JP3266891B2 - Lightning prediction support device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a lightning prediction support device for predicting the occurrence of lightning (hereinafter referred to as lightning) using observation values such as data on thunderclouds obtained from weather sensors.

[0002]

2. Description of the Related Art FIG. 33 shows, for example,
Nomoto Kohei, Kosuge Yoshio, Lightning prediction method using case search based on multiple sensor data, conventional lightning prediction support described in the Institute of Electronics, Information and Communication Engineers, IEICE Technical Report, SANE98-48 It is a block diagram of an apparatus.

The operation of a conventional lightning prediction support apparatus will be described with reference to FIG. The weather status data file 1 includes, for example, a weather radar for observing the intensity information of the echo of a thundercloud, a static direction finder for observing a lightning position where a lightning has occurred, or an electric field meter for measuring an electric field intensity. Based on the observation results of the current lightning situation such as the echo of the thundercloud, the lightning location, and the electric field strength from multiple sensors, the current lightning judgment element calculated for each area where lightning is to be observed is stored. . Here, the lightning determination element is data that has been processed based on the observation result of the lightning situation. For example, the position of the area where lightning should be observed and the time at which the observation result was obtained are added to data such as the temperature of the cloud apex for each area, the echo intensity for each area, or the cloud thickness and the number of changes in the polarity of the electric field meter. And a lightning risk that quantifies the possibility of lightning comprehensively based on the lightning determination element. Further, the lightning risk becomes high, for example, when the thickness of the thundercloud in the altitude direction is high, or when the echo intensity is developing. These lightning determination elements are calculated for each plane section obtained by dividing a region where lightning is to be observed as shown in FIG. 34 at equal intervals.

The weather image data file 2 stores the image data of the lightning risk calculated for each plane section. This image data is, for example, a color-coded display of the value of the lightning risk degree divided into several ranges.

The retrieval condition determiner 3 inputs the image data of the current lightning judgment element and the lightning risk information, and an operator or the like refers to the output of the lightning risk image, and the area where the lightning risk image is high is used as a thunder cloud. And select a position on the image to be searched. FIG. 35 shows an example of selection. As shown in FIG. 35, the selection result outputs the lightning risk image time (year / month / day / hour / minute) as the designated time using the coordinates of the selected position as the designated position. From these designated positions and designated times, it is determined which data on the lightning risk information image or which data should be used as a search condition, and is calculated as, for example, a search target for an area position and a search condition for time. I do. Search conditions for these positions or time
For example, it is output together with the current lightning judgment element as a search condition.

The similarity calculation target data selector 35 inputs the search condition, the current lightning judgment element, and past weather data stored in the weather case data file 4, and inputs the past weather data based on the search condition. The data for which the similarity should be calculated is extracted from the meteorological data, and is output as the similarity calculation target data together with the current lightning determination element. Here, the past weather data is data obtained by recording and storing past lightning determination elements. FIG. 36 shows an example of past weather data. As described above, in the past weather data, each row has one piece of data, and each column has each specific data content. For example, the data in the first row is 13:00 on October 1, 1995
Min, the position of the area is (x0, y0), and the lightning judgment element is composed of the thickness of the cloud, the number of polarity changes, and the risk of lightning. ing.

The similarity calculator 36 calculates the similarity between the similarity calculation target data and the lightning determination element data for each similarity calculation target data. The method will be described below. First, the similarity is calculated for each type of data included in the lightning determination element. For example, FIG.
In step 6, the similarity to the cloud thickness and the similarity to the number of polarity changes are calculated using the thickness of the cloud and the number of polarity changes in the lightning determination element. As a calculation expression, for example, an expression such as Expression (1) is used.

[0008]

(Equation 1)

Here, ri is the similarity, C is a constant, vi is the value of the lightning judgment element in the case, and vi 'is the value of the lightning judgment element in the search condition.

After calculating the similarity for each type of element as described above, the similarity for each type is calculated by (2)
The similarity is finally integrated by using an expression such as an expression.

[0011]

(Equation 2)

Here, R 'is the integrated similarity, ri is the similarity in each lightning judgment element, wi is the weight of each lightning judgment element, and m is the number of lightning judgment elements. In addition, wi is (3)
It is assumed to be provided so as to satisfy the expression.

[0013]

(Equation 3)

The search result creator 8 processes each row of the data for calculating the similarity based on the similarity of the data to create a search result. FIG. 37 shows an example of the search result. As shown in FIG. 37, the search result includes a search case in which a row indicates a similar case extracted as a result of the search, and a column in which data represents each case. Further, as shown in the first line of FIG. 37, the data representing each search case is configured from, for example, time, search condition, similarity, and lightning determination element. Taking the second line as an example, 199
This is data at 22:50 on December 27, 1995, which means that the search condition is 15:00 on December 16, 1997, and the similarity with the search condition is 0.95. The search results are stored in the search result file 9 and output to the search result display 10.

The search result display 10 processes the search result so that it can be easily displayed, and displays it as a search result list. As a display method, the time when the case similar to the lightning determination element occurs, the similarity, and when a plurality of search conditions are used, the presence or absence of data corresponding to each condition is displayed. Further, it is determined whether or not lightning has occurred at the time of each search case, and the presence or absence of lightning is also displayed. FIG. 38 shows an example of the search list created in this way. In FIG. 38, rows correspond to respective search cases, and columns correspond to specific contents. For example, the case of the first line is a case at 22:50 on December 27, 1995, which means that lightning has occurred and the similarity with the original search condition is 95%. . Here, the similarity with the original search condition shown in the table is calculated using, for example, the average value of the similarity stored in the data corresponding to the same search case in the search result list. . Also, whether or not a lightning strike is taking place in the data corresponding to the same case,
If any one of the data indicates that lightning has occurred, it is determined that lightning has occurred. Further, in the search result display 10, when an arbitrary search case displayed in the search result list is selected, the time when the search case occurred, or weather image data before and after the search case is input from the weather image data file 2. Then, the display is also performed.

[0016]

Since the conventional lightning prediction support apparatus is configured as described above, even if the thunderclouds in the searched case have completely different physical spreads of the thunderclouds in the search condition. If the areas specified as the search conditions are similar, the similarity is calculated to be high. For this reason, there is a problem that the physical spread of the thundercloud is completely ignored, and accurate prediction cannot be performed.

The present invention has been made in order to solve such a problem, and retrieves past weather cases similar to the current weather conditions in consideration of the shape indicating the physical spread of a thundercloud, and predicts them. It is an object of the present invention to provide a lightning prediction support device that performs lightning prediction prediction with higher accuracy than before.

[0018]

SUMMARY OF THE INVENTION In view of the above-mentioned object, the present invention is based on a search condition, a current lightning judgment element, and past weather data including a lightning judgment element. A shape-constrained thundercloud comparator that compares the appearance of thunderclouds in the meteorological data in consideration of the shape of the thundercloud and obtains a comparison result of the state of the thundercloud in consideration of the shape,
The similarity in consideration of the shape of the thundercloud is calculated from the past weather data selected based on the comparison result, the search condition and the current lightning judgment element, and the selected past weather data and the similarity to it are calculated. And a search result including the search result.

Further, a weather condition data file storing current lightning judgment elements and a weather image data file storing image data of risk of lightning calculated based on observation results of the current lightning situation. The image data of the current lightning determination element and the risk information of the lightning are input, and the search target for the position of the thundercloud and the search target for time are calculated as search conditions, and output together with the current lightning determination element. A search condition determiner, a weather case data file storing past weather data, the search condition, the current lightning judgment element, and the past weather data are input, and a state of a thunder cloud in the search condition is input. And the state of the thundercloud in the past weather data is compared in consideration of the shape of the thundercloud, and the shape-considered thundercloud ratio is output as a comparison result of the state of the thundercloud in consideration of the shape And the comparison result of the state of the thundercloud in consideration of the shape, the search condition, the current lightning determination element, and the past weather data, and the comparison result of the state of the thundercloud in consideration of the shape Utilizing, the data is selected from the past weather data, the selected past weather data, the search condition, and the thundercloud shape consideration similarity calculation data selector that outputs the current lightning judgment element And the selected past weather data, the search condition, and the current lightning determination element are input, a similarity is calculated in consideration of the shape of the thundercloud, and the similarity is calculated based on the selected past lightning. A thundercloud shape-based similarity calculator that outputs together with the weather data, the similarity and the selected past weather data are input, a search result is created, and a search result creator that outputs the search result; The search results and the risk of lightning 2. A lightning prediction support according to claim 1, further comprising: a search result display for inputting the image data, displaying and outputting the search result, and a search result file for storing the search result. In the device.

Further, the search condition, the current lightning judgment element, and the past weather data are input to the shape-considered thundercloud comparator, and the appearance of the thundercloud in the past weather data is determined based on all the case data. The lightning prediction support apparatus according to claim 2, further comprising: a current thundercloud and a thundercloud comparator of case data, which is calculated and compared with a state of the thundercloud under the search condition.

Further, a current thundercloud range determiner for inputting the search condition and the current lightning judgment element to a current thundercloud and a thundercloud comparator of case data, calculating and outputting a current thundercloud range, The current thundercloud shape calculator for inputting the thundercloud range of, calculating and outputting a vector representing the current thundercloud shape, and inputting the search condition and the past weather data, and extracting target data to be compared with the thundercloud shape Then, a thundercloud shape comparison target case data extractor that outputs the thundercloud shape comparison target case data together with past weather data, the thundercloud shape comparison target case data, and the past weather data are input, and the thundercloud shape comparison target case is input. A thundercloud range determiner for example data that calculates and outputs a thundercloud range of data, and a thundercloud range of the thundercloud shape comparison target data are input, and the thundercloud shape of the thundercloud shape comparison target data is input. Calculating a vector to represent, a case data thundercloud shape calculator to output as case data thundercloud shape vector, the current thundercloud shape vector, and input the case data thundercloud shape vector, the current thundercloud shape vector and A thundercloud shape difference determiner that determines a difference in a thundercloud shape vector of the case data, and outputs the determination result as a comparison result of a state of the thundercloud in consideration of the shape,
4. The lightning prediction support apparatus according to claim 3, further comprising:

The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element adjacent to the data specified as the search condition is extracted. A lightning judgment element, the search condition, an adjacent data searcher for present data that is output together with the current lightning judgment element, the adjacent lightning judgment element, the search condition, and the current lightning judgment element And determining whether or not a thundercloud is from the adjacent lightning determination element, and a current state data thundercloud determiner that outputs the result of the determination as a current thundercloud range, and a thundercloud range determiner for the case data. The thundercloud shape comparison target case data and the past weather data are input, and data specified as the thundercloud shape comparison target case data and an adjacent lightning determination element are extracted, and the adjacent lightning determination element is And serial thundercloud shape comparison case data,
The adjacent data searcher for the case data to be output together with the past case data, the adjacent lightning determination element, the thundercloud shape comparison target case data, and the past case data are input, and from the adjacent lightning determination element And a case data thundercloud determiner for judging whether or not the adjacent data of the case data is a thundercloud, and outputting the judgment result as a thundercloud range of the case data for the thundercloud shape comparison target. Item 4 is a lightning prediction support device.

Further, the search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near the data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, the current lightning judgment element is compared with the nearby lightning judgment element, and the comparison result of the lightning judgment element is output together with the search condition and the current lightning judgment element. The data and the neighborhood data comparator, the comparison result of the lightning determination element, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is determined as the current thundercloud range. Thundercloud of current status data output as And a constant value, the thundercloud range determiner of the case data, the thundercloud shape comparison target case data, and input the past case data, near the data specified as the thundercloud shape comparison target case data Extracting a lightning judgment element, the nearby lightning judgment element, the thundercloud shape comparison target case data, a case data neighborhood data searcher that outputs together with the past case data, and the vicinity lightning judgment element And, the thundercloud shape comparison target case data and the past case data are input, and the thundercloud shape comparison target case data is compared with the nearby lightning determination element,
The comparison result of the lightning determination element, the case data to be compared with the thundercloud shape comparison, the case data and the neighborhood data comparator to be output together with the past case data, the comparison result of the lightning determination element, and the comparison result of the thundercloud shape Case data and a case data thundercloud determiner that inputs the past case data, determines a thundercloud range in the case, and outputs the determination result as a case thundercloud range. 4. The lightning prediction support apparatus according to item 4.

Further, the search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near the data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, and missing data between the current lightning judgment element and the nearby lightning judgment element is complemented, and the complement result is output together with the search condition and the current lightning judgment element. A missing data compensator, the complementation result, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is output as the current thundercloud range. Data usage status The thundercloud range determiner of the case data, the thundercloud shape comparison target case data and the past case data are input, and a lightning determination element near data specified as the thundercloud shape comparison target data The vicinity lightning determination element, the vicinity data searcher of the case data to be output together with the thundercloud shape comparison case data and the past case data, the nearby lightning determination element, and the thundercloud Shape comparison target case data, input the past case data, complement the missing data between the thundercloud shape comparison target case data and the nearby lightning determination element,
The complemented result is the past case data, the missing data complementer of case data that is output together with the thundercloud shape comparison target case data, the complementation result, the thundercloud shape comparison target case data, and the past case data. 5. A thundercloud determiner for determining the range of a thundercloud in a case, and outputting a result of the determination as a range of a thundercloud of the case data. It is in the prediction support device.

Further, the current thundercloud shape vector and the thundercloud shape vector of the case data are input to the thundercloud shape difference determiner, and the difference between the current thundercloud shape vector and the thundercloud shape vector of the case data is calculated. 8. A thundercloud shape difference calculator which outputs the difference of the thundercloud shape vector as a comparison result of the difference between the current thundercloud shape and the thundercloud shape of the case data. And a lightning prediction support device described in

The current thundercloud shape vector and the thundercloud shape vector of the case data are input to the thundercloud shape difference determiner, and the ratio of the current thundercloud shape vector to the thundercloud shape vector of the case data is calculated. 8. A thundercloud shape ratio calculator which outputs a ratio of the thundercloud shape vector as a result of comparing a difference between the current thundercloud shape and the thundercloud shape of the case data. And a lightning prediction support device described in

The search condition and the past weather data are input to the thundercloud shape comparison target case data extractor, and target data whose thundercloud shape is to be compared is extracted based on the position of the past weather data. 10. The lightning prediction support apparatus according to claim 8, further comprising a position-based thundercloud shape comparison example data extractor that outputs the thundercloud shape comparison target case data together with past weather data.

The search conditions and the past weather data are input to the thundercloud shape comparison target case data extractor, and the data to be compared with the thundercloud shape is extracted based on the past weather data position and time. 10. The lightning prediction support device according to claim 8, further comprising a thundercloud shape comparison target case data extractor based on position and time, which is output together with past weather data as thundercloud shape comparison target case data. It is in.

The search condition and the past weather data are input to the thundercloud shape comparison case data extractor, and all the past weather data are extracted. 10. The lightning prediction support apparatus according to claim 8, further comprising an all-case thundercloud shape comparison target case data extractor that outputs the data together with the meteorological data.

Further, a weather condition data file storing the current lightning judgment element calculated based on the observation result of the current lightning situation, and a weather image data file storing image data of the risk of lightning. The image data of the current lightning determination element and the risk information of the lightning are input, and the search target for the position of the thundercloud and the search target for the time are calculated as search conditions, and output together with the current lightning determination element. A search condition determiner, a weather case data file storing past weather data, the search condition, the current lightning determination element, and the past weather data are input,
The search condition is used to extract data from which the similarity is to be calculated from the past weather data, and the extracted data is used as the similarity calculation target data as the current lightning determination element, together with the search condition. A similarity calculation target data selector to be output, the similarity calculation target data, the current lightning determination element, and the search condition are input, and case data with similarity is calculated. The search conditions as past weather data, a similarity calculator that outputs the current lightning determination element together, the search conditions,
The current lightning judgment element and the past weather data are input, and the state of the thundercloud in the search condition and the state of the thundercloud in the past weather data are compared in consideration of the shape of the thundercloud, and the shape is considered. The shape-considered thundercloud comparator that outputs the result of comparison of the state of the generated thundercloud, the comparison result of the state of the thundercloud in consideration of the shape, the search condition, the current lightning determination element, and the past weather data. Is used, the similarity of the case data with similarity calculated as past weather data is corrected using the comparison result of the state of the thundercloud in consideration of the shape, and the corrected past weather data is output. A thundercloud shape similarity corrector, a corrected search result generator for inputting the corrected past weather data, generating and outputting a search result, and inputting the search result and the image data of the risk of lightning strike. , The search results A search result display unit for displaying output,
2. The lightning prediction support apparatus according to claim 1, further comprising: a search result file storing the search result.

Further, the search condition, the current lightning judgment element, and the case data with similarity as the past weather data are input to the shape-constrained thundercloud comparator, and the case data with similarity is input in the case data with similarity. 14. The lightning prediction support apparatus according to claim 13, further comprising: a thundercloud comparator for calculating the state of the thundercloud and comparing the state of the thundercloud with the state of the thundercloud in the search condition. .

Further, a current thundercloud range determiner for inputting the search condition and the past weather data to a thundercloud comparator of the current thundercloud and the data with similarity, calculating and outputting a current thundercloud range, The current thundercloud range is input, the current thundercloud shape calculator that calculates and outputs the current thundercloud shape, and the past weather data is input, and case data with similarity to compare the thundercloud shape is extracted, and the thundercloud shape is extracted. A data selector with similarity to be output together with the past weather data as data with similarity to be compared, the thundercloud shape comparison similarity data, and the past weather data are input, and the thundercloud shape comparison similarity is input. A thundercloud range determiner for data with similarity that calculates and outputs a thundercloud range of attached data, and a thundercloud range of the data with similarity for comparison of the thundercloud shape are input, and the thundercloud shape of the data with similarity for comparison with the thundercloud shape is input. Calculate and input the thundercloud shape calculator of the data with similarity to be output as the thundercloud shape of the data with similarity, the current thundercloud shape, and the thundercloud area of the data with similarity, and input the current thundercloud shape, 15. A thundercloud shape difference determiner that determines a difference in thundercloud shape of the data with similarity and outputs the determination result as a comparison result of a state of a thundercloud in consideration of the shape. The lightning prediction support device described in (1).

Further, the search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element adjacent to the data specified as the search condition is extracted. A lightning judgment element, the search condition, an adjacent data searcher for present data that is output together with the current lightning judgment element, the adjacent lightning judgment element, the search condition, and the current lightning judgment element And determining whether or not a thundercloud is present from the adjacent lightning determination element, and outputting a result of the determination as a current thundercloud range. The thundercloud shape comparison target similarity-attached data and the past weather data are input to the device, and data designated as the thundercloud shape comparison target similarity-attached data and an adjacent lightning determination element are extracted. Lightning A constant element, the adjacent data searcher for the data with similarity to be compared with the thundercloud shape comparison target and the past weather data, the adjacent lightning determination element, and the Data and
The past weather data is input, and from the adjacent lightning strike determination element, it is determined whether or not the adjacent data of the past weather data is a thundercloud. 16. A lightning prediction support apparatus according to claim 15, further comprising: a thundercloud determiner for data with similarity that is output as.

Further, the search condition and the current lightning judgment element are inputted to the current thundercloud range determiner, and a lightning judgment element near the data designated as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, the current lightning judgment element is compared with the nearby lightning judgment element, and a comparison result of the lightning judgment element is output together with the search condition and the current lightning judgment element. The data and the neighboring data comparator, the comparison result of the lightning determination element, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is determined as the current thundercloud range. Thundercloud of current status data output as The thundercloud shape comparison target similarity data and the past weather data are input to the thundercloud range determination device for the similarity data, and designated as the thundercloud shape comparison target similarity data. Extract a lightning determination element in the vicinity of the data obtained, the lightning determination element in the vicinity,
The thundercloud shape comparison target similarity-attached data, the proximity data searcher of the similarity-attached data output together with the past weather data, the nearby lightning determination element, and the thundercloud shape comparison-targeted similarity-attached data, The past weather data is input, the thundercloud shape comparison target similarity-attached data is compared with the nearby lightning judgment element, and the comparison result of the lightning judgment element is compared with the thundercloud shape comparison target similarity-attached data. The data with similarity and the neighboring data comparator output together with the past weather data, the comparison result of the lightning determination element, the thundercloud shape comparison target similarity with data, and the past weather data, Determine the thundercloud range in the data with similarity,
16. The lightning prediction support apparatus according to claim 15, further comprising: a thundercloud determination unit for data with similarity that outputs the determination result as a thundercloud range of the data with similarity.

Further, the search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near the data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, and missing data between the current lightning judgment element and the nearby lightning judgment element is complemented, and the complement result is output together with the search condition and the current lightning judgment element. A missing data compensator, the complementation result, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is output as the current thundercloud range. Data usage status The thundercloud range determiner of the data with similarity, the thundercloud shape comparison target similarity data, the past weather data is input, the data specified as the thundercloud state comparison target similarity data A nearby lightning judgment element is extracted, and the lightning judgment element in the vicinity is compared with the thundercloud shape comparison target similarity data and the similar data with similarity data that is output together with the past weather data. The nearby lightning judgment element, the data with the similarity of the thundercloud state comparison target, and the past weather data are input, and the missing data between the data with the similarity of the thundercloud shape comparison target and the nearby lightning judgment element. Complementing the complemented result, the past weather data, the missing data complementer of the data with similarity that is output together with the data with similarity to be compared with the thundercloud shape comparison, the complementing result, the thundercloud shape comparison Data with elephant similarity and the past weather data, determine the thundercloud range in the data with similarity, and output the determination result as the thundercloud range of the data with similarity. The lightning prediction support apparatus according to claim 15, further comprising: a determiner.

Further, the current thundercloud shape and the thundercloud shape of the data with similarity are input to the thundercloud shape difference determiner, and the difference between the current thundercloud shape and the thundercloud shape of the data with similarity is calculated. 19. A thundercloud shape difference calculator which outputs the difference in the thundercloud shape as a comparison result of the difference between the current thundercloud shape and the thundercloud shape of the data with similarity. A lightning prediction support apparatus according to any one of the above.

The current thundercloud shape and the thundercloud shape of the data with similarity are input to the thundercloud shape difference determiner, and the ratio between the current thundercloud shape and the thundercloud shape of the data with similarity is calculated. 19. A thundercloud shape ratio calculator which outputs the ratio of the thundercloud shape as a comparison result of the difference between the current thundercloud shape and the thundercloud shape of the data with similarity. A lightning prediction support apparatus according to any of the above.

Further, the search condition and the past weather data are input to the data selection device with similarity degree, and all the input past weather data are extracted as thundercloud shape comparison target similarity data. 21. The lightning prediction support apparatus according to claim 19, further comprising a data selector with similarity that is output together with the past weather data.

Further, the search condition and the past weather data are input to the similarity-added data selection device, and the similarity-added case data to be compared with the thundercloud shape is calculated based on the similarity in the similarity-added case data. 21. The lightning prediction support apparatus according to claim 19, further comprising a data selection unit based on the similarity that extracts and outputs the data with the similarity of the thundercloud shape comparison target together with the past weather data.

Further, in the data selection device based on the similarity,
Inputting the search condition and the past weather data, and selecting data having a similarity in the case data with similarity equal to or more than a certain value as case data with similarity to be compared with the thundercloud shape, and selecting data having a certain degree of similarity or more. 23. The lightning prediction support apparatus according to claim 22, further comprising a light emitting device.

Further, in the data selection device based on the similarity,
A high-similarity ordered data selection unit that inputs the search condition and the past weather data and extracts the thundercloud shape as case data with similarity to be compared according to the order of similarity in the case data with similarity; 23. The lightning prediction support apparatus according to claim 22, wherein:

[0042]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiment 1 FIG. 1 is a block diagram showing a lightning prediction support apparatus according to an embodiment of the present invention. In FIG. 1, 1 is a weather status data file, 2
Is a meteorological image data file, 3 is a search condition determiner, 4 is a meteorological case data file, 5 is a shape-considered thundercloud comparator, 6
Is a thundercloud shape consideration similarity calculation data selector, 7 is a thundercloud shape consideration similarity calculator, 8 is a search result creator, 9 is a search result file, and 10 is a search result display. Further, the shape-considered thundercloud comparator 5 includes a thundercloud comparator 11 of the current thundercloud and case data. The current thundercloud and case data thundercloud comparator 11 includes a current thundercloud range determiner 12, a current thundercloud shape vector calculator 13, a thundercloud shape comparison target case data determiner 14, and a case data thundercloud range determiner 15.
And a thundercloud shape calculator 16 for case data and a thundercloud shape difference determiner 17. The current thundercloud range determiner 12 includes an adjacent data searcher 18 for current data,
It is constituted by a thundercloud judging device 19 of the current situation data. The thundercloud shape comparison target case data extractor 14 includes a thundercloud shape comparison target case data extractor 20 based on the position. In addition, the thundercloud range determiner 15 of the case data
Is composed of an adjacent data searcher 21 for case data and a thundercloud determiner 22 for case data. The thundercloud shape difference determining unit 17 includes a thundercloud shape difference calculator 23.

Next, the operation will be described. The current lightning judgment element is stored in the weather status data file 1 in advance. The weather image data file 2 stores image data of the lightning risk information in advance. The search condition determiner 3 inputs image data of the current lightning judgment element and lightning risk information as in the case of the conventional lightning prediction support device, and an operator or the like outputs the lightning risk image. A reference position on the image to be searched is selected, and this is output as the search condition together with the current lightning determination element. The weather case data file 4 stores the past weather data in advance. These are known as shown in the prior art.

The shape-constrained thundercloud comparator 5 receives the search condition, the current lightning determination element, and the past weather data, and inputs the search condition, the state of the thundercloud under the search condition, and the thundercloud in the past weather data. Are compared in consideration of the shape showing the spread of the thundercloud, the value of the comparison result of the state of the thundercloud in consideration of the shape of the thundercloud is calculated, and output to the thundercloud shape-based similarity calculation data selector 6. . In FIG.
It is composed of a current thundercloud and a thundercloud comparator 11 of case data.

Thundercloud comparator 11 for current thundercloud and case data
The search condition, the current lightning judgment element, and the past weather data are input, the state of the thundercloud in the past weather data is calculated from all the case data, and the state of the thundercloud in the search condition is calculated. Compare. Further, the comparison result is output to the thundercloud shape consideration similarity calculation data selector 6 as a comparison result of the state of the thundercloud in consideration of the thundercloud shape. The following is the current thundercloud and case data thundercloud comparator 11
Will be described in detail.

The current thundercloud range determiner 12 inputs the search condition and the current lightning judgment element, and based on these inputs, examines data around the position given as the search condition at the current time. Then, the current thundercloud range, which is the extent of the thundercloud from the position given as the current search condition, is determined. Further, the current thundercloud range is output to the current thundercloud shape calculator 13. In FIG. 1, it is constituted by an adjacent data searcher 18 for current data and a thundercloud determiner 19 for current data.

The current data adjacent data searcher 18 inputs the search condition and the current lightning judgment element, and based on these inputs, the lightning of an area adjacent to the data specified as the search condition is input. Extract judgment elements. FIG. 2 shows an example of extracting a lightning determination element. In FIG. 2, if the coordinates given as the search condition are (x0, y0), for example, the X coordinate is x0-1 in the current lightning judgment element.
, And all data whose Y coordinate is located between y0-1 and y0 + 1 are extracted. In FIG. 2, the range of data to be extracted is indicated by hatching. The extracted lightning determination element of the adjacent area is output as the adjacent lightning determination element to the thundercloud determiner 19 of the current state data together with the search condition and the current lightning determination element.

The current data thundercloud judgment unit 19 inputs the adjacent lightning judgment element, the search condition, and the current lightning judgment element, and based on the adjacent lightning judgment element, determines whether the adjacent area is a thundercloud. Determine whether or not. The determination is made based on, for example, whether the value of the lightning determination element given in the search condition exceeds the value of the lightning determination element in the current lightning determination element. FIG. 3 shows an example of the determination. FIG. 3 performs the determination based on the lightning risk information. If the current lightning determination element at (x0, y0 + 1) has a high lightning risk, this is determined to be a thundercloud. On the other hand, if the current lightning determination element at (x0-1, y0-1) has a low lightning risk, it is determined that this is not a thundercloud. If it is determined to be a thundercloud, the determined position is output to the adjacent data search unit 18 for the current data, and the adjacent data is searched for in the same manner as described above.
If it is not determined to be a thundercloud, the search for adjacent data is terminated. This is repeated to determine the final current thundercloud range. FIG. 4 shows an example of the determined current thundercloud range. The current thundercloud range is calculated by using the current thundercloud shape calculator 13.
Output to

The current thundercloud shape calculator 13 inputs the search condition, the current lightning determination element, and the current thundercloud range, and calculates a vector representing the current shape of the thundercloud based on the input. For example, in the current thundercloud range as shown in FIG. 4, there are a total of eight regions determined to be thunderclouds, the left end of which is (x0-1, y0 + 2) and the right end is (x0 + 2, y
0), the upper end is (x0, y0 + 2), and the lower end is (x0 + 1, y0-1). That is, the current thundercloud is (x0-1, x0 + 2), (y0-1, y0 + 2)
And the vertical length (hereinafter referred to as vertical length) and the horizontal length (hereinafter referred to as horizontal length) are as shown in FIG. If the length representing one region of the thundercloud is 1 unit × 1 unit, the current vertical length is 4 units and the horizontal length is 4 units. Therefore, a vector representing the current thundercloud shape as shown in FIG. 5 is calculated using the portrait and landscape. The vector representing the current thundercloud shape is output to the thundercloud shape difference determiner 17.

Thundercloud shape comparison case data extractor 14
Enter the search conditions and the past weather data,
Based on these inputs, target data to be compared for the shape of the thundercloud is extracted and output to the thundercloud range determiner 15 of the case data together with the past weather data as the thundercloud shape comparison target case data. In FIG. 1, a thundercloud shape comparison target case data extractor 20 by position is configured.

The case data extractor 20 for comparing the shape of the thundercloud based on the position extracts the target data to be compared with the shape of the thundercloud from the past weather data using the position specified as the search condition. This is the case data of the thundercloud shape comparison target. FIG. 6 shows an example of extraction. FIG. 6 shows that when the position specified as the search condition is (x0, y0),
This is an example in which the range of coordinates is extracted as target case data for comparing the shape of a thundercloud. The range of the position to be extracted is given in advance.

The thundercloud range determiner 15 of the case data inputs the thundercloud shape comparison target case data and the past weather data. Based on these inputs, a thundercloud shape comparison target case data is obtained from the position given by the thundercloud shape comparison target case data. Determine the extent of the thundercloud in the case data of how wide the thundercloud is.
Further, the thundercloud range of the case data is output to the thundercloud shape calculator 16 of the case data. In FIG. 1, it is constituted by an adjacent data searcher 21 for case data and a thundercloud determiner 22 for case data.

The adjacent data searcher 21 for the case data inputs the thundercloud shape comparison case data and the past weather data, and, based on these inputs, an area designated as the thundercloud shape comparison case data, In addition, a lightning determination element in an area adjacent to the designated area is extracted. The method of extraction is exactly the same as that in the adjacent data searcher 18 of the present situation data, if the search condition is replaced with the case data of the thundercloud shape comparison target and the current lightning judgment element is replaced with the past weather data. It is. The extracted lightning determination element of the adjacent region is output to the thundercloud determination unit 22 of the case data together with the thundercloud shape comparison target case data and the past weather data as the adjacent lightning determination element.

The case data thundercloud determination unit 22 calculates the adjacent lightning emission determination element, the thundercloud shape comparison target case data,
The past weather data is input, and it is determined whether or not the adjacent area is a thundercloud based on the adjacent lightning emission determination element. The method of determination is exactly the same as the operation described above, if the search condition is replaced with the case data of the thundercloud shape comparison target and the current lightning determination element is replaced with the past weather data in the thundercloud determiner 19 of the current state data. Become. As in the case of the thundercloud determiner 19 of the present situation data, when the thundercloud is determined, the determined position is output to the adjacent data searcher 21 of the case data, and the adjacent data is searched in the same manner as above. .
If it is not determined to be a thundercloud, the search for adjacent data is terminated. By repeating this, the thundercloud range of the final thundercloud shape comparison target case data (hereinafter referred to as the thundercloud range of the case data) is determined. FIG. 7 shows an example of the thundercloud range of the case data finally determined. In FIG. 7, a part of the thundercloud shape comparison target case data and one region adjacent to the thundercloud shape comparison target case data is a thundercloud region of the case data. The thundercloud range of the case data is output to the case data thundercloud shape calculator 16.

The thundercloud shape calculator 16 for the case data inputs the thundercloud range of the thundercloud shape comparison case data, and calculates a vector representing the shape of the thundercloud in the thundercloud shape comparison case data based on this. The calculation example is the same as the current thundercloud shape calculator 13 in which the current thundercloud range is replaced with the thundercloud range of the case data. For example, in the thundercloud shape comparison example data as shown in FIGS. 6 and 7, there are a total of ten regions determined to be thunderclouds,
The left end of the region is (x0, y0), the right end is (x0 + 3, y0 + 2), the upper end is (x0 + 2, y0 + 4), and the lower end is (x0 + 1, y0-1). That is, the current thundercloud is in the range of (x0, x0 + 3) and (y0-1, y0 + 4), and the vertical and horizontal lengths are as shown in the figure. The unit and the horizontal length are 4 units.
Therefore, a vector representing the current thundercloud shape as shown in FIG. 8 is calculated using the portrait and landscape. The vector representing the thundercloud shape of the case data is output to the thundercloud shape difference determiner 17.

The thundercloud shape difference determiner 17 receives the current thundercloud shape vector and the thundercloud shape vector of the case data, and quantitatively compares the current thundercloud shape vector with the thundercloud shape vector of the case data. Further, the comparison result is output to the thundercloud shape consideration similarity calculation data selector 6 as a comparison result of the state of the thundercloud in consideration of the shape. In FIG. 1, it comprises a thundercloud shape difference calculator 23.

The thundercloud shape difference calculator 23 inputs the current thundercloud shape vector and the thundercloud shape vector of the case data, and calculates the difference between the current thundercloud shape vector and the thundercloud shape vector of the case data, for example, as ( Calculated as in equation 4).

[0058]

(Equation 4)

Where Sv is the difference between the thundercloud shape vectors and l ₀
The portrait of the current thundercloud shape vector, l ₁ is vertically elongated thundercloud shape vector of the case data, w ₀ is oblong the current thundercloud shape vector, w ₁ is a horizontally long thundercloud shape vector of the case data.

For example, if a thundercloud shape vector is given as shown in FIGS. 5 and 8, the difference between the thundercloud shape vectors is 2. The calculated value of the thundercloud shape vector difference is used as a comparison result of the state of the thundercloud in consideration of the shape.

Thundercloud shape similarity calculation data selector 6
Is inputted with the comparison result of the state of the thundercloud in consideration of the shape, the search condition, the current lightning judgment element, and the past weather data, and based on these inputs, the thundercloud in consideration of the shape. The data is selected from the past weather data by using the comparison result of the situation. The selection is performed in the same manner as in the similarity calculation target data selector 36, and the selection is performed. The comparison result of the state of the thundercloud in consideration of the shape with the selected data is more than a certain value. Only a method of reselecting only the selected past weather data or assigning a weighting value to all selected past weather data based on a comparison result of the state of the thundercloud in consideration of the shape of the thundercloud is performed. The selected past weather data is output to the thundercloud shape consideration similarity calculator 7 together with the search condition and the current lightning determination element.

The similarity calculator 7 considering the thundercloud shape receives the selected past weather data, the search condition, and the present lightning judgment element, and considers the shape of the thundercloud based on these inputs. The calculated similarity is calculated. First, after performing the same operation as the similarity calculator 102, the similarity is calculated again using, for example, the equation (5). The calculated similarity is output to the search result generator 8 together with the selected past weather data.

[0063]

(Equation 5)

[0064] However, the similarity R is that recalculated, R 'is a conventional similarity, Rcom the comparison result of the state of the thundercloud Considering the thundercloud shape, C ₁ is a constant.

The search result creator 8 performs processing based on the similarity and the selected past weather data to create a search result. The creation method is the same as the method shown in the prior art. The search results are stored in the search result file 9 and output to the search result display 10.

The search result display 10 processes the search result so as to be easily displayed, and displays it as a search result list. The display is performed in the same manner as in the prior art.

As described above, the lightning prediction support apparatus according to this embodiment has the following effects. By searching past weather cases similar to the current weather situation taking into account the shape that indicates the physical spread of thunderclouds and using it for prediction,
Lightning prediction prediction can be performed with higher accuracy than before. It is possible to search for past weather cases similar to the current weather conditions while considering the range of the thundercloud. The range of thunderclouds can be accurately determined, and past weather cases similar to the current weather conditions can be searched. In consideration of the shape of the current thundercloud and the shape of the past thundercloud, it is possible to search for only past weather cases that are extremely similar to the current weather condition. It is possible to accurately and quickly search for past weather cases similar to the current weather conditions, taking into account the location of the thundercloud.

Embodiment 2 FIG. 9 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention. In FIG. 9, the current thundercloud range determiner 12 includes a current data neighborhood data searcher 24, a current data and neighborhood data comparator 25, and a current data thundercloud determiner 19A. Further, the thundercloud shape comparison target case data extractor 14 includes a thundercloud shape comparison target case data extractor 26 based on position and time. The case data thundercloud range determiner 15 includes a case data neighborhood data searcher 27, case data and neighborhood data comparator 28, and case data thundercloud determiner 22A. The thundercloud shape difference determining unit 17 includes a thundercloud shape ratio calculator 29.

Next, the operation will be described. The current data proximity data searcher 24 inputs the search condition and the current lightning judgment element, and based on these inputs, in the area where the data exists, the data specified as the search condition is used. The lightning determination element in the closest area (hereinafter referred to as a nearby lightning determination element) is extracted. FIG. 10 shows an example of extracting nearby lightning determination elements. In FIG. 10, for example, it is assumed that the coordinates given as the search condition are (x0, y0). At this time, the area where the lightning judgment element is obtained at the position closest to the search condition is (x0 + 1, y0 + 2) and
Since it is (x0-1, y0-2), it is extracted as a nearby lightning determination element. The extracted nearby lightning determination element is output together with the search condition and the current lightning determination element.

The current state data and neighborhood data comparator 25 inputs the neighborhood lightning judgment element, the search condition, and the current lightning judgment element, and inputs the current lightning judgment element and the neighborhood lightning judgment element. Compare lightning judgment factors. The comparison is performed using one or a plurality of values of a lightning determination element such as a lightning risk. FIG. 11 shows a comparative example. In FIG. 11, the neighborhood data in the area (x0 + 1, y0 + 2) has a higher lightning risk than the search condition, and the neighborhood data in the area (x0-1, y0-2) is the lightning risk. Is low.

The current state data thundercloud determiner 19A inputs the comparison result of the lightning determination element, the search condition, and the current lightning determination element, and determines the current thundercloud range based on the input. The determination is made by using, for example, whether or not the vicinity data exceeds a preset lightning risk level. FIG. 12 shows an example of the determination. The current data and the proximity data comparator 24 indicate that the proximity data at (x0 + 1, y0 + 2) was higher than the preset lightning risk value, so that the X coordinate was (x0, x0 + 1) and the Y coordinate was Any region where exists between (y0, y0 + 2) is determined to be a thundercloud. On the other hand, (x0-
Since the neighborhood data at (1, y0-2) was lower than the preset lightning risk level, the X coordinate was (x0, x0-1),
It is determined that all regions where the Y coordinate exists between (y0, y0-2) are not thunderclouds. If it is determined that a thundercloud is present, the determined position is output to the proximity data search unit 23 of the current data, and the proximity data is searched for in the same manner as described above. If it is not determined that the cloud is a thundercloud, the search is terminated for the determined neighboring data. The second and subsequent thundercloud determinations are not performed for the already determined area. This is repeated to determine the final current thundercloud range. FIG. 13 shows an example of the determined current thundercloud range.

The case data extractor 26 for comparing the thundercloud shape based on the position and the time uses the position and the time designated as the search condition to extract the past weather data.
The data to be compared with the shape of the thundercloud is extracted, and the extracted data is used as the thundercloud shape comparison target case data. FIG. 14 shows an example of extraction. FIG. 14 shows that the position specified as the search condition is (x0, y0),
If the specified time is February 1, 1999,
This is an example in which the range of the three coordinates before and after and the range of three months before and after February 1 are extracted as the target case data to be compared with the thundercloud shape. Note that the position to be extracted and the range of time are given in advance.

The neighborhood data searcher 27 for the case data inputs the thundercloud shape comparison case data and the past weather data, and, based on these inputs, an area designated as the thundercloud shape comparison case data, And a lightning determination element in an area closest to the designated area
(Hereinafter referred to as nearby lightning determination elements). The method of extraction is exactly the same as that in the neighborhood data searcher 24 of the current data, if the search condition is replaced with the case data of the thundercloud shape comparison target and the current lightning judgment element is replaced with the past weather data. It is. The extracted nearby lightning determination elements are output together with the past weather data.

The case data and neighborhood data comparator 28 inputs the neighborhood lightning determination element, the thundercloud shape comparison target case data, and the past weather data, and inputs the neighborhood lightning determination element and the thundercloud. The shape comparison target case data is compared. The method of comparison is the same as that of the current data and neighboring data comparator 25.

The case data thundercloud determiner 22A inputs the comparison result of the lightning judgment element, the thundercloud shape comparison target case data, and the past weather data, and determines the thundercloud range of the case based on these. I do. The method of determination is the same as that of the thundercloud determiner 19A for the current data. FIG. 15 shows an example of the thundercloud range of the confirmed case data.

The thundercloud shape ratio calculator 29 receives the current thundercloud shape vector and the thundercloud shape vector of the case data, and calculates the ratio between the current thundercloud shape vector and the thundercloud shape vector of the case data to the thundercloud shape. For example, as a ratio
It is calculated as in equation (6).

[0077]

(Equation 6)

[0078] However, Rv is the ratio of the thundercloud vector, l ₀ the portrait of the current thundercloud shape vector, l ₁ is portrait of a thundercloud shape vector of the case data, w ₀ is the landscape of the current thundercloud shape vector, w ₁ is a landscape of a thundercloud shape vector of the case data.

For example, in FIGS. 13 and 15, since the current thundercloud shape vector and the thundercloud shape vector of the case data are given as shown in FIG. 16, the ratio of the thundercloud shape is 0.48. Then, calculate the calculated thundercloud shape ratio,
The thundercloud shape is used as a comparison result.

The operations after the thundercloud shape consideration similarity calculation data selector 6 are basically the same as those of the above embodiment, depending on whether the comparison result of the appearance of the thundercloud in consideration of the shape is a shape difference or a difference in shape ratio. The same is true.

As described above, the lightning prediction support apparatus of this embodiment has the following effects. By searching past weather cases similar to the current weather situation taking into account the shape that indicates the physical spread of thunderclouds and using it for prediction,
Lightning prediction prediction can be performed with higher accuracy than before. It is possible to search for past weather cases similar to the current weather conditions while considering the range of the thundercloud. It is possible to quickly search for past weather cases similar to the current weather situation. By considering the ratio of the current thundercloud to the past thundercloud shape vector, past weather cases similar to the current weather situation can be searched. It is possible to search past weather cases that occurred at almost the same time as the current weather situation.

Embodiment 3 FIG. 17 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention. In FIG. 17, the current thundercloud range determiner 12 includes a nearby data searcher 24 for current data, a missing data complementer 30 for current data, and a current thundercloud determiner 31 using complementary data.
It is composed of Further, the thundercloud shape comparison target case data extractor 14 includes an all-case thundercloud shape comparison target case data extractor 32. The case data thundercloud range determiner 15 is provided with a case data neighborhood data searcher 27.
, A missing data complementer 33 for the case data, and a thundercloud determiner 34 for the complemented data use case data.

Next, the operation will be described. The missing data compensator 30 of the current situation data includes a lightning determination element in the vicinity,
The search condition and the current lightning judgment element are input, and based on these, the lightning judgment element value of an area where no lightning judgment element of the same case exists (this is called a missing area) is, for example, ( 7) Complement using the formula.

[0084]

(Equation 7)

Here, vi is the value of the lightning judgment element to be complemented,
d₀Is the distance from the search condition to the area to be complemented, d₁Is near
The distance from the area of the lightning judgment element of
Release, vi ₀Is the value of the lightning element in the search condition, vi₁Is near
This is the value of the nearby lightning determination element.

As shown in FIG. 18, when it is assumed that an area where a lightning risk exists and neighboring data are given,
FIG. 19 shows an example of complementing the lightning risk. In FIG. 19, for example, the coordinates given as the search condition are (x0, y
0), it is assumed that the lightning risk at this position is 90. At this time, the regions where the lightning determination element is obtained at the position closest to the search condition are (x0 + 1, y0 + 2) and (x0-1, y0-2). It is also assumed that the lightning risk at each position is 70, 30. During this time, for example, (x0, y0 + 1), (x0-1, y0)
Are positions where no lightning determination element has been obtained. Here, the distance D between the regions (xC, yC) and (xd, yd) is defined as in equation (8) using a first-order norm.

[0087]

(Equation 8)

At this time, the area specified as the search condition
The distance from (x0, y0) to (x0, y0 + 1), (x0-1, y0) is one unit. On the other hand, (x0 + 1, y0 + 2) and (x0-1, y0-2) from the area where the lightning
The distances to 0, y0 + 1) and (x0-1, y0) are both two units. As a result, when the lightning risk at each position is obtained by using the equation (7), (x0, y0 + 1) becomes the lightning risk 83,
(x0-1, y0) has a lightning risk of 70. The data complemented in this way is output to the supplementary data use current thundercloud determiner 31 along with the search condition and the current lightning determination element as a complement result.

The current-use thundercloud determiner 31 uses the complemented result, the search condition, and the current lightning determination element, and determines the current thundercloud range based on these. The determination is made using, for example, whether or not the missing data exceeds a preset lightning risk level. This criterion is given in advance.
In FIG. 19, it is assumed that a criterion for determining that a region having a lightning risk of 70 or more is a thundercloud is used. At this time, as a result of interpolation, the areas (x0, y0), (x0 + 1, y0), (x0, y0 + 1), (x0 +
1, y0 + 1), (x0, y0 + 2), (x0 + 1, y0 + 2), (x0-1, y0), (x
(0, y0-1) are all determined to be thunderclouds, while (x0-
FIG. 20 illustrates an example in which it is determined that (1, y0-1), (x0-1, y0-2), and (x0-2, y0) are not thunderclouds. If it is determined that a thundercloud is present, the determined position is output to the neighborhood data searcher 24 of the current data, and the neighborhood data is searched for in the same manner as described above. If it is not determined that the cloud is a thundercloud, the search is terminated for the determined neighboring data. The second and subsequent thundercloud determinations are not performed for the already determined area. This is repeated to determine the final current thundercloud range. FIG. 21 shows an example of the final current thundercloud range.

The all-case thundercloud shape comparison case data extractor 32 sets all past weather data as thundercloud shape comparison case data regardless of the position and time designated as the search condition. The thundercloud shape comparison target case data is output to the thundercloud range determiner 15 of the case data together with the past weather data.

The missing data complementer 33 for the case data inputs the nearby lightning judgment element, the case data for the thundercloud shape comparison, and the past weather data. Complement the lightning judgment element value of the area. The complementing method is exactly the same operation as that in the missing data complementer 29 of the present status data, if the search condition is replaced with the thundercloud shape comparison target case data and the current lightning judgment element is replaced with the weather data. is there. The supplemented data is output to the supplementary data use case data thundercloud determiner 34 together with the thundercloud shape comparison target case data and the past weather data as a complementation result.

Complementary Data Use Case Data Thundercloud Judgment Unit 34
Inputs the supplementary result, the thundercloud shape comparison target case data, and the current lightning determination element, and determines the thundercloud range of each thundercloud shape comparison target case data based on these. The determination method is based on the current thundercloud determiner 30 using the complementary data.
Is the same as The determined thundercloud range of the thundercloud shape comparison target case data is output to the case data thundercloud shape calculator 16 as the thundercloud range of the case data. FIG. 22 shows an example of the thundercloud range of the case data. In FIGS. 21 and 22, the current thundercloud shape vector and the thundercloud shape vector of the case data are given as shown in FIG. 23. Therefore, when the thundercloud shape ratio calculator 29 calculates the ratio of the thundercloud shape, it is 1.0.
Becomes

The operations after the thundercloud shape consideration similarity calculation data selector 6 are basically the same as those in the above embodiment.

As described above, the lightning prediction support apparatus according to the present embodiment has the following effects. By searching past weather cases similar to the current weather situation taking into account the shape that indicates the physical spread of thunderclouds and using it for prediction,
Lightning prediction prediction can be performed with higher accuracy than before. It is possible to search for past weather cases similar to the current weather conditions while considering the range of the thundercloud. Many past weather cases similar to the current weather situation can be searched. By considering the ratio of the current thundercloud to the past thundercloud shape vector, past weather cases similar to the current weather situation can be searched. Many past weather cases similar to the current weather situation can be searched.

The thundercloud shape difference determiner 17 uses the thundercloud shape difference calculator 23 in the first embodiment, and uses the thundercloud shape ratio calculator 29 in the second and third embodiments. Instead, any of the thundercloud shape difference calculator and the thundercloud shape ratio calculator can be used in any of the embodiments. Further, regarding the thundercloud shape comparison target case data extractor 14, the thundercloud shape comparison target case data extractor 20 according to the position in the first embodiment, the thundercloud shape comparison target case data extractor 25 according to the position and time in the second embodiment, In the third embodiment, the all case thundercloud shape comparison target case data extractor 32 is used. However, the present invention is not limited to this, and any thundercloud shape comparison target case data extractor is used in any embodiment. be able to.

Embodiment 4 FIG. 24 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention. In FIG. 24, 35 is a similarity calculation target data selector, 36 is a similarity calculator, and 37 is a thundercloud shape consideration similarity corrector. The shape-considered thundercloud comparator 5 is composed of a thundercloud comparator 38 for data with a current thundercloud and similarity. In addition, a thundercloud comparator 38 of data with the current thundercloud and similarity
Is a current thundercloud range determiner 12 and a current thundercloud shape calculator 1
3, a thundercloud range determining unit 40 for similarity-attached data, a thundercloud shape calculator 41 for similarity-attached data, and a thundercloud shape difference determiner 17A. The current thundercloud range determiner 12 includes an adjacent data searcher 18 for current data and a thundercloud determiner 19 for current data.
It consists of. In addition, data selection device 3 with similarity
Reference numeral 9 denotes a data selection unit 42 based on similarity. Further, the data selective unit 42 based on similarity is constituted by a data selective unit 43 having a certain degree of similarity or higher. The thundercloud range determiner 40 for similarity-attached data includes an adjacent data searcher 44 for similarity-attached data and a thundercloud determiner 45 for similarity-attached data. The thundercloud shape difference determiner 17A includes a thundercloud shape difference calculator 23A.

Next, the operation will be described. The similarity calculation target data selector 35 inputs the search condition, the current lightning determination element, and past weather data stored in the weather case data file 4, and inputs the past weather data based on the search condition. Extract the data for which the similarity should be calculated from among the data, and use it as the similarity calculation target data.
The information is output together with the current lightning determination element and the search condition. The similarity calculator 36 calculates the similarity between the similarity calculation target data and the lightning determination element data for each similarity calculation target data, and creates case data with similarity. These are known as described in the prior art.

Thundercloud comparator 3 for data with current thundercloud and similarity
8, inputting the search condition, the current lightning determination element, and the case data with similarity as the past weather data, calculating the state of thundercloud in the case data with similarity, Compare with the appearance of the thundercloud at. Further, the comparison result is used as a comparison result of the state of the thundercloud in consideration of the thundercloud shape.
Output to Hereinafter, the detailed operation of the current thundercloud and the thundercloud comparator 38 of the case data will be described.

The similarity-added data selecting unit 39 inputs the similarity-added case data created by the similarity calculator 36 as past weather data, and based on these inputs,
The target data to be compared with the shape of the thundercloud is extracted, and the extracted data is output to the thundercloud range determiner 40 of the data with similarity together with the past weather data as the data with similarity for thundercloud shape comparison. In FIG. 24, a data selection unit 42 based on similarity is used.

The similarity-based data selection unit 42 extracts data based on the similarity assigned to the case data based on the case data with similarity input as the past weather data. In FIG. 24, the data selection unit 43 is constituted by a data selection unit 43 having a certain degree of similarity or higher.

Based on the case data with similarity input as the past weather data, the data selecting unit 43, based on the past case data with similarity, obtains the predetermined degree of similarity given to the case data with similarity in advance. In the above case, this is extracted as thundercloud shape comparison similarity-attached data. FIG. 25 shows an example of extraction. In FIG. 25, it is assumed that the similarity given in advance is 0.7. At this time, for example, case data with similarity (1) and case data with similarity (2)
Is extracted as thundercloud shape comparison target similarity-attached data because the similarity is equal to or greater than a certain value. On the other hand, since the case data with similarity (N) does not reach a certain value, it is not extracted as the data with similarity for thundercloud shape comparison.

The thundercloud range determiner 40 for the data with similarity is
The thundercloud shape comparison target similarity-attached data and the past weather data are input, and based on these inputs, the similarity of how much the thundercloud has spread from the position given by the thundercloud shape comparison similarity-attached data. Determine the thundercloud range of the graded data. Further, the thundercloud range of the data with similarity is output to the thundercloud shape calculator 41 of the data with similarity. In FIG. 24, it is configured by an adjacent data searcher 44 for data with similarity and a thundercloud determiner 45 for data with similarity.

Neighboring data searcher 44 for data with similarity
The thundercloud shape comparison target similarity-attached data and the past weather data are input, and based on these inputs, the area specified as the thundercloud shape comparison target similarity-attached data, and the specified area The lightning determination element of the adjacent area is extracted from the case database 4. The method of extraction is as follows:
If the thundercloud shape comparison target case data is replaced with the thundercloud shape comparison target similarity-attached data, the operation is exactly the same. The extracted lightning determination element of the adjacent area is output to the thundercloud determiner 22 of the data with similarity together with the thundercloud shape comparison target similarity data and the past weather data as the adjacent lightning determination element. .

The thundercloud determination unit 45 for the data with similarity is input with the adjacent lightning determination element, the data with similarity for comparison of the thundercloud shape, and the past weather data, and based on the adjacent lightning determination element. It is determined whether the adjacent area is a thundercloud. The determination method is exactly the same as that of the case data thundercloud determination unit 22 if the thundercloud shape comparison target case data is replaced with the thundercloud shape comparison target similarity-attached data. As in the case of the thundercloud determiner 22 of the case data, when it is determined that the cloud is a thundercloud, the determined position is output to the adjacent data searcher 44 of the data with similarity, and the adjacent data is determined in the same manner as above. Explore. If it is not determined to be a thundercloud, the search for adjacent data is terminated. This is repeated to determine the final thundercloud range of the thundercloud shape comparison target similarity data (hereinafter referred to as the thundercloud range of the similarity data). FIG. 26 shows an example of the thundercloud range of the data with similarity finally determined. In this case, the thundercloud shape comparison target similarity-attached data and its surrounding 9 areas,
In addition, ten regions are the thundercloud range of the data with similarity. The thundercloud range of the data with similarity is output to the thundercloud shape calculator 41 of the data with similarity.

The thundercloud shape calculator 41 for the data with similarity is
The thundercloud range of the thundercloud shape comparison target similarity-attached data is input, and based on this, the thundercloud shape of the thundercloud shape comparison target similarity-attached data is calculated. The calculation example is the same as that in which the thundercloud shape calculator 16 of the case data replaces the thundercloud range of the thundercloud shape comparison target case data with the thundercloud range of the thundercloud shape comparison similarity-attached data. The calculated thundercloud shape of the thundercloud shape comparison target similarity-attached data is output to the thundercloud shape difference determiner 17A.

The current thundercloud range determiner 12, the current thundercloud shape calculator 13, the adjacent data searcher 18 for current data,
The thundercloud determiner 19 of the current state data operates exactly the same as in the first embodiment, and a description thereof will be omitted.

The thundercloud shape difference determiner 17A inputs the current thundercloud shape and the thundercloud shape of the data with similarity,
The current thundercloud shape is quantitatively compared with the thundercloud shape of the data with similarity. Further, the comparison result is output to the thundercloud shape consideration similarity calculation data selector 6 as a comparison result of the state of the thundercloud in consideration of the shape. The operations of the thundercloud shape difference determiner 17 in FIG. 1 and the thundercloud shape difference determiner 17A in FIG. FIG.
4 includes a thundercloud shape difference calculator 23A.

The thundercloud shape difference calculator 23A inputs the current thundercloud shape and the thundercloud shape of the data with similarity, and calculates the difference between the current thundercloud shape and the thundercloud shape of the data with similarity. The calculation method is the same as that in the thundercloud shape difference calculator 23 in the first embodiment, except that the thundercloud shape of the case data is replaced with the thundercloud shape of the data with similarity. The operation of the thundercloud shape difference calculator 23 in FIG. 1 is the same as that of the thundercloud shape difference calculator 23 shown in FIG.

The thundercloud shape similarity corrector 37 receives the comparison result of the shape of the thundercloud in consideration of the shape, the search condition, the current lightning judgment element, and the past weather data. The similarity of the case data with similarity calculated as past weather data is corrected based on the comparison result of the state of the thundercloud in consideration of the shape. The similarity is corrected using, for example, equation (9). The corrected similarity is output to the search result creator 8A together with the selected past weather data as corrected past weather data.

[0110]

(Equation 9)

Here, R2 is the recalculated similarity, R2 '
Is the value of the similarity assigned to the data with similarity, Rcom is the result of comparison of the thundercloud in consideration of the shape, and C2 is a constant.

The search result creator 8A performs a process based on the corrected similarity and the past weather data to create a search result. The creation method is almost the same as the method shown in the prior art, except that the similarity before correction and the similarity after correction are both displayed, and the search results are displayed in the order of similarity after correction or in the order of similarity before correction. Shall be created. FIG. 27 shows an example of the search result. For example, in case C (1), the similarity before correction is 95%, but the similarity after correction is 80%.
On the other hand, in the case C (2) after the correction, the similarity before the correction is 90%, but the similarity after the correction is 85%. As described above, when the order of the similarity between the cases before and after the modification is different, the search result is created in the order of the similarity after the modification or in the order of the similarity before the modification.

As described above, the lightning prediction support apparatus of this embodiment has the following effects. By searching past weather cases similar to the current weather situation taking into account the shape that indicates the physical spread of thunderclouds and using it for prediction,
It is possible to provide more accurate lightning prediction prediction than before. By using both the case where the thundercloud shape is considered and the case where it is not used in the prediction while searching, it is possible to more accurately support lightning prediction than before. By comparing only the case where the similarity is calculated in consideration of the thundercloud, it is possible to more accurately support the prediction of the lightning emission than in the related art. With respect to the case where the degree of similarity is calculated, a necessary case can be selected while considering the range of the thundercloud, and the prediction of lightning can be supported. Accurately determine the range of the thundercloud, select the required case, and search for past weather cases similar to the current weather condition, and use it for prediction while considering the shape that indicates the physical spread of the thundercloud As a result, it is possible to perform lightning prediction prediction with higher accuracy than before. Considering the difference in the spread of past thunderclouds from the current thunderclouds, the selected past weather cases are selected and used for prediction, providing more accurate lightning prediction support than before. it can. By comparing, examining and selecting past weather data to which thundercloud shapes are to be compared to some extent, accurate prediction support of lightning can be performed. By comparing, examining and selecting thundercloud shapes only for past weather cases that are somewhat similar to the current situation, accurate prediction support of lightning can be performed.

Embodiment 5 FIG. FIG. 28 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention. In FIG. 28, the data selection unit 42 based on similarity
Is constituted by a high similarity order data selective unit 46. The thundercloud range determiner 40 for similarity-attached data includes a proximity data searcher 47 for similarity-attached data, a similarity-attached data and proximity data comparator 48, and a thundercloud determiner 45A for similarity-attached data. ing. The thundercloud shape difference determining unit 17A includes a thundercloud shape difference calculator 29A.

Next, the operation will be described. Based on the case data with similarity input as the past weather data, the high-similarity order data fine-selecting unit 46 performs a predetermined number given in advance in the order of similarity given to the case data with similarity in high order. Is extracted as thundercloud shape comparison target similarity-attached data. FIG. 29 shows an example of extraction. In FIG. 29, it is assumed that the predetermined number given in advance is N, and the case data with similarity are arranged in order of similarity. At this time, C (1) to C (N) are extracted as thundercloud shape comparison similarity-attached data regardless of the value of the similarity. On the other hand, C
The case data with similarity of (N + 1) or less is not extracted.

Neighbor data searcher 47 for data with similarity
Receives the thundercloud shape comparison target similarity-attached data and the past weather data, and, based on these inputs, the region specified as the thundercloud shape comparison target case data, and the region closest to the specified region. A lightning determination element (hereinafter, referred to as a nearby lightning determination element) of the region that has been set is extracted from the case database 4. The method of extraction is exactly the same as that of the case data neighborhood searcher when the thundercloud shape comparison target case data is replaced with the thundercloud shape comparison target similarity-attached data. The extracted nearby lightning determination elements are output together with the past weather data.

Data with similarity and neighborhood data comparator 48
Is inputted with the nearby lightning determination element, the data with the similarity of the thundercloud shape comparison target, and the past weather data, and compares the nearby lightning determination element with the data with the similarity of the thundercloud shape comparison target. I do. The comparison method is the same as that of the case data and the neighborhood data comparator 28.

The thundercloud determination unit 45A for the data with similarity is inputted with the comparison result of the lightning determination element, the data with similarity for the thundercloud shape comparison, and the past weather data. The thundercloud range of the attached data is determined. The determination method is the same as that of the case data thundercloud determiner 22A. FIG. 30 shows an example of the thundercloud range of the confirmed case data
Shown in

Further, the proximity data searcher 24 for the current data is used.
The current state data and neighborhood data comparator 25 and the current state data thundercloud determiner 19A differ only in the comparison between the current state thundercloud and the case data or the data with similarity. The same is true.

The thundercloud shape ratio calculator 29 inputs the current thundercloud shape and the thundercloud shape of the data with similarity, and calculates the ratio between the current thundercloud shape and the thundercloud shape of the case data, for example, as described in (6) above. ) Is calculated as shown in the equation. The calculated thundercloud shape ratio is used as a comparison result of the thundercloud shape.

The operation after the thundercloud shape similarity calculation similarity corrector 6 and thereafter is basically performed according to the third embodiment, depending on whether the comparison result of the state of the thundercloud considering the shape is a shape difference or a shape ratio difference. Is the same as

As described above, the lightning prediction support apparatus of this embodiment has the following effects. By searching past weather cases similar to the current weather situation taking into account the shape that indicates the physical spread of thunderclouds and using it for prediction,
It is possible to provide more accurate lightning prediction prediction than before. By using both the case where the thundercloud shape is considered and the case where it is not used in the prediction while searching, it is possible to more accurately support lightning prediction than before. By comparing only the case where the similarity is calculated in consideration of the thundercloud, it is possible to more accurately support the prediction of the lightning emission than in the related art. With respect to the case where the degree of similarity is calculated, a necessary case can be selected while considering the range of the thundercloud, and the prediction of lightning can be supported. Since past weather cases similar to the current weather situation can be quickly selected, a search that takes into account the shape that indicates the physical spread of the thundercloud and uses it for prediction can provide a more accurate generation than before. Can support lightning prediction. Considering the ratio of the shape of the current thundercloud to the shape of the past thundercloud, the selected past weather cases are selected and used for prediction, so that it is possible to provide more accurate lightning prediction support than before. it can. By comparing, examining and selecting past weather data to which thundercloud shapes are to be compared to some extent, accurate prediction support of lightning can be performed. By limiting the number of past weather cases that are similar to the current situation, it is possible to quickly compare, examine, and select the shape of thunderclouds, and provide accurate prediction support for lightning strikes.

Embodiment 6 FIG. FIG. 31 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention. In FIG. 31, the data selecting device with similarity 39 is constituted by a data selecting device with similarity 49. Further, the thundercloud range determiner 40 for the data with similarity includes a proximity data searcher 47 for data with similarity, a missing data complementer 50 for data with similarity, and a data thundercloud determiner 51 with complementary data. It consists of.

Next, the operation will be described. The similarity-attached data all selector 49 inputs the past weather data, and extracts all of the inputted past weather data as thundercloud shape comparison target similarity-attached data. The extracted thundercloud shape comparison target similarity-attached data is output to the thundercloud range determiner 40 of the similarity-attached data.

Missing data complementer 50 for data with similarity
The lightning determination element in the vicinity, the thundercloud shape comparison target similarity data, and the past weather data are input, and based on these, the lightning determination element value of the missing area in each similarity data is input. Complement. The complementing method is exactly the same as that of the case data missing data complementer 33 when the thundercloud shape comparison target case data is replaced with the thundercloud shape comparison target similarity-attached data. The complemented data is output to the data thundercloud determination device 51 with the similarity using supplementary data, together with the thundercloud shape comparison target similarity data and the past weather data as a complementation result.

The supplementary data use similarity-attached data thundercloud determination unit 51 inputs the complementing result, the thundercloud shape comparison similarity-attached data, and the current lightning judgment element, and based on these, calculates each thundercloud shape. The thundercloud range of the data with similarity to be compared is determined. The determination method is the same as that of the complementary data use case thundercloud determination unit 34. The determined thundercloud range of the thundercloud shape comparison target similarity-attached data is output to the similarity-attached data thundercloud shape calculator 41 as the thundercloud range of the similarity-attached data. FIG. 32 shows an example of the thundercloud range of the case data. In FIG. 21, when the current thundercloud shape calculator 13 calculates the vertical length of the current thundercloud, it becomes 4 units, and when the horizontal length is calculated, it becomes 4 units. On the other hand, in FIG. 32, when the vertical length of the data with similarity is calculated by the thundercloud shape calculator 17 of the data with similarity, the unit is 5 and when the horizontal length is calculated, it is 5. Therefore, the thundercloud in consideration of the shape by the thundercloud shape ratio calculator 29A. Is calculated to be 0.8. This is basically the same operation as the case where the calculation is performed by the thundercloud shape ratio calculator 29 according to the third embodiment, except that the input becomes the data with similarity from the case data.

The operations after the thundercloud shape consideration similarity corrector 37 are basically the same as those in the above embodiment.

As described above, according to the lightning prediction support apparatus of this embodiment, the following effects are obtained. By searching past weather cases similar to the current weather situation taking into account the shape that indicates the physical spread of thunderclouds and using it for prediction,
It is possible to provide more accurate lightning prediction prediction than before. By using both the case where the thundercloud shape is considered and the case where it is not used in the prediction while searching, it is possible to more accurately support lightning prediction than before. By comparing only the case where the similarity is calculated in consideration of the thundercloud, it is possible to more accurately support the prediction of the lightning emission than in the related art. With respect to the case where the degree of similarity is calculated, a necessary case can be selected while considering the range of the thundercloud, and the prediction of lightning can be supported. Even if the weather case is not enough, it is possible to accurately select the past weather case similar to the current weather situation, so by considering the shape showing the physical spread of the thundercloud and using it for prediction, It is possible to perform lightning prediction prediction with higher accuracy than before. Considering the ratio of the shape of the current thundercloud to the shape of the past thundercloud, the selected past weather cases are selected and used for prediction, so that it is possible to provide more accurate lightning prediction support than before. it can.
By extracting all searched weather data as target data for comparing the shape of the thundercloud, it compares and examines many past weather cases similar to the current weather situation, and provides accurate prediction support for lightning strikes be able to.

The thundercloud shape difference determiner 17A
The fourth embodiment uses the thundercloud shape difference calculator 23A, and the fifth and sixth embodiments use the thundercloud shape ratio calculator 28A.
However, the present invention is not limited to this, and any of the thundercloud shape difference calculator and the thundercloud shape ratio calculator can be used in any of the embodiments. Further, regarding the data selection device 39 with similarity, the data selection device 43 having a certain degree of similarity or more in the fourth embodiment, the data selection device 46 with high similarity in the fifth embodiment, and the data selection device with the similarity in the sixth embodiment. Although the device 49 is used, the present invention is not limited to this, and any data selection device with similarity can be used in any embodiment.

[0130]

As described above, according to the present invention, the state of the thundercloud under the search condition and the past weather data including the search condition, the current lightning judgment element and the past lightning judgment element including the lightning judgment element are used. The state of the thundercloud is compared in consideration of the shape of the thundercloud, and a shape-considered thundercloud comparator is provided for obtaining a comparison result of the state of the thundercloud in consideration of the shape, and past weather data selected based on the comparison result, A lightning prediction support device which calculates a similarity in consideration of a shape of a thundercloud from search conditions and a current lightning judgment element, and obtains a search result including selected past weather data and a similarity thereto. Therefore, by searching past weather cases similar to the current weather situation while taking into account the shape of the physical spread of thunderclouds and using them for prediction, more accurate prediction support for lightning strikes than before To Effects such as may Ukoto is obtained.

A weather condition data file for storing the current lightning judgment element calculated based on the observation result of the current lightning situation and a weather image data file for storing the image data of the risk of lightning. The image data of the current lightning determination element and the risk information of the lightning are input, and the search target for the position of the thundercloud and the search target for time are calculated as search conditions, and output together with the current lightning determination element. A search condition determiner, a weather case data file storing past weather data, the search condition, the current lightning judgment element, and the past weather data are input, and a state of a thunder cloud in the search condition is input. And the state of the thundercloud in the past weather data is compared in consideration of the shape of the thundercloud, and the shape-considered thundercloud ratio is output as a comparison result of the state of the thundercloud in consideration of the shape. And the comparison result of the state of the thundercloud in consideration of the shape, the search condition, the current lightning determination element, and the past weather data, and the comparison result of the state of the thundercloud in consideration of the shape Utilizing, the data is selected from the past weather data, the selected past weather data, the search condition, and the thundercloud shape consideration similarity calculation data selector that outputs the current lightning judgment element And the selected past weather data, the search condition, and the current lightning determination element are input, a similarity is calculated in consideration of the shape of the thundercloud, and the similarity is calculated based on the selected past lightning. A thundercloud shape-based similarity calculator that outputs together with the weather data, the similarity and the selected past weather data are input, a search result is created, and a search result creator that outputs the search result; The search results and the risk of lightning And a search result display device for displaying and outputting the search result, and a search result file storing the search result. By retrieving the past weather cases in consideration of the shape indicating the physical spread of the thundercloud and using it for prediction, it is possible to perform lightning prediction prediction with higher accuracy than before.

The search condition, the current lightning judgment element, and the past weather data are input to the shape-considered thundercloud comparator, and the appearance of the thundercloud in the past weather data is determined based on all the case data. Calculating and comparing with the state of the thundercloud in the search condition, since it is a lightning prediction support device equipped with a current thundercloud and case data thundercloud comparator, without calculating the similarity of unnecessary cases, the conventional Thus, it is possible to provide more accurate lightning prediction support.

Further, a current thundercloud range determiner for inputting the search condition and the current lightning judgment element to the current thundercloud and case data thundercloud comparator, calculating and outputting the current thundercloud range, A current thundercloud shape calculator that inputs the current thundercloud range, calculates and outputs a vector representing the current thundercloud shape,
The search condition and the past weather data are input, the target data to be compared with the thundercloud shape is extracted, and the thundercloud shape comparison target case data extractor that is output together with the past weather data as the thundercloud shape comparison target case data, The thundercloud shape comparison case data and the past weather data are input, and the thundercloud range determiner of the case data for calculating and outputting the thundercloud range of the thundercloud shape comparison case data, and the thundercloud shape comparison case data Input a thundercloud range, calculate a vector representing a thundercloud shape of the thundercloud shape comparison target case data, and output a thundercloud shape vector of the case data as a thundercloud shape calculator of the case data, the current thundercloud shape vector, and Input the thundercloud shape vector of the case data, determine the difference between the current thundercloud shape vector and the thundercloud shape vector of the case data, A thundercloud shape difference determiner that outputs the determination result as a comparison result of the state of the thundercloud in consideration of the shape, and a lightning prediction support device including a thundercloud shape difference determiner, the current thundercloud shape vector and the thundercloud shape vector of the case data By judging the difference and using the judgment result as the comparison result of the state of the thundercloud in consideration of the shape, it searches for past weather cases similar to the current weather situation while considering the range of the thundercloud, and more accuracy than before It is possible to provide good prediction support for lightning.

The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element adjacent to the data specified as the search condition is extracted. A lightning judgment element, the search condition, an adjacent data searcher for present data that is output together with the current lightning judgment element, the adjacent lightning judgment element, the search condition, and the current lightning judgment element And determining whether or not a thundercloud is from the adjacent lightning determination element, and a current state data thundercloud determiner that outputs the result of the determination as a current thundercloud range, and a thundercloud range determiner for the case data. The thundercloud shape comparison target case data and the past weather data are input, and data specified as the thundercloud shape comparison target case data and an adjacent lightning determination element are extracted, and the adjacent lightning determination element is And serial thundercloud shape comparison case data,
The adjacent data searcher for the case data to be output together with the past case data, the adjacent lightning determination element, the thundercloud shape comparison target case data, and the past case data are input, and from the adjacent lightning determination element Determining whether or not adjacent data of the case data is a thundercloud, and a case data thundercloud determiner that outputs the determination result as a thundercloud range of the case data for the thundercloud shape comparison target data, Because it is possible to accurately determine the range of thunderclouds and search past weather cases similar to the current weather situation, it is possible to search and consider the shape showing the physical spread of thunderclouds and use it for prediction, Thus, it is possible to provide more accurate lightning prediction support.

The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near the data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, the current lightning judgment element is compared with the nearby lightning judgment element, and a comparison result of the lightning judgment element is output together with the search condition and the current lightning judgment element. The data and the neighboring data comparator, the comparison result of the lightning determination element, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is determined as the current thundercloud range. Thundercloud of current status data output as And a constant value, the thundercloud range determiner of the case data, the thundercloud shape comparison target case data, and input the past case data, near the data specified as the thundercloud shape comparison target case data Extracting a lightning judgment element, the nearby lightning judgment element, the thundercloud shape comparison target case data, a case data neighborhood data searcher that outputs together with the past case data, and the vicinity lightning judgment element And, the thundercloud shape comparison target case data and the past case data are input, and the thundercloud shape comparison target case data is compared with the nearby lightning determination element,
The comparison result of the lightning determination element, the thundercloud shape comparison target case data, the case data and the neighborhood data comparator that are output together with the past case data, the comparison result of the lightning determination element, and the thundercloud shape comparison target Case data and the past case data are input, the thundercloud range in the case is determined, and the result of the determination is output as the case's thundercloud range. Because it is possible to quickly search past weather cases similar to the current weather situation, it is possible to search for and consider the shape that indicates the physical spread of thunderclouds and use it for prediction, which makes it more accurate than before. Good lightning prediction support can be provided.

The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near the data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, and missing data between the current lightning judgment element and the nearby lightning judgment element is complemented, and the complement result is output together with the search condition and the current lightning judgment element. A missing data compensator, the complementation result, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is output as the current thundercloud range. Data usage status The thundercloud range determiner of the case data, the thundercloud shape comparison target case data and the past case data are input, and a lightning determination element near data specified as the thundercloud shape comparison target data The vicinity lightning determination element, the vicinity data searcher of the case data to be output together with the thundercloud shape comparison case data and the past case data, the nearby lightning determination element, and the thundercloud Shape comparison target case data, input the past case data, complement the missing data between the thundercloud shape comparison target case data and the nearby lightning determination element,
The complemented result, the past case data, the missing data complementer of the case data which is output together with the thundercloud shape comparison target case data, the complementation result, the thundercloud shape comparison target case data, and the past case data Input, and the thundercloud range in the case is determined, and the result of the determination is output as the thundercloud range of the case data. Even if it is not, a large number of past weather cases similar to the current weather situation can be searched, so by taking into account the shape showing the physical spread of the thundercloud and using it for prediction, more accurate than before Good lightning prediction support can be provided.

Also, the current thundercloud shape vector and the thundercloud shape vector of the case data are input to the thundercloud shape difference determiner, and the difference between the current thundercloud shape vector and the thundercloud shape vector of the case data is calculated. Since the thundercloud shape vector is a difference between the current thundercloud shape and the thundercloud shape difference calculator of the case data, the thundercloud shape difference calculator is provided. By taking into account the shape of past thunderclouds and searching for past weather cases that are extremely similar to the current weather conditions and using them for prediction, it is possible to provide more accurate lightning prediction support than before. it can.

Also, the current thundercloud shape vector and the thundercloud shape vector of the case data are input to the thundercloud shape difference determiner, and the ratio of the current thundercloud shape vector to the thundercloud shape vector of the case data is calculated. Since the thundercloud shape vector has a ratio of the current thundercloud shape and the thundercloud shape ratio calculator that outputs the ratio of the difference between the thundercloud shape of the case data and the current thundercloud shape, the current thundercloud To provide a more accurate prediction of lightning than previous models by searching for past cases similar to the current weather conditions and using them for prediction, taking into account the ratio of the thundercloud shape vector of the shape to the case data Can be.

The search condition and the past weather data are input to the thundercloud shape comparison target case data extractor, and target data to be compared with the thundercloud shape is extracted based on the past weather data position. A lightning prediction support system equipped with a location-based thundercloud shape comparison case data extractor that outputs the thundercloud shape comparison target case data along with past weather data. By extracting the target data to be used and using it as the case data for the thundercloud shape comparison, past weather cases similar to the current weather condition can be accurately and quickly searched, and accurate lightning prediction support can be performed.

The search condition and the past weather data are input to the thundercloud shape comparison target case data extractor, and the target data to be compared with the thundercloud shape is extracted based on the past weather data position and time. Then, as a lightning prediction support device equipped with a position and time based thundercloud shape comparison target case data extractor that outputs as thundercloud shape comparison target case data along with past weather data, it is based on the past weather data position and time. By extracting the target data for which the thundercloud shape is to be compared and using it as the thundercloud shape comparison case data, it is possible to search past weather cases that occurred at almost the same time as the current weather conditions, Predictive support can be provided.

The search condition and the past weather data are input to the thundercloud shape comparison case data extractor, all the past weather data are extracted, and this is used as the thundercloud shape comparison case data. A lightning prediction support system equipped with an all-case thundercloud shape comparison target case data extractor that outputs with all weather data, so all past weather data is extracted as target data for which thundercloud shapes are to be compared, and thundercloud shape comparison is performed. By using the target case data, a large number of past weather cases similar to the current weather situation can be searched, and accurate prediction support of lightning can be performed.

A weather condition data file storing the current lightning judgment element calculated based on the observation result of the current lightning situation, and a weather image data file storing the lightning risk image data are stored. The image data of the current lightning determination element and the risk information of the lightning are input, and the search target for the position of the thundercloud and the search target for the time are calculated as search conditions, and output together with the current lightning determination element. A search condition determiner, a weather case data file storing past weather data, the search condition, the current lightning determination element, and the past weather data are input,
The search condition is used to extract data from which the similarity is to be calculated from the past weather data, and the extracted data is used as the similarity calculation target data as the current lightning determination element, together with the search condition. A similarity calculation target data selector to be output, the similarity calculation target data, the current lightning determination element, and the search condition are input, and case data with similarity is calculated. The search conditions as past weather data, a similarity calculator that outputs the current lightning determination element together, the search conditions,
The current lightning judgment element and the past weather data are input, and the state of the thundercloud in the search condition and the state of the thundercloud in the past weather data are compared in consideration of the shape of the thundercloud, and the shape is considered. The shape-considered thundercloud comparator that outputs the result of comparison of the state of the generated thundercloud, the comparison result of the state of the thundercloud in consideration of the shape, the search condition, the current lightning determination element, and the past weather data. Is used, the similarity of the case data with similarity calculated as past weather data is corrected using the comparison result of the state of the thundercloud in consideration of the shape, and the corrected past weather data is output. A thundercloud shape similarity corrector, a corrected search result generator for inputting the corrected past weather data, generating and outputting a search result, and inputting the search result and the image data of the risk of lightning strike. , The search results A search result display unit for displaying output,
By using a search result file for storing the search results,
By using both the case where the thundercloud shape is considered and the case where it is not used in the prediction while searching, it is possible to more accurately support lightning prediction than before.

Further, the search condition, the present lightning judgment element, and the case data with similarity as the past weather data are input to the shape-considered thundercloud comparator. The state of the thundercloud is calculated and compared with the state of the thundercloud in the above search condition, and the current thundercloud and the thundercloud comparator of the data with the similarity are set as the thundercloud comparator. Thus, it is possible to perform lightning prediction support with higher accuracy than before.

Further, a current thundercloud range determiner for inputting the search condition and the past weather data to a thundercloud comparator of the current thundercloud and the data with similarity, calculating and outputting a current thundercloud range, The current thundercloud range is input, the current thundercloud shape calculator that calculates and outputs the current thundercloud shape, and the past weather data are input, and case data with similarity to be compared with the thundercloud shape are extracted, and the thundercloud shape is extracted. The data selector with similarity output together with the past weather data as the data with similarity to be compared, the thundercloud shape comparison similarity data and the past weather data are input, and the thundercloud shape comparison similarity is input. A thundercloud range determiner for data with similarity to calculate and output a thundercloud range for attached data, and a thundercloud range for the data with similarity for comparison with the thundercloud shape are inputted, and the thundercloud shape of the data with similarity for comparison with the thundercloud shape is input. Calculate and input the thundercloud shape calculator of the data with similarity to be output as the thundercloud shape of the data with similarity, the current thundercloud shape, and the thundercloud area of the data with similarity, and input the current thundercloud shape, A thundercloud shape difference determiner that determines the difference in the thundercloud shape of the data with similarity and outputs the determination result as a comparison result of the state of the thundercloud in consideration of the shape, so that the similarity is calculated. In addition, it is possible to select a necessary case while considering the range of the thundercloud, and to support the prediction of lightning.

The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element adjacent to the data specified as the search condition is extracted. A lightning judgment element, the search condition, an adjacent data searcher for present data that is output together with the current lightning judgment element, the adjacent lightning judgment element, the search condition, and the current lightning judgment element And determining whether or not a thundercloud is present from the adjacent lightning emission determination element, and a current condition data thundercloud determiner that outputs the determination result as a current thundercloud range, and determining the thundercloud range of the data with similarity. The data with the similarity of the thundercloud shape comparison target and the past weather data are input to the device, and the data designated as the data with the similarity of the thundercloud shape comparison target similarity and the adjacent lightning determination element are extracted. Lightning A constant element, the adjacent data searcher for the data with similarity to be compared with the thundercloud shape comparison target and the past weather data, the adjacent lightning determination element, and the Data and
The past weather data is input, and from the adjacent lightning emission determination element, it is determined whether or not the adjacent data of the past weather data is a thundercloud, and the result of the determination is a thundercloud range of the thundercloud shape comparison similarity-attached data. As the thundercloud judgment device of the data with similarity output as, the range of the thundercloud can be accurately determined, the necessary case can be selected, and past weather cases similar to the current weather situation can be searched. It is possible to perform more accurate lightning prediction prediction than in the past by using search and prediction while taking into account the shape showing the spatial spread.

The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near the data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, the current lightning judgment element is compared with the nearby lightning judgment element, and a comparison result of the lightning judgment element is output together with the search condition and the current lightning judgment element. The data and the neighboring data comparator, the comparison result of the lightning determination element, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is determined as the current thundercloud range. Thundercloud of current status data output as The thundercloud shape comparison target similarity data and the past weather data are input to the thundercloud range determination device for the similarity data, and designated as the thundercloud shape comparison target similarity data. Extract a lightning determination element in the vicinity of the data obtained, the lightning determination element in the vicinity,
The thundercloud shape comparison target similarity-attached data, the proximity data searcher of the similarity-attached data output together with the past weather data, the nearby lightning determination element, and the thundercloud shape comparison-targeted similarity-attached data, The past weather data is input, the thundercloud shape comparison target similarity-attached data is compared with the nearby lightning judgment element, and the comparison result of the lightning judgment element is compared with the thundercloud shape comparison target similarity-attached data. The data with similarity and the neighboring data comparator output together with the past weather data, the comparison result of the lightning determination element, the thundercloud shape comparison target similarity with data, and the past weather data, Determine the thundercloud range in the data with similarity,
A lightning prediction support device comprising: a thundercloud determiner for data with similarity that outputs the determination result as a range of thunderclouds for data with similarity. Therefore, it is possible to perform lightning prediction prediction with higher accuracy than in the past by searching and considering the shape indicating the physical spread of the thundercloud while using it for prediction.

The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near the data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, and missing data between the current lightning judgment element and the nearby lightning judgment element is complemented, and the complement result is output together with the search condition and the current lightning judgment element. A missing data compensator, the complementation result, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is output as the current thundercloud range. Data usage status The thundercloud range determiner of the data with similarity, the thundercloud shape comparison target similarity data, the past weather data is input, the data specified as the thundercloud state comparison target similarity data A nearby lightning judgment element is extracted, and the lightning judgment element in the vicinity is compared with the thundercloud shape comparison target similarity data and the similar data with similarity data that is output together with the past weather data. The nearby lightning judgment element, the data with the similarity of the thundercloud state comparison target, and the past weather data are input, and the missing data between the data with the similarity of the thundercloud shape comparison target and the nearby lightning judgment element. Complementing the complemented result, the past weather data, the missing data complementer of the data with similarity that is output together with the data with similarity to be compared with the thundercloud shape comparison, the complementing result, the thundercloud shape comparison Data with elephant similarity and the past weather data, determine the thundercloud range in the data with similarity, and output the determination result as the thundercloud range of the data with similarity. Judgment device, and a lightning prediction support device equipped with, since even if the weather case is not enough, it is possible to accurately select past weather cases similar to the current weather situation, By using the search and prediction in consideration of the shape showing the spread, it is possible to perform the prediction support of the lightning strike with higher accuracy than before.

Also, the current thundercloud shape and the thundercloud shape of the data with similarity are input to the thundercloud shape difference determiner, and the difference between the current thundercloud shape and the thundercloud shape of the data with similarity is calculated. Then, by providing the thundercloud shape difference with the current thundercloud shape, the thundercloud shape difference calculator provided with a thundercloud shape difference calculator that outputs the difference of the thundercloud shape difference of the data with similarity, the current thundercloud shape, Considering the difference in the spread of past thunderclouds, the selected past weather cases are selected and used for prediction, enabling more accurate lightning prediction support than before .

Also, the current thundercloud shape and the thundercloud shape of the data with similarity are input to the thundercloud shape difference determiner, and the ratio of the current thundercloud shape to the thundercloud shape of the data with similarity is calculated. The thundercloud shape ratio is calculated by using a thundercloud shape ratio calculator that outputs the ratio of the thundercloud shape as a comparison result of the difference between the current thundercloud shape and the thundercloud shape of the data with similarity. Considering the ratio of the shape of the thundercloud to the shape of the past thundercloud, the selected past weather cases are selected and used for prediction, so that it is possible to provide more accurate lightning prediction support than before .

Further, the search condition and the past weather data are input to the data selection device with similarity, and all the input past weather data are extracted as thundercloud shape comparison target similarity data. By using a lightning prediction support device including a similarity-equipped data all-selector that is output together with the past weather data, by extracting all searched weather data as target data to be compared with the thundercloud shape, By comparing and examining many past weather cases similar to the current weather situation, accurate prediction support of lightning strikes can be performed.

Further, the search condition and the past weather data are input to the data selection device with similarity, and the case data with similarity to be compared with the thundercloud shape is determined by the similarity in the case data with similarity. By extracting and supporting a thundercloud shape comparison target similarity data together with the past weather data and a lightning prediction support device including a data selection unit based on similarity that is output together with the past weather data, past weather data to be compared with thundercloud shapes can be obtained. It is possible to perform comparison, examination, and selection with some limitation, and to provide accurate prediction support for lightning.

Further, the data selection device based on the similarity is
Inputting the search condition and the past weather data, and selecting data having a similarity in the case data with similarity equal to or greater than a certain value as case data with similarity to be compared with the thundercloud shape. By using a lightning prediction support system equipped with a lightning device, comparison, examination, and selection of thundercloud shapes are limited to past weather cases that are somewhat similar to the current situation, and accurate prediction support for lightning It can be carried out.

Further, the data selection device based on the similarity is
A high-similarity ordered data selection unit that inputs the search condition and the past weather data and extracts the thundercloud shape as case data with similarity to be compared according to the order of similarity in the case data with similarity; By using a lightning prediction support device, the number of past weather cases that are similar to the current situation is limited, and thundercloud shapes can be compared, examined, and selected quickly to provide accurate lightning prediction support. It can be carried out.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a lightning prediction support apparatus according to an embodiment of the present invention.

FIG. 2 is a diagram for explaining the operation of a current data adjacent data searcher according to the present invention.

FIG. 3 is a diagram for explaining an operation of a current data thundercloud determiner in the present invention.

FIG. 4 is a diagram for explaining an operation of a current data thundercloud determiner according to the present invention.

FIG. 5 is a diagram showing a thundercloud shape vector according to the present invention.

FIG. 6 is a diagram for explaining the operation of a thundercloud shape comparison target case data extractor based on a position according to the present invention.

FIG. 7 is a diagram illustrating the operation of a case data thundercloud determiner according to the present invention.

FIG. 8 is a diagram showing a thundercloud shape vector according to the present invention.

FIG. 9 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention.

FIG. 10 is a diagram for explaining the operation of the neighborhood data searcher for current data according to the present invention.

FIG. 11 is a diagram for explaining the operation of a neighborhood data comparator of current data according to the present invention.

FIG. 12 is a diagram for explaining the operation of a current data thundercloud determiner according to the present invention.

FIG. 13 is a diagram for explaining the operation of the current data thundercloud determiner in the present invention.

FIG. 14 is a diagram for explaining the operation of the thundercloud shape comparison target case data extractor based on position and time according to the present invention.

FIG. 15 is a diagram for explaining the operation of the case data thundercloud determiner in the present invention.

FIG. 16 is a diagram showing a thundercloud shape vector according to the present invention.

FIG. 17 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention.

FIG. 18 is a diagram for explaining the operation of the missing data compensator for present status data according to the present invention.

FIG. 19 is a diagram for explaining the operation of the missing data compensator for present status data according to the present invention.

FIG. 20 is a diagram for explaining the operation of the present-use thundercloud determiner using complementary data in the present invention.

FIG. 21 is a diagram for explaining the operation of the present-use thundercloud determiner using complementary data in the present invention.

FIG. 22 is a diagram for explaining the operation of the supplementary data use case data thundercloud determiner in the present invention.

FIG. 23 is a diagram showing a thundercloud shape vector according to the present invention.

FIG. 24 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention.

FIG. 25 is a diagram for explaining the operation of the data selection device with a certain degree of similarity or higher in the present invention.

FIG. 26 is a diagram for explaining the operation of a thundercloud determiner for data with similarity according to the present invention.

FIG. 27 is a diagram for explaining the operation of the search result creator according to the present invention.

FIG. 28 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention.

FIG. 29 is a diagram for explaining the operation of the high-similarity-ordered data selection device according to the present invention.

FIG. 30 is a diagram for explaining the operation of a thundercloud determiner for data with similarity according to the present invention.

FIG. 31 is a block diagram showing a lightning prediction support apparatus according to another embodiment of the present invention.

FIG. 32 is a diagram for explaining the operation of a data thundercloud determiner with complementary data use similarity according to the present invention.

FIG. 33 is a block diagram showing a conventional lightning prediction support apparatus.

FIG. 34 is a diagram for explaining an operation in a weather status data file.

FIG. 35 is a diagram for explaining the operation of the search condition determiner.

FIG. 36 is a diagram for explaining the operation of the similarity calculation target data selector.

FIG. 37 is a diagram for explaining the operation of the search result generator.

FIG. 38 is a diagram for explaining the operation of the search result display.

[Explanation of symbols]

1 Meteorological situation data file, 2 Meteorological image data file, 3 Search condition determiner, 4 Meteorological case data file, 5 Shape-constrained thundercloud comparator, 6 Thundercloud shape-considerable similarity calculation data selector, 7 Thundercloud shape-considerable similarity calculator ,
8, 8A search result creator, 9 search result file, 1
0 Search result display, 11 Thundercloud comparator of current thundercloud and case data, 12 Thundercloud range determiner, 13 Thundercloud shape calculator, 14 Thundercloud shape comparison target case data extractor, 15 Thundercloud range determiner of case data, 16 Thundercloud shape calculator for case data, 17, 17A Thundercloud shape difference determiner, 18 Adjacent data searcher for current data, 19, 1
9A Thundercloud Judgment Unit for Current Data, Thundercloud Shape Comparison Case Data Extractor for 20 Positions, 21 Neighbor Data Search Unit for Case Data, 22, 22A Thundercloud Judgment Unit for Case Data, 23, 23A Thundercloud Shape Difference Calculator, 24 Data neighborhood data searcher, 25 Current data and neighborhood data comparator, 26 Thundercloud shape comparison case data extractor by position and time, 27 Case data neighborhood data searcher,
28 Case data and neighborhood data comparator, 29, 29A
Thundercloud shape ratio calculator, 30 Missing data complementer for existing data, 31 Complementary data using current thundercloud detector, 32 Case data extractor for thundercloud shape comparison, 33 Missing data complementer for case data, 34 Complementary data Use Case Data Thundercloud Judge, 35 Similarity Calculation Target Data Selector, 36
Similarity calculator, 37 Thundercloud shape similarity modifier, 3
8 Thundercloud comparator of current thundercloud and data with similarity, 39 data selection unit with similarity, 40 thundercloud range determiner with similarity data, 41 thundercloud shape calculator with similarity data, 42
A data selection unit based on similarity, 43 a data selection unit having a certain degree of similarity or more,
45, 45A Thundercloud judgment unit for data with similarity score, 46 High-similarity order data selection unit, 47 Neighbor data search unit for data with similarity score, 48 Data with similarity score and neighborhood data comparator, 49 Select all data with similarity score Data compensator, missing data complementer for data with similarity, and data thundercloud determiner with similarity using 51 complemented data.

Claims (24)

(57) [Claims] 1. A condition of a thundercloud in the search condition and a condition of a thundercloud in the past weather data, based on a search condition, a past lightning judgment element, and past weather data including a lightning judgment element, in consideration of a shape of the thundercloud. A shape-considered thundercloud comparator is provided for obtaining a comparison result of the state of the thundercloud in consideration of the shape, and based on the past weather data selected based on the comparison result, the search condition, and the current lightning judgment element. A lightning prediction support device that calculates a similarity in consideration of a shape of a thundercloud and obtains a search result including selected past weather data and a similarity to the selected past weather data. 2. A weather condition data file storing current lightning judgment elements calculated based on a current lightning situation observation result, and a weather image data file storing lightning risk image data. The image data of the current lightning judgment element and the risk information of the lightning are input, and the search object for the position of the thundercloud and the search object for time are calculated as search conditions, and output together with the current lightning judgment element. A search condition determiner, a weather case data file storing past weather data, the search condition, the current lightning determination element, and the past weather data, and a state of a thundercloud in the search condition And comparing the state of the thundercloud in the past weather data in consideration of the shape of the thundercloud, and outputting a comparison result of the state of the thundercloud in consideration of the shape. The comparison result of the state of the thundercloud in consideration of the shape, the search condition, the current lightning determination element, and the past weather data are input, and the comparison result of the state of the thundercloud in consideration of the shape is obtained. Utilizing, selecting data from the past weather data, the selected past weather data, the search condition,
A thundercloud shape consideration similarity calculation data selector that outputs the current lightning determination element, the selected past weather data, the search condition,
Inputting the current lightning judgment element, calculating a similarity in consideration of the shape of the thundercloud, and outputting the similarity together with the selected past weather data; Degree and the selected past weather data is input, a search result is created, a search result creator that outputs the search result, and the search result and the image data of the risk of lightning are input, The lightning prediction support apparatus according to claim 1, further comprising: a search result display that displays and outputs the search result; and a search result file that stores the search result. 3. The search condition, the present lightning judgment element, and the past weather data are input to the shape-considered thundercloud comparator, and the state of the thundercloud in the past weather data is determined based on all the case data. 3. The lightning prediction support apparatus according to claim 2, further comprising: a thundercloud comparator of the current thundercloud and the case data, which is calculated and compared with a state of the thundercloud under the search condition. 4. A current thundercloud range determiner that inputs the search condition and the current lightning determination element to the current thundercloud and case data thundercloud comparator, and calculates and outputs a current thundercloud range. The current thundercloud range is input, a current thundercloud shape calculator that calculates and outputs a vector representing the current thundercloud shape, and the search condition and the past weather data are input, and the target data to be compared with the thundercloud shape are input. A thundercloud shape comparison example data extractor that extracts and outputs together with past weather data as thundercloud shape comparison case data; inputs the thundercloud shape comparison example data and the past weather data; A thundercloud range determiner for the case data for calculating and outputting the thundercloud range of the case data; and a thundercloud range for the case data for the thundercloud shape comparison, and a thundercloud shape for the case data for the thundercloud shape comparison. A thundercloud shape calculator of the case data which is calculated as a thundercloud shape vector of the case data, and the current thundercloud shape vector of the case data, and the current thundercloud shape vector of the case data, A thundercloud shape difference determiner that determines a difference in a thundercloud shape vector of the case data and outputs the determination result as a comparison result of a state of the thundercloud in consideration of the shape. 3. The lightning prediction support device according to 3. 5. The search condition and the present lightning judgment element are inputted to the present thundercloud range determiner, and a lightning judgment element adjacent to the data designated as the search condition is extracted. A lightning judgment element, the search condition, an adjacent data searcher for present data that is output together with the current lightning judgment element, the adjacent lightning judgment element, the search condition, and the current lightning judgment element Input, to determine whether or not a thundercloud from the adjacent lightning determination element, a thundercloud determiner of the current situation data that outputs the determination result as the current thundercloud range, and, the thundercloud range determiner of the case data The thundercloud shape comparison target case data and the past weather data are input, and data specified as the thundercloud shape comparison target case data and an adjacent lightning determination element are extracted, and the adjacent lightning determination element is Said Cloud shape comparison target case data, an adjacent data searcher for case data output together with the past case data, the adjacent lightning emission determination element, the thundercloud shape comparison target case data, and the past case data. ,
And a case data thundercloud determiner for judging whether the adjacent data of the case data is a thundercloud from the adjacent lightning judgment element and outputting the judgment result as a thundercloud range of the case data for the thundercloud shape comparison. The lightning prediction support apparatus according to claim 4, wherein 6. The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, the current lightning judgment element is compared with the nearby lightning judgment element, and a comparison result of the lightning judgment element is output together with the search condition and the current lightning judgment element. The data and the neighboring data comparator, the comparison result of the lightning determination element, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is determined as the current thundercloud range. Thundercloud detector for current data output as And inputting the thundercloud shape comparison target case data and the past case data to the thundercloud range determiner of the case data, and emitting lightning in the vicinity of the data specified as the thundercloud shape comparison target case data. Extracting the judgment element, the nearby lightning judgment element, the thundercloud shape comparison target case data, the vicinity data searcher of the case data to be output together with the past case data, and the nearby lightning judgment element, The thundercloud shape comparison target case data and the past case data are input, the thundercloud shape comparison target case data and the nearby lightning determination elements are compared, and the comparison result of the lightning determination elements is used as the thundercloud shape. Comparison target case data, case data and neighborhood data comparator output together with the past case data, a comparison result of the lightning determination element, and the thundercloud shape comparison case data, 5. A case data thundercloud determiner that inputs the past case data, determines a thundercloud range in the case, and outputs the determination result as a case thundercloud range. Lightning prediction support device. 7. The search condition and the present lightning judgment element are input to the present thundercloud range determiner, and a lightning judgment element near data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, and missing data between the current lightning judgment element and the nearby lightning judgment element is complemented, and the complement result is output together with the search condition and the current lightning judgment element. A missing data compensator, the complementation result, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is output as the current thundercloud range. Data thundercloud detector The thundercloud range determiner of the case data, the thundercloud shape comparison target case data and the past case data are input, and a lightning determination element near the data specified as the thundercloud shape comparison target case data is generated. Extracting the nearby lightning determination element, the vicinity data searcher for the case data to be output together with the thundercloud shape comparison case data and the past case data, the nearby lightning determination element, and the thundercloud shape Comparison target case data and the past case data are input, and the thundercloud shape comparison target case data and missing data between the neighboring lightning determination elements are complemented, and the complementation result is the past case data. A missing data complementer for case data output together with the thundercloud shape comparison target case data, the complementation result, the thundercloud shape comparison target case data, and the past case data are input. 5. A lightning prediction according to claim 4, further comprising: a supplementary data use case data thundercloud determiner for determining a thundercloud range in the case and outputting the determination result as a thundercloud range of the case data. Support equipment. 8. The current thundercloud shape vector and the thundercloud shape vector of the case data are input to the thundercloud shape difference determiner, and the difference between the current thundercloud shape vector and the thundercloud shape vector of the case data is calculated. 8. A thundercloud shape difference calculator which outputs the difference of the thundercloud shape vector as a result of comparison between the current thundercloud shape and the difference of the thundercloud shape of the case data. A lightning prediction support device as described in Crab. 9. The current thundercloud shape vector and the thundercloud shape vector of the case data are input to the thundercloud shape difference determiner, and the ratio between the current thundercloud shape vector and the thundercloud shape vector of the case data is calculated. 8. A thundercloud shape ratio calculator which outputs a ratio of the thundercloud shape vector as a result of comparing a difference between the current thundercloud shape and the thundercloud shape of the case data. A lightning prediction support device as described in Crab. 10. The search condition and the past weather data are input to the thundercloud shape comparison target case data extractor, and target data to be compared with the thundercloud shape is extracted according to the position of the past weather data. 10. The lightning prediction support apparatus according to claim 8, further comprising a position-based thundercloud shape comparison case data extractor that outputs the thundercloud shape comparison target case data together with past weather data. 11. The search condition and the past weather data are input to the thundercloud shape comparison target case data extractor, and target data to be compared with the thundercloud shape is extracted based on the past weather data position and time. 10. The lightning prediction support apparatus according to claim 8, further comprising a thundercloud shape comparison target case data extractor based on position and time, which is output together with past weather data as thundercloud shape comparison target case data. . 12. The search condition and the past weather data are input to the thundercloud shape comparison case data extractor, and all the past weather data are extracted. The lightning prediction support apparatus according to claim 8 or 9, further comprising an all-case thundercloud shape comparison target case data extractor that outputs the data together with the weather data. 13. A weather condition data file storing current lightning judgment elements calculated based on a current lightning situation observation result, and a weather image data file storing lightning risk image data. The image data of the current lightning judgment element and the risk information of the lightning are input, and the search object for the position of the thundercloud and the search object for time are calculated as search conditions, and output together with the current lightning judgment element. A search condition determiner, a weather case data file for storing past weather data, the search condition, the current lightning determination element, and the past weather data, and Data from which the similarity should be calculated is extracted from the weather data, and the extracted data is used as the similarity calculation target data for the current lightning determination element and the search. A similarity calculation target data selector that is output together with the case, the similarity calculation target data, the current lightning determination element, and the search condition are input, and case data with similarity is calculated. Inputting the search condition, similarity calculator that outputs case data as past weather data together with the current lightning judgment element, the search condition, the current lightning judgment element, and the past weather data And comparing the state of the thundercloud in the search condition with the state of the thundercloud in the past weather data in consideration of the shape of the thundercloud, and outputting a comparison result of the state of the thundercloud in consideration of the shape, the shape-considered thundercloud comparator The comparison result of the state of the thundercloud in consideration of the shape, the search condition, the current lightning determination element, and the past weather data are input, and the comparison result of the state of the thundercloud in consideration of the shape is obtained. Profit A thundercloud shape-based similarity corrector that corrects the similarity of the case data with similarity calculated as past weather data and outputs the corrected past weather data; and A search result creator that inputs data, creates and outputs a search result, and inputs the search result and the image data of the risk of lightning strike,
The lightning prediction support apparatus according to claim 1, further comprising: a search result display that displays and outputs the search result; and a search result file that stores the search result. 14. The shape-constrained thundercloud comparator inputs the search condition, the current lightning judgment element, and the case data with similarity as the past weather data, and 14. The lightning prediction support device according to claim 13, further comprising: a thundercloud comparator for calculating the state of the thundercloud and comparing the current thundercloud with the state of the thundercloud in the search condition. 15. A current thundercloud range determinator that inputs the search condition and the past weather data to a thundercloud comparator of the current thundercloud and the data with similarity, and calculates and outputs a current thundercloud range. A current thundercloud shape calculator that inputs the current thundercloud shape, calculates and outputs the current thundercloud shape, and inputs the past weather data, extracts case data with similarity to compare the thundercloud shape, and calculates the thundercloud shape A data selector with similarity that is output together with the past weather data as data with similarity to be compared, the thundercloud shape comparison similarity data and the past weather data are input, and the thundercloud shape comparison similarity is input. A thundercloud range determiner for data with similarity that calculates and outputs a thundercloud range of attached data; and a thundercloud range of the data with similarity to be compared with the thundercloud shape comparison input, and the thundercloud shape of the data with similarity to be compared with the thundercloud shape comparison. Calculate and output a thundercloud shape calculator of similarity-attached data that is output as a thundercloud shape of the similarity-attached data, and input the current thundercloud shape and the thundercloud area of the similarity-attached data, 15. A thundercloud shape difference determiner that determines a difference in thundercloud shape of the data with similarity, and outputs the determination result as a comparison result of a state of a thundercloud in consideration of the shape. A lightning prediction support device according to item 1. 16. The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element adjacent to data specified as the search condition is extracted. A lightning judgment element, the search condition, an adjacent data searcher for present data that is output together with the current lightning judgment element, the adjacent lightning judgment element, the search condition, and the current lightning judgment element And determining whether or not a thundercloud is present from the adjacent lightning determination element, and a current condition data thundercloud determiner that outputs the result of the determination as a current thundercloud range; and determining a thundercloud range of the data with similarity. In the device, the thundercloud shape comparison target similarity-attached data and the past weather data are input, and data specified as the thundercloud shape comparison target similarity-attached data and adjacent lightning determination elements are extracted,
The adjacent lightning determination element, the adjacent data searcher of the data with similarity to be output together with the thundercloud shape comparison target similarity data and the past weather data, the adjacent lightning determination element, and the thundercloud shape comparison Data with target similarity and the past weather data are input, and from the adjacent lightning judgment element,
A thundercloud determiner for similarity-attached data that determines whether adjacent data of the past weather data is a thundercloud and outputs the determination result as a thundercloud range of the thundercloud shape comparison target similarity-attached data. The lightning prediction support apparatus according to claim 15, wherein: 17. The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, the current lightning judgment element is compared with the nearby lightning judgment element, and a comparison result of the lightning judgment element is output together with the search condition and the current lightning judgment element. The data and the neighboring data comparator, the comparison result of the lightning determination element, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is determined as the current thundercloud range. Cloud judgment of current status data output as The thundercloud shape comparison target similarity-attached data and the past weather data are input to the thundercloud range determiner of the similarity-attached data, and are designated as the thundercloud shape comparison-targeted similarity-attached data. A lightning determination element in the vicinity of the extracted data is extracted, and the nearby lightning determination element is output together with the thundercloud shape comparison target similarity data and the past weather data with similarity data searcher. The lightning determination element in the vicinity, the thundercloud shape comparison target similarity-attached data, and the past weather data are input, and the thundercloud shape comparison similarity-attached data and the nearby lightning determination element are input. And comparing the result of the lightning judgment element with the similarity data with the thundercloud shape comparison target, the data with similarity output together with the past weather data and the neighborhood data comparator, and the comparison result of the lightning judgment element , The thundercloud shape comparison target similarity data and the past weather data are input, a thundercloud range in the similarity data is determined, and the determination result is output as a thundercloud range of the similarity data. The lightning prediction support apparatus according to claim 15, further comprising: a thundercloud determiner for attached data. 18. The search condition and the current lightning judgment element are input to the current thundercloud range determiner, and a lightning judgment element near data specified as the search condition is extracted. The search condition, the vicinity data searcher of the current data to be output together with the current lightning determination element, the nearby lightning determination element, the search condition, and the current lightning A judgment element is input, and missing data between the current lightning judgment element and the nearby lightning judgment element is complemented, and the complement result is output together with the search condition and the current lightning judgment element. A missing data compensator, the complementation result, the search condition, and the current lightning determination element are input, the current thundercloud range is determined, and the determination result is output as the current thundercloud range. Data usage status thundercloud detector In the thundercloud range determiner of the data with similarity, the thundercloud shape comparison target similarity data and the past weather data are input, and the vicinity of data designated as the thundercloud state comparison target similarity data. A lightning judgment element of the vicinity, the lightning judgment element in the vicinity, the similarity data with the thundercloud shape comparison target, the proximity data searcher for data with similarity output together with the past weather data, The lightning judgment element, the thundercloud state comparison target similarity-attached data, and the past weather data are input, and the thundercloud shape comparison target similarity-attached data and the missing data between the nearby lightning judgment elements are calculated. The missing data complementer for complementing and outputting the complementing result together with the past weather data and the thundercloud shape comparison target similarity data, the complementing result and the thundercloud shape comparison target The data with similarity and the similar weather data are input, the thundercloud range in the data with similarity is determined, and the determination result is output as the thundercloud range of the data with similarity. The lightning prediction support device according to claim 15, comprising a device. 19. The current thundercloud shape and the thundercloud shape of the data with similarity are input to the thundercloud shape difference determiner, and the difference between the current thundercloud shape and the thundercloud shape of the data with similarity is calculated. 19. A thundercloud shape difference calculator which outputs the difference in the shape of the thundercloud as a result of comparing the difference between the current thundercloud shape and the shape of the thundercloud in the data with similarity. The lightning prediction support device according to any one of the above. 20. The current thundercloud shape and the thundercloud shape of the data with similarity are input to the thundercloud shape difference determiner, and the ratio between the current thundercloud shape and the thundercloud shape of the data with similarity is calculated. 19. A thundercloud shape ratio calculator which outputs the ratio of the thundercloud shape as a comparison result of the difference between the current thundercloud shape and the thundercloud shape of the data with similarity, according to claim 16, further comprising: The lightning prediction support device according to any one of the above. 21. The search condition and the past weather data are input to the data selection device with similarity degree, and all of the input past weather data are extracted as thundercloud shape comparison target similarity-attached data, 21. The lightning prediction support apparatus according to claim 19, further comprising a data selector with similarity that is output together with the past weather data. 22. The search condition and the past weather data are input to the data selection device with similarity, and case data with similarity to be compared with the shape of the thundercloud are calculated based on the similarity in the case data with similarity. 21. The lightning prediction support apparatus according to claim 19, further comprising a data selection unit based on the similarity that is extracted and output together with the past weather data as the data with the similarity for the thundercloud shape comparison. 23. The search condition and the past weather data are input to the data selecting device based on the similarity, and the data of the similarity in the case data with similarity having a similarity of a certain value or more should be compared with the thundercloud shape. 23. The lightning prediction support apparatus according to claim 22, further comprising a data selection unit that extracts data having a certain degree of similarity or more as the case data with similarity. 24. The search condition and the past weather data are input to the data selecting device based on the similarity, and the similarity is added to the thundercloud shape according to the order of the similarity in the case data with similarity. 3. The apparatus according to claim 2, further comprising a high-similarity-ordered data selection unit that extracts the case data.
3. The lightning prediction support device according to 2.