JP7624754B2 - Management Server - Google Patents

Description

The present invention relates to a management server.

Conventionally, in order to efficiently conduct water sprinkler surveys in conjunction with leak investigations in buildings, the wind direction and amount of rainfall at the time the leak occurred were obtained from meteorological information. However, just from descriptions such as "15 mm per hour, wind speed 10 meters," it was not possible to intuitively grasp the scale of precipitation that had occurred, and there was a risk of conducting a water sprinkler survey on a scale different from the actual precipitation that had occurred, making it impossible to efficiently identify the location of the leak.

JP 2014-240754 A

For example, Patent Document 1 discloses a weather information providing device that provides weather information and weather-related disaster prevention information.

However, Patent Document 1 does not intend to describe an AR (Augmented Reality, meaning "augmented reality"; the same applies below) precipitation video generation system that generates a simulated precipitation video based on data related to a rain leak investigation desired by the user and meteorological information, and verifies the possibility of rain leaks in a building at a desired date, time, and location.

The object of the present invention is to provide an AR precipitation video generation system that generates a simulated precipitation video based on data related to rain leak investigations desired by the user and meteorological information, and verifies the possibility of rain leaks in buildings at a desired date, time and location.

A brief summary of the representative inventions disclosed in this application is as follows:

One embodiment of the present invention includes a user terminal 100, a weather information DB 110, and a management server 120 connected to the user terminal 100 and the weather information DB 110 via a network, and includes an AR precipitation video generator 140 that generates an AR precipitation video 700 based on AR data 210 included in user information 200 received from the user terminal 100 and detailed data 310 included in weather information 300 acquired from the weather information DB 110. The management server 120 also includes an AR precipitation video provider 150 that provides the generated AR precipitation video 700 to the user terminal 100.

According to the present invention, the management server can provide an AR precipitation video generation system that generates a simulated precipitation video based on data related to a rain leak investigation desired by the user and meteorological information, and verifies the possibility of rain leaks in a building at a desired date, time, and location.

1 is a diagram illustrating an overview of a configuration example of an AR precipitation video generation system according to an embodiment of the present invention. 1 is a diagram showing an overview of user information, AR data, and verification data stored in a user information storage unit of a management server in an embodiment of the present invention. FIG. 1 is a diagram showing an overview of weather information and detailed data stored in a weather information DB of an AR precipitation animation production system in an embodiment of the present invention. FIG. FIG. 2 is a diagram showing an overview of the entire process according to an embodiment of the present invention. 1A to 1C are diagrams illustrating an overview of a user information acquisition process and a user information storage process according to an embodiment of the present invention. FIG. 1 is a diagram showing a flow of AR precipitation video generation in one embodiment of the present invention. FIG. 1 is a diagram showing an outline of an AR precipitation video according to an embodiment of the present invention. FIG. 1 is a diagram showing an overview of an AR precipitation video generation process according to an embodiment of the present invention. FIG. 1 is a diagram showing an overview of an AR precipitation video providing process according to an embodiment of the present invention. FIG. 1 is a diagram showing an overview of a risk index calculation process and a risk index storage process according to an embodiment of the present invention. FIG. 1 is a diagram showing an overview of a verification process according to an embodiment of the present invention. FIG. 13 is a diagram showing an outline of a verification result screen according to an embodiment of the present invention. FIG. 13 is a diagram showing an outline of a verification result screen generation process according to an embodiment of the present invention. FIG. 13 is a diagram showing an outline of a verification result screen providing process according to an embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Note that this is merely an example, and the technical scope of the present invention is not limited to this example. In addition, in all the drawings for explaining the embodiment, the same parts are generally given the same reference numerals, and repeated explanations will be omitted.
<System Configuration>
FIG. 1 is a diagram showing an outline of a configuration example of an AR precipitation animation generating system according to an embodiment of the present invention.

As shown in FIG. 1, the AR precipitation video generation system of this embodiment includes a user terminal 100, a weather information DB 110, and a management server 120 connected to the user terminal 100 and the weather information DB 110 via a network.

The management server 120 has a user information storage unit 130, an AR precipitation video storage unit 131, a danger index storage unit 132, a verification result screen storage unit 133, an AR precipitation video generation unit 140, an AR precipitation video provision unit 150, a danger index calculation unit 160, a verification unit 170, a verification result screen generation unit 180, and a verification result screen provision unit 190.

The user information storage unit 130 stores user information 200 (described later, FIG. 2). The weather information DB 110 stores weather information 300 (described later, FIG. 3). The AR precipitation video storage unit 131 stores AR precipitation video 700 (described later, FIG. 7). The verification result screen storage unit 133 stores a verification result screen 1200 (described later, FIG. 12).

The AR precipitation video generating unit 140 extracts the AR data 210 contained in the user information 200 acquired from the user information storage unit 130, acquires the weather information 300 corresponding to the contents of each item of the extracted AR data 210 from the weather information DB 110, extracts the detailed data 310 contained in the acquired weather information 300, generates the AR precipitation video 700 based on the AR data 210 and the detailed data 310, and stores the AR precipitation video 700 in the AR precipitation video storage unit 131.

The AR precipitation video providing unit 150 provides the generated AR precipitation video 700 to the user terminal 100.

The risk index calculation unit 160 calculates the risk index 1000 based on the risk index information 900 acquired from the user terminal 100.

The verification unit 170 extracts the verification data 220 contained in the user information 200 acquired from the user information storage unit 130, acquires the weather information 300 and risk index 1000 corresponding to the contents of each item of the extracted verification data 220, and generates a verification result 1100 by calculating the possibility of a leak for the date, time, place, and building included in the verification data 220 based on the acquired weather information 300 and risk index 1000.

The verification result screen generating unit 180 acquires the verification result 1100 from the verification unit 170, generates the verification result screen 1200 based on the acquired verification result 1100, and stores the verification result screen 1200 in the verification result screen storage unit 133.

The verification result screen providing unit 190 provides the generated verification result screen 1200 to the user terminal 100 .
<User information storage unit>
FIG. 2A is a diagram showing an outline of an example of the configuration of user information 200 stored in the user information storage unit 130 of the management server 120 in one embodiment of the present invention.

As shown in FIG. 2(a), user information 200 is composed of data items such as user ID, name, AR data 210, and verification data 220.

The user ID indicates a code by which the management server 120 identifies the user. The name indicates the user's name. The AR data 210 indicates data required to generate the AR precipitation video 700 that the user terminal 100 acquires by accepting input from the user (details will be described later). The verification data 220 indicates data required to generate the verification result 1100 that the user terminal 100 acquires by accepting input from the user (details will be described later).

Figure 2 (b) is a diagram showing an outline of an example of the configuration of AR data 210 included in user information 200 stored in the user information storage unit 130 of the management server 120 in one embodiment of the present invention. The AR data 210 indicates information such as an AR data ID, shooting data, desired AR date and time, and desired AR location.

The AR data ID indicates a code used by the management server 120 to identify the AR data 210.

The shooting data indicates video data actually captured by the user on-site of the building that the user wishes to display in the AR precipitation video 700. For example, the shooting data is indicated as "XXX.mp4". There are no particular limitations on the time or capacity of the shooting data. The shooting data may be captured directly by the user terminal 100 using the camera function of the terminal, or may be video data captured by an external camera that is received and stored by the user terminal 100.

The shooting data is stored together with the video data, linked to the date and time of shooting. Furthermore, the shooting data is also stored linked to various information such as position, acceleration, and direction acquired by the GPS, gyro sensor, etc., provided in the user terminal 100.

The desired AR date and time indicates the date and time of precipitation that the user desires to display in the AR precipitation video 700. For example, the desired AR date and time is indicated as "23/3/15, 9:10." In this way, the AR precipitation video 700 can simulate the precipitation conditions for the user's desired date and time.

The desired AR location indicates the location of precipitation that the user desires to display in the AR precipitation video 700. For example, the desired AR location is indicated as "XX ward, Omiya city...". In this way, the AR precipitation video 700 can simulate the precipitation conditions for the user's desired location.

In this way, the management server 120 can generate an AR precipitation video 700 that simulates the precipitation conditions at the date, time, location, and building desired by the user. In other words, the user can easily view the AR precipitation video 700 for the date, time, location, and building desired by the user.

Figure 2 (c) is a diagram showing an outline of an example of the configuration of the verification data 220 included in the user information 200 stored in the user information storage unit 130 of the management server 120 in one embodiment of the present invention. The verification data 220 indicates information such as the verification data ID, building data, desired verification date and time, and desired verification location.

The verification data ID indicates a code used by the management server 120 to identify the verification data 220.

The building data indicates information about the building for which the user wishes to verify the possibility of leaks. For example, the building data indicates the structure and age of the building, such as "two-story wooden structure, 21 years old." The building data also includes the finishing materials, thickness, size, and length of the walls, ceiling, roof, floors, pillars, and beams.

The desired verification date and time indicates the date and time of precipitation that occurred in the building for which the user wishes to verify the possibility of rain leaks. For example, the desired verification date and time may be indicated as "Apr 15, 2011, 9:10". In this way, the management server 120 can allow the user to grasp the possibility of rain leaks in the building for the desired date and time.

The desired location for verification indicates the location where precipitation occurred in the building for which the user wishes to verify the possibility of rainwater leaks. For example, the desired location for verification may be indicated as "XX Ward, Yokohama City...". In this way, the management server 120 allows the user to grasp the possibility of rainwater leaks in the building for the desired location.

In this manner, the management server 120 can allow the user to grasp the possibility of rain leakage at the date, time, location, and building desired by the user. In other words, the user can easily grasp the possibility of rain leakage at the date, time, location, and building desired by the user.
<Weather Information DB>
FIG. 3A is a diagram showing an overview of weather information 300 stored in the weather information DB 110 of the AR precipitation animation production system according to one embodiment of the present invention.

As shown in FIG. 3(a), the weather information 300 is composed of data items such as a weather information ID, date and time, location, and detailed data 310.

The weather information ID indicates a code used by the management server 120 to identify the weather information 300.

The date and time indicates the date and time to which the weather information 300 pertains. For example, the date and time is indicated as "3/15/'23, 8:10".

The location indicates the location to which the weather information 300 applies. For example, the location is indicated as "XX ward, Tokyo..."

Detailed data 310 indicates the information necessary to verify the weather information 300 desired by the user (details will be described later).

Figure 3(b) is a diagram showing an overview of detailed data 310 stored in the weather information DB 110 of the AR precipitation video generation system in one embodiment of the present invention.

As shown in FIG. 3(b), the detailed data 310 is composed of data items such as a weather information ID, precipitation, wind direction, wind speed (average wind speed and maximum instantaneous wind speed), and temperature.

The amount of precipitation indicates the amount of rain or snowfall at the date, time and location corresponding to the weather information 300. More specifically, the amount of precipitation indicates the depth of water that accumulates after rain, snow, hail, sleet, etc. falls on the ground and does not evaporate or run off. The unit of precipitation is millimeters (per hour). For example, the amount of precipitation is indicated as "25 mm/h".

The wind direction indicates the direction of the wind at the date, time and location corresponding to the weather information 300. More specifically, the wind direction indicates the direction from which the wind is blowing using 16 compass directions. For example, the wind direction is indicated as "south-southeast."

Wind speed indicates the speed at which the wind blows at the date, time and location corresponding to the weather information 300. More specifically, wind speed indicates the distance air moves in one second. Note that wind speed may include average wind speed and maximum instantaneous wind speed as separate information. Average wind speed indicates the average wind speed for the previous 10 minutes at approximately 10 meters above the ground. Maximum instantaneous wind speed indicates the maximum value of instantaneous wind speed (instantaneous value of wind speed) in a specified time period or period. Wind speed is expressed in meters per second. For example, average wind speed is expressed as "11.3 m/s" and maximum instantaneous wind speed is expressed as "18.0 m/s".

The temperature indicates the atmospheric temperature at the date, time and place corresponding to the weather information 300. For example, the temperature is indicated as "20°C".
<Overall processing>
FIG. 4 is a diagram showing an outline of the overall processing in one embodiment of the present invention.

First, in S401, the management server 120 performs a user information acquisition process and a user information storage process (described later in FIG. 5).

Next, in S402, the management server 120 performs the AR precipitation video generation process (described later in Figures 6 to 8).

Next, in S403, the management server 120 performs the AR precipitation video provision process (described later in FIG. 9).

Next, in S404, the management server 120 performs a risk index calculation process and a risk index storage process (described later in FIG. 10).

Next, in S405, the management server 120 performs a verification process (described later in FIG. 11).

Next, in S406, the management server 120 performs a verification result screen generation process (described later in FIG. 12 and FIG. 13). After that, in S407, the management server 120 performs a verification result screen provision process (described later in FIG. 14).

If the user desires re-verification, the management server 120 proceeds to step S401.
<User Information Storage Process>
5A is a diagram showing an overview of the user information storage process in one embodiment of the present invention. The method in which the management server 120 stores the user information 200 will be described below.

First, in S501, the management server 120 provides a user information input screen to the user terminal 100. Next, in S502, the user terminal 100 displays the user information input screen on the display.

After that, when the user uses the system according to the present invention for the first time, or when the user changes (re-verifies) the verification data 220, in S503, the user terminal 100 accepts input of user information 200 from the user. Note that the user information 200 accepted from the user at this time includes the verification data 220.

Next, in S504, the user terminal 100 transmits the user information 200 inputted in S503 to the management server 120.

Next, in S505, the management server 120 receives the user information 200 transmitted in S504, thereby acquiring the user information 200. Next, in S506, the management server 120 assigns a user ID to the received user information 200, and stores the user information 200 inputted in S503 in the user information storage unit 130.
<User information acquisition process>
5B is a diagram showing an overview of the user information acquisition process in one embodiment of the present invention. A method in which the management server 120 acquires the user information 200 will be described below.

When the user uses the system according to the present invention for the second or subsequent time, in S507, the user terminal 100 accepts input of a user ID from the user. The user ID is included in the user information 200.

Next, in S508, the user terminal 100 transmits the user ID input in S507 to the management server 120.

Thereafter, in S509, the management server 120 acquires from the user information storage unit 130 the user information 200 corresponding to the key of the user ID transmitted in S508.
<Flow of AR precipitation video generation>
FIG. 6 is a diagram showing a flow of generating an AR precipitation video according to an embodiment of the present invention.

As shown in FIG. 6, first, the user 101 takes a picture of the exterior of an actual building with the user terminal 100. At this time, the user 101 takes a picture of the building 610 using a known means with the camera function of the user terminal 100. This building 610 is the building that the user wishes to display in the AR precipitation video 700. The shooting date and time are not particularly limited, and the user 101 takes the picture at any date and time that is convenient for the user. The captured video data is stored as "shooting data" as part of the AR data 210, linked to the date, time, location, etc. That is, (because the AR data 210 is included in the user information 200), the shooting data is stored in the user terminal 100 as part of the user information 200.

Next, when a user uses this system, the user terminal 100 transmits user information 200 including the photographed data to the management server 120 (as described in FIG. 5, S504). Then, in a process described later (FIG. 8), the management server 120 receives weather information 300 for the vicinity of the building 610 at the desired AR date and time (e.g., 3/15/'23, 9:10) from the weather information DB 110.

Then, through processing described below, the management server 120 generates an AR precipitation video 700 and provides it to the user terminal 100 .
<AR Precipitation Video>
FIG. 7 is a diagram showing an outline of an AR precipitation video 700 according to an embodiment of the present invention.

As shown in FIG. 7, the AR precipitation video 700 includes a video display area 710, an AR data display area 720, a rain leak possibility input tab 730, and a precipitation layer 740. The AR precipitation video 700 is displayed on the user terminal 100.

The video display area 710 displays the contents (video) of the AR precipitation video 700 generated based on the AR data 210 extracted by the management server 120 in S802 (described below) and the detailed data 310 extracted by the management server 120 in S804.

The video display area 710 first displays the desired AR date and time and the contents of the shooting data for the desired AR location contained in the AR data 210. For example, the video display area 710 first displays the exterior of a building 610 located in "XX Ward, Omiya City..." at the date and time "3/15/'23, 9:10".

Then, the video display area 710 displays a "precipitation layer 740" generated based on the detailed data 310 included in the weather information 300 corresponding to the desired AR date and time and the desired AR location. The precipitation layer 740 displays a pseudo precipitation line (rain pattern) by moving line segment data of a specified length at a specified angle and at specified intervals from the top to the bottom of the screen. The precipitation layer 740 is also generated based on a simulation program that reflects the contents of the detailed data 310 (weather information 300).

For example, if the contents of the detailed data 310 for "XX Ward, Omiya City..." on "15/3/'23, 9:10" are "precipitation: 25 mm/h," "wind direction: south-southeast," "average wind speed: 11.3 m/s," "temperature: 20°C," etc., the precipitation layer 740 is generated by reflecting these contents in the program. In other words, the pseudo precipitation lines (rain patterns) that make up the precipitation layer 740 have the amount of line segments, angle, speed of movement, etc. determined from information on the precipitation amount, wind direction, wind speed, etc.

Then, the video display area 710 displays the precipitation layer 740 so as to be superimposed on the layer in which the building 610 is displayed. In this way, the video display area 710 displays a simulated precipitation situation for the date, time, and location desired by the user. Note that there is no particular limitation on the way in which the video display area 710 is displayed.

The AR data display area 720 displays the contents of the AR data 210.

The rain leak possibility input tab 730 displays a tab for a user who has viewed the AR precipitation video 700 to input information about the possibility of rain leaking in the building 610. For example, the rain leak possibility input tab 730 displays "Possibility: 70" or "Southeast wall on the first floor." This indicates the parts of the building that are most likely to leak (walls, ceilings, roofs, floors, etc.), and may be preset so that they can be selected in advance. The possibility may be a number from 1 to 100, or may be a five-point scale, and is not particularly limited.

In this way, by generating the AR precipitation video 700 and providing it to the user terminal 100, the management server 120 can generate the AR precipitation video 700 that simulates the precipitation conditions at the date, time, location, and building desired by the user. In other words, the user can easily view the AR precipitation video 700 for the date, time, location, and building desired by the user.

In addition, by providing a leak possibility input tab 730, the management server 120 can obtain what is essentially the "risk of leaks assessed by users who have viewed the AR precipitation video 700," and use this to calculate the risk index 1000 (details will be described later).

In this way, the intuitive risk of rain leaks from a building evaluated by a user who viewed the AR precipitation video 700 can be linked to the building, and the management server 120 can allow other users to verify the possibility of rain leaks for a desired date, time, location, and building through a verification process (described in detail below).
<AR precipitation video generation processing>
FIG. 8 is a diagram showing an outline of the AR precipitation movie generating process according to an embodiment of the present invention.

First, in S801, the AR precipitation video generation unit 140 of the management server 120 acquires the user information 200 required to generate the AR precipitation video 700 from the user information storage unit 130.

Next, in S802, the AR precipitation video generator 140 extracts the AR data 210 contained in the user information 200 acquired in S801.

Next, in S803, the AR precipitation video generator 140 acquires from the weather information DB 110 the weather information 300 corresponding to the contents of each item of the AR data 210 extracted in S802. More specifically, the weather information 300 corresponding to the contents of the desired AR date and time, desired AR location, etc., included in the AR data 210 is acquired. For example, if the desired AR date and time is "23/3/15, 9:10" and the desired AR location is "XX Ward, Omiya City..." among the items of the AR data 210 acquired in S801, the weather information 300 corresponding to that date and time and location is extracted.

Next, in S804, the AR precipitation video generator 140 extracts the detailed data 310 contained in the weather information 300 acquired in S803.

Next, in S805, the AR precipitation video generator 140 generates the AR precipitation video 700 based on the AR data 210 extracted in S802 and the detailed data 310 extracted in S804.

As described above, the AR precipitation video generator 140 generates the AR precipitation video 700 by including a "video display area 710" that displays the desired AR date and time and the contents of the shooting data at the desired AR location included in the AR data 210. The video display area 710 also displays a "precipitation layer 740" that is generated based on the detailed data 310 (precipitation amount, wind direction, wind speed, temperature, etc.) included in the weather information 300 that corresponds to the desired AR date and time and the desired AR location included in the extracted AR data 210.

Next, in S806, the AR precipitation video generation unit 140 stores the AR precipitation video 700 generated in S805 in the AR precipitation video storage unit 131.

Next, in S807, the AR precipitation movie generation unit 140 requests the AR precipitation movie provision unit 150 to provide the AR precipitation movie 700.
<AR precipitation video provision processing>
FIG. 9 is a diagram showing an outline of a configuration example of the AR precipitation video providing process in one embodiment of the present invention.

First, in S901, the AR precipitation video providing unit 150 of the management server 120 receives the request to provide the AR precipitation video 700 requested in S807.

Next, in S902, the AR precipitation video providing unit 150 extracts the AR precipitation video 700 stored in S806 from the AR precipitation video storage unit 131.

Next, in S903, the AR precipitation video providing unit 150 extracts from the user information storage unit 130 the user information 200 corresponding to the user ID to which the AR precipitation video 700 extracted in S902 is to be provided.

Next, in S904, the AR precipitation video providing unit 150 provides the AR precipitation video 700 extracted in S903 to the user terminal 100.

Next, in S905, the user terminal 100 displays the AR precipitation video 700 provided by the management server 120 in S904 on the terminal display.

Next, in S906, the user terminal 100 accepts input from the user into the rain leak possibility input tab 730 included in the AR precipitation video 700. That is, the user first views the provided AR precipitation video 700, and inputs or selects the possibility of rain leaks in the building 610 and the areas where this is most likely (walls, floors, roof and floor number, direction, etc.) into the "rain leak possibility input tab 730." Note that the rain leak possibility input tab 730 may be configured so that the user can freely input text, or a numerical value indicating the possibility of rain leaks and candidates for areas where this is most likely are preset, and the user may select from among these.

For example, if the user views the AR precipitation video 700 and judges that "the wind and rain are hitting the southeast wall of the first floor strongly, so there is a high possibility of a leak in the southeast wall of the first floor," the user selects or inputs "Leak probability: 70%, location: southeast wall of the first floor" in the leak probability input tab 730. In this way, the user terminal 100 accepts input from the user to the leak probability input tab 730 included in the AR precipitation video 700.

Next, in S907, the user terminal 100 temporarily stores the content received in S906 as risk index information 900.

At S908, the user terminal 100 transmits a risk index calculation instruction to the management server 120. The management server 120 then requests the risk index calculation unit 160 to calculate the risk index 1000.

In this way, by generating the AR precipitation video 700 and providing it to the user terminal 100, the management server 120 can generate the AR precipitation video 700 that simulates the precipitation conditions at the date, time, place, and building desired by the user. In other words, the user can easily view the AR precipitation video 700 at the date, time, place, and building desired by the user.
<Danger index calculation process>
FIG. 10 is a diagram showing an outline of the risk index calculation process and the risk index storage process in one embodiment of the present invention.

First, in S1001, the risk index calculation unit 160 of the management server 120 receives the request for the risk index calculation process requested in S908.

Next, in S1002, the risk index calculation unit 160 acquires the risk index information 900 that the user terminal 100 temporarily stored in S907.

Next, in S1003, the risk index calculation unit 160 calculates a risk index 1000 based on the risk index information 900 acquired in S1002. For example, if the content of the risk index information 900 is "Possibility of rain leak: 70%, location: southeast wall on the first floor," the risk index calculation unit 160 calculates the risk index 1000 to be "75." The value of the risk index 1000 is indicated as a value from 1 to 100, etc., and the higher the value, the higher the possibility of rain leak.

The method of calculating the risk index 1000 is not particularly limited, but for example, the risk index 1000 is calculated as the value of "possibility of leaking x coefficient α". A predetermined value is set for this coefficient α depending on the location of the wall. For example, it is set as "coefficient α for the southeast wall on the first floor = 1.07". The value of the coefficient α is set according to "which wall is prone to leaking" based on past cases of leaking, but it may also be set arbitrarily. In this way, the risk index calculation unit 160 can calculate the risk index 1000 based on the contents of the risk index information 900.

The risk index 1000 can be said to be "the risk of rainwater leaks assessed by a user who viewed the AR precipitation video 700" and can be considered to be a numerical value that is specific to the building. Using the risk index 1000, which is a "numerical value specific to the building," the management server 120 can calculate the verification result 1100 by the method described below.

Next, in S<b>1004 , the risk index calculation section 160 stores the generated risk index 1000 in the risk index storage section 132 .
<Verification process>
FIG. 11 is a diagram showing an outline of the verification process in one embodiment of the present invention.

First, in S1101, the verification unit 170 of the management server 120 obtains the user information 200 from the user information storage unit 130 and extracts the verification data 220.

Next, in S1102, the verification unit 170 obtains from the weather information DB 110 the weather information 300 corresponding to the contents of the items of the verification data 220 extracted in S1101. More specifically, the verification unit 170 obtains the weather information 300 corresponding to the contents of the desired verification date and time, the desired verification location, etc., included in the verification data 220. For example, if the items of the verification data 220 extracted in S1101 include the desired verification date and time "23/4/15, 9:10" and the desired verification location "Yokohama City, XX Ward...", the verification unit 170 extracts the weather information 300 corresponding to the date, time, and location.

Next, in S1103, the verification unit 170 obtains from the risk index storage unit 132 a risk index 1000 corresponding to the contents of the items of the verification data 220 extracted in S1101. More specifically, the verification unit obtains a risk index 1000 corresponding to the contents of the building data, the desired verification location, etc., included in the verification data 220. For example, if the building data among the items of the verification data 220 extracted in S1101 is "wooden, two stories, built 21 years ago" and the desired verification location is "XX Ward, Yokohama City...", the verification unit 170 extracts a risk index 1000 for the building corresponding to the building data and location.

Next, in S1104, the verification unit 170 generates and temporarily stores the verification result 1100 by calculating the possibility of a leak for the date, time, location, and building included in the verification data 220 based on the weather information 300 acquired in S1102 and the risk index 1000 acquired in S1103.

The method of calculating the verification result 1100 is not particularly limited, but for example, the verification result 1100 is calculated as a numerical value of "Danger index 1000 x coefficient β." In other words, the verification result 1100 is calculated by first using the weather conditions (presence or absence of precipitation) at the date, time, and location to be verified as a criterion, and multiplying the coefficient β, which is set according to the strength of precipitation and wind and rain, by the danger index 1000 (a numerical value specific to the building, so to speak) linked to the date, time, location, and building.

For example, if the verification data 220 contains building data "wooden structure, 2 stories, built 21 years ago," desired verification date and time "23/4/15, 9:10," and desired verification location "XX Ward, Yokohama City...," and the weather information 300 corresponding to the building data, date and location is "no precipitation (coefficient β = 0)," then regardless of the value of the risk index 1000, the possibility of a leak will be 0, and the verification result 1100 will be calculated as "leak risk: 0."

In other words, as mentioned above, the risk index 1000 is, so to speak, a "building-specific numerical value" regarding the risk of rainwater leakage, whereas the verification result 1100 can be said to be "a numerical value that changes according to the weather information for the date, time, and place to be verified." For example, if there is building Y (a building rated by many users as having a high risk of rainwater leakage), no matter how high the risk index 1000 is, if the date and time verified by a certain user is "sunny," the numerical value of the verification result 1100 for building Y will be calculated as "0."

Next, in S1105, the verification unit 170 requests the verification result screen generation unit 180 to generate the verification result screen 1200.

In this way, by calculating the verification result 1100 by combining (multiplying) the risk index 1000 and the weather information 300, the management server 120 can obtain a rain leak risk according to the weather conditions at the verification date and time desired by the user, rather than simply a rain leak risk specific to the building. The management server 120 can then generate a verification result screen 1200 using this verification result 1100. In other words, the management server 120 can provide the user with more reliable information about the possibility of rain leaks.
<Verification result screen>
FIG. 12 is a diagram showing an overview of a verification result screen 1200 according to an embodiment of the present invention.

As shown in FIG. 12, the verification result screen 1200 includes a verification data display area 1210, a verification result display area 1220, and a re-verification tab 1230. The verification result screen 1200 is displayed on the user terminal 100.

The verification data display area 1210 displays the contents of the verification data 220 for the date, time, location, and building for which the user wishes to verify the possibility of a leak. There are no particular limitations on how the verification data display area 1210 is displayed.

The verification result display area 1220 displays the contents of the verification result 1100 calculated by the verification unit 170. For example, the verification result display area 1220 displays the contents of the verification result 1100 such as "Risk of rain leakage: 75%." Note that there is no particular limitation on how the verification result display area 1220 is displayed.

In this way, by providing the verification result screen 1200 to the user terminal 100, the management server 120 can obtain more reliable information about the possibility of rainwater leaking from the building at the date, time, and location desired by the user. In addition, the user can easily grasp the possibility of rainwater leaking for the date, time, location, and building that the user wishes to verify, without actually taking pictures of the building on-site.
<Verification result screen generation process>
FIG. 13 is a diagram showing an outline of a verification result screen generating process in one embodiment of the present invention.

First, in S1301, the verification result screen generation unit 180 of the management server 120 accepts the request to generate the verification result screen 1200 requested in S1105.

Next, in S1302, the verification result screen generating unit 180 acquires from the verification unit 170 the verification result 1100 that the verification unit 170 temporarily stored in S1104.

Next, in S1303, the verification result screen generation unit 180 generates the verification result screen 1200 based on the verification result 1100 obtained in S1302.

Specifically, the verification result screen generating unit 180 displays in the verification data display area 1210 the contents of the verification data 220 relating to the date, time, location, and building for which the user wishes to verify the possibility of rain leakage, and displays in the verification result display area 1220 the contents of the verification result 1100 calculated by the verification unit 170, thereby generating the verification result screen 1200.

Next, in S1304, the verification result screen generation unit 180 stores the verification result screen 1200 generated in S1303 in the verification result screen storage unit 133.

Next, in S<b>1305 , the verification result screen generating unit 180 requests the verification result screen providing unit 190 to provide the verification result screen 1200 .
<Verification result screen provision process>
FIG. 14 is a diagram showing an outline of a configuration example of a verification result screen providing process in an embodiment of the present invention.

First, in S1401, the verification result screen providing unit 190 of the management server 120 accepts a request to provide the verification result screen 1200 requested in S1305.

Next, in S1402, the verification result screen providing unit 190 extracts the verification result screen 1200 to be provided from the verification result screen storage unit 133.

Next, in S1403, the verification result screen providing unit 190 extracts from the user information storage unit 130 the user information 200 corresponding to the user ID for which the verification result screen 1200 extracted in S1402 is to be provided.

Next, in S1404, the verification result screen providing unit 190 provides the verification result screen 1200 extracted in S1402 to the user terminal 100.

Next, in S1405, the user terminal 100 displays the verification result screen 1200 provided by the management server 120 in S1404 on the terminal display.

Next, in S1406, the user terminal 100 determines whether or not a pressing input of the re-verification tab 1230 has been received from the user. If a pressing input of the re-verification tab 1230 has been received from the user, the user terminal 100 proceeds to step S1407. If a pressing input of the re-verification tab 1230 has not been received from the user, the user terminal 100 ends this step.

In S1407, the user terminal 100 sends a re-verification instruction to the management server 120. The management server 120 then proceeds to step S401 to perform re-verification, and subsequently performs steps S405 to S407.

In this way, by providing the verification result screen 1200 to the user terminal 100, the management server 120 can obtain more reliable information about the possibility of rainwater leaking from the building at the date, time, and location desired by the user. In addition, the user can easily grasp the possibility of rainwater leaking for the date, time, location, and building that the user wishes to verify, without actually taking pictures of the building on-site.
<Effects of this embodiment>
According to the embodiment of the present invention described above, the management server 120 can provide an AR precipitation video generation system that generates a pseudo precipitation video based on data related to a rain leak investigation desired by the user and meteorological information, and verifies the possibility of rain leaks in a building at a desired date, time, and location.

In addition, by providing the user terminal 100 with an AR precipitation video 700 that simulates the precipitation conditions at the user's desired date, time, location, and building, the management server 120 can allow the user to easily understand the precipitation conditions at the desired date, time, location, and building, and to easily confirm how much water should be sprayed and in which locations when investigating a leak. In other words, by viewing the AR precipitation video 700, the user can efficiently conduct a leak investigation.

In addition, by having a user view the provided AR precipitation video 700 and input the possibility of rain leaks, the management server 120 can link the intuitive risk of rain leaks assessed by the user to the building, and allow other users to perform credible verification of the possibility of rain leaks for a desired date, time, location, and building.

In other words, users can easily determine the plausible possibility of a leak for the date, time, location, and building they wish to verify without actually taking photographs of the building on-site, and can more efficiently conduct leak investigations.

The invention made by the present inventor has been specifically described above based on an embodiment, but the present invention is not limited to the above embodiment, and it goes without saying that various modifications are possible without departing from the gist of the invention. For example, the user terminal includes not only smartphones, but also all user terminals of various types such as notebook PCs and tablet terminals.

The above-mentioned embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those having all of the configurations described. It is also possible to replace part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

The above configurations, functions, and processing units may be realized in part or in whole by hardware (e.g., integrated circuits). The above configurations, functions, and processing units may be realized by installable software via a network or a storage medium such as a disk, in which a processor interprets and executes a program that realizes each function, or by a network application such as an ASP. Information such as the programs, tables, and files that realize each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

100... User terminal 110... Weather information DB
120 Management server 130 User information storage unit 131 AR precipitation video storage unit 132 Risk index storage unit 133 Verification result screen storage unit 140 AR precipitation video generation unit 150 AR precipitation video provision unit 160 Risk index calculation unit 170 Verification unit 180 Verification result screen generation unit 190 Verification result screen provision unit 700 AR precipitation video 1200 Verification result screen

Claims (1)

A management server connected to a user terminal and a weather information database via a network,
a user information storage unit configured to store user information received from the user terminal, the user information including data items of a user ID, a name, AR data, and verification data;
an AR precipitation video generating unit that generates an AR precipitation video to be displayed on the user terminal based on the AR data and detailed data included in the weather information acquired from the weather information DB;
an AR precipitation video providing unit that provides the generated AR precipitation video to the user terminal;
A risk index calculation unit that calculates a risk index indicating a possibility of rain leakage in a building based on risk index information acquired from the user terminal and including a possibility of rain leakage in the building and a location of rain leakage in the building;
a verification unit that acquires meteorological information and the risk index corresponding to the contents of each item of the verification data, and generates a verification result by calculating the possibility of rain leakage at the date, time, place, and building included in the verification data based on the acquired meteorological information and the risk index;
a verification result screen generating unit that generates a verification result screen based on the verification result and stores the verification result screen in a verification result screen storage unit;
a verification result screen providing unit that provides the verification result screen to the user terminal;
having
The AR data includes information such as an AR data ID, shooting data, desired AR date and time, and desired AR location,
The detailed data includes data items such as a weather information ID, precipitation, wind direction, wind speed, and temperature.
The verification data includes information on a verification data ID, building data, a desired verification date and time, and a desired verification location,
The AR precipitation video includes a video display area, an AR data display area, a rain leakage possibility input tab, and a precipitation layer;
the AR precipitation animation generating unit displays, in the animation display area, a precipitation layer generated based on detailed data included in the weather information corresponding to the desired AR date and time and the desired AR location;
Management server.