Notification device, notification method, and program

The notification device addresses the issue of inadequate pre-disaster risk notification by using location and weather data to provide actionable warnings on mobile devices, improving user safety during disasters.

JP7747176B2Active Publication Date: 2025-10-01NEC CORP
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Patent Information

Application Number
JP2024509687
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-03-25
Publication Date
2025-10-01
Estimated Expiration
2042-03-25

AI Technical Summary

Technical Problem

Existing disaster notification systems fail to accurately notify users of potential disaster risks at their current location before an event occurs, particularly for individuals unfamiliar with the area, leading to delayed evacuation and increased vulnerability.

Method used

A notification device that acquires location information, disaster prevention map data, and weather information to determine the level of caution required, generating and outputting warning information to mobile devices, including hazard maps and action guidelines.

Benefits of technology

Enables accurate and timely notification of disaster risks to users based on their location, enhancing awareness and facilitating prompt action, even in unfamiliar areas.

✦ Generated by Eureka AI based on patent content.

Smart Images

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Patent Text Reader

Abstract

Provided is a notification device which, to precisely notify a user carrying a portable terminal of warning information related to a disaster according to the position of the portable terminal, comprises: an acquisition unit for acquiring position information on a portable terminal, and disaster prevention map information and weather information according to the position information on the portable terminal; a determination unit which determines a disaster warning level at the position of the portable terminal with reference to the disaster prevention map information and the weather information, and generates warning information according to the determination result; and an output unit for outputting the generated warning information to the portable terminal.
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Description

[Technical Field]

[0001] The present disclosure relates to a notification device or the like that notifies information about a disaster. [Background technology]

[0002] Disaster prevention maps (also called hazard maps) for disasters such as floods, earthquakes, and tsunamis are provided by local governments and other organizations. Even if people live in areas that are shown as being at high risk of disaster on the disaster prevention maps, some people are unaware of the danger. In particular, if they live in a different area from their home, they often do not understand the dangers in that area. If people do not understand the dangers in their location, they may delay evacuation and be caught up in the disaster.

[0003] Patent Document 1 discloses a tsunami evacuation guidance support system for safely evacuating railway passengers when a tsunami is expected following an earthquake. The system in Patent Document 1 predicts the tsunami inundation area based on measurement information on the epicenter, magnitude, and tsunami wave height when an earthquake occurs. The system in Patent Document 1 stores simulation maps showing multiple expected tsunami inundation areas corresponding to various assumed conditions of epicenter, magnitude, and tsunami wave height. When an earthquake occurs, the system in Patent Document 1 reads the simulation map corresponding to the measurement information on the epicenter, magnitude, and tsunami wave height and the local government's hazard map. The system in Patent Document 1 transmits data on a map showing the expected tsunami inundation area predicted by the logical OR of the expected tsunami inundation areas on the simulation map and the hazard map to information terminal devices located within and near the expected tsunami inundation area. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-012079 Summary of the Invention [Problem to be solved by the invention]

[0005] According to the method of Patent Document 1, when an earthquake occurs, the expected tsunami inundation area can be estimated based on the logical sum of the expected tsunami inundation areas on the simulation map and the hazard map. Furthermore, the method of Patent Document 1 notifies the estimated expected tsunami inundation area to information terminal devices located within and near the expected tsunami inundation area. Therefore, according to the method of Patent Document 1, when an earthquake occurs, the estimated expected tsunami inundation area can be notified to people located within and near the expected tsunami inundation area. However, the method of Patent Document 1 was unable to notify information about the expected tsunami inundation area to information terminal devices located within and near the expected tsunami inundation area before an earthquake occurred. Furthermore, the method of Patent Document 1 was unable to provide useful information to users of each information terminal device located within and near the expected tsunami inundation area.

[0006] An object of the present disclosure is to provide a notification device or the like that can accurately notify a user carrying a mobile terminal of disaster alert information according to the location of the mobile terminal. [Means for solving the problem]

[0007] A notification device according to one aspect of the present disclosure includes an acquisition unit that acquires location information of a mobile device and disaster prevention map information and weather information corresponding to the location information of the mobile device, a determination unit that refers to the disaster prevention map information and weather information to determine the level of disaster caution required at the location of the mobile device and generates warning information corresponding to the determination result, and an output unit that outputs the generated warning information to the mobile device.

[0008] In one embodiment of the notification method of the present disclosure, location information of a mobile device is acquired, disaster prevention map information and weather information corresponding to the location information of the mobile device are acquired, the disaster prevention map information and weather information are referenced to determine the level of disaster caution required at the location of the mobile device, warning information corresponding to the determination result is generated, and the generated warning information is output to the mobile device.

[0009] A program according to one embodiment of the present disclosure causes a computer to perform the following processes: acquiring location information of a mobile device; acquiring disaster prevention map information and weather information according to the location information of the mobile device; determining the level of disaster caution required at the location of the mobile device by referring to the disaster prevention map information and weather information; generating warning information according to the determination result; and outputting the generated warning information to the mobile device. [Effects of the Invention]

[0010] According to the present disclosure, it is possible to provide a notification device or the like that can accurately notify a user carrying a mobile terminal of disaster alert information according to the location of the mobile terminal. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing an example of the configuration of a notification device according to a first embodiment. [Figure 2] 3 is a conceptual diagram showing an example of map information associated with disaster prevention map information used for determining a level of caution by the notification device according to the first embodiment. FIG. [Figure 3] 3 is a conceptual diagram showing an example of disaster prevention map information used for determining the level of caution by the notification device according to the first embodiment. FIG. [Figure 4] A conceptual diagram showing an example of displaying disaster prevention map information used to determine the level of caution regarding flooding by the notification device of the first embodiment and notification information including warning information on the screen of a mobile terminal. [Figure 5] A conceptual diagram showing an example of displaying disaster prevention map information used to determine the level of caution regarding flooding by the notification device of the first embodiment and notification information including warning information on the screen of a mobile terminal. [Figure 6] A conceptual diagram showing an example of displaying disaster prevention map information used to determine the level of caution regarding flooding by the notification device of the first embodiment and notification information including warning information on the screen of a mobile terminal. [Figure 7]A conceptual diagram showing an example of displaying disaster prevention map information used to determine the level of caution regarding flooding by the notification device of the first embodiment and notification information including warning information on the screen of a mobile terminal. [Figure 8] FIG. 10 is a conceptual diagram showing an example of displaying map information used to determine the level of caution regarding flooding by the notification device of the first embodiment and notification information including warning information on the screen of a mobile terminal. [Figure 9] 3 is a conceptual diagram showing an example of map information associated with disaster prevention map information used for determining the level of caution regarding a tsunami by the notification device according to the first embodiment. FIG. [Figure 10] 3 is a conceptual diagram showing an example of disaster prevention map information used for determining the level of caution regarding a tsunami by the notification device according to the first embodiment. FIG. [Figure 11] FIG. 1 is a conceptual diagram showing an example of displaying disaster prevention map information used to determine the level of caution regarding tsunamis by the notification device of the first embodiment and notification information including warning information on the screen of a mobile terminal. [Figure 12] FIG. 10 is a conceptual diagram showing an example of displaying map information used to determine the level of caution regarding tornadoes by the notification device according to the first embodiment, and notification information including warning information, on the screen of a mobile terminal. [Figure 13] 3 is a conceptual diagram for explaining an example of learning of an estimation model used for estimating attention-calling information by the notification device according to the first embodiment. FIG. [Figure 14] 4 is a conceptual diagram for explaining an example of estimation of attention-calling information using an estimation model by the notification device according to the first embodiment. FIG. [Figure 15] 5 is a flowchart illustrating an example of an operation of the notification device according to the first embodiment. [Figure 16] FIG. 10 is a block diagram showing an example of the configuration of a notification device according to a second embodiment. [Figure 17] FIG. 2 is a block diagram showing an example of a hardware configuration for realizing control and processing according to each embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. However, the embodiments described below are limited in a manner that is technically preferable for carrying out the present invention, but the scope of the invention is not limited to the following. In all drawings used to describe the following embodiments, the same reference numerals are used for similar parts unless otherwise specified. Furthermore, in the following embodiments, repeated explanations of similar configurations and operations may be omitted.

[0013] (First embodiment) First, a notification device according to a first embodiment will be described with reference to the drawings. The notification device of this embodiment acquires location information of a user's mobile device. The notification device of this embodiment also acquires disaster prevention map information issued by local governments and the like. The notification device of this embodiment also acquires weather information released by the Japan Meteorological Agency and the like. The notification device of this embodiment references disaster prevention map information and weather information according to the location information of the user's mobile device. The notification device of this embodiment notifies the user's mobile device of notification information including warning information regarding disasters that may occur at the user's location.

[0014] (composition) FIG. 1 is a block diagram showing an example of the configuration of a notification device 10 according to this embodiment. The notification device 10 includes an acquisition unit 11, a determination unit 13, and an output unit 15. The notification device 10 is connected to a mobile terminal 100 carried by a user via a network (not shown) such as the Internet. The notification device 10 also acquires disaster prevention map information and weather information via the network. In this embodiment, an example is given in which the notification device 10 is implemented in a cloud or a server. The notification device 10 may be realized by application software (also called an app) installed on the mobile terminal 100 used by the user.

[0015] The acquisition unit 11 acquires location information (also called current location) of the mobile terminal 100 carried by the user. For example, the acquisition unit 11 acquires location information measured by a positioning function using a Global Navigation Satellite System (GNSS) installed in the mobile terminal 100.

[0016] The mobile terminal 100 is a communication device that can be carried by a user. For example, the mobile terminal 100 is a communication device with a communication function, such as a smartphone, a smartwatch, or a mobile phone. The mobile terminal 100 may be a dedicated terminal for receiving notification information output from the notification device 10. The mobile terminal 100 has a positioning function using GNSS. For example, the mobile terminal 100 is equipped with a positioning function using GPS (Global Positioning System). The mobile terminal 100 generates location information of the mobile terminal 100 using positioning signals transmitted from artificial satellites such as GPS satellites and quasi-zenith satellites. The mobile terminal 100 transmits the generated location information to the notification device 10.

[0017] The timing of generating / transmitting the location information by the mobile terminal 100 is not particularly limited. For example, the mobile terminal 100 generates / transmits the location information in response to a request from the notification device 10. For example, the mobile terminal 100 generates / transmits the location information at a preset timing. For example, the mobile terminal 100 may generate / transmit the location information in response to detection of the occurrence of a specific disaster by an application installed on the mobile terminal 100.

[0018] The acquisition unit 11 acquires disaster prevention map information including the current location according to the location information (current location) of the user's mobile terminal 100. Disaster prevention map information is map information that indicates the degree of expected damage (also called risk level) for disasters such as floods, tsunamis, high tides, earthquakes, landslides, debris flows, and mudslides, in association with positions on a map. For example, disaster prevention map information is a hazard map issued by a local government. Disaster prevention map information indicates expected damage areas where damage from disasters is expected. For example, a hazard map for floods is created based on the Flood Control Act. In the hazard map, estimated water levels (maximum inundation depths) are color-coded for each position on the map in association with the map. Areas with deep maximum inundation depths correspond to expected damage areas.

[0019] For example, the acquisition unit 11 acquires a hazard map of each local government from a database or website of that local government. For example, the acquisition unit 11 may acquire a hazard map managed by an organization such as the Ministry of Land, Infrastructure, Transport and Tourism or the Bureau of Construction from a database or website managed by the organization. There are no particular limitations on the hazard map as long as the degree of danger (also called risk level) according to the disaster is associated with the map. Disaster prevention map information may include information on not only rivers but also inland waters such as waterworks and sewers. Disaster prevention map information according to the residence or place of stay of the user of the mobile terminal 100 may be pre-registered in the notification device 10.

[0020] In disaster prevention map information, each point on the map is associated with a risk level according to the scale of the disaster. For example, in the case of a river basin, the estimated maximum flood depth is associated with each point on the map. For example, the deeper the maximum flood depth, the greater the risk level according to the scale of the disaster. In disaster prevention map information, the risk level based on the scale of the disaster may not be quantified but may be color-coded on the map. In such cases, the determination unit 13 quantifies the risk level according to the scale of the disaster according to the difference in color or shade based on the scale of the disaster.

[0021] The acquisition unit 11 acquires weather information for an area including the current location according to the location information (current location) of the user's mobile terminal 100. For example, the acquisition unit 11 acquires weather information published by the Japan Meteorological Agency. For example, the weather information includes weather forecasts regarding sunny, cloudy, rainy, snowy, etc. For example, the weather information includes disaster information regarding typhoons, strong winds, localized heavy rain, etc. For example, the weather information includes information regarding water levels at river observation points published by the Ministry of Land, Infrastructure, Transport and Tourism. For example, the weather information includes tsunami information caused by earthquakes. For example, the weather information includes tornado information regarding the occurrence of tornadoes. The weather information is not limited to weather information published by the Japan Meteorological Agency, as long as it includes information regarding weather.

[0022] Weather information may be current, past, or future. Past and current precipitation and snowfall amounts are important for estimating current river flooding. Future precipitation and snowfall amounts are also important for estimating potential river flooding. For example, weather information may include the basin rainfall index published by the Japan Meteorological Agency. The basin rainfall index is an index that predicts river water levels several hours into the future. The basin rainfall index is an index related to the moisture content of the soil in a river basin. For example, by predicting the amount of moisture that exceeds the permeation capacity of the soil of banks built along a river, landslides on slopes can be predicted. Using an index that predicts conditions several hours into the future, such as the basin rainfall index, it is possible to estimate the level of caution required several hours into the future.

[0023] The acquisition unit 11 may acquire information (also referred to as auxiliary information) about local weather from a camera or a sensor installed at a specific location for disaster monitoring. For example, the acquisition unit 11 acquires, as auxiliary information, an image taken by a camera monitoring the water level of a river. For example, the acquisition unit 11 acquires, as auxiliary information, an image taken by a camera monitoring the tide level of the ocean. For example, the acquisition unit 11 acquires, as auxiliary information, an image taken by a camera monitoring the road surface. For example, the acquisition unit 11 acquires, as auxiliary information, seismic intensity measured by a seismometer installed at a specific location. For example, the acquisition unit 11 acquires, as auxiliary information, the amplitude and period of vibration measured by a vibrometer installed on a bridge. There are no particular limitations on the auxiliary information, as long as it is information that supplements weather information.

[0024] The determination unit 13 determines the level of caution required for the current location of the mobile terminal 100 by referring to the disaster prevention map information and weather information. For example, if the mobile terminal 100 is located in an area on the hazard map with a high maximum flood depth (called a flood-prone area), the determination unit 13 determines that the level of caution required for the location of the mobile terminal 100 is high. The flood-prone area corresponds to a damage-prone area. The determination unit 13 determines whether or not to notify warning information for the location (current location) of the mobile terminal 100 according to the weather information.

[0025] When the level of caution required at the location of mobile terminal 100 is high and the probability of a disaster occurring according to the weather information is high, determination unit 13 generates warning information according to the level of caution. For example, when the level of caution required at the location of mobile terminal 100 is high and the probability of a disaster occurring according to the weather information is high, determination unit 13 generates warning information indicating the level of risk regarding a disaster at that location and recommending action according to the level of caution.

[0026] Furthermore, when the level of caution required at the location of mobile terminal 100 is high and the probability of a disaster occurring according to the weather information is low, determination unit 13 generates warning information according to the location. For example, when the level of caution required at the location of mobile terminal 100 is high and the probability of a disaster occurring according to the weather information is low, determination unit 13 generates warning information notifying that the level of caution required regarding a disaster at that location is high.

[0027] The output unit 15 outputs the alert information generated by the determination unit. The output unit 15 outputs notification information including the alert information to the mobile terminal 100 owned by the user. For example, the output unit 15 may output the alert information to a household receiver owned by the user. For example, the output unit 15 may output the alert information to a television (also called a TV) or a radio owned by the user. For example, the output unit 15 may forcibly display the notification information including the alert information on the screen of the mobile terminal 100 owned by the user. Forcibly displaying the notification information including the alert information on the screen of the mobile terminal 100 makes it possible to more reliably present the alert information to the user of the mobile terminal 100. In order to take emergency action in response to a disaster, it is preferable to forcibly display the alert information on the user's mobile terminal 100 as quickly as possible in response to the occurrence of a disaster.

[0028] The mobile terminal 100 receives alert information corresponding to location information (current location) from the notification device 10. The mobile terminal 100 displays the received alert information on a screen. In this embodiment, it is assumed that an application for processing the alert information received from the notification device 10 is installed in the mobile terminal 100. Note that the mobile terminal 100 may be a dedicated terminal specialized for notifying the alert information transmitted from the notification device 10. For example, the mobile terminal 100 may be a household receiver, a television, a radio, or the like. If the user recognizes the alert information transmitted to the mobile terminal 100 and takes action in accordance with the alert information, the user's safety is more likely to be ensured.

[0029] 〔flood〕 Next, an example of warning information regarding river flooding (flooding) will be explained with reference to the drawings. Fig. 2 is a conceptual diagram showing a map of the user's location. The map in Fig. 2 includes two rivers, a pond, railway tracks, and a station. Fig. 3 is an example of a hazard map on the map in Fig. 2, which indicates the estimated water level (maximum inundation depth) in the event of a flood. In Fig. 3, areas with high maximum inundation depth (areas expected to be inundated) are indicated by hatching. The areas expected to be inundated correspond to areas expected to be damaged. As shown in Fig. 3, in the user's location, there are areas with high maximum inundation depth (areas expected to be inundated) in the area sandwiched between two rivers and around a pond. The location of the station is also included in the areas expected to be inundated.

[0030] FIG. 4 shows an example in which an image showing the location information (current location) of mobile device 100 on a hazard map and notification information including warning information corresponding to the current location are displayed on the screen of mobile device 100 in a situation where no flooding has occurred. The user carrying mobile device 100 is currently located at a train station. Part of the station is included in a flood-prone area. The screen of mobile device 100 displays warning information such as "You are currently in a flood-prone area" in accordance with the risk level of the hazard map. The screen of mobile device 100 also displays meteorological information such as "The weather at your current location is sunny. There is no risk of flooding." In addition, the screen of mobile device 100 displays a guideline of action in accordance with the current weather information, such as "In the event of a flood, follow instructions from your local government and evacuate to a safe place."

[0031] By checking the hazard map and notification information displayed on the screen of the mobile terminal 100, the user can recognize that he or she is in a flood-prone area. The user can also recognize information about the weather at the user's current location. Furthermore, the user can refer to the flood-prone area displayed on the hazard map and recognize that it is best to evacuate in the event of a flood. In other words, the user can recognize the situation at his or her current location and guidelines for action in the event of a disaster through the hazard map and notification information displayed on the screen of the mobile terminal 100.

[0032] FIG. 5 shows an example in which, in a flood situation, an image showing the location information (current location) of mobile device 100 on a hazard map and notification information including warning information corresponding to the current location are displayed on the screen of mobile device 100. The hazard map includes evacuation shelters and evacuation routes. A user carrying mobile device 100 is currently located at a train station. Part of the station is included in a flood-prone area. The screen of mobile device 100 displays warning information such as "You are currently in a flood-prone area" according to the risk level of the hazard map. Furthermore, the screen of mobile device 100 displays meteorological information such as "The weather at your current location is heavy rain. The river water level has reached a dangerous level. There is a risk of flooding." Furthermore, the screen of mobile device 100 displays a guideline of action such as "Please evacuate to a nearby evacuation shelter via the evacuation route" according to the current weather information.

[0033] By checking the hazard map and notification information displayed on the screen of the mobile device 100, the user can recognize that he or she is in a flood-prone area. The user can also recognize information about the weather at the current location. Furthermore, the user can refer to the evacuation shelters and evacuation routes displayed on the hazard map in accordance with the action guidelines and recognize that it is better to evacuate to an evacuation shelter. In other words, the user can recognize the situation at his or her current location and the action guidelines at the time of the disaster through the hazard map and notification information displayed on the screen of the mobile device 100.

[0034] FIG. 6 shows an example in which a hazard map of an area where a user plans to stay and notification information including warning information for when the user plans to stay in that area are displayed on the screen of the mobile terminal 100 in a situation where the user is reserving a hotel in that area. The hazard map includes two hotels A and B where the user can stay. Hotel A is not included in the flood risk area. In contrast, Hotel B is included in the flood risk area. The screen of the mobile terminal 100 displays warning information such as "Hotel B is located in the flood risk area" in accordance with the risk level of the hazard map. Furthermore, the screen of the mobile terminal 100 displays meteorological information such as "The weather forecast for that day is heavy rain. There is a risk of flooding." in accordance with the weather information for the day of the user's stay. Furthermore, the screen of the mobile terminal 100 displays a guideline of action such as "Hotel A is recommended" in accordance with the weather information for the day of the user's stay.

[0035] By checking the hazard map and notification information displayed on the screen of the mobile device 100, the user can recognize that the area where the user plans to stay is a flood-prone area. The user can also recognize information about the weather in the area where the user plans to stay on the planned date of stay. Furthermore, the user can refer to the locations of Hotel A and Hotel B displayed on the hazard map and recognize that it would be better to stay at Hotel A. In other words, the user can recognize the situation in the area where the user plans to stay and the guidelines for action on the planned date of stay through the hazard map and notification information displayed on the screen of the mobile device 100. According to the example of FIG. 6, a safe action plan can be presented to the user even in unfamiliar areas.

[0036] FIG. 7 shows an example in which an image showing the location information (current location) of mobile device 100 on a hazard map and notification information including warning information corresponding to the current location are displayed on the screen of mobile device 100 when the user is staying at a hotel. Hotel A is included in the hazard map. Hotel A is not included in the flood risk area. The screen of mobile device 100 displays warning information such as "You are currently near a flood risk area. Your current location is safe," according to the risk level of the hazard map. The screen of mobile device 100 also displays meteorological information such as "The weather at your current location is heavy rain. The river water level has reached a dangerous level. There is a risk of flooding nearby." The screen of mobile device 100 also displays a guideline of action such as "Your current location is safe compared to the surrounding area. Please wait where you are," according to the current weather information.

[0037] By checking the hazard map and notification information displayed on the screen of the mobile device 100, the user can recognize that the area where the user is staying is a flood-prone area. The user can also recognize information about the current weather in the area where the user is staying. Furthermore, the user can refer to the location of Hotel A where the user is staying displayed on the hazard map and recognize that it is better to wait at Hotel A. In other words, the user can recognize the situation in the area where the user is staying and the current guidelines for action through the hazard map and notification information displayed on the screen of the mobile device 100. According to the example of FIG. 7, guidelines for safe action can be presented to the user even in unfamiliar areas.

[0038] FIG. 8 shows an example in which an image showing the location information (current location) of mobile terminal 100 on a map and warning information corresponding to the current location are displayed on the screen of mobile terminal 100 in accordance with weather information for a neighboring municipality. A user carrying mobile terminal 100 is currently staying in City B. A river flows through City B. Upstream of the river is City A. Downstream of the river is City C. Heavy rain is falling in City A in a heavy rain warning zone that includes the river. In accordance with the rainfall in the heavy rain warning zone of City A upstream of the river, warning information such as "Heavy rain is falling in upstream City A. The heavy rain warning zone includes the river" is displayed on the screen of mobile terminal 100. Furthermore, in accordance with the current weather information for upstream City A, weather-related information such as "Rivers are expected to flood in City B as well." is displayed on the screen of mobile terminal 100. Furthermore, in accordance with the current weather information for upstream City A, a guideline of action such as "Stay away from rivers" is displayed on the screen of mobile terminal 100. The screen of the mobile terminal 100 displays a guideline of action, such as "There is a possibility that the river will flood downstream in City C as well. Please be careful when traveling to City C," according to future weather information predicted for City C downstream.

[0039] By checking the map information and notification information displayed on the screen of the mobile terminal 100, the user can recognize that the heavy rain in City A may possibly reach City B where the user is staying. The user can also recognize information related to the weather in the user's current location (City B). Furthermore, the user can recognize that it is better not to go near the river in accordance with the action plan. In other words, the user can recognize the situation that may occur in the user's current location and the action plan at the current time through the map information and notification information displayed on the screen of the mobile terminal 100.

[0040] When a disaster affects multiple municipalities, it is difficult to accurately grasp the impact of the disaster using only information from a single municipality. In the example shown in Figure 8, the impact of the disaster can be accurately grasped by linking meteorological information from multiple municipalities, including surrounding municipalities. For example, by using meteorological information about snowfall in mountainous areas upstream of a river, it is possible to determine the level of caution required regarding river flooding and flooding, including seasonal river flooding.

[0041] 〔tsunami〕 Next, an example of tsunami warning information will be described with reference to the drawings. FIG. 9 is a conceptual diagram showing a map of a user's location. The map in FIG. 9 includes the sea, a beach, a pond, high ground, and the like. FIG. 10 is an example of a hazard map in which areas expected to be flooded by a tsunami are indicated by hatching on the map in FIG. 9. Areas expected to be flooded by a tsunami correspond to areas expected to be damaged. As shown in FIG. 10, areas expected to be flooded by a tsunami exist in the user's location near the sea and around ponds. For example, areas expected to be flooded by a tsunami are determined based on the relationship between the height of the sea level and the height of the tsunami that is expected to arrive.

[0042] FIG. 11 shows an example in which an image showing the position (current location) of mobile device 100 on a hazard map and notification information including warning information corresponding to the current location are displayed on the screen of mobile device 100 in a situation where an earthquake that is expected to cause a tsunami has occurred. Evacuation shelters and evacuation routes are displayed on the screen of mobile device 100. A user carrying mobile device 100 is near the sea. The user's location is included in an area expected to be inundated by a tsunami. The screen of mobile device 100 displays warning information such as "You are currently in an area expected to be inundated by a tsunami" in accordance with the risk level of the hazard map. Furthermore, the screen of mobile device 100 displays information about the tsunami, such as "The earthquake that just occurred had a seismic intensity of 5. A tsunami may occur. The expected height of the tsunami is 2 meters (m)." In addition, the screen of mobile device 100 displays a guideline of action, such as "Evacuate to a shelter on higher ground via the evacuation route," in accordance with the information about the current tsunami.

[0043] By checking the hazard map and notification information displayed on the screen of the mobile device 100, the user can recognize that they are in an area expected to be inundated by a tsunami. The user can also recognize information about earthquakes and tsunamis at their current location. Furthermore, the user can refer to the evacuation shelters and evacuation routes displayed on the hazard map in accordance with the action guidelines and recognize that it is better to evacuate to an evacuation shelter. In other words, through the hazard map and notification information displayed on the screen of the mobile device 100, the user can recognize the situation at their current location and the action guidelines at the current time when a tsunami may occur.

[0044] 〔tornado〕 Next, an example of tornado warning information will be described with reference to the drawings. Fig. 12 shows an example in which an image showing the position (current location) of mobile terminal 100 on a map and notification information including warning information corresponding to the current location are displayed on the screen of mobile terminal 100.

[0045] The location of the user carrying the mobile device 100 is within an area where the atmosphere is unstable and there is a high probability of a tornado occurring. Areas with a high probability of a tornado occurring correspond to areas expected to suffer damage. The probability of a tornado occurring can be obtained from the Japan Meteorological Agency. The screen of the mobile device 100 displays the probability of a tornado occurring in two levels. Tornado probability 1 indicates that there is a possibility of a tornado or other severe gust of wind occurring. Tornado probability 2 indicates that there is a possibility of a tornado or other severe gust of wind occurring and caution is required. Tornado probability 2 has a higher probability of a tornado occurring and a higher accuracy rate than tornado probability 1. The screen of the mobile device 100 displays warning information such as "The atmosphere is unstable. There is a high probability of a tornado occurring at your current location." based on the tornado probability on the map. The screen of the mobile device 100 also displays a guideline of action based on the current tornado information, such as "Prepare for a tornado. If a tornado occurs, take shelter in a sturdy building."

[0046] By checking the map information and notification information displayed on the screen of the mobile terminal 100, the user can recognize that they are in a location where there is a high probability of a tornado occurring. The user can also recognize information about tornadoes in the vicinity of their current location. Furthermore, the user can refer to the probability of a tornado occurring displayed on the map and the notification information according to the course of action and recognize that they should prepare for a tornado occurrence. In other words, through the map information and notification information displayed on the screen of the mobile terminal 100, the user can recognize the situation at their current location and the course of action at the time when there is a possibility of a tornado occurring.

[0047] 〔study〕 The notification device 10 may estimate warning information regarding a possible disaster using a prediction model trained using a machine learning technique. The warning information is information that calls attention to the occurrence or prediction of a disaster such as a flood, tsunami, or tornado.

[0048] FIG. 13 is a conceptual diagram illustrating an example of learning using a dataset in which disaster prevention map information, weather information, and location information are explanatory variables and warning information is a response variable as training data. The learning device 18 learns, as training data, a dataset in which disaster prevention map information, weather information, and location information are explanatory variables and warning information is a response variable for disasters that have occurred in the past or disasters predicted by simulation. For example, the learning device 18 learns, as training data, a dataset in which feature quantities extracted from disaster prevention map information, weather information, and location information are explanatory variables and warning information is a response variable for disasters that have occurred in the past or disasters predicted by simulation. The learning device 18 generates an estimation model 180 that estimates an occurrence event in response to input disaster prevention map information, weather information, and location information. The explanatory variables used to estimate the warning information may include information other than disaster prevention map information, weather information, and location information. For example, the explanatory variables may include time information such as time of day and time zone. Furthermore, the explanatory variables used to estimate the warning information may include only disaster prevention map information and location information without including weather information.

[0049] For example, the learning device 18 performs learning using a neural network (NN) algorithm. For example, the learning device 18 performs learning using a linear regression algorithm. For example, the learning device 18 performs learning using a support vector machine (SVM) algorithm. For example, the learning device 18 performs learning using a Gaussian process regression (GPR) algorithm. For example, the learning device 18 performs learning using a random forest (RF) algorithm. For example, the learning device 18 may perform unsupervised learning that performs classification according to feature data. There are no particular limitations on the learning algorithm performed by the learning device 18.

[0050] FIG. 14 is a conceptual diagram showing an example in which warning information is output from the estimation model 180 in response to input of disaster prevention map information, weather information, and location information. For example, the estimation model 180 outputs warning information in response to input of features related to disaster prevention map information, weather information, and location information. There are no particular limitations on the warning information output from the estimation model 180 as long as it is related to a disaster in response to the location information of the mobile terminal 100. The notification device 10 outputs information in response to the estimation result of the estimation model 180. For example, the notification device 10 determines the level of caution required at the current location using warning information output from the estimation model 180 in response to input of the current location information of the mobile terminal 100. The notification device 10 generates a determination result in response to the estimated level of caution required.

[0051] (operation) Next, the operation of the notification device 10 will be described with reference to the drawings. Fig. 15 is a flowchart for explaining an example of the operation of the notification device 10. In the processing according to the flowchart of Fig. 15, the notification device 10 will be described as the subject of the operation.

[0052] In FIG. 15, first, the notification device 10 acquires the location information (current location) of the mobile terminal 100 (step S11).

[0053] Next, the notification device 10 acquires disaster prevention map information and weather information corresponding to the location information (current location) of the mobile terminal 100 (step S12).

[0054] Next, the notification device 10 determines the level of caution required for the location (current location) of the mobile terminal 100 (step S13). For example, the notification device 10 determines the level of caution required depending on the overlap between the location (current location) of the mobile terminal 100 and the estimated damage area in the disaster prevention map information.

[0055] The notification device 10 outputs warning information according to the level of caution to the mobile terminal 100 (step S14). The notification device 10 also outputs information accompanying the disaster prevention map information and the warning information. The disaster prevention map information and other information output to the mobile terminal 100 are displayed on the screen of the mobile terminal 100.

[0056] As described above, the notification device of this embodiment includes an acquisition unit, a determination unit, and an output unit. The acquisition unit acquires location information of the mobile device. The acquisition unit acquires disaster prevention map information and weather information according to the location information of the mobile device. The determination unit determines the level of disaster caution required at the location of the mobile device by referring to the disaster prevention map information and weather information. The determination unit generates warning information according to the determination result. The output unit outputs the generated warning information to the mobile device.

[0057] In this embodiment, the level of caution required for the location (current location) of the mobile device is determined using disaster prevention map information and weather information corresponding to the location information of the mobile device. In this embodiment, warning information corresponding to the determination result is output to the mobile device. Therefore, according to this embodiment, warning information regarding disasters corresponding to the location of the mobile device can be accurately notified to the user carrying the mobile device.

[0058] In one aspect of the present embodiment, when the location of the mobile device overlaps with a predicted damage area in the disaster prevention map information, the determination unit generates an action guideline according to the level of caution required for the predicted damage area. The output unit outputs the generated action guideline to the mobile device. According to this aspect, the action guideline according to the level of caution required for the location of the mobile device can be notified to the user carrying the mobile device.

[0059] In one aspect of the present embodiment, when the level of caution for the location of the mobile device is high and the probability of a disaster occurring according to the weather information is high, the determination unit generates a guideline of action that recommends an action according to the level of caution. The output unit outputs the generated guideline of action to the mobile device. According to this aspect, when the probability of a disaster occurring is high, the guideline of action that recommends an action according to the level of caution for the location of the mobile device can be notified to the user carrying the mobile device.

[0060] In one aspect of the present embodiment, when the level of caution required for the location of the mobile device is high and the probability of a disaster occurring according to the weather information is low, the determination unit generates alert information notifying the user that the mobile device is in a location where the level of caution required is high. The output unit outputs the generated alert information to the mobile device. According to this aspect, even when the probability of a disaster occurring is low, the alert information indicating that the level of caution required for the location of the mobile device is high can be notified to the user carrying the mobile device.

[0061] In one aspect of this embodiment, the disaster prevention map information is a flood hazard map. The determination unit determines the level of flood caution required for the location of the mobile device based on the overlap between the mobile device and high-risk points on the hazard map, including meteorological information for the area including the location of the mobile device. The determination unit generates warning information corresponding to the level of flood caution required for the location of the mobile device. According to this aspect, the warning information corresponding to the level of flood caution required for the location of the mobile device can be notified to the user carrying the mobile device.

[0062] In one aspect of this embodiment, the disaster prevention map information is a tsunami hazard map. The determination unit determines the level of tsunami caution required for the location of the mobile device based on the overlap between the location of the mobile device and high-risk points on the hazard map, including meteorological information for the area including the location of the mobile device. The determination unit generates alert information corresponding to the level of tsunami caution required for the location of the mobile device. According to this aspect, the alert information corresponding to the level of tsunami caution required for the location of the mobile device can be notified to the user carrying the mobile device.

[0063] In one aspect of the present embodiment, the weather information includes information regarding the likelihood of a tornado occurring. The determination unit determines the level of caution regarding tornadoes at the location of the mobile device based on the overlap between the location of the mobile device and points with a high likelihood of tornado occurrence in an area including the location of the mobile device. The determination unit generates warning information based on the level of caution regarding tornadoes at the location of the mobile device. According to this aspect, the warning information based on the level of caution regarding tornadoes at the location of the mobile device can be notified to the user carrying the mobile device.

[0064] In one aspect of the present embodiment, the output unit forcibly displays the information output to the mobile device on the screen of the mobile device. According to this aspect, by forcibly displaying on the screen of the mobile device the alert information corresponding to the level of attention required at the location of the mobile device, the alert information can be more accurately notified to the user carrying the mobile device.

[0065] The information output from the notification device of this embodiment may be used as reference information for issuing disaster advisories and warnings not only by individual users but also by national and local governments. For example, the results of determining the level of caution required for the location information (current location) of individual users may be aggregated and used as reference information for issuing advisories and warnings. In this way, it becomes possible to issue more accurate advisories, warnings, and evacuation instructions according to the level of caution required for each individual in an area managed by the national or local government.

[0066] (Second embodiment) Next, a notification device according to a second embodiment will be described with reference to the drawings. The notification device of this embodiment has a simplified configuration of the notification device of the first embodiment.

[0067] 16 is a block diagram showing an example of the configuration of the notification device 20 according to this embodiment. The notification device 20 includes an acquisition unit 21, a determination unit 23, and an output unit 25.

[0068] The acquisition unit 21 acquires location information of the mobile terminal 200. The acquisition unit 21 acquires disaster prevention map information and weather information according to the location information of the mobile terminal 200. The determination unit 23 determines the level of caution required for a disaster at the location of the mobile terminal 200 by referring to the disaster prevention map information and weather information. The determination unit 23 generates warning information according to the determination result. The output unit 25 outputs the generated warning information to the mobile terminal 200.

[0069] In this embodiment, the level of caution required for the location (current location) of the mobile device is determined using disaster prevention map information and weather information corresponding to the location information of the mobile device. In this embodiment, warning information corresponding to the determination result is output to the mobile device. Therefore, according to this embodiment, warning information regarding disasters corresponding to the location of the mobile device can be accurately notified to the user carrying the mobile device.

[0070] (Hardware) Here, a hardware configuration for executing control and processing according to each embodiment of the present disclosure will be described using an information processing device 90 in Fig. 17 as an example. Note that the information processing device 90 in Fig. 17 is an example configuration for executing control and processing according to each embodiment, and does not limit the scope of the present disclosure.

[0071] As shown in Fig. 17, an information processing device 90 includes a processor 91, a main storage device 92, an auxiliary storage device 93, an input / output interface 95, and a communication interface 96. In Fig. 17, interface is abbreviated as I / F (Interface). The processor 91, the main storage device 92, the auxiliary storage device 93, the input / output interface 95, and the communication interface 96 are connected to each other via a bus 98 so as to be able to communicate data with each other. The processor 91, the main storage device 92, the auxiliary storage device 93, and the input / output interface 95 are also connected to a network such as the Internet or an intranet via the communication interface 96.

[0072] The processor 91 loads a program stored in an auxiliary storage device 93 or the like into a main storage device 92. The processor 91 executes the program loaded into the main storage device 92. In this embodiment, a software program installed in the information processing device 90 may be used. The processor 91 executes control and processing according to each embodiment.

[0073] The main memory device 92 has an area in which a program is loaded. The processor 91 loads a program stored in the auxiliary memory device 93 or the like into the main memory device 92. The main memory device 92 is realized by a volatile memory such as a DRAM (Dynamic Random Access Memory). Alternatively, a non-volatile memory such as an MRAM (Magneto-resistive Random Access Memory) may be configured / added to the main memory device 92.

[0074] The auxiliary storage device 93 stores various data such as programs. The auxiliary storage device 93 is realized by a local disk such as a hard disk or flash memory. Note that it is also possible to configure the main storage device 92 to store various data, thereby omitting the auxiliary storage device 93.

[0075] The input / output interface 95 is an interface for connecting the information processing device 90 to peripheral devices based on standards and specifications. The communication interface 96 is an interface for connecting to external systems and devices via a network such as the Internet or an intranet based on standards and specifications. The input / output interface 95 and the communication interface 96 may be a common interface for connecting to external devices.

[0076] Input devices such as a keyboard, mouse, and touch panel may be connected to the information processing device 90 as needed. These input devices are used to input information and settings. When a touch panel is used as the input device, the display screen of the display device may also serve as the interface for the input device. Data communication between the processor 91 and the input devices may be mediated by an input / output interface 95.

[0077] The information processing device 90 may also be equipped with a display device for displaying information. When a display device is equipped, the information processing device 90 preferably includes a display control device (not shown) for controlling the display of the display device. The display device may be connected to the information processing device 90 via the input / output interface 95.

[0078] The information processing device 90 may also be equipped with a drive device. The drive device acts as an intermediary between the processor 91 and a recording medium (program recording medium) for reading data and programs from the recording medium, writing the processing results of the information processing device 90 to the recording medium, etc. The drive device may be connected to the information processing device 90 via an input / output interface 95.

[0079] The above is an example of a hardware configuration for enabling control and processing according to each embodiment of the present invention. Note that the hardware configuration in FIG. 17 is an example of a hardware configuration for executing control and processing according to each embodiment and does not limit the scope of the present invention. Furthermore, a program that causes a computer to execute control and processing according to each embodiment is also within the scope of the present invention. Furthermore, a program recording medium on which a program according to each embodiment is recorded is also within the scope of the present invention. The recording medium can be realized, for example, as an optical recording medium such as a CD (Compact Disc) or a DVD (Digital Versatile Disc). The recording medium may also be realized as a semiconductor recording medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) card. The recording medium may also be realized as a magnetic recording medium such as a flexible disk or other recording medium. When a program executed by a processor is recorded on a recording medium, the recording medium corresponds to a program recording medium.

[0080] The components of each embodiment may be combined in any manner, and may be realized by software or by a circuit.

[0081] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. [Explanation of symbols]

[0082] 10 Notification device 11 Acquisition Department 13 Judgment section 15 Output section

Claims

1. an acquisition means for acquiring location information of a mobile device, acquiring disaster prevention map information corresponding to the location information of the mobile device, and past, present, and future weather information at the location of the mobile device, and acquiring auxiliary information that supplements the weather information from a camera or sensor installed for disaster monitoring; a determination means for determining a level of disaster caution required at the location of the mobile terminal by referring to the disaster prevention map information, the weather information, and the auxiliary information, and generating warning information according to the determination result; an output unit that outputs the generated alert information to the mobile terminal; The determination means inputting the acquired feature quantities related to the disaster prevention map information, the weather information, and the location information into an estimation model generated by machine learning so as to output the warning information in response to input of feature quantities related to the disaster prevention map information, the weather information, and the location information; A notification device that estimates, as the warning information, information output from the estimation model in response to input of features related to the disaster prevention map information, the weather information, and the location information.

2. The determination means If the location of the mobile device overlaps with a predicted damage area in the disaster prevention map information, an action guideline is generated according to the level of caution in the predicted damage area; The output means The notification device according to claim 1 , wherein the generated action guidelines are output to the mobile terminal.

3. The determination means generating the action guideline recommending an action according to the level of caution when the level of caution at the location of the mobile terminal is high and the probability of a disaster occurring according to the weather information is high; The output means The notification device according to claim 2 , wherein the generated action guidelines are output to the mobile terminal.

4. The determination means When the level of caution at the location of the mobile terminal is high and the probability of a disaster occurring according to the weather information is low, the mobile terminal generates the warning information notifying the user that the mobile terminal is in a location where the level of caution is high; The output means The notification device according to claim 1 , wherein the generated alert information is output to the mobile terminal.

5. the disaster prevention map information is a hazard map related to floods, The determination means determining the level of caution regarding flooding at the location of the mobile device according to an overlap between the location of the mobile device and high-risk points on the hazard map, including the meteorological information for the area including the location of the mobile device; The notification device according to claim 1 , wherein the warning information is generated according to the level of caution regarding flooding at a location of the mobile terminal.

6. the disaster prevention map information is a tsunami hazard map, The determination means determining the level of caution regarding tsunamis at the location of the mobile device according to an overlap between the location of the mobile device and high-risk points on the hazard map, including the meteorological information for the area including the location of the mobile device; The notification device according to claim 1 , wherein the warning information is generated according to the level of caution required regarding a tsunami at a location of the mobile terminal.

7. The weather information includes information regarding the probability of a tornado occurring, The determination means determining the level of caution regarding tornadoes at the location of the mobile device according to an overlap between the location of the mobile device and the points with a high probability of tornado occurrence in an area including the location of the mobile device; The notification device according to claim 1 , wherein the warning information is generated according to the level of caution regarding a tornado at a location of the mobile terminal.

8. The output means The notification device according to claim 1 , wherein the information output to the mobile terminal is forcibly displayed on a screen of the mobile terminal.

9. The computer Obtain location information of the mobile device, Acquire disaster prevention map information according to the location information of the mobile device and past, present, and future weather information at the location of the mobile device; acquiring auxiliary information that supplements the meteorological information from a camera or sensor installed for disaster monitoring; determining a level of disaster caution required at the location of the mobile terminal by referring to the disaster prevention map information, the weather information, and the auxiliary information; Generates warning information according to the judgment result, outputting the generated alert information to the mobile terminal; In the determination, inputting the acquired feature quantities related to the disaster prevention map information, the weather information, and the location information into an estimation model generated by machine learning so as to output the warning information in response to input of feature quantities related to the disaster prevention map information, the weather information, and the location information; A notification method for estimating, as the warning information, information output from the estimation model in response to input of features related to the disaster prevention map information, the weather information, and the location information.

10. A process of acquiring location information of the mobile device; A process of acquiring disaster prevention map information according to the location information of the mobile device and past, present, and future weather information at the location of the mobile device; A process of acquiring auxiliary information that supplements the meteorological information from a camera or sensor installed for disaster monitoring; a process of determining a level of disaster caution required at the location of the mobile terminal by referring to the disaster prevention map information, the weather information, and the auxiliary information; A process of generating warning information according to the determination result; a process of outputting the generated alert information to the mobile terminal; In the determination process, a process of inputting the acquired feature quantities related to the disaster prevention map information, the weather information, and the location information into an estimation model generated by machine learning so as to output the warning information in response to input of feature quantities related to the disaster prevention map information, the weather information, and the location information; and estimating, as the warning information, information output from the estimation model in response to input of features related to the disaster prevention map information, the weather information, and the location information.

Citation Information

Patent Citations

  • Evacuation support device, evacuation support system, evacuation support method, and evacuation support program

    JP2014182564A

  • Display device, control device, system, and evacuation information provision method

    JP2016153927A

  • Evacuation route notification program, evacuation route notification method, and notification device

    JP2018165960A

  • Vehicle management system

    JP2021012079A