JP7020100B2 - Information processing equipment, hazard map generation method and program - Google Patents

Description

The present invention relates to an information processing apparatus, a hazard map generation method and a program.

There is a hazard map that displays the expected damage situation on a map when a disaster such as an earthquake, a tsunami caused by an earthquake, a heavy rain, or a volcanic eruption occurs. Hazard maps provide residents with various information on disasters in an easy-to-understand format so that they can reduce the damage caused by disasters, recognize the degree of disaster risk in the area where they live, and actually have a disaster. It is used for the purpose of minimizing damage.

Hazard maps are generally created based on disaster information from past disasters. Therefore, when a disaster actually occurs, the damage situation is not always the same as the disaster risk level displayed on the hazard map, so the hazard map is not always fully utilized. Therefore, a related technique for creating a hazard map that displays a real-time damage situation when a disaster occurs is being studied (for example, Patent Document 1).

In Patent Document 1, when a flood or other flood occurs, the current river information is used to perform flood analysis and river channel water level prediction in real time, and the calculated information is dynamically displayed in real time. A dynamic flood simulation system is disclosed.

By the way, in recent years, SNS (Social Networking Service) such as Twitter (registered trademark) and Facebook (registered trademark) have become widespread all over the world. SNS is a service that allows users to easily post events that occur around them, and by collecting SNS information, a huge amount of information can be collected. Therefore, it is expected to provide various services using SNS information. For example, as in Patent Document 2, when a disaster occurs, it is considered to deliver disaster-related information in real time using SNS information.

In Patent Document 2, SNS information is collected, the collected SNS information is analyzed, and the age group, gender, evacuation status of surrounding people, disaster status, type of disaster, etc. of the sender of the SNS information are real-time. It is disclosed to output item information.

Japanese Unexamined Patent Publication No. 2004-197554 Japanese Unexamined Patent Publication No. 2014-164381

As described above, SNS is a service that allows users to easily post events that occur in their immediate surroundings, and it is possible to provide various services using SNS information. Therefore, the inventor considered creating a hazard map that is utilized by many users by using SNS information.

Here, Patent Document 1 does not disclose that a hazard map is created using SNS information. Further, Patent Document 2 is a technique for acquiring and analyzing SNS information when a disaster occurs and distributing information related to the disaster. However, in order to apply it to the hazard map, it is necessary to analyze the acquired SNS information and output the quantified disaster information. Patent Document 2 does not disclose that quantified disaster information is output using SNS information. Therefore, even if the technique disclosed in Patent Document 2 is used, it is not possible to create a hazard map using SNS information.

An object of the present disclosure is to solve such a problem, and to provide an information processing apparatus, a hazard map generation method, and a program capable of creating a hazard map using SNS information.

When a disaster occurs, the information processing apparatus according to the first aspect provides location information, pre-registered information indicating danger, and safety among the posted information related to the disaster posted by a plurality of users. Based on one of a plurality of keywords including the indicated information, an acquisition unit for acquiring post information including, and a keyword included in the acquired post information, the post information is included in each of the acquired post information. A processing unit that sets the impact level of the disaster to be shown and classifies each of the acquired posted information into one of a plurality of predetermined areas based on the location information included in the acquired posted information. And, for each area, a decision unit that determines the influence level of the entire area based on the influence level set in the posted information classified in the area, and for each area, based on the influence level of the entire area. , A hazard map is generated by superimposing the influence level of the entire area on the map information for the determination unit for determining whether or not the area is dangerous and the area determined by the determination unit to be dangerous. It is provided with a generation unit.

In the hazard map generation method according to the second aspect, when a disaster occurs, among the posted information related to the disaster posted by a plurality of users, the location information, the pre-registered information indicating the danger, and the safety. The post information including any of a plurality of keywords including the information indicating the above, and the post information indicated by the post information in each of the acquired post information based on the keywords included in the acquired post information. In addition to setting the impact level due to the disaster, each of the acquired posted information is classified into one of a plurality of predetermined areas based on the location information included in the acquired posted information, and each area is classified. , The impact level of the entire area is determined based on the impact level set in the posted information classified into the area, and for each area, is the area dangerous based on the impact level of the entire area? This is a hazard map generation method in an information processing apparatus, which determines whether or not a hazard map is generated by superimposing the influence level of the entire area on map information for an area determined to be dangerous.

In the program according to the third aspect, when a disaster occurs, among the posted information related to the disaster posted by a plurality of users, location information, pre-registered information indicating danger and information indicating safety are provided. The disaster indicated by the post information in each of the acquired post information based on the step of acquiring the post information including, and the keyword included in the acquired post information. A step to classify each of the acquired post information into one of a plurality of predetermined areas based on the location information included in the acquired post information, and a step for each area. In addition, the step of determining the impact level of the entire area based on the impact level set in the posted information classified into the area, and the danger of the area based on the impact level of the entire area for each area. A program that causes a computer to execute a step of determining whether or not a disaster is present, and a step of superimposing the impact level of the entire area on map information to generate a hazard map for an area determined to be dangerous. Is.

According to the above aspect, it is possible to create a hazard map using SNS information.

It is a block diagram which shows the structural example of the information processing apparatus which concerns on the outline of embodiment. It is a schematic block diagram which shows the structural example of the information processing system which concerns on Embodiment 1. FIG. It is a figure which shows an example of a disaster information table. It is a figure which shows an example of a place information table. It is a figure which shows an example of a keyword table. It is a figure explaining the concept of the decision processing performed by the decision part in Embodiment 1. FIG. It is a figure explaining the concept of the decision processing performed by the decision part in Embodiment 1. FIG. It is a figure explaining the concept of the decision processing performed by the decision part in Embodiment 1. FIG. It is a figure which shows an example of the generated hazard map. It is a flowchart explaining the operation example of the information processing apparatus which concerns on Embodiment 1. FIG. It is a figure which showed the concept of the processing performed by the processing unit which concerns on Embodiment 2. FIG. It is a figure explaining the hazard map generated by the generation part which concerns on Embodiment 2. FIG. It is a flowchart explaining the operation example of the information processing apparatus which concerns on Embodiment 2. It is a flowchart explaining the operation example of the information processing apparatus which concerns on Embodiment 2. It is a schematic block diagram which shows the structural example of the information processing system which concerns on Embodiment 3. FIG. It is a figure which shows an example of a time information table. It is a flowchart explaining the operation example of the information processing apparatus which concerns on Embodiment 3. FIG. It is a schematic block diagram which shows the structural example of the information processing apparatus which concerns on other embodiment.

Hereinafter, embodiments will be described with reference to the drawings. In the embodiment, the same elements are designated by the same reference numerals, and duplicate explanations are omitted.
(Outline of embodiment)
First, an outline of the embodiment will be described prior to the embodiment. The information processing apparatus 10 according to the outline of the embodiment will be described with reference to FIG. FIG. 1 is a block diagram showing a configuration example of an information processing apparatus according to an outline of an embodiment.

The information processing device 10 may be, for example, an information processing device such as an SNS server, a server that provides a hazard map, or an SNS server that provides a hazard map. Alternatively, the information processing device 10 may be a mobile phone terminal, a smartphone terminal, a tablet terminal, a personal computer device, or the like. The information processing apparatus 10 includes an acquisition unit 11, a processing unit 12, a determination unit 13, a determination unit 14, and a generation unit 15.

When a disaster occurs, the acquisition unit 11 includes a plurality of post information related to the disaster posted by a plurality of users, including location information, pre-registered information indicating danger, and information indicating safety. Get post information that includes one of the keywords. The posted information may be posted information (SNS information) posted by the user in an SNS such as Twitter or Facebook.

The place information may be a specific place name, a building name, or information indicating a city / ward / town / village name.
The plurality of keywords are information including information indicating danger and information indicating safety. The keyword is information registered in advance and is information on whether the posted content is dangerous information or safety information. Keywords can also be said to be information that serves as a reference for determining whether the posted content is dangerous information or safety information. In addition, the keyword can be said to be information that can be inferred whether the place or position indicated by the place information included in the posted information is dangerous or safe due to a disaster. Keywords are, for example, "danger", "dangerous", "bad", "keep away", "evacuation", "safety", "OK", "OK", "nothing is happening", "safe", etc. It may be the information of.

The acquisition unit 11 may directly acquire post information related to a disaster including location information, keywords, and disasters from a plurality of users, or from an SNS server in which post information posted by a plurality of users is collected. You may get it.

The processing unit 12 sets the disaster impact level indicated by the posted information in each of the acquired posted information based on the keywords included in the acquired posted information. Further, the processing unit 12 classifies each of the acquired posted information into one of a plurality of predetermined areas based on the location information included in the acquired posted information.

The processing unit 12 sets the impact level due to the disaster in each of the acquired posted information based on the correspondence relationship between the keyword and the impact level registered in advance. The influence level may be, for example, 3 levels of high, medium, and low, or 10 levels.

The processing unit 12 classifies each of the acquired posted information into one of a plurality of predetermined areas based on the correspondence between the pre-registered location information and the area information.

The predetermined area may be, for example, an area in units of "city" such as Yokohama City or Kawasaki City, or an area in units of "ward, town, or village". Alternatively, the predetermined area may be an area divided by a predetermined distance based on the disaster location. Alternatively, the predetermined area may be an area divided by a predetermined distance based on the place where the posted information is posted most among the posted information acquired by the acquisition unit 11.

The determination unit 13 determines the influence level of the entire area of the target area based on the influence level set for the posted information classified in the area for each area. The impact level of the entire area may be the average value or the median value of the impact level set in the classified post information. Alternatively, the impact level of the entire area may be determined by further classifying the classified post information into two according to a predetermined criterion and using the impact level of the classified post information.

The determination unit 14 determines whether or not the area is dangerous for each area based on the influence level of the entire area of the area. The determination unit 14 may determine that the target area is dangerous when the influence level of the entire area is equal to or higher than a predetermined threshold value.

The generation unit 15 generates a hazard map by superimposing the influence level of the entire area on the map information for the area determined by the determination unit 14 to be dangerous. The generation unit 15 may generate a hazard map by setting the influence level of the entire area of the area determined by the determination unit 14 to be dangerous in the map information stored in advance. Alternatively, the generation unit 15 may acquire a hazard map from a server that provides the hazard map, and may generate the hazard map by superimposing the influence level of the entire area on the acquired hazard map.

As described above, the information processing apparatus 10 according to the outline of the embodiment acquires the posted information related to the disaster, and sets the influence level due to the disaster to each of the acquired posted information. The information processing apparatus 10 determines the influence level of the entire area based on the influence level set for each posted information. This makes it possible to create data for reflecting the acquired post information on the hazard map.

Further, the information processing apparatus 10 determines whether or not the area is dangerous based on the influence level of the entire area, and creates a hazard map in which the influence level of the entire area of the dangerous area is superimposed on the map information. do. Since the hazard map sets the predicted damage situation at the time of disaster only for dangerous areas, by doing the above, disaster information can be obtained only for dangerous areas like the general current hazard map. It will be possible to provide. Therefore, according to the outline of the embodiment, it is possible to create a hazard map using SNS information.

(Embodiment 1)
Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The first embodiment is an embodiment in which the outline of the embodiment is detailed.

The information processing system 100 according to the first embodiment will be described with reference to FIG. FIG. 2 is a schematic configuration diagram showing a configuration example of the information processing system according to the first embodiment. The information processing system 100 includes a disaster information providing server 20, an SNS server 21, a hazard map providing server 22, an information processing device 40, and a communication terminal 50.

The disaster information providing server 20 is, for example, a server installed in a government office such as the Japan Meteorological Agency or a municipality, and is a server that provides disaster information in the event of a disaster. The disaster information providing server 20 connects to the information processing device 40 via the Internet 30. The disaster information providing server 20 may be connected to the SNS server 21 and the hazard map providing server 22 via the Internet 30.

When a disaster occurs, the disaster information providing server 20 distributes disaster information including a disaster type, a disaster occurrence location, a disaster occurrence date and time, a disaster scale, and the like. The disaster information providing server 20 may distribute other information in addition to the above information, or may distribute only a part of the above information.

The SNS server 21 is, for example, a server that collects SNS information such as Twitter and Facebook, and collects posted information from a plurality of users who are subscribed to the SNS. The SNS server 21 connects to the information processing device 40 via the Internet 30. The posted information may be text data, image data, moving image data, audio data, or may be a combination of the above information such as text data and image data, text data and moving image data.

The SNS server 21 provides the collected posted information to other users who have subscribed to the SNS. That is, the user who subscribes to the SNS can view the posted information posted by another user. In the following description, the SNS server 21 will be described as a server that provides SNS information by Twitter. In Twitter, posted information may be referred to as so-called "tweet" or "tweet", so in the following explanation, posted information may be referred to as "tweet" or "tweet". ..

The hazard map providing server 22 is, for example, a server installed in a city, ward, town, or village, and is a server that provides a general current hazard map created based on past damage information. The hazard map providing server 22 connects to the information processing device 40 via the Internet 30.

The communication terminal 50 is a communication device capable of receiving a hazard map generated by the information processing device 40 and displaying the received hazard map. The communication terminal 50 may be, for example, a communication device such as a mobile phone terminal, a smartphone terminal, a tablet terminal, or a personal computer device. Although only one communication terminal 50 is shown in FIG. 2, a plurality of communication terminals 50 may be provided.

The information processing device 40 is a device corresponding to the information processing device 10 in the outline of the embodiment. The information processing apparatus 40 includes an acquisition unit 41, a storage unit 42, a processing unit 43, a determination unit 44, a determination unit 45, a generation unit 46, a distribution unit 47, and a display unit 48.

The acquisition unit 41 corresponds to the acquisition unit 11 in the outline of the embodiment. The acquisition unit 41 connects to the disaster information providing server 20, the SNS server 21, and the hazard map providing server 22 via the Internet 30. The acquisition unit 41 can be said to be a communication unit because it connects and communicates with other devices. When a disaster occurs, the acquisition unit 41 acquires disaster information from the disaster information providing server 20. Further, the acquisition unit 41 acquires a general current hazard map from the hazard map providing server 22.

Further, when a disaster occurs, the acquisition unit 41 acquires the posted information including the location information, the keyword, and the posted information related to the disaster among the posted information posted on the SNS server 21. do. That is, the acquisition unit 41 collects only the tweets related to the disaster currently occurring from the tweets posted by the users who have subscribed to the SNS via the Internet. The acquisition unit 41 determines and acquires the posted information to be acquired by performing natural language processing such as morphological analysis on the text data included in the posted information.

The acquisition unit 41 should acquire by referring to the disaster information table T1 in which information related to the disaster is set, the location information table T2 in which the location information is set, and the keyword table T3 in which the keyword is set. Determine and acquire posted information.

Here, an example of the disaster information table T1 will be described with reference to FIG. FIG. 3 is a diagram showing an example of a disaster information table. The disaster information table T1 is a table for associating and registering a disaster that has occurred and related disaster information indicating a disaster that may occur at the same time after the disaster that has occurred. A disaster type and related disaster information are set in the disaster information table T1.

The type of disaster is set in the disaster type. In the example shown in FIG. 3, "earthquake", "volcanic eruption", "heavy rain", and "fire" are set as disaster types.
In the related disaster information, information on related disasters that can occur at the same time after the disaster indicated by the disaster type set in the same line occurs is set. In the example shown in FIG. 3, for example, when the disaster type is "earthquake", "tsunami", "fire", and "fire" can occur at the same time after the earthquake, so "tsunami" is added to "earthquake". , "Fire", "Fire" are set. As a matter of course, since the disaster type and related disaster information shown in FIG. 3 are examples, other disaster types and related disaster information may be set.

Next, an example of the location information table T2 will be described with reference to FIG. FIG. 4 is a diagram showing an example of a location information table. In the place information table T2, the place information whose position can be specified and the area information indicating which area the place information belongs to are registered in association with each other.

As the place information, for example, information capable of specifying a position such as an address, a landmark information, and a place name is registered. In the example shown in FIG. 4, "A station", "B station", "C station", and "D tower" are set as the location information. As a matter of course, other information may be registered in the place information.

The area information is set to the area information indicating which area the place information set in the same line belongs to. In the example shown in FIG. 4, the area information is described as the information of the area of each town, and it is shown that "A station" belongs to the "a town" area. As a matter of course, the area information may be set to a wider area than the town unit such as a city unit, or may be set to a narrower area than the town unit, instead of the area of the town unit. .. Alternatively, the area information may be set to an area arbitrarily determined by the administrator of the information processing apparatus 40, instead of the town or city unit.

Next, an example of the keyword table T3 will be described with reference to FIG. FIG. 5 is a diagram showing an example of a keyword table. The keyword table T3 is a table for associating and registering a keyword relating to whether the posted content is dangerous information or safety information and an impact level estimated by a disaster that has occurred. A keyword and an influence level are set in the keyword table T3.

A plurality of information including information indicating danger and information indicating safety are set as the keyword, which is information registered in advance. Information regarding whether the posted content is dangerous information or safety information is set in the keyword. It can be said that the keyword is set with information that serves as a reference for determining whether the posted content is dangerous information or safety information. In addition, it can be said that the keyword is set with information that can be inferred whether the place or position indicated by the place information included in the posted information is dangerous or safe due to a disaster. In the example shown in FIG. 5, the keywords include, for example, "safety", "OK", "OK", "safe", "don't worry", "damage", "shaking", "approaching", and "danger". , "Dangerous", "evacuation", "dangerous", "emergency" and other information are set.

The impact level is set to the impact level associated with the keyword and indicates the degree of danger estimated by the disaster. In the present embodiment, the impact level is represented by 10 levels, and the larger the number, the higher the impact level due to the disaster. In the example shown in FIG. 5, it is shown that the influence level “1” is set for “safety” and the influence level “2” is set for “calm”. As a matter of course, since the keyword and the influence level shown in FIG. 5 are examples, other keywords may be registered or the influence level associated with the keyword may be different.

Here, an example of the posted information acquired by the acquisition unit 41 will be described with reference to FIGS. 3 to 5. For example, suppose that the posted information includes posted information such as "The building of station A collapsed due to the previous earthquake and it is dangerous" and "I am in the D tower now, but it is safe even if the earthquake 10 minutes ago". Since the information "earthquake" is included in the related disaster information of the disaster information table T1, the acquisition unit 41 determines that the posted information regarding the disaster is included. Further, since the information "A station" and "D tower" is included in the location information of the location information table T2, the acquisition unit 41 determines that the posting information includes the location information. Further, since the information "danger" and "safety" are included in the keywords of the keyword table T3, the acquisition unit 41 determines that the posted information includes the keywords. Therefore, the acquisition unit 41 should acquire the above-mentioned posted information that "the building of station A collapses due to the previous earthquake and is dangerous" and "I am in the D tower now, but it is safe even in the earthquake 10 minutes ago". And get it.

If the posted information includes the current position information of the poster, which is called a GEO tag, the acquisition unit 41 determines that the posted information includes the location information, and uses the location information indicated by the GEO tag as the location. It may be information.
Further, it is assumed that the same user posts a plurality of posted information. In this case, the acquisition unit 41 may acquire one of the plurality of posted information of the same user. This is because if all of the plurality of posted information from the same user is used, it is assumed that the content indicated by the posted information may be biased. Further, the acquisition unit 41 may periodically acquire the posted information including the location information and the keyword among the posted information related to the disaster posted by a plurality of users after the disaster occurs. ..

Next, returning to FIG. 2, the storage unit 42 will be described. The storage unit 42 stores the disaster information table T1, the location information table T2, and the keyword table T3. Further, the storage unit 42 stores the hazard map acquired by the acquisition unit 41 from the hazard map providing server 22. Then, the storage unit 42 classifies the posted information acquired by the processing unit 43 from various viewpoints, and stores the listed data (posted information).

Next, the processing unit 43 will be described. The processing unit 43 corresponds to the processing unit 12 in the outline of the embodiment. The processing unit 43 sets the disaster impact level indicated by the posted information in each of the acquired posted information based on the keywords included in the posted information acquired by the acquisition unit 41. Specifically, the processing unit 43 searches the keyword table T3 for keywords that match the keywords included in each of the acquired post information, and determines the influence level associated with the searched keywords in the acquired post information. Set each of these as the level of impact caused by the disaster.

For example, if the posted information is "dangerous because the building of station A collapses due to the previous earthquake", referring to the keyword table T3, the impact level corresponding to "danger" is "7", so the posted information. Set the influence level 7 to. Also, if the posted information is "I am in the D tower now, but it is safe even in the earthquake 10 minutes ago", referring to the keyword table T3, the impact level corresponding to "safety" is "1". , Set the impact level 1 for the posted information. It is assumed that the posted information contains a plurality of keywords, but in this case, even if the processing unit 43 sets the highest impact level among the impact levels corresponding to each of the plurality of keywords. Alternatively, the lowest impact level may be set. Alternatively, the processing unit 43 may set the median value or the average value of the influence level corresponding to each of the plurality of keywords.

Further, the processing unit 43 classifies each of the acquired posted information into one of a plurality of predetermined areas based on the location information included in the acquired posted information. Specifically, the processing unit 43 searches the place information table T2 for the place information that matches the place information included in each of the acquired posted information, and identifies the area information associated with the searched place information. do. The processing unit 43 classifies each of the acquired posted information into the specified area. In the following description, it is assumed that the predetermined area is an area of "town" unit.

For example, if the posted information is "dangerous because the building of station A collapses due to the previous earthquake", the area information corresponding to "station A" is the "town a" area in the location information table T2. Therefore, the processing unit 43 classifies the posted information into the "a town" area. In addition, for example, it is assumed that the place information included in the acquired posted information is the place information indicating an area larger than the classified area (“town” unit) such as “K city”. In this case, the processing unit 43 may replace "K city", which is the location information included in the posted information, with "K station", which is a representative station of "K city". Alternatively, the processing unit 43 may replace "K city", which is the location information included in the posted information, with "K city hall" where the city hall of "K city" exists or an address where K city hall exists.

The processing unit 43 classifies and lists the posted information according to the type of posted information, such as posted information including images, posted information including videos, and posted information including text, with respect to the posted information acquired by the acquisition unit 41. To become. Further, the processing unit 43 classifies and lists the posted information such as the posted information for each date, the posted information for each hour, the posted information for each area, and the posted information for each impact level. The processing unit 43 stores the posted information classified as described above in the storage unit 42. In this way, if the posted information is classified in advance from various viewpoints, the processing time when processing the posted information can be shortened.

Next, the determination unit 44 will be described. The determination unit 44 corresponds to the determination unit 13 relating to the outline of the embodiment. The determination unit 44 determines the influence level of the entire area based on the influence level set for the posted information classified in the area for each area.

Specifically, the determination unit 44 determines the posting information having an influence level of 1 to 5 and the posting having an influence level of 6 to 10 among the influence levels set in the posting information classified into the area for each area. Classify into information and. That is, the determination unit 44 classifies the posted information having an influence level of 1 to 5 and the posted information having an influence level of 6 to 10, with the classification threshold value set to 5. It can be said that the posted information of the impact level 1 to 5 is the posted information indicating that the degree of impact due to the disaster is low and it is safe. In addition, the posted information with impact levels 6 to 10 can be said to be posted information indicating that the degree of impact due to a disaster is high and dangerous. Therefore, the determination unit 44 classifies the posted information indicating that it is safe and the posted information indicating that it is dangerous. In the following description, posted information having an impact level of 1 to 5 may be referred to as "safety tweet", and posted information having an impact level of 6 to 10 may be referred to as "danger tweet". Further, in the following description, the classification threshold value is set to 5, but it may be a value that can be appropriately changed by the administrator of the information processing apparatus 40.

Next, the determination unit 44 calculates the average value of the influence level of the safety tweet and the average value of the influence level of the danger tweet for each area. The determination unit 44 determines the difference between the average value of the impact level of the safety tweet and the average value of the impact level of the dangerous tweet as the impact level due to the disaster in the entire area of this area. In the following description, the difference between the average value of the effect level of the safety tweet and the average value of the effect level of the dangerous tweet may be referred to as "difference effect level".

Here, with reference to FIGS. 6 to 8, the concept of the determination process for determining the influence level of the entire area performed by the determination unit 44 will be described. 6 to 8 are diagrams for explaining the concept of the determination process performed by the determination unit in the first embodiment.

FIG. 6 is a diagram showing a state before the determination unit 44 performs the determination process, and is a state after the processing unit 43 sets the influence level for each posted information and classifies the information into a plurality of areas. Further, FIG. 6 shows the posting information of a certain area among the plurality of classified areas. Suppose there are 50 tweets of posted information (tweets) classified in an area. The circles shown in FIG. 6 are each tweet and represent a part of 50 tweets. In addition, the "shadow X (integer of X: 1 or more)" written in each circle indicates the impact level due to the disaster set for each tweet, and the larger the impact level number, the more posted information. Has a high degree of danger.

FIG. 7 shows the state after the determination unit 44 classifies the safety tweet and the danger tweet in the state of FIG. As shown in FIG. 7, of the 50 tweets classified into a certain area, the safety tweet is 10 tweets and the dangerous tweet is 40 tweets.

FIG. 8 shows a state in which the determination unit 44 calculates the average value of the influence level of the safety tweet, the average value of the influence level of the danger tweet, and the difference influence level thereof. As shown in FIG. 8, if the average value of the influence level of the safety tweet is 2.8 and the average value of the influence level of the danger tweet is 6.8, the difference influence level is 4. The determination unit 44 determines the difference influence level "4" as the influence level of the entire area.

Since users who subscribe to SNS can post posted information based on subjectivity, for example, it is possible to post past events, and postings that are different from objective facts. It is also possible that you are doing this. Therefore, the determination unit 44 may determine the influence level of the entire area when the number of posted information for each classified area is, for example, 50 or more per unit time. By doing so, the determination unit 44 can set the influence level of the entire area based on more objective information.

Further, the determination unit 44 may determine that an urgent disaster has occurred when the number of posted information in a certain area is a predetermined value (for example, 50) or more per unit time (for example, 1 minute). .. In this case, the determination unit 44 may set the influence level of the entire area for this area and instruct the generation unit 46 to generate the hazard map immediately. Further, in this case, for example, the generation unit 46 may be instructed to generate a hazard map every 5 minutes.

On the other hand, if the posted information in a certain area is less than a predetermined value (for example, 50 pieces) per unit time (for example, 1 minute), the determination unit 44 may determine that urgency is not required. In this case, the determination unit 44 may set the influence level of the entire area when tweets of a predetermined value or more are collected.

Next, the determination unit 45 will be described. The determination unit 45 corresponds to the determination unit 14 according to the outline of the embodiment. The determination unit 45 determines whether or not the area is dangerous for each area based on the influence level of the entire area of the area. Specifically, when the influence level of the entire area is equal to or higher than the determination threshold value, the determination unit 45 determines whether or not the area is dangerous. For example, as shown in FIG. 8, it is assumed that the determination unit 44 determines the influence level of the entire area to be 4. Then, when the determination threshold value is 4, the determination unit 45 determines that the area is dangerous.

Next, the generation unit 46 will be described. The generation unit 46 corresponds to the generation unit 15 according to the outline of the embodiment. The generation unit 46 generates a hazard map by superimposing the influence level of the entire area on the map information for the area determined by the determination unit 45 to be dangerous. Specifically, the generation unit 46 superimposes the influence level of the entire area on the area determined by the determination unit 45 as dangerous on the hazard map acquired by the acquisition unit 41 from the hazard map providing server 22 to generate a hazard map. Generate.

Here, an example of the hazard map generated by the generation unit 46 will be described with reference to FIG. 9. FIG. 9 is a diagram showing an example of the generated hazard map. As shown in FIG. 9, it is assumed that the predetermined areas are the a town area including the A station, the b town area including the B station, and the c town area including the C station and the D tower. Further, the determination unit 44 sets the influence level of the entire area of the a town area to 5, the influence level of the entire area of the b town area to 6, and the influence level of the entire area of the c town area to 4, and the judgment unit 45 sets all of them. Suppose the area is determined to be dangerous. In this case, as shown in FIG. 9, the generation unit 46 draws the hazard so that the user who uses the hazard map visually understands the same image expression for the same influence level. Generate a map. The generation unit 46 may generate a hazard map by displaying the difference influence degree as a numerical value in the map information, or may predetermine a color corresponding to the magnitude of the difference influence level and determine the difference influence level. May be displayed in color. Alternatively, the generation unit 46 may generate the hazard map by setting the map information in the X-axis-Y-axis plane and making the magnitude of the difference influence level correspond to the value in the Z-axis direction.

For example, if the acquisition unit 41 no longer acquires disaster information from the disaster information providing server 20, or if it no longer acquires posted information related to the disaster, the disaster in this area will be calmed down and no urgency is required. You may judge that. In this case, the generation unit 46 may delete the information regarding the influence level of the entire area set by superimposing it on the map information. That is, the generation unit 46 may use a general current hazard map generated by adding information from a fixed-point camera or a local government as a hazard map to be generated.

Returning to FIG. 2, the distribution unit 47 will be described. The distribution unit 47 distributes the hazard map generated by the generation unit 46 to the communication terminal 50. Since the distribution unit 47 communicates with the communication terminal 50, it can be said to be a communication unit.
The display unit 48 is a display capable of displaying the hazard map generated by the generation unit 46.

Subsequently, an operation example performed by the information processing apparatus 40 will be described with reference to FIG. FIG. 10 is a flowchart illustrating an operation example of the information processing apparatus according to the first embodiment. FIG. 10 is carried out periodically in the event of a disaster and after a disaster has occurred.

First, the posted information about the disaster including the place information and the keyword is acquired (step S1). Specifically, the acquisition unit 41 extracts the posted information including the information registered in the related disaster information of the disaster information table T1 from the plurality of posted information. Further, the acquisition unit 41 acquires the location information registered in the location information of the location information table T2 and the posting information including the keywords registered in the keywords of the keyword table T3.

Next, for each of the acquired posted information, an influence level indicating the degree of influence due to the disaster that has occurred is set (step S2). Specifically, the processing unit 43 refers to the keyword table T3, acquires the influence level corresponding to the keyword included in each of the acquired posted information from the keyword table T3, and affects each of the acquired posted information. Set the level.

Next, each of the acquired posted information is classified into one of a plurality of predetermined areas (step S3). Specifically, the processing unit 43 refers to the place information table T2, acquires the area information corresponding to the place information included in each of the acquired posted information, and converts each of the acquired posted information into the area information. Classify into the set area.

Next, the posted information is classified by data type and stored for each classified data type (step S4). Specifically, the processing unit 43 refers to the posted information acquired by the acquisition unit 41 according to the type of posted information, such as posted information including an image, posted information including a video, and posted information including text. Are classified and listed. Further, the processing unit 43 classifies and lists the posted information such as the posted information for each date, the posted information for each hour, the posted information for each area, and the posted information for each impact level. The processing unit 43 stores the posted information classified as described above in the storage unit 42.

Next, steps S5 to S7 are executed for each area classified in step S3. As step S5, the impact level due to the disaster in the entire area is set based on the impact level set for the classified posted information (step S5). Specifically, the determination unit 44 compares the influence level set for the classified post information with the classification threshold value, and classifies the post information below the classification threshold value and the post information above the classification threshold value. .. The determination unit 44 calculates the difference influence level between the average value of the influence level of the posted information below the classification threshold and the average value of the influence level of the posted information above the classification threshold, and determines it as the influence level of the entire area. ..

Next, it is determined whether or not the area is dangerous based on the comparison between the influence level of the entire area and the determination threshold value (step S6). Specifically, the determination unit 45 determines that this area is a dangerous area when the influence level of the entire area is equal to or higher than the determination threshold value, and when it is less than the determination threshold value, this area is not a dangerous area. Is determined.

If it is determined in step S6 that the area is dangerous (YES in step S6), the influence level of the entire area of the area is set in the general current hazard map provided by the hazard map providing server 22 (step S7). ). Specifically, when the influence level of the entire area is equal to or higher than the determination threshold value (YES in step S6), the generation unit 46 affects the entire area on the general current hazard map acquired from the hazard map providing server 22. The levels are superimposed (step S7).

On the other hand, in step S6, when the influence level of the entire area is less than the determination threshold value, that is, when it is determined that the area is not a dangerous area (NO in step S6), steps S5 to S7 for the next area. To execute.

After executing the above steps S5 to S7 for all areas, the generation unit 46 generates a hazard map (step S8).

Distribute and display the generated hazard map (step S9). The distribution unit 47 distributes the generated hazard map to the communication terminal 50. In addition, the display unit 48 displays the generated hazard map.

As described above, according to the information processing apparatus 40 according to the first embodiment, the posted information related to the disaster is acquired, and the influence level due to the disaster is set for each of the acquired posted information. The information processing apparatus 40 determines the influence level of the entire area based on the influence level set for each posted information. The information processing apparatus 40 determines whether or not the area is dangerous based on the influence level of the entire area, and creates a hazard map in which the influence level of the entire area of the dangerous area is superimposed on the map information. Therefore, according to the first embodiment, it is possible to create a hazard map using SNS information.

Further, in the present embodiment, a general current hazard map is acquired from the hazard map providing server 22, and a new hazard map is created by superimposing the influence level of the entire area determined from the SNS information on the general current hazard map. It becomes possible to generate. Therefore, it is possible to add a further amount of information to a general current hazard map. Therefore, the hazard map generated by the information processing apparatus 40 according to the present embodiment makes it possible to provide a hazard map that is more utilized than before.

(Embodiment 2)
Subsequently, the second embodiment will be described. The second embodiment is an improved example of the first embodiment. In the present embodiment, it is an object of the present invention to specify as a landmark the position where the number of posted information is the largest in the area in the first embodiment.

Since the information processing system according to the second embodiment is the same as that of the first embodiment, the description thereof is omitted. Further, since the configuration example of the information processing apparatus 40 according to the second embodiment is basically the same as that of the first embodiment, only the difference from the first embodiment will be described with reference to FIG. The information processing apparatus 40 according to the second embodiment will be described. The information processing apparatus 40 according to the second embodiment has a different configuration of the processing unit 43, the determination unit 44, and the determination unit 45.

In addition to the configuration of the processing unit 43 according to the first embodiment, the processing unit 43 specifies the position indicated by the location information having the largest number of posted information in the area from the posted information for each classified area. The place with the most posted information is generally considered to be a large city in the area. Therefore, in the present embodiment, the processing unit 43 specifies the place where the number of posted information is the largest, and the position indicated by the specified place is specified as a landmark in the area classified in the first embodiment. For convenience of explanation, the area classified by the processing unit 43 according to the first embodiment will be described as the first area.

Specifically, the processing unit 43 classifies each of the posted information acquired by the acquisition unit 41 into a plurality of first areas, and then determines the number of location information included in the posted information for each first area. Count and identify the location indicated by the location information with the most posted information. Further, the processing unit 43 calculates the distance between the position indicated by the place information included in the acquired posted information and the position indicated by the place information having the largest number of posted information for each first area. Then, the processing unit 43 divides each of the acquired posted information into a plurality of second units at predetermined distances based on the position indicated by the location information having the largest number of posted information based on the calculated distance. Classify into areas. In the present embodiment, the description will be given with a predetermined distance of 2 km. As a matter of course, the predetermined distance may be, for example, 50 m or another value.

Here, the concept of the processing performed by the processing unit 43 will be described with reference to FIG. FIG. 11 is a diagram showing a concept of processing performed by the processing unit according to the present embodiment. The processing unit 43 classifies the acquired post information into the a town area and the b town area (first area) in FIG. 11.

Next, the processing unit 43 identifies the position indicated by the place information having the largest number of posted information from the posted information classified into the a town area and the b town area. In FIG. 11, among the posted information in the a town area, the number of posted information with the A station as the location information was the largest, and among the posted information in the b town area, the number of posted information with the B station as the location information was the largest. do. Then, the processing unit 43 identifies the A station and the B station. Then, the processing unit 43 calculates the distance between the position indicated by the location information included in each of the acquired posted information and the stations A and B.

Next, the processing unit 43 classifies each of the acquired posted information into one of a plurality of areas (second areas) divided by a predetermined distance based on the calculated distance. The dotted line shown in FIG. 11 is a line representing an area boundary every 2 km with respect to station A. The alternate long and short dash line is a line that represents the area boundary every 2 km with respect to station B. For example, assuming that the position indicated by the location information included in the posted information T is the position shown in FIG. 11 and the distance from the station A is 3 km, the processing unit 43 classifies the posted information T into an area of 2 km to 4 km. do.

Returning to FIG. 2, the determination unit 44 will be described. In the first embodiment, the determination unit 44 calculates the influence level of the entire area of the first area for each first area. In the present embodiment, the determination unit 44 determines the influence level of the entire area of the second area for each second area. The determination unit 44 omits the description in order to determine the influence level of the entire area for each second area as in the first embodiment.

Next, the determination unit 45 will be described. In the first embodiment, the determination unit 45 determines whether or not it is a dangerous area for each first area based on the influence level of the entire area of the first area. In the present embodiment, the determination unit 45 determines whether or not it is a dangerous area for each second area based on the influence level of the entire second area. The determination unit 45 omits the description in order to determine whether or not it is a dangerous area as in the first embodiment.

Next, using FIG. 12, an example of the hazard map generated by the generation unit 46 is shown. FIG. 12 is a diagram illustrating a hazard map generated by the generation unit according to the present embodiment. The configuration of the generation unit 46 according to the present embodiment is the same as that of the generation unit 46 according to the first embodiment. However, since the generated hazard map is different, the hazard map generated by the generation unit 46 will be described.

As shown in FIG. 12, the generation unit 46 is among a plurality of areas (second area) every 2 km based on "A station" having the largest number of posted information in the a town area (first area). A hazard map is generated by setting the impact level of the entire area for the area determined to be a dangerous area. Similarly, the generation unit 46 determines that it is a dangerous area among a plurality of areas (second area) every 2 km based on "B station" which has the largest number of posted information in the b town area (first area). Generate a hazard map that sets the impact level of the entire area for the specified area. Then, the generation unit 46 generates a hazard map in which both hazard maps are combined as the final hazard map.

As shown in FIG. 12, the area hatched by the horizontal line indicates that the influence level is 7, and the area hatched by the vertical line indicates that the influence level is 6. Areas hatched with dots indicate an impact level of 5. The area shown by the dotted diagonal line indicates the area where the influence level is 4. The area without hatching indicates that the area is determined by the determination unit 45 to be not a dangerous area.

It is assumed that the influence level is 7 in the area of 0 km to 2 km based on the station A. It is assumed that the influence level is 6 in the area of 2 km to 4 km based on the station A. It is assumed that the influence level is 5 in the area of 4 km to 6 km based on the station A. It is assumed that the determination unit 45 determines that it is not dangerous after 6 km based on the station A. Then, as shown in FIG. 12, for each 2 km area, the influence level of the entire area determined by the determination unit 44 is set for the area determined to be dangerous by the determination unit 45.

Similarly, it is assumed that the influence level is 4 in the area of 0 km to 2 km with reference to station B. It is assumed that the influence level is 5 in the area of 2 km to 4 km with reference to station b. It is assumed that the determination unit 45 determines that it is not dangerous after 4 km based on the station b. Then, as shown in FIG. 12, for each 2 km area, the influence level of the entire area determined by the determination unit 44 is set for the area determined to be dangerous by the determination unit 45.

In the example shown in FIG. 12, the influence level of the area of 0 km to 2 km based on the station A is higher than the influence level of the area of 0 km to 2 km based on the station B. Therefore, the user can determine that it is safer to evacuate to B station than to evacuate to A station.

In addition, in FIG. 12, among the areas of 2 km to 4 km based on station A, there is an area that overlaps with the area of 2 km to 4 km based on station B, and hatching occurs in the overlapping area. It is generated so that it overlaps. However, the influence of the area where the average value of the influence level of the area of 2km to 4km based on the A station and the influence level of the area of 2km to 4km based on the B station are overlapped with respect to the area. It may be a level.

Subsequently, an operation example of the information processing apparatus 40 according to the present embodiment will be described with reference to FIGS. 13A and 13B. 13A and 13B are flowcharts illustrating an operation example of the information processing apparatus according to the second embodiment. 13A and 13B basically correspond to FIG. Therefore, the process of performing the same operation as that of the first embodiment will be described by assigning the same reference number and omitting the description as appropriate. 13A and 13B are carried out periodically in the event of a disaster and after a disaster has occurred.

First, steps S1 to S4 shown in FIG. 13A are the same as those in the first embodiment. Since the area of the first embodiment is the first area, the classified area is described as the first area in step S3. The next operation of step S4 is shown in FIG. 13B.

In FIG. 13B, steps S11 to S16 are performed for each first area. Although the details will be described later, in steps S14 to S16, processing is further performed for each second area.

In step S11, the place information having the largest number of posted information is specified for each first area, and the position indicated by the place information is specified (step S11). Specifically, the processing unit 43 classifies the acquired posted information into each first area, counts the location information of the posted information in each first area, and identifies the location information having the largest number of posted information. do. The processing unit 43 specifies the position indicated by the location information. By performing this process, it becomes possible to determine a landmark in the first area.

Next, the distance from the position specified in step S11 is calculated using the location information included in each of the posted information acquired in step S1 and the position specified in step S11 (step S12). Specifically, the processing unit 43 specifies a position from the location information included in each of the posted information acquired in step S1, and calculates the distance from the position specified in step S11.

Next, each of the acquired posted information is classified into one of a plurality of second areas every 2 km from the calculated distance (step S13). Specifically, the processing unit 43 uses the distance calculated in step S12 for each of the acquired posted information to set the corresponding area out of a plurality of areas every 2 km with respect to the position specified in step S11. Classify.

Next, steps S14 to S16 are carried out for each of the second areas. Steps S14 to S16 are processes performed for each second area, but since they are the same as the processes of steps S5 to S7 in the first embodiment, detailed description thereof will be omitted. The generation unit 46 generates a hazard map for all the second areas (step S8). The distribution unit 47 distributes the generated hazard map to the communication terminal 50, and the display unit 48 displays the generated hazard map (step S9).

As described above, also in the present embodiment, basically, as in the first embodiment, the acquired posted information is classified into a predetermined area, and a hazard map in which the influence level is set for each area is generated. do. Therefore, according to the information processing apparatus 40 according to the present embodiment, it is possible to obtain the same effect as that of the first embodiment.

Further, in the present embodiment, the processing unit 43 specifies, as a landmark, the position indicated by the place information having the most posted information in the area (first area) in the first embodiment. Then, the processing unit 43 calculates the distance from the specified position from the place information set for each of the acquired posted information, and classifies the area according to the distance (second area). Here, in the first area, it is presumed that there are many people in the position indicated by the place information with the most posted information. The user can check the hazard map generated in the present embodiment and easily determine which landmark should be evacuated from among the plurality of landmarks. Therefore, the user can easily determine a safer landmark and can evacuate with peace of mind. Therefore, according to the present embodiment, it is possible to generate a hazard map that is easier for the user to use than in the first embodiment.

(Embodiment 3)
Subsequently, the third embodiment will be described. The third embodiment is an improved example of the first and second embodiments. Therefore, the description of the present embodiment will be described with reference to the first embodiment with different contents from the first embodiment. In the first embodiment, the acquisition unit 41 acquires the posted information including the place information and the keyword, but in the present embodiment, the acquisition unit 41 further acquires the posted information including the time information.

First, a configuration example of the information processing system 100 and the information processing apparatus 40 according to the third embodiment will be described with reference to FIG. FIG. 14 is a schematic configuration diagram showing a configuration example of the information processing system according to the third embodiment. The information processing system 100 according to the third embodiment is different only in the configuration of the information processing apparatus 40 from the information processing system 100 according to the first embodiment. Therefore, the description of the configuration example of the information processing system 100 according to the third embodiment will be omitted.

Next, a configuration example of the information processing apparatus 40 according to the present embodiment will be described. Since the configuration example of the information processing apparatus 40 according to the present embodiment is basically the same as that of the first embodiment, only the difference from the first embodiment will be described. In the information processing apparatus 40 according to the third embodiment, the storage unit 42 in the first embodiment is replaced with the storage unit 49. Further, the information processing apparatus 40 according to the third embodiment has a different configuration of the acquisition unit 41, the processing unit 43, and the generation unit 46.

The acquisition unit 41 acquires the posted information including the place information, the keyword, and the time information among the posted information related to the disaster. That is, as compared with the first embodiment, the acquisition unit 41 acquires the posting information including the time information. Specifically, the acquisition unit 41 refers to the time information table T4 and acquires the posted information including the time information registered in the time information table T4.

Here, the time information table T4 will be described with reference to FIG. The time information table T4 is a table for registering time information and estimated time / time information in association with each other.

As shown in FIG. 15, the time information includes posted information such as "Nau", "Now", "Soon", "Slightly before", "Today", "Yesterday", and "x o'clock". It is information that can estimate the date and time indicated by the posted information from the posted date and time.

The estimated time / time information is information associated with the time information, and is information for estimating when the posted information indicates from the time information. In the example shown in FIG. 15, if the time information is "Now, now", it can be estimated that the posted information indicates the information 10 minutes ago. Therefore, the estimated time / time information is "posted date and time". "10 minutes before" is set. If the time information is "a little while ago", it can be estimated that the posted information indicates the information one hour ago, so "one hour before the posting date and time" is set for the estimated time / time information. Has been done. If the time information is "today", "12:00 (pm0 o'clock) on the posting date" is registered in the estimated time / time information. If the time information is "yesterday", "12:00 (0:00 PM) on the day before the posting date" is set for the estimated time / time information. If the time information is "hh time", "hh time on the posting date" is set for the estimated time / time information. As a matter of course, the time information shown in FIG. 15 and the estimated time / time information are examples, and are not limited thereto. For example, the estimated time / time information may be set in seconds such as "hh hours mm minutes ss seconds of the posting date".

Returning to FIG. 14, the processing unit 43 will be described. The processing unit 43 estimates the date and time indicated by the posted information by using the time information included in the acquired posted information and the posted date and time of the acquired posted information. Further, the processing unit 43 extracts the posted information whose estimated date and time is included in the predetermined time from the present among the acquired posted information.

Specifically, the processing unit 43 searches the time information table T4 for time information that matches the time information included in the acquired posted information, and specifies the estimated time / time information associated with the searched time information. .. The processing unit 43 estimates the date and time indicated by the posted information by using the specified estimated time / time information and the posted date and time. Then, the processing unit 43 extracts the posted information whose estimated date and time is within a predetermined time such as within 3 hours from the present. As a matter of course, the predetermined time is not limited to 3 hours, and is a value that can be changed as appropriate.

Next, the generation unit 46 will be described. The generation unit 46 generates a hazard map for each time (for example, 3 hours) used by the processing unit 43 to extract specific post information. That is, the generation unit 46 always generates a hazard map using the latest information.

Next, the storage unit 49 will be described. The storage unit 49 stores the time information table T4 in addition to the configuration of the storage unit 42 in the first embodiment.

Subsequently, an operation example of the information processing apparatus 40 according to the present embodiment will be described with reference to FIG. FIG. 16 is a flowchart illustrating an operation example of the information processing apparatus according to the third embodiment. FIG. 16 basically corresponds to FIG. Therefore, the process of performing the same operation as that of the first embodiment will be described by assigning the same reference number and omitting the description as appropriate. FIG. 16 is carried out periodically in the event of a disaster and after a disaster has occurred.

First, the posted information about the disaster including the place information, the keyword, and the time information is acquired (step S21). Specifically, the acquisition unit 41 refers to the disaster information table T1, the place information table T2, the keyword table T3, and the time information table T4, and acquires the posted information about the disaster including the place information, the keyword, and the time information.

Next, the date and time indicated by the posted information is estimated, and the posted information within the predetermined time from the present is extracted (step S22). Specifically, the processing unit 43 refers to the time information table T4 and estimates the date and time indicated by the posted information by using the time information included in the posted information and the posted date and time of the posted information. Then, the processing unit 43 extracts the posted information within a predetermined time (for example, within 3 hours) from the present.

Next, steps S2 to S7 are executed. Since steps S2 to S7 are the same as the operation example described with reference to FIG. 10, the description thereof will be omitted.

After executing up to step S7, the generation unit 46 generates a hazard map every predetermined time (for example, every 3 hours) (step S23). The distribution unit 47 distributes the generated hazard map to the communication terminal 50, and the display unit 48 displays the generated hazard map (step S9).

As described above, since the present embodiment is basically the same as that of the first embodiment, it is possible to obtain the same effect as that of the first embodiment. Further, in the present embodiment, the acquisition unit 41 acquires the posting information including the time information, and the processing unit 43 estimates the date and time indicated by the posting information and extracts the posting information within the predetermined time. Then, the generation unit 46 generates a hazard map at predetermined time intervals. Therefore, according to the present embodiment, it is possible to generate a hazard map having real-time property in which the latest information is updated at predetermined time intervals. Therefore, according to the present embodiment, the user can appropriately evacuate using the hazard map that reflects newer information, so that the damage caused by the disaster can be minimized. Will be.

Although the above description has been made using the first embodiment, it can also be applied to the second embodiment. Therefore, according to the present embodiment, it is possible to obtain the same effect as that of the second embodiment.

(Modification example)
In the third embodiment, the processing unit 43 estimates the date and time indicated by the acquired post information, and extracts the post information in which the estimated date and time is included within a predetermined time from the acquired post information. However, the present invention is not limited to this, and the processing unit 43 may further classify the acquired posted information into the posted information at predetermined time intervals, for example, based on the estimated date and time. In this case, the determination unit 44 determines the influence level of the entire area at predetermined time intervals, and the determination unit 45 determines whether or not each of the classified areas is a dangerous area at predetermined time intervals. , The generation unit 46 generates a hazard map at predetermined time intervals. In this way, the user can browse the hazard map at predetermined time intervals. That is, the user can check the situation of the area to be evacuated in chronological order.

(Other embodiments)
FIG. 17 is a block diagram showing a configuration example of the information processing devices 10 and 40 (hereinafter, referred to as information processing device 10 and the like) described in the above-described embodiment. Referring to FIG. 17, the information processing apparatus 10 and the like include a network interface 1201, a processor 1202, and a memory 1203. The network interface 1201 is used to communicate with other network node devices constituting the communication system. The network interface 1201 may include, for example, an IEEE 802.3 series compliant network interface card (NIC).

The processor 1202 reads software (computer program) from the memory 1203 and executes it to perform processing of the information processing apparatus 10 and the like described by using the flowchart in the above-described embodiment. The processor 1202 may be, for example, a microprocessor, an MPU (Micro Processing Unit), or a CPU (Central Processing Unit). Processor 1202 may include a plurality of processors.

The memory 1203 is composed of a combination of a volatile memory and a non-volatile memory. Memory 1203 may include storage located away from processor 1202. In this case, processor 1202 may access memory 1203 via an I / O interface (not shown).

In the example of FIG. 17, memory 1203 is used to store software modules. By reading these software modules from the memory 1203 and executing the processor 1202, the processor 1202 can perform the processing of the information processing apparatus 10 and the like described in the above-described embodiment.

As described with reference to FIG. 17, each of the processors included in the information processing apparatus 10 and the like executes one or a plurality of programs including a set of instructions for causing a computer to perform the algorithm described with reference to the drawings.

In the above example, the program can be stored and supplied to the computer using various types of non-transitory computer readable medium. Non-temporary computer-readable media include various types of tangible storage media. Examples of non-temporary computer-readable media include magnetic recording media (eg, flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (eg, magneto-optical disks). Further, examples of non-temporary computer-readable media include CD-ROM (Read Only Memory), CD-R, and CD-R / W. Further, examples of non-temporary computer readable media include semiconductor memory. The semiconductor memory includes, for example, a mask ROM, a PROM (Programmable ROM), an EPROM (Erasable PROM), a flash ROM, and a RAM (Random Access Memory). The program may also be supplied to the computer by various types of transient computer readable medium. Examples of temporary computer readable media include electrical, optical, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.

The present disclosure is not limited to the above embodiment, and can be appropriately modified without departing from the spirit. Further, the present disclosure may be carried out by appropriately combining the respective embodiments.

In addition, some or all of the above embodiments may be described as in the following appendix, but are not limited to the following.
(Appendix 1)
In the event of a disaster, among the posted information related to the disaster posted by multiple users, one of a plurality of keywords including location information and pre-registered information indicating danger and information indicating safety. The acquisition department that acquires post information including,
Based on the keywords included in the acquired post information, the impact level due to the disaster indicated by the post information is set for each of the acquired post information, and the location information included in the acquired post information is used. Based on this, a processing unit that classifies each of the acquired posted information into one of a plurality of predetermined areas, and a processing unit.
For each area, a determination unit that determines the impact level of the entire area based on the impact level set in the posted information classified into the area.
For each area, a determination unit for determining whether or not the area is dangerous based on the influence level of the entire area,
An information processing device including a generation unit for generating a hazard map by superimposing the influence level of the entire area on map information for an area determined to be dangerous by the determination unit.
(Appendix 2)
The determination unit determines each of the posted information classified into the area for each area, the first posted information whose influence level is less than the first threshold value and the second posted information whose influence level is equal to or higher than the first threshold value. The information processing apparatus according to Appendix 1, which is classified into the posted information of the above and determines the influence level of the entire area based on the influence level of the first posted information and the influence level of the second posted information. ..
(Appendix 3)
The determination unit determines the difference influence level between the average value of the influence level of the first posted information and the average value of the influence level of the second posted information as the influence level of the entire area. The information processing device described in.
(Appendix 4)
The information processing apparatus according to any one of Supplementary note 1 to 3, wherein the determination unit determines that the area is dangerous when the influence level of the entire area is equal to or higher than the second threshold value.
(Appendix 5)
The area is the first area and
The processing unit identifies the place information having the largest number of posted information for each first area, and the first position indicated by the specified place information and the place information included in the acquired posted information are obtained. The distance between the second position shown was calculated, and each of the acquired posted information was divided into predetermined distances based on the first position based on the calculated distance. Classify into one of several second areas and
The determination unit determines the influence level of the entire area for each second area.
The information processing apparatus according to any one of Supplementary note 1 to 4, wherein the determination unit determines whether or not the second area is dangerous for each of the second areas.
(Appendix 6)
The acquisition unit acquires post information including time information, and
The processing unit estimates the date and time indicated by the posted information by using the time information included in the acquired posted information and the posted date and time of the acquired posted information, and among the acquired posted information, the processing unit estimates the date and time indicated by the posted information. Post information whose estimated date and time is included within a predetermined time from the present is extracted.
The information processing apparatus according to any one of Supplementary note 1 to 5, wherein the generation unit generates the hazard map at predetermined time intervals.
(Appendix 7)
The information processing apparatus according to any one of Supplementary note 1 to 6, further comprising a distribution unit that distributes the generated hazard map information to a communication terminal.
(Appendix 8)
Further, a management table for managing the keyword and the influence level in association with each other is provided.
The information processing apparatus according to any one of Supplementary note 1 to 7, wherein the processing unit sets the influence level for each of the acquired posted information by using the management table.
(Appendix 9)
The information processing apparatus according to any one of Supplementary note 1 to 8, further comprising a display unit for displaying the generated hazard map.
(Appendix 10)
In the event of a disaster, among the posted information related to the disaster posted by multiple users, one of a plurality of keywords including location information and pre-registered information indicating danger and information indicating safety. Get post information, including,
Based on the keywords included in the acquired post information, the impact level due to the disaster indicated by the post information is set for each of the acquired post information, and the location information included in the acquired post information is used. Based on this, each of the acquired posted information is classified into one of a plurality of predetermined areas.
For each area, the impact level of the entire area is determined based on the impact level set in the posted information classified in the area.
For each area, it is determined whether or not the area is dangerous based on the influence level of the entire area.
A method for generating a hazard map in an information processing device, which generates a hazard map by superimposing the influence level of the entire area on map information for an area determined to be dangerous.
(Appendix 11)
In the event of a disaster, among the posted information related to the disaster posted by multiple users, one of a plurality of keywords including location information and pre-registered information indicating danger and information indicating safety. Steps to get post information, including, and
Based on the keywords included in the acquired post information, the impact level due to the disaster indicated by the post information is set for each of the acquired post information, and the location information included in the acquired post information is used. Based on the step of classifying each of the acquired posted information into one of a plurality of predetermined areas,
For each area, a step to determine the impact level of the entire area based on the impact level set in the posted information classified into the area, and
For each area, a step of determining whether or not the area is dangerous based on the impact level of the entire area, and
A program that causes a computer to execute a step of superimposing the influence level of the entire area on map information to generate a hazard map for an area determined to be dangerous.
(Appendix 12)
In the step of determining the influence level of the entire area, each of the posted information classified into the area is divided into the first posted information in which the influence level is less than the first threshold value and the first posted information. It is classified into the second posted information that is equal to or higher than the threshold value of, and the influence level of the entire area is determined based on the influence level of the first posted information and the influence level of the second posted information. The program according to Appendix 11, which includes.
(Appendix 13)
An SNS (Social Networking Service) server that collects post information posted by multiple users, and
Including information processing equipment,
The information processing device is
When a disaster occurs, among the posted information related to the disaster, the posted information including the location information and one of a plurality of pre-registered keywords including information indicating danger and information indicating safety is described above. The acquisition unit acquired from the SNS server and
Based on the keywords included in the acquired post information, the impact level due to the disaster indicated by the post information is set for each of the acquired post information, and the location information included in the acquired post information is used. Based on this, a processing unit that classifies each of the acquired posted information into one of a plurality of predetermined areas, and a processing unit.
For each area, a determination unit that determines the impact level of the entire area based on the impact level set in the posted information classified into the area.
For each area, a determination unit for determining whether or not the area is dangerous based on the influence level of the entire area,
An information processing system including a generation unit for generating a hazard map by superimposing the influence level of the entire area on map information for an area determined to be dangerous by the determination unit.
(Appendix 14)
The determination unit determines each of the posted information classified into the area for each area, the first posted information whose influence level is less than the first threshold value and the second posted information whose influence level is equal to or higher than the first threshold value. The information processing system according to Appendix 13, which is classified into the posted information of the above and determines the influence level of the entire area based on the influence level of the first posted information and the influence level of the second posted information. ..

10, 40 Information processing device 11, 41 Acquisition unit 12, 43 Processing unit 13, 44 Decision unit 14, 45 Judgment unit 15, 46 Generation unit 100 Information processing system 20 Disaster information provision server 21 SNS server 22 Hazard map provision server 30 Internet 42, 49 Storage unit 47 Distribution unit 48 Display unit 50 Communication terminal

Claims (10)

In the event of a disaster, among the posted information related to the disaster posted by multiple users, one of a plurality of keywords including location information and pre-registered information indicating danger and information indicating safety. The acquisition department that acquires post information including,
Based on the keywords included in the acquired post information, the impact level due to the disaster indicated by the post information is set for each of the acquired post information, and the location information included in the acquired post information is used. Based on this, a processing unit that classifies each of the acquired posted information into one of a plurality of predetermined areas, and a processing unit.
For each area, a determination unit that determines the impact level of the entire area based on the impact level set in the posted information classified into the area.
For each area, a determination unit for determining whether or not the area is dangerous based on the influence level of the entire area,
An information processing device including a generation unit for generating a hazard map by superimposing the influence level of the entire area on map information for an area determined to be dangerous by the determination unit. The determination unit determines each of the posted information classified into the area for each area, the first posted information whose influence level is less than the first threshold value and the second posted information whose influence level is equal to or higher than the first threshold value. The information processing according to claim 1, wherein the information processing is classified into the posted information of the above, and the influence level of the entire area is determined based on the influence level of the first posted information and the influence level of the second posted information. Device. The determination unit determines the difference influence level between the average value of the influence level of the first posted information and the average value of the influence level of the second posted information as the influence level of the entire area. 2. The information processing apparatus according to 2. The information processing apparatus according to any one of claims 1 to 3, wherein the determination unit determines that the area is dangerous when the influence level of the entire area is equal to or higher than the second threshold value. The area is the first area and
The processing unit identifies the place information having the largest number of posted information for each first area, and the first position indicated by the specified place information and the place information included in the acquired posted information are obtained. The distance between the second position shown was calculated, and each of the acquired posted information was divided into predetermined distances based on the first position based on the calculated distance. Classify into one of several second areas and
The determination unit determines the influence level of the entire area for each second area.
The information processing apparatus according to any one of claims 1 to 4, wherein the determination unit determines whether or not the second area is dangerous for each of the second areas. The acquisition unit acquires post information including time information, and
The processing unit estimates the date and time indicated by the posted information by using the time information included in the acquired posted information and the posted date and time of the acquired posted information, and among the acquired posted information, the processing unit estimates the date and time indicated by the posted information. Post information whose estimated date and time is included within a predetermined time from the present is extracted.
The information processing apparatus according to any one of claims 1 to 5, wherein the generation unit generates the hazard map at predetermined time intervals. The information processing apparatus according to any one of claims 1 to 6, further comprising a distribution unit that distributes the generated hazard map information to a communication terminal. Further, a management table for managing the keyword and the influence level in association with each other is provided.
The information processing apparatus according to any one of claims 1 to 7, wherein the processing unit sets the influence level for each of the acquired posted information by using the management table. In the information processing device, when a disaster occurs, among the posted information related to the disaster posted by a plurality of users, a plurality of information including location information, pre-registered information indicating danger and information indicating safety. Get post information, including with any of the keywords in
Based on the keywords included in the acquired post information, the impact level due to the disaster indicated by the post information is set for each of the acquired post information, and the location information included in the acquired post information is used. Based on this, each of the acquired posted information is classified into one of a plurality of predetermined areas.
For each area, the impact level of the entire area is determined based on the impact level set in the posted information classified in the area.
For each area, it is determined whether or not the area is dangerous based on the influence level of the entire area.
A hazard map generation method executed by an information processing device that superimposes the influence level of the entire area on map information to generate a hazard map for an area determined to be dangerous. In the event of a disaster, among the posted information related to the disaster posted by multiple users, one of a plurality of keywords including location information and pre-registered information indicating danger and information indicating safety. Steps to get post information, including, and
Based on the keywords included in the acquired post information, the impact level due to the disaster indicated by the post information is set for each of the acquired post information, and the location information included in the acquired post information is used. Based on the step of classifying each of the acquired posted information into one of a plurality of predetermined areas,
For each area, a step to determine the impact level of the entire area based on the impact level set in the posted information classified into the area, and
For each area, a step of determining whether or not the area is dangerous based on the impact level of the entire area, and
A program that causes a computer to execute a step of superimposing the influence level of the entire area on map information to generate a hazard map for an area determined to be dangerous.

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