Information processing device, information processing method, and program

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The information processing device addresses the issue of inappropriate disaster prevention training locations by generating and comparing disaster risk level information based on trainee behavior and potential damage, enabling effective training in high-risk areas.

JP2025115752APending Publication Date: 2025-08-07NEC CORP

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Patent Information

Application Number: JP2024010379
Authority / Receiving Office: JP · JP
Patent Type: Applications
Current Assignee / Owner
Filing Date: 2024-01-26
Publication Date: 2025-08-07

AI Technical Summary

Technical Problem

Existing disaster prevention training methods do not consider the behavioral patterns or lifestyle rhythms of trainees and the extent of potential damage when selecting training locations, leading to inappropriate locations for conducting drills.

Method used

An information processing device that generates disaster risk level information by considering the length of time a training subject has stayed in an area and the predicted extent of damage, compares this information across multiple areas, and provides training information based on the comparison results.

Benefits of technology

Enables trainees to conduct disaster prevention training in appropriate locations that account for their behavioral patterns and potential damage, ensuring effective training scenarios.

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Abstract

To provide an information processing device which allows training target persons to receive disaster prevention training at appropriate places.SOLUTION: An information processing device is provided, comprising: a generation unit configured to reference damage level information indicative of the duration of time spent by training target persons in a region and an extent of damage in the region to generate disaster risk level information in the region for each of a plurality of regions; a comparison unit for comparing the disaster risk level information of each of the plurality of regions with those of others; and a provision unit for providing the training target persons with information according to a result of the comparison.SELECTED DRAWING: Figure 1

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Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] 2. Description of the Related Art Techniques relating to conducting disaster prevention drills in preparation for natural disasters are known.

[0003] For example, Patent Document 1 discloses an evacuation simulation method using a system including a mobile terminal and a management server that can communicate with the mobile terminal via a network. In this evacuation simulation method, after the mobile terminal receives an evacuation start alarm, it periodically transmits its location and altitude to the management server. The management server determines whether the location and altitude of the mobile terminal are below the danger altitude, and if the determination is true, transmits an evacuation failure alarm. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2016-115302 Summary of the Invention [Problem to be solved by the invention]

[0005] It is preferable that the location where the disaster prevention training is conducted takes into consideration the behavioral patterns or lifestyle rhythms of the trainees. As an example, it is preferable that the disaster prevention training is conducted in a place where the trainees stay for a long time (for example, the workplace). However, the evacuation simulation method described in Patent Document 1 does not take into consideration the behavioral patterns or lifestyle rhythms of the trainees.

[0006] Furthermore, it is preferable to consider the extent of damage that would occur if a disaster were to occur when deciding where to conduct disaster prevention drills. As an example, it is preferable to conduct disaster prevention drills in locations where damage would be severe if a disaster were to occur. However, the evacuation simulation method described in Patent Document 1 does not consider the extent of damage that would occur if a disaster were to occur.

[0007] As described above, the evacuation simulation method described in Patent Document 1 has a problem in that the location where the disaster prevention training is conducted may not be an appropriate location for the trainees.

[0008] The present disclosure has been made in consideration of the above-mentioned problems, and an exemplary purpose thereof is to provide a technology that allows a trainee to conduct disaster prevention training in an appropriate location. [Means for solving the problem]

[0009] An information processing device according to an exemplary aspect of the present disclosure includes a generating means for generating disaster risk level information indicating the level of risk of disaster in each of a plurality of areas by referring to damage level information indicating the length of time a training subject has stayed in the area and the predicted extent of damage in the area in the event of a disaster, a comparing means for comparing the disaster risk level information for each of the plurality of areas, and a providing means for providing the training subject with information according to the comparison result by the comparing means.

[0010] An information processing method according to an exemplary aspect of the present disclosure includes a generation process in which at least one processor references, for each of a plurality of areas, damage level information indicating the length of time a training subject has stayed in the area and the predicted extent of damage in the area in the event of a disaster, and generates disaster risk level information indicating the level of risk of disaster in the area; a comparison process in which the at least one processor compares the disaster risk level information for each of the plurality of areas; and a provision process in which the at least one processor provides the training subject with information according to the comparison result of the comparison process.

[0011] A program according to an exemplary aspect of the present disclosure is a program that causes a computer to function as an information processing device, and causes the computer to function as: a generation means that, for each of a plurality of areas, refers to damage level information that indicates the length of time that a training subject has stayed in the area and the extent of damage that is predicted to occur in the area if a disaster occurs, and generates disaster risk level information that indicates the level of risk of disaster in the area; a comparison means that compares the disaster risk level information for each of the plurality of areas; and a provision means that provides the training subject with information according to the comparison result by the comparison means. [Effects of the Invention]

[0012] According to one exemplary aspect of the present disclosure, an exemplary effect is achieved in that a training subject can carry out disaster prevention training in an appropriate location. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a block diagram illustrating a configuration of an information processing device according to the present disclosure. [Figure 2] FIG. 1 is a flow diagram showing the flow of an information processing method according to the present disclosure. [Figure 3] 1 is a block diagram illustrating a configuration of an information processing device according to the present disclosure. [Figure 4] FIG. 10 is a diagram illustrating an example of data referenced by a generating unit according to the present disclosure. [Figure 5] FIG. 1 is a flowchart showing a flow of processing executed by an information processing device according to the present disclosure. [Figure 6] 1 is a block diagram illustrating a configuration of an information processing device according to the present disclosure. [Figure 7] FIG. 10 is a flow diagram illustrating an example of a flow of processing executed by an information processing device according to the present disclosure. [Figure 8] FIG. 10 is a flow diagram illustrating another example of the flow of the process executed by the information processing device according to the present disclosure. [Figure 9] FIG. 1 is a block diagram illustrating a configuration of a computer that functions as an information processing device according to the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0014] The following are examples of embodiments of the present invention. However, the present invention is not limited to the exemplary embodiments shown below, and various modifications are possible within the scope of the claims. For example, embodiments obtained by appropriately combining the technical means employed in the exemplary embodiments shown below may also be included in the scope of the present invention. Furthermore, embodiments obtained by appropriately omitting some of the technical means employed in the exemplary embodiments shown below may also be included in the scope of the present invention. Furthermore, the effects mentioned in the exemplary embodiments shown below are examples of effects expected in the exemplary embodiments, and do not define the scope of the present invention. In other words, embodiments that do not exhibit the effects mentioned in the exemplary embodiments shown below may also be included in the scope of the present invention.

[0015] First Exemplary Embodiment A first exemplary embodiment, which is one example of an embodiment of the present invention, will be described in detail with reference to the drawings. This exemplary embodiment is the basic form of each exemplary embodiment described later. Note that the scope of application of each technical means employed in this exemplary embodiment is not limited to this exemplary embodiment. That is, each technical means employed in this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure to the extent that no particular technical obstacles arise. Furthermore, each technical means shown in the drawings referred to in describing this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure to the extent that no particular technical obstacles arise.

[0016] (Configuration of information processing device 1) The configuration of the information processing device 1 will be described with reference to Fig. 1. Fig. 1 is a block diagram showing the configuration of the information processing device 1. As shown in Fig. 1, the information processing device 1 includes a generation unit 11, a comparison unit 12, and a provision unit 13. In this exemplary embodiment, the generation unit 11, the comparison unit 12, and the provision unit 13 respectively realize a generation means, a comparison means, and a provision means.

[0017] The generating unit 11 generates disaster risk level information indicating the level of risk of disaster in each of the plurality of areas by referring to the duration of stay of the training subject in the area and damage level information indicating the magnitude of damage in the area predicted in the event of a disaster. The generating unit 11 supplies the generated disaster risk level information for each of the plurality of areas to the comparing unit 12.

[0018] "Risk of disaster" includes the risk of being hit by a disaster in a certain area and the risk of predicted damage if a disaster occurs. In other words, the higher the possibility of being hit by a disaster in a certain area, the higher the "risk of disaster," and the greater the predicted damage if a disaster occurs, the higher the "risk of disaster."

[0019] The comparison unit 12 compares the disaster risk level information for each of the multiple areas generated by the generation unit 11. The comparison unit 12 supplies the comparison result to the provision unit 13.

[0020] The providing unit 13 provides information according to the comparison result by the comparing unit 12 to the trainee.

[0021] (Effects of information processing device 1) As described above, the information processing device 1 is configured to include a generation unit 11 that, for each of a plurality of areas, refers to the length of time the trainee spent in that area and damage level information indicating the predicted extent of damage in that area in the event of a disaster, and generates disaster risk level information indicating the level of risk of disaster in that area; a comparison unit 12 that compares the disaster risk level information for each of the plurality of areas generated by the generation unit 11; and a provision unit 13 that provides the trainee with information according to the comparison result by the comparison unit 12.

[0022] Therefore, the information processing device 1 has the effect of enabling the trainee to carry out disaster prevention training in an appropriate location.

[0023] (Flow of information processing method S1) The flow of information processing method S1 will be described with reference to Fig. 2. Fig. 2 is a flow diagram showing the flow of information processing method S1. As shown in Fig. 2, information processing method S1 includes generation processing S11, comparison processing S12, and provision processing S13.

[0024] (Generation process S11) In the generation process S11, the generation unit 11 generates disaster risk level information indicating the level of risk of disaster in each of the multiple areas by referring to the time spent by the training subject in that area and damage level information indicating the predicted extent of damage in that area in the event of a disaster.

[0025] Specifically, in step S111, the generation unit 11 first selects an unselected area from the multiple areas. Next, in step S112, the generation unit 11 generates disaster risk level information for the selected area. Then, in step S113, the generation unit 11 determines whether all areas have been selected.

[0026] If it is determined in step S113 that not all regions have been selected (step S113: NO), the generator 11 executes the process of step S111. On the other hand, if it is determined in step S113 that all regions have been selected (step S113: YES), the generator 11 ends the generation process S11.

[0027] The generation unit 11 supplies the generated disaster risk level information for each of the multiple areas to the comparison unit 12.

[0028] (Comparison process S12) In the comparison process S12, the comparison unit 12 compares the disaster risk level information for each of the multiple areas generated by the generation unit 11. The comparison unit 12 supplies the comparison result to the provision unit 13.

[0029] (Provision process S13) In the providing process S13, the providing unit 13 provides information according to the comparison result by the comparing unit 12 to the trainee.

[0030] (Effect of information processing method S1) As described above, the information processing method S1 employs a configuration including a generation process S11 in which the generation unit 11 references, for each of a plurality of areas, the stay time spent by the trainee in that area and damage level information indicating the predicted extent of damage to that area in the event of a disaster, and generates disaster risk level information indicating the level of risk of disaster in that area, a comparison process S12 in which the comparison unit 12 compares the disaster risk level information for each of the plurality of areas generated by the generation unit 11, and a provision process S13 in which the provision unit 13 provides the trainee with information according to the comparison result by the comparison unit 12. Therefore, the information processing method S1 can achieve the same effects as the information processing device 1 described above.

[0031] Second Exemplary Embodiment A second exemplary embodiment, which is one example of an embodiment of the present invention, will be described in detail with reference to the drawings. Components having the same functions as those described in the above exemplary embodiment will be assigned the same reference numerals, and their description will be omitted as appropriate. The scope of application of each technical means employed in this exemplary embodiment is not limited to this exemplary embodiment. That is, each technical means employed in this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical obstacles arise. Furthermore, each technical means shown in each drawing referenced to explain this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical obstacles arise.

[0032] (Overview of information processing device 2) The information processing device 2 is a device connected to a terminal carried by a trainee of the disaster prevention training so as to be able to send and receive data. The information processing device 2 acquires location information LI indicating the location of the trainee from the terminal. The information processing device 2 also outputs information related to the disaster prevention training to the terminal.

[0033] Examples of information related to disaster prevention training include, but are not limited to, information recommending the implementation of disaster prevention training in a certain area and audiovisual data for disaster prevention training in a certain area. Examples of information recommending the implementation of disaster prevention training in a certain area include, but are not limited to, text data recommending the implementation of disaster prevention training in a certain area (e.g., "Please conduct a disaster prevention training in area XX"). Examples of audiovisual data for disaster prevention training in a certain area include, but are not limited to, audiovisual data for conducting a disaster prevention training using AR (Augmented Reality) or VR (Virtual Reality).

[0034] Examples of devices that the training subject may have include, but are not limited to, smartphones, tablets, and smartwatches.

[0035] (Configuration of information processing device 2) The configuration of the information processing device 2 will be described with reference to Fig. 3. Fig. 3 is a block diagram showing the configuration of the information processing device 2. As shown in Fig. 3, the information processing device 2 includes a control unit 20, a storage unit 50, a communication unit 60, and an input / output unit 70.

[0036] The storage unit 50 stores data referenced by the control unit 20. Examples of the storage unit 50 include, but are not limited to, a flash memory, a hard disk drive (HDD), a solid state drive (SSD), or a combination thereof.

[0037] Examples of data stored in the storage unit 50 include, but are not limited to, multiple pieces of location information LI indicating the location of the trainee (in other words, information indicating the location history of the trainee), the stay time DS in each area, disaster prediction information DPI including damage level information indicating the magnitude of damage predicted in each area, and disaster risk level information DRLI indicating the level of risk of disaster in each area. Examples of the stay time DS and the disaster risk level information DRLI will be described later.

[0038] The communication unit 60 is an interface for transmitting and receiving data via a network. Examples of the communication unit 60 include, but are not limited to, communication chips for various communication standards such as Ethernet (registered trademark), Wi-Fi (registered trademark), and wireless communication standards for mobile data communication networks, and USB-compliant connectors.

[0039] As one example, the communication unit 60 acquires location information LI indicating the location of the training target person from the terminal. As another example, the communication unit 60 outputs information related to disaster prevention training to the terminal.

[0040] The input / output unit 70 is an interface that receives input of data and outputs data. Examples of the input / output unit 70 include, but are not limited to, a microphone, a camera, an eye-gaze input device, a keyboard, a touchpad, a speaker, and a liquid crystal display.

[0041] As one example, the input / output unit 70 acquires input information from a user. The input / output unit 70 supplies the acquired input information to the control unit 20. As another example, the input / output unit 70 displays an image indicated by an image signal supplied from the control unit 20.

[0042] (Control unit 20) The control unit 20 controls each component included in the information processing device 2. As shown in Fig. 3, the control unit 20 also includes a generation unit 21, a comparison unit 22, a provision unit 23, an acquisition unit 24, and a calculation unit 25. In this exemplary embodiment, the generation unit 21, the comparison unit 22, the provision unit 23, the acquisition unit 24, and the calculation unit 25 respectively realize a generation means, a comparison means, a provision means, an acquisition means, and a calculation means.

[0043] For each of the multiple areas, the generation unit 21 refers to the stay time DS that the training subject spent in the area and damage level information that indicates the predicted extent of damage in the area in the event of a disaster, and generates disaster risk level information DRLI that indicates the level of risk of disaster in the area.

[0044] Furthermore, for each of a plurality of regions, the generation unit 21 refers to damage level information indicating the magnitude of damage predicted for the region if the disaster occurs, for each of one or more disasters predicted to occur in the region, and generates disaster risk level information DRLI corresponding to each of the one or more disasters. An example of the processing executed by the generation unit 21 will be described later.

[0045] The comparison unit 22 compares the disaster risk level information DRLI in each of the multiple regions, and supplies the comparison result to the provision unit 23.

[0046] For example, the comparison unit 22 compares the disaster risk level information DRLI for each of a plurality of areas to identify the area with the highest disaster risk. The comparison unit 22 supplies the identified area to the provision unit 23 as a comparison result.

[0047] For example, if the disaster risk level information DRLI is expressed as a value, and the higher the disaster risk, the larger the value, the comparison unit 22 supplies the area corresponding to the disaster risk level information DRLI with the largest value to the provision unit 23 as the comparison result.

[0048] As another example, the comparison unit 22 compares the disaster risk level information DRLI corresponding to one or more disasters in each of a plurality of regions, and identifies the region and disaster with the highest risk of disaster. In other words, the comparison unit 22 identifies the region and disaster with the highest risk of disaster among the plurality of regions and the plurality of disasters. The comparison unit 22 provides the identified region and disaster to the provision unit 23 as a comparison result.

[0049] The providing unit 23 provides the trainee with information according to the comparison result by the comparing unit 22. For example, the providing unit 23 outputs the information according to the comparison result by the comparing unit 22 to the trainee's terminal via the communication unit 60.

[0050] As an example, the providing unit 23 provides the trainee with information related to disaster prevention training in the area identified by the comparing unit 22. In other words, the providing unit 23 provides the trainee with information related to disaster prevention training in the area with the highest risk of disaster. With this configuration, the information processing device 2 can notify the trainee of the area with the highest risk of disaster. Furthermore, the information processing device 2 can cause the trainee to carry out disaster prevention training in the area with the highest risk of disaster.

[0051] Furthermore, the providing unit 23 provides the training recipient with viewing data of the disaster prevention training in the area identified by the comparing unit 22, as information related to the disaster prevention training. With this configuration, the information processing device 2 can cause the training recipient to carry out the disaster prevention training in the area with the highest risk of disaster.

[0052] As described above, an example of the viewing data is viewing data for conducting disaster prevention training using AR or VR. In this case, the viewing data may be viewing data for the trainee to conduct disaster prevention training, starting from the area identified by the comparison unit 22. Furthermore, the provision unit 23 may refer to the position information LI and identify a position (e.g., a seat at work) that is included in the area identified by the comparison unit 22 and where the trainee stayed the longest. In this case, the provision unit 23 provides the trainee with viewing data for the trainee to conduct disaster prevention training, starting from the identified position.

[0053] In addition, when the comparison unit 22 identifies the area and disaster with the highest risk of disaster, the provision unit 23 provides the training subject with information related to disaster prevention training corresponding to the area and disaster identified by the comparison unit 22.

[0054] For example, the providing unit 23 provides the training subject with viewing data including the expected appearance of a disaster identified by the comparing unit 22 occurring (for example, in the case of an earthquake, the appearance of a building shaking, the appearance of a building collapsing, etc.), starting from the area identified by the comparing unit 22.

[0055] With this configuration, the information processing device 2 can have the trainee conduct disaster prevention training to deal with the disaster with the highest disaster risk in an area where multiple disasters are predicted to occur.

[0056] The acquisition unit 24 acquires position information LI indicating the position of the trainee. The acquisition unit 24 stores the acquired position information LI in the storage unit 50. As one example, the acquisition unit 24 acquires the position information LI at predetermined time intervals. As another example, when the position information LI is sent from the terminal of the trainee, the acquisition unit 24 acquires the position information LI.

[0057] Furthermore, the acquisition unit 24 determines whether the number of acquired position information LI is equal to or greater than a specified value. If the number of acquired position information LI is not equal to or greater than the specified value, the acquisition unit 24 acquires position information LI until the number of acquired position information LI becomes equal to or greater than the specified value. The specified value is not particularly limited, and may be specified by a user (the user of the information processing device 2) via the input / output unit 70. Preferably, the specified value may be a number that can identify the behavior pattern or life rhythm of the training subject (for example, the number of position information for one week, the number of position information for one month).

[0058] The calculation unit 25 refers to the location information LI stored in the storage unit 50, and calculates, for each of a plurality of areas, the staying time DS that the training recipient stayed in that area. In other words, the calculation unit 25 calculates the staying time DS taking into consideration the behavior pattern or life rhythm of the training recipient. The calculation unit 25 stores the calculated staying time DS in the storage unit 50. An example of the processing executed by the calculation unit 25 will be described later.

[0059] (Example of processing executed by the calculation unit 25) An example of the process executed by the calculation unit 25 will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of data to which the generation unit 21 refers.

[0060] As an example, as shown in the upper part of Figure 4, the calculation unit 25 refers to the position information LI for each of the areas obtained by dividing a certain area into multiple areas vertically and horizontally, and calculates the staying time DS that the training subject stayed in.

[0061] Furthermore, as shown in the upper part of FIG. 4, the calculation unit 25 may represent the staying time DS by changing the shade of the color that fills each area according to the staying time DS that the training subject stayed in that area.

[0062] For example, the calculation unit 25 sets the area where the trainee did not stay to white (lightest color), as in the area r1_1 in the diagram shown in the upper part of FIG.

[0063] In addition, the calculation unit 25 sets areas where the trainee stayed and where the stay time DS was within a first predetermined period (e.g., 10 minutes) in a light color, such as area r3_4 in the diagram shown at the top of Figure 4.

[0064] In addition, the calculation unit 25 colors the area where the training subject's stay time DS was longer than the first predetermined period and within the second predetermined period (e.g., 1 hour) in a darker color than area 3_4, such as area r3_10 in the diagram shown at the top of Figure 4.

[0065] Furthermore, the calculation unit 25 colors the area where the staying time DS of the training subject is longer than the second predetermined period in a darker color than the area 3_10, like the area r7_1 in the diagram shown in the upper part of FIG.

[0066] In this way, the information processing device 2 refers to the position information LI and calculates, for each of a plurality of areas, the staying time DS that the trainee spent in that area. Therefore, the information processing device 2 can calculate the staying time DS in each area by acquiring the position information LI from a terminal held by the trainee, such as a smartphone, tablet, or smartwatch.

[0067] (Example of processing executed by the generation unit 21) An example of the process executed by the generation unit 21 will be described with reference to FIG. 4 again.

[0068] The generation unit 21 generates disaster risk level information DRLI by referring to the stay time DS calculated by the calculation unit 25 and the damage level information. An example of damage level information is disaster prediction information DPI, which indicates the extent of damage in each area using color shading, as shown in the center and bottom of Figure 4. The disaster prediction information DPI may also be a hazard map generated by a local government.

[0069] For example, the disaster prediction information DPI shown in the center of Figure 4 indicates the magnitude of earthquake damage predicted for each region. Examples of the magnitude of predicted earthquake damage include, but are not limited to, the possibility of building collapse and the possibility of fire spreading.

[0070] In the disaster prediction information DPI shown in the center of Figure 4, for example, areas where the possibility of building collapse is less than a first predetermined rate (e.g., 20%) are represented in white (lightest color), such as area r7_1.

[0071] In addition, in the disaster prediction information DPI shown in the center of Figure 4, areas where the possibility of building collapse is higher than a first predetermined rate and less than a second predetermined rate (e.g., 40%) are shown in a light color, such as area r3_4.

[0072] In addition, in the disaster prediction information DPI shown in the center of Figure 4, areas where the possibility of building collapse is higher than a second predetermined rate and less than a third predetermined rate (e.g., 60%) are represented in a darker color than area 3_4, such as area r3_10.

[0073] In addition, in the disaster prediction information DPI shown in the center of FIG. 4, areas where the possibility of building collapse is higher than a third predetermined rate, such as area r1_1, are shown in a darker color than area r3_10.

[0074] Similarly, the disaster prediction information DPI shown at the bottom of Figure 4 indicates the predicted scale of flood damage in each region. Examples of the predicted scale of flood damage include, but are not limited to, flood depth and flood duration. In the disaster prediction information DPI shown at the bottom of Figure 4, areas with a higher risk of flooding are displayed in darker colors.

[0075] For example, the generation unit 21 calculates the value of the disaster risk level information DRLI by multiplying the stay time DS by a value indicating the magnitude of damage indicated by the damage level information, where the time spent in each area is the stay time DS and the probability of buildings set in each area in the earthquake damage prediction that will collapse is the damage level information.As another example, the generation unit 21 calculates the value of the disaster risk level information DRLI by multiplying the stay time DS by a value indicating the magnitude of damage indicated by the damage level information, where the damage level information is the inundation depth (m) in the flood damage prediction.

[0076] As an example, if the stay time DS in the area r1_1 is 0 hours and the probability of the building collapsing is 80%, the generation unit 21 calculates 0×80=0 as the disaster risk level information DRLI corresponding to the earthquake in the area r1_1.

[0077] As another example, if the stay time DS in area r3_4 is 0.1 hours and the probability of the building collapsing is 30%, the generation unit 21 calculates 0.1×30=3 as the disaster risk level information DRLI corresponding to the earthquake in area r3_4.

[0078] As yet another example, if the stay time DS in the area 7_1 is 8 hours and the flood depth is 2 m, the generation unit 21 calculates 8×2=16 as the disaster risk level information DRLI corresponding to the flood in the area 7_1.

[0079] In this configuration, the comparison unit 22 compares the values of the disaster risk level information DRLI. For example, the comparison unit 22 compares the values of the disaster risk level information DRLI and identifies the area with the largest value of the disaster risk level information DRLI as the area with the highest risk of disaster.

[0080] 4, in the case of an area where multiple disasters (earthquakes and floods) are predicted to occur, the comparison unit 22 compares the value of the disaster risk level information DRLI for each disaster. For example, among the disaster risk level information DRLI for the above-mentioned areas r1_1, r3_4, r3_10, and 7_1, the disaster risk level information DRLI with the highest value is the disaster risk level information DRLI corresponding to the flood in area 7_1. In this case, the comparison unit 22 identifies area 7_1 and the flood as the area and disaster with the highest disaster risk.

[0081] 4, in areas where the stay time DS is long and dark, the damage level due to earthquakes is low (light color). On the other hand, in areas where the stay time DS is long and dark, the damage level due to floods is high (dark color). Therefore, the generation unit 21 may be configured to generate disaster risk level information DRLI corresponding to floods, but not to generate disaster risk level information DRLI corresponding to earthquakes.

[0082] In this way, the information processing device 2 calculates the product of the stay time DS and the value indicating the magnitude of damage indicated by the damage level information as the value of the disaster risk level information DRLI. It is preferable to conduct disaster prevention training in a location where the stay time DS of the training subjects is long. On the other hand, even if the location has a long stay time DS of the training subjects, if the predicted damage level is low, it is not an appropriate location for conducting disaster prevention training. Similarly, even if the predicted damage level is high, it is not an appropriate location for conducting disaster prevention training if the stay time DS of the training subjects is short.

[0083] The information processing device 2 calculates the value of the disaster risk level information DRLI as the product of the stay time DS and the value indicating the extent of damage indicated by the damage level information, thereby enabling the training subject to carry out disaster prevention training in places where the risk of disaster (the risk of being hit by a disaster and the risk of predicted damage if a disaster occurs) is high, rather than simply in places where the training subject has been staying for a long time or where the level of damage is high.

[0084] (Processing executed by information processing device 2) The flow of the process (information processing method S2) executed by the information processing device 2 will be described with reference to Fig. 5. Fig. 5 is a flowchart showing the flow of the process executed by the information processing device 2.

[0085] (Step S21) In step S21, the acquisition unit 24 acquires the location information LI. The acquisition unit 24 stores the acquired location information LI in the storage unit 50.

[0086] (Step S22) In step S22, the acquisition unit 24 determines whether the number of pieces of position information LI acquired is equal to or greater than a designated value.

[0087] In step S22, if it is determined that the number of pieces of position information LI is less than the designated value (step S22: NO), the acquisition unit 24 executes the process of step S21 again.

[0088] (Step S23) If it is determined in step S22 that the number of pieces of position information LI is equal to or greater than the specified value (step S22: YES), in step S23 the calculation unit 25 refers to the position information LI stored in the storage unit 50 and calculates, for each of the multiple areas, the staying time DS that the training subject spent in that area. The calculation unit 25 stores the calculated staying time DS in the storage unit 50.

[0089] (Step S24) In step S24, the generation unit 21 selects an unselected region from the plurality of regions.

[0090] (Step S25) In step S25, the generation unit 21 generates disaster risk level information DRLI for the area selected in step S24.

[0091] (Step 26) In step S26, the generation unit 21 determines whether or not all the regions have been selected.

[0092] In step S26, if it is determined that not all areas have been selected (step S26: NO), the generation unit 21 executes step S24 again. That is, the generation unit 21 generates disaster risk level information DRLI for each of the multiple areas. The generation unit 21 stores the generated disaster risk level information DRLI in the storage unit 50.

[0093] (Step S27) If it is determined in step S26 that all areas have been selected (step S27: YES), the comparison unit 22 compares the disaster risk level information DRLI for each of the multiple areas in step S27. The comparison unit 22 provides the comparison result to the provision unit 23.

[0094] (Step S28) In step S28, the providing unit 23 provides information according to the comparison result by the comparing unit 22 to the trainee.

[0095] (Effects of information processing device 2) As described above, the information processing device 2 generates disaster risk level information DRLI by referring to the stay time DS calculated with reference to the location information LI and the disaster prediction information DPI including damage level information. The information processing device 2 also provides the trainee with information related to disaster prevention training in areas with the highest risk of disaster indicated by the disaster risk level information DRLI. Therefore, the information processing device 2 can have the trainee carry out disaster prevention training in areas with a high risk of disaster.

[0096] Third Exemplary Embodiment A third exemplary embodiment, which is an example of an embodiment of the present invention, will be described in detail with reference to the drawings. Components having the same functions as those described in the above exemplary embodiment will be assigned the same reference numerals, and their description will be omitted as appropriate. The scope of application of each technical means employed in this exemplary embodiment is not limited to this exemplary embodiment. That is, each technical means employed in this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical obstacles arise. Furthermore, each technical means shown in each drawing referenced to explain this exemplary embodiment can also be employed in other exemplary embodiments included in the present disclosure, to the extent that no particular technical obstacles arise.

[0097] (Configuration of information processing device 3) The configuration of the information processing device 3 will be described with reference to Fig. 6. Fig. 6 is a block diagram showing the configuration of the information processing device 3. As shown in Fig. 6, the information processing device 3 includes a control unit 30, a storage unit 50, a communication unit 60, and an input / output unit 70. The storage unit 50, the communication unit 60, and the input / output unit 70 are as described above.

[0098] (control unit 30) The control unit 30 controls each component included in the information processing device 3. As shown in Fig. 6, the control unit 30 also includes a generation unit 31, a comparison unit 22, a provision unit 23, an acquisition unit 24, a calculation unit 25, and a determination unit 32. In this exemplary embodiment, the generation unit 31, the comparison unit 22, the provision unit 23, the acquisition unit 24, the calculation unit 25, and the determination unit 32 respectively realize a generation means, a comparison means, a provision means, an acquisition means, a calculation means, and a determination means. The functions of the comparison unit 22, the provision unit 23, the acquisition unit 24, and the calculation unit 25 are as described above.

[0099] In addition to the functions of the generation unit 21 described above, the generation unit 31 generates disaster risk level information DLRI by referring to the determination result by the determination unit 32. An example of the process executed by the generation unit 31 will be described later.

[0100] The determination unit 32 determines whether or not the stay time DS in at least any of the multiple areas has changed at a predetermined time interval (first predetermined time interval). The determination unit 32 supplies the determination result to the generation unit 31.

[0101] In addition to or instead of determining whether the stay time DS in at least any of the plurality of areas has changed, the determination unit 32 determines whether there has been a change in the damage level information for each of the plurality of areas at a predetermined time interval (a second predetermined time interval). For example, the determination unit 32 refers to disaster prediction information DPI updated by a local government and determines whether there has been a change in the damage level information for each of the plurality of areas.

[0102] The first predetermined time interval and the second predetermined time interval are not particularly limited, and may be the same time interval or may be different time intervals.

[0103] (Processing example 1 executed by the generation unit 31) As an example, if the determination result by the determination unit 32 indicates that the stay time DS in at least one of the multiple areas has changed, the generation unit 31 generates disaster risk level information DLRI for each of the multiple areas.

[0104] That is, when the user's behavior pattern or life rhythm changes, the generation unit 31 generates disaster risk level information DLRI by referring to the stay time DS that takes into account the user's behavior pattern or life rhythm after the change. Note that the generation unit 31 may generate disaster risk level information DLRI only for the area where the stay time DS has changed (in other words, update the disaster risk level information DLRI).

[0105] With this configuration, when the stay time DS changes, the information processing device 3 updates the disaster risk level information DLRI. Therefore, when the user's behavior pattern or lifestyle rhythm changes, the information processing device 3 can have the training subject carry out disaster prevention training in places where the risk of disaster is high, based on the user's behavior pattern or lifestyle rhythm after the change.

[0106] (Processing example 2 executed by the generation unit 31) As another example, if the determination result by the determination unit 32 indicates that there is a change in the damage level information of at least one of the multiple areas, the generation unit 31 generates disaster risk level information DLRI for each of the multiple areas.

[0107] That is, when there is a change in the damage level in at least one area, the generation unit 31 generates disaster risk level information DLRI by referring to the changed damage level information. Note that the generation unit 31 may generate disaster risk level information DLRI only for the area whose damage level information has changed (in other words, update the disaster risk level information DLRI).

[0108] With this configuration, when the damage level information of at least one area changes, the information processing device 3 updates the disaster risk level information DLRI. Therefore, when the magnitude of damage predicted in the event of a disaster changes in at least one area, the information processing device 3 can have the trainees conduct disaster prevention training in places where the risk of disaster is high, based on the changed magnitude of damage.

[0109] (Process 3 executed by the generation unit 31) As yet another example, the judgment unit 32 judges whether the stay time DS in at least one of the multiple areas has changed at a first predetermined interval, and judges whether there has been a change in the damage level information in each of the multiple areas at a second predetermined interval.

[0110] If the judgment result by the judgment unit 32 is at least one of (1) that the stay time DS has changed and (2) that there has been a change in the damage level information, the generation unit 31 generates disaster risk level information DLRI for each of the multiple areas.

[0111] That is, when the user's behavior pattern or life rhythm changes, the generation unit 31 generates disaster risk level information DLRI by referring to the stay time DS that takes into account the user's behavior pattern or life rhythm after the change. Also, when there is a change in damage level information in at least one area, the generation unit 31 generates disaster risk level information DLRI by referring to the damage level information after the change.

[0112] With this configuration, the information processing device 3 updates the disaster risk level information DLRI when at least one of the following changes occurs: a change in the user's behavior pattern or lifestyle rhythm; and a change in the damage level information for at least one area. Therefore, when a change in the user's behavior pattern or lifestyle rhythm occurs, or when a change occurs in the magnitude of damage predicted in the event of a disaster in at least one area, the information processing device 3 can have the training subject conduct disaster prevention training in a location with a high risk of disaster after the change.

[0113] (Process 1 executed by information processing device 3) An example of the flow of processing (information processing method S3) executed by information processing device 3 will be described with reference to Fig. 7. Fig. 7 is a flow chart showing an example of the flow of processing executed by information processing device 3.

[0114] (Step S31) In step S31, the acquisition unit 24 acquires the location information LI. The acquisition unit 24 stores the acquired location information LI in the storage unit 50.

[0115] (Step S32) In step S32, the acquisition unit 24 determines whether the number of pieces of position information LI acquired is equal to or greater than a designated value.

[0116] If it is determined in step S32 that the number of pieces of position information LI is less than the designated value (step S22: NO), the acquisition unit 24 executes the process of step S31 again.

[0117] (Step S33) If it is determined in step S32 that the number of pieces of position information LI is equal to or greater than the specified value (step S32: YES), in step S33 the calculation unit 25 refers to the position information LI stored in the storage unit 50 and calculates, for each of the multiple areas, the staying time DS that the training subject spent in that area. The calculation unit 25 stores the calculated staying time DS in the storage unit 50.

[0118] (Step S34) In step S34, the determination unit 32 determines whether the stay time DS in at least one of the plurality of areas has changed at predetermined time intervals. The determination unit 32 supplies the determination result to the generation unit 31.

[0119] In step S34, if it is determined that the stay time DS has not changed (step S34: NO), the information processing device 3 executes step S31 again.

[0120] (Step S24) If it is determined in step S34 that the stay time DS has changed (step S34: YES), the generation unit 31 selects an unselected area from the plurality of areas in step S24.

[0121] (Steps S25 to S28) Steps S25 to S28 are the same as the processes described above.

[0122] (Process 2 executed by information processing device 3) Another example of the flow of the process (information processing method S3A) executed by information processing device 3 will be described with reference to Fig. 8. Fig. 8 is a flow chart showing another example of the flow of the process executed by information processing device 3.

[0123] (Step S34A) In step S34A, the determination unit 32 determines whether or not there is a change in the damage level information in each of the plurality of areas at predetermined time intervals.

[0124] If it is determined in step S34A that there is no change in the damage level information (step S34A: NO), the determination unit 32 executes step S34A again.

[0125] (Step S24) If it is determined in step S34A that there is a change in the damage level information (step S34A: YES), in step S24 the generation unit 31 selects an unselected area from the plurality of areas.

[0126] (Steps S25 to S28) Steps S25 to S28 are the same as the processes described above.

[0127] (Effects of information processing device 3) As described above, in the information processing device 1, when there is a change in the stay time DS or the damage level in at least one area, disaster risk level information DRLI is generated by referring to the changed stay time DS or the damage level. Therefore, the information processing device 2 can have the training subject carry out disaster prevention training in a place where the risk of disaster is high, based on at least one of the changed user's behavior pattern or life rhythm and the extent of the damage.

[0128] [Software implementation example] Some or all of the functions of the information processing devices 1 to 3 (hereinafter also referred to as "each of the above devices") may be realized by hardware such as an integrated circuit (IC chip), or by software.

[0129] In the latter case, each of the above devices is realized by, for example, a computer that executes instructions of a program, which is software that realizes each function. An example of such a computer (hereinafter referred to as computer C) is shown in Figure 9. Figure 9 is a block diagram showing the hardware configuration of computer C that functions as each of the above devices.

[0130] The computer C includes at least one processor C1 and at least one memory C2. The memory C2 stores a program P for causing the computer C to operate as each of the above-mentioned devices. In the computer C, the processor C1 reads and executes the program P from the memory C2, thereby realizing the functions of each of the above-mentioned devices.

[0131] The processor C1 may be, for example, a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processor (DSP), a micro processing unit (MPU), a floating point number processing unit (FPU), a physics processing unit (PPU), a tensor processing unit (TPU), a quantum processor, a microcontroller, or a combination thereof. The memory C2 may be, for example, a flash memory, a hard disk drive (HDD), a solid state drive (SSD), or a combination thereof.

[0132] The computer C may further include a RAM (Random Access Memory) for expanding the program P during execution and for temporarily storing various data. The computer C may also include a communication interface for transmitting and receiving data to and from other devices. The computer C may also include an input / output interface for connecting input / output devices such as a keyboard, mouse, display, and printer.

[0133] The program P can also be recorded on a non-transitory, tangible recording medium M that can be read by the computer C. Such a recording medium M can be, for example, a tape, a disk, a card, a semiconductor memory, or a programmable logic circuit. The computer C can acquire the program P via such a recording medium M. The program P can also be transmitted via a transmission medium. Such a transmission medium can be, for example, a communications network or broadcast waves. The computer C can also acquire the program P via such a transmission medium.

[0134] [Appendix A] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0135] (Appendix A1) For each of the multiple areas, The length of time the training subject spent in the area; and Damage level information indicating the predicted extent of damage in the area in the event of a disaster a generating means for generating disaster risk level information indicating the level of risk of disaster in the area by referring to the above information; a comparison means for comparing the disaster risk level information in each of the plurality of areas; providing means for providing information according to the comparison result by the comparing means to the trainee; An information processing device comprising:

[0136] (Appendix A2) an acquisition means for acquiring position information indicating the position of the training target person; a calculation means for calculating, for each of the plurality of areas, a stay time during which the training subject stays in that area by referring to the position information; The information processing device according to Appendix A1, further comprising:

[0137] (Appendix A3) The generation means calculates the product of the stay time and a value indicating the magnitude of the damage indicated by the damage level information as a value of the disaster risk level information, The comparison means compares the values of the disaster risk level information. An information processing device according to appendix A1 or A2.

[0138] (Appendix A4) The comparison means compares the disaster risk level information for each of the plurality of areas to identify an area with the highest risk of disaster; the provision means provides the training recipient with information related to disaster prevention training in the area identified by the comparison means. An information processing device according to any one of appendices A1 to A3.

[0139] (Appendix A5) the providing means provides the training recipient with viewing data of the disaster prevention training in the area identified by the comparing means as information related to the disaster prevention training. 1. An information processing device according to claim A4.

[0140] (Appendix A6) The generating means generates, for each of the plurality of regions, For each of one or more disasters predicted to occur in the area, refer to damage level information indicating the magnitude of damage predicted to occur in the area if the disaster occurs, and generate disaster risk level information corresponding to each of the one or more disasters; The comparison means compares the disaster risk level information corresponding to each of the one or more disasters in each of the plurality of areas, and identifies the area and disaster with the highest risk of disaster; the provision means provides the training recipient with information related to disaster prevention training corresponding to the area and disaster identified by the comparison means. An information processing device according to any one of appendices A1 to A5.

[0141] (Appendix A7) The system further includes a determination unit that determines whether or not the duration of stay in at least one of the plurality of areas has changed at predetermined time intervals, When the determination result by the determination means indicates that the stay time in at least one of the plurality of areas has changed, the generation means generates the disaster risk level information for each of the plurality of areas. An information processing device according to any one of appendices A1 to A6.

[0142] (Appendix A8) a determining unit that determines whether or not there is a change in the damage level information in each of the plurality of areas at predetermined time intervals; When the determination result by the determination means indicates that there is a change in the damage level information of at least one of the plurality of areas, the generation means generates the disaster risk level information for each of the plurality of areas. An information processing device according to any one of appendices A1 to A7.

[0143] [Appendix B] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0144] (Appendix B1) At least one processor, for each of the plurality of regions: The length of time the training subject spent in the area; and Damage level information indicating the predicted extent of damage in the area in the event of a disaster a generation process for generating disaster risk level information indicating the level of risk of disaster in the area by referring to the above information; a comparison process in which the at least one processor compares the disaster risk level information in each of the plurality of regions; a providing process in which the at least one processor provides the training subject with information according to a comparison result in the comparison process; An information processing method including:

[0145] (Appendix B2) an acquisition process in which the at least one processor acquires location information indicating a location of the training subject; a calculation process in which the at least one processor refers to the position information and calculates, for each of the plurality of areas, a stay time during which the training subject stays in that area; The information processing method according to Appendix B1, further comprising:

[0146] (Appendix B3) In the generation process, the at least one processor calculates a product of the stay time and a value indicating the magnitude of the damage indicated by the damage level information as a value of disaster risk level information; In the comparison process, the at least one processor compares values of the disaster risk level information. 1. An information processing method as described in Appendix B1 or B2.

[0147] (Appendix B4) In the comparison process, the at least one processor compares the disaster risk level information for each of the plurality of regions to identify a region with the highest risk of disaster; In the providing process, the at least one processor provides the training recipient with information related to disaster prevention training in the area identified by the comparison process. 1. An information processing method according to any one of appendices B1 to B3.

[0148] (Appendix B5) In the providing process, the at least one processor provides the training recipient with viewing data of a disaster prevention training in the area identified by the comparison process as information related to the disaster prevention training. The information processing method described in Appendix B4.

[0149] (Appendix B6) In the generation process, the at least one processor performs the following for each of a plurality of regions: For each of one or more disasters predicted to occur in the area, refer to damage level information indicating the magnitude of damage predicted to occur in the area if the disaster occurs, and generate disaster risk level information corresponding to each of the one or more disasters; In the comparison process, the at least one processor compares the disaster risk level information corresponding to each of the one or more disasters in each of the plurality of regions, and identifies the region and disaster with the highest risk of disaster; In the providing process, the at least one processor provides the training recipient with information related to disaster prevention training corresponding to the area and disaster identified by the comparison process. An information processing method according to any one of Appendices B1 to B5.

[0150] (Appendix B7) The method further includes a determination process performed by the at least one processor to determine whether or not a stay time in at least any of the plurality of areas has changed at a predetermined time interval; When a determination result in the determination process indicates that the stay time in at least one of the plurality of areas is changing, the at least one processor generates the disaster risk level information for each of the plurality of areas in the generation process. 1. An information processing method according to any one of appendices B1 to B6.

[0151] (Appendix B8) The method further includes a determination process in which the at least one processor determines, at a predetermined time interval, whether or not there is a change in the damage level information in each of the plurality of areas; When a determination result in the determination process indicates that there is a change in the damage level information of at least one of the plurality of areas, the at least one processor generates the disaster risk level information for each of the plurality of areas in the generation process. 1. An information processing method according to any one of appendices B1 to B7.

[0152] [Appendix C] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0153] (Appendix C1) A program that causes a computer to function as an information processing device, The computer For each of the multiple areas, The length of time the training subject spent in the area; and Damage level information indicating the predicted extent of damage in the area in the event of a disaster a generating means for generating disaster risk level information indicating the level of risk of disaster in the area by referring to the above information; a comparison means for comparing the disaster risk level information in each of the plurality of areas; providing means for providing information according to the comparison result by the comparing means to the trainee; A program that functions as a

[0154] (Appendix C2) The computer an acquisition means for acquiring position information indicating the position of the training target person; a calculation means for calculating, for each of the plurality of areas, a stay time during which the training subject stays in that area by referring to the position information; 10. The program of claim 9, further comprising:

[0155] (Appendix C3) The generation means calculates the product of the stay time and a value indicating the magnitude of the damage indicated by the damage level information as a value of the disaster risk level information, The comparison means compares the values of the disaster risk level information. A program as described in Appendix C1 or C2.

[0156] (Appendix C4) The comparison means compares the disaster risk level information for each of the plurality of areas to identify an area with the highest risk of disaster; the provision means provides the training recipient with information related to disaster prevention training in the area identified by the comparison means. An information processing program according to any one of appendices C1 to C3.

[0157] (Appendix C5) the providing means provides the training recipient with viewing data of the disaster prevention training in the area identified by the comparing means as information related to the disaster prevention training. An information processing program as described in Appendix C4.

[0158] (Appendix C6) The generating means generates, for each of the plurality of regions, For each of one or more disasters predicted to occur in the area, refer to damage level information indicating the magnitude of damage predicted to occur in the area if the disaster occurs, and generate disaster risk level information corresponding to each of the one or more disasters; The comparison means compares the disaster risk level information corresponding to each of the one or more disasters in each of the plurality of areas, and identifies the area and disaster with the highest risk of disaster; the provision means provides the training recipient with information related to disaster prevention training corresponding to the area and disaster identified by the comparison means. An information processing program according to any one of appendices C1 to C5.

[0159] (Appendix C7) The computer The device further functions as a determination unit that determines whether or not the stay time in at least one of the plurality of areas has changed at predetermined time intervals, When the determination result by the determination means indicates that the stay time in at least one of the plurality of areas has changed, the generation means generates the disaster risk level information for each of the plurality of areas. An information processing program according to any one of appendices C1 to C6.

[0160] (Appendix C8) The computer and further functioning as a determination unit that determines, at predetermined time intervals, whether or not there is a change in the damage level information in each of the plurality of areas; When the determination result by the determination means indicates that there is a change in the damage level information of at least one of the plurality of areas, the generation means generates the disaster risk level information for each of the plurality of areas. An information processing program according to any one of appendices C1 to C7.

[0161] [Appendix D] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0162] (Appendix D1) at least one processor, For each of the multiple areas, The length of time the training subject spent in the area; and Damage level information indicating the predicted extent of damage in the area in the event of a disaster a generation process for generating disaster risk level information indicating the level of risk of disaster in the area by referring to the above information; a comparison process for comparing the disaster risk level information in each of the plurality of areas; a providing process for providing information according to the comparison result in the comparison process to the training recipient; An information processing device that executes the above.

[0163] The information processing device may further include a memory, and the memory may store a program for causing the at least one processor to execute each of the processes.

[0164] (Appendix D2) the at least one processor: an acquisition process for acquiring position information indicating the position of the training target person; A calculation process of calculating, for each of the plurality of areas, a stay time during which the training subject stayed in the area by referring to the position information; The information processing device according to appendix D1, further comprising:

[0165] (Appendix D3) In the generation process, the at least one processor calculates a product of the stay time and a value indicating the magnitude of the damage indicated by the damage level information as a value of disaster risk level information; In the comparison process, the at least one processor compares values of the disaster risk level information. An information processing device according to appendix D1 or D2.

[0166] (Appendix D4) In the comparison process, the at least one processor compares the disaster risk level information for each of the plurality of regions to identify a region with the highest risk of disaster; In the providing process, the at least one processor provides the training recipient with information related to disaster prevention training in the area identified by the comparison process. An information processing device according to any one of appendices D1 to D3.

[0167] (Appendix D5) In the providing process, the at least one processor provides the training recipient with viewing data of a disaster prevention training in the area identified by the comparison process as information related to the disaster prevention training. 10. The information processing device according to claim 9, wherein the information processing device is an information processing device according to claim 1 ....

[0168] (Appendix D6) In the generation process, the at least one processor performs the following for each of a plurality of regions: For each of one or more disasters predicted to occur in the area, refer to damage level information indicating the magnitude of damage predicted to occur in the area if the disaster occurs, and generate disaster risk level information corresponding to each of the one or more disasters; In the comparison process, the at least one processor compares the disaster risk level information corresponding to each of the one or more disasters in each of the plurality of regions, and identifies the region and disaster with the highest risk of disaster; In the providing process, the at least one processor provides the training recipient with information related to disaster prevention training corresponding to the area and disaster identified by the comparison process. An information processing device according to appendix D1 or D2.

[0169] (Appendix D7) the at least one processor: further executing a determination process for determining whether or not the stay time in at least one of the plurality of areas has changed at predetermined time intervals; When a determination result in the determination process indicates that the stay time in at least one of the plurality of areas has changed, the generation process generates the disaster risk level information for each of the plurality of areas. An information processing device according to any one of appendices D1 to D6.

[0170] (Appendix D8) the at least one processor: further executing a determination process at a predetermined time interval to determine whether or not there is a change in the damage level information in each of the plurality of areas; When a determination result in the determination process indicates that there is a change in the damage level information of at least one of the plurality of areas, the generation process generates the disaster risk level information for each of the plurality of areas. An information processing device according to any one of appendices D1 to D7.

[0171] [Appendix E] This disclosure includes the techniques described in the following appendices. However, the present invention is not limited to the techniques described in the following appendices, and various modifications are possible within the scope of the claims.

[0172] (Appendix E1) A non-transitory recording medium on which a program that causes a computer to function as an information processing device is recorded, The computer, For each of the multiple areas, The length of time the training subject spent in the area; and Damage level information indicating the predicted extent of damage in the area in the event of a disaster a generation process for generating disaster risk level information indicating the level of risk of disaster in the area by referring to the above information; a comparison process for comparing the disaster risk level information in each of the plurality of areas; a providing process for providing information according to the comparison result in the comparison process to the training recipient; A non-transitory recording medium on which a program for executing a program is recorded. [Explanation of symbols]

[0173] 1, 2, 3 Information processing equipment 11, 21, 31 generation section 12, 22 Comparison section 13, 23 Providing Department 20, 30 Control unit 24 Acquisition Department 25 Calculation section 32 Judgment section LI location information DS Stay Time DPI Disaster Prediction Information DRLI Disaster Risk Level Information

Claims

1. For each of the multiple areas, The length of time the training subject spent in the area; and Damage level information indicating the predicted extent of damage in the area in the event of a disaster a generating means for generating disaster risk level information indicating the level of risk of disaster in the area by referring to the above information; a comparison means for comparing the disaster risk level information in each of the plurality of areas; providing means for providing information according to the comparison result by the comparing means to the trainee; An information processing device comprising:

2. an acquisition means for acquiring position information indicating the position of the training target person; a calculation means for calculating, for each of the plurality of areas, a stay time during which the training subject stays in that area by referring to the position information; The information processing device according to claim 1 , further comprising:

3. The generation means calculates the product of the stay time and a value indicating the magnitude of the damage indicated by the damage level information as a value of the disaster risk level information, The comparison means compares the values of the disaster risk level information.