JP7445410B2 - Disaster response server, disaster response method and program - Google Patents

Description

The present invention relates to a disaster response server, a disaster response method, and a program.

2. Description of the Related Art Subtitle information urging evacuation related to disasters, etc. has traditionally been displayed on television screens. By the way, subtitle information that urges evacuation regarding disasters and the like that is displayed on a television screen is usually for each city, ward, town, or village. In other words, cities, wards, towns and villages where residents are urged to evacuate due to disasters, etc. (municipalities, wards, towns and villages that are marked as being at risk of disaster, etc.) only include areas where there is a true risk of disaster, etc. Furthermore, there may be areas where there is almost no risk of disasters occurring.
Therefore, depending only on the subtitle information displayed on the TV screen, for example, after a disaster occurs, it is possible to determine whether the affected house was truly included in an area where a disaster may occur, or whether there is a risk that a disaster may occur. It is not possible to accurately determine whether the area was included in an area where it is thought that there is almost no
Therefore, when multiple homes are damaged by a disaster, it is not possible to appropriately determine which home should be prioritized for recovery (response) based only on the subtitle information displayed on the television screen.

In addition, conventionally, for example, landslide warning information and landslide warning determination mesh information announced by the Japan Meteorological Agency (information that displays the increased risk of landslide disasters due to heavy rain in five different colors for each 5 km square mesh area) Detailed information is provided indicating areas subject to weather or disaster warnings, such as: If landslide warning mesh information were provided to each resident in a city, ward, town, or village where evacuation is encouraged, each resident would be able to determine whether their home truly belongs to an area that requires evacuation or not. It is thought that it is possible to accurately determine whether a home belongs to an area where there is no need for evacuation based on the landslide warning determination mesh information.
However, many residents of cities, wards, towns and villages where evacuations were urged in the past do not know that detailed information such as landslide warning information and landslide warning mesh information has been announced by the Japan Meteorological Agency, and are not aware of such detailed information. The reality is that I have no experience using it.
In addition, even after a disaster occurs, mesh information (detailed information) such as landslide warning determination mesh information is used to determine which of the multiple damaged houses should be prioritized for restoration (response). The reality is that it is not being used.

Patent Document 1 describes a disaster activity support device that supports decisions on matters that should be dealt with preferentially in response to events, accidents, situations, and other information in disaster relief activities. In the technology described in Patent Document 1, disaster information indicating the prediction or occurrence of a disaster is accumulated. Further, each piece of disaster information is given a first priority indicating the degree to which handling should be prioritized, and a second priority that increases as the time elapses from the time when the disaster information is stored in the storage means. Further, disaster information having a large product of the first priority and the second priority is given priority to be dealt with.
By the way, in the technology described in Patent Document 1, even information transmitted orally by residents or the like via a telephone is used as disaster information.
Furthermore, in the technique described in Patent Document 1, the disaster information used to determine the priority of countermeasures is not detailed information for each mesh region, such as landslide warning determination mesh information.
Therefore, depending on the technique described in Patent Document 1, after a disaster occurs, it is not possible to appropriately determine which house among a plurality of damaged houses should be prioritized for treatment (restoration).

Patent Document 2 discloses recovery support that reduces the anxiety of owners or users of elevator equipment by notifying in advance the scheduled time for a technician from an elevator equipment maintenance company to visit the building where the elevator equipment is installed. The equipment is described. In the technology described in Patent Document 2, the scheduled time for restoration patrols to the elevator equipment is determined based on information on the scale of the earthquake transmitted from the remote monitoring device of the elevator equipment and the work schedule of the engineer at the time of the occurrence of the earthquake. Calculated.
By the way, in the technique described in Patent Document 2, the information used to calculate the scheduled recovery patrol time is not detailed information for each mesh area, such as landslide warning determination mesh information.
Therefore, depending on the technique described in Patent Document 2, after a disaster occurs, it is not possible to appropriately determine which of the plurality of affected elevator apparatuses should be prioritized for restoration (response).

Patent Document 3 describes a disaster recovery system in which disaster damage prediction locations are set broadly to include actual disaster damage locations, and the purpose is to grasp specific disaster damage situations. In the technique described in Patent Document 3, the disaster-damaged building prediction means refers to a customer information database and outputs a customer list for the corresponding area. Additionally, information regarding the structure of buildings in the customer list is collated to predict the damaged areas of the corresponding customer's building.
By the way, in the technique described in Patent Document 3, the information used to predict disaster-affected parts of a building is not objective information such as landslide warning determination mesh information.
Therefore, depending on the technology described in Patent Document 3, after a disaster occurs, it is not possible to appropriately determine which building among a plurality of damaged buildings should be prioritized for restoration (response).

Patent Document 4 describes a disaster recovery support system that restores power in an appropriate priority order depending on the customer's situation. In the technique described in Patent Document 4, disaster information including the date and time of occurrence, content, and scale of the disaster is acquired. Additionally, consumer information is stored in the database. In addition, priority customers are identified, including customers where disaster victims are expected to gather and customers whose lives are at risk of being at risk, and the restoration priority of these priority customers is determined. Highly formulated.
By the way, in the technique described in Patent Document 4, the information used to formulate the recovery priority order is not detailed information for each mesh area, such as landslide warning determination mesh information.
Therefore, depending on the technique described in Patent Document 4, after a disaster occurs, it is not possible to appropriately determine which consumer among a plurality of affected consumers should have priority in power restoration (response).

Patent Document 5 describes a wide area disaster recovery support system for elevators. In the technique described in Patent Document 5, observation location information is acquired from an earthquake seismic intensity information distribution service and used.
By the way, Patent Document 5 does not describe which elevator apparatus among the plurality of elevator apparatuses should be prioritized for restoration when a plurality of elevator apparatuses are damaged (stopped).
Therefore, depending on the technique described in Patent Document 5, after a disaster occurs, it is not possible to appropriately determine which of the plurality of affected elevator apparatuses should be prioritized for restoration (response).

Japanese Patent Application Publication No. 2011-197978 Japanese Patent Application Publication No. 2007-126260 Japanese Patent Application Publication No. 2003-173384 Japanese Patent Application Publication No. 2015-177665 Japanese Patent Application Publication No. 2015-131728

In view of the above-mentioned problems, the present invention provides a disaster response system that can appropriately determine, after a disaster occurs, which user's home should be given priority response among a plurality of user's homes whose damage severity exceeds a certain level. The purpose is to provide servers, disaster response methods, and programs.

One aspect of the present invention includes a meteorological disaster information acquisition unit that acquires meteorological disaster information that is information indicating the degree of disaster risk of each area with respect to a plurality of areas that constitute a warning target area regarding weather or disaster; Based on user information including address information or location information of a user's home and the weather disaster information acquired by the weather disaster information acquisition unit, the user's home is located in one of the plurality of areas of the warning target area. a determination unit that determines whether or not the user's home is included in the warning area, and a time-dependent weight is reflected in the disaster risk level of each user's home when the determination unit determines that the user's home is included in the warning area. a disaster severity calculation unit that calculates the disaster severity level and estimates the disaster severity level after the current time based on the temporal change in the disaster severity level before the current time; The disaster response server includes a disaster response unit that determines the disaster severity level of the user's home based on the calculated disaster severity level .

In the disaster response server according to one aspect of the present invention, the warning target area is composed of a plurality of mesh areas, the weather disaster information is information indicating a disaster risk level of each mesh area, and the determination unit is configured to , the disaster response unit determines whether the user's house is included in any of the plurality of mesh areas, and the disaster response unit determines whether or not the user's house is included in any of the plurality of mesh areas; When the disaster severity level of a plurality of user's homes exceeds a certain level, it may be possible to generate and output a priority list that determines the priority order of response of the plurality of user's homes.

In the disaster response server according to one aspect of the present invention, the disaster response unit may be configured to detect a case where the plurality of user's homes are included in any of the plurality of mesh areas, and the disaster severity level of the plurality of user's homes is at the certain level. A response schedule indicating a response order of the plurality of user's homes when the level is exceeded may be formulated, and the response schedule may be formulated based on the disaster severity level of each of the plurality of user's homes.

In the disaster response server according to one aspect of the present invention, the disaster severity level calculation unit may calculate the disaster severity level based on a calculation function that includes the disaster risk level and time of each user's home.

In the disaster response server according to one aspect of the present invention, the disaster severity level calculation unit calculates the disaster severity level of each user's home as the disaster severity level based on one calculation function including the disaster risk level of each user's home and time. The product of risk and time may also be calculated.

In the disaster response server according to one aspect of the present invention, the disaster damage severity calculation unit calculates the disaster damage severity based on an arithmetic function that includes the disaster risk level and time of each user's home and has a positive correlation with time. The severity may also be calculated.

In the disaster response server according to one aspect of the present invention, the disaster severity level calculation unit calculates, as the disaster severity level, a predetermined coefficient K and the nth power of the disaster risk level of each user's home (n is a positive number); The product of the time offset in the time axis direction by a predetermined constant L to the m power (m is a positive number) may be calculated .

In the disaster response server according to one aspect of the present invention, the n may be 1, and the m may be 1.

In the disaster response server according to one aspect of the present invention, the disaster risk level may be set based on the weather disaster information indicating the risk level of each mesh area acquired by the weather disaster information acquisition unit.

In the disaster response server according to one aspect of the present invention, the disaster response unit includes a disaster severity map generation unit, and the disaster severity map generation unit generates a list of the plurality of user homes where the disaster severity level exceeds a certain level. A list of a certain disaster-affected user's house is generated, and the disaster-affected user's house list is generated by sorting the disaster severity level calculated for each user's house by the disaster severity level calculation unit in descending order of the disaster severity level. Good too.

In the disaster response server according to one aspect of the present invention, the disaster severity map generation unit may generate a disaster severity map indicating at least the positions and densities of the plurality of user homes where the disaster severity level exceeds the certain level. good.

In the disaster response server according to one aspect of the present invention, the disaster response unit includes a response schedule formulation unit, and the response schedule formulation unit generates the A response schedule may be established in descending order of disaster severity.

In the disaster response server according to one aspect of the present invention, the meteorological disaster information includes landslide warning determination mesh information, and the determination unit is configured to determine whether the user's home is in the warning target area in the landslide warning determination mesh information. It may be determined whether the mesh area is included in any of the plurality of mesh areas displayed on the map.

The disaster response server according to one aspect of the present invention may include a storage unit that stores the user information.

In the disaster response server according to one aspect of the present invention, the administrator of the disaster response server may be a company that has contracted the construction of the user's home.

One aspect of the present invention includes a meteorological disaster information acquisition step in which the computer acquires meteorological disaster information that is information indicating a warning target area regarding weather or disaster; Determining whether the user's home is included in any of the plurality of areas of the warning target area based on user information including information and the weather disaster information acquired in the weather disaster information acquisition step. a determination step in which the computer determines, when the computer determines in the determination step that the user's home is included in the warning area, a disaster severity level that is a disaster risk level of each user's home that reflects a weight depending on time; a disaster severity level calculation step for calculating the damage severity level after the current time based on the temporal change in the disaster severity level before the current time; A disaster response method includes a disaster response step of determining the severity of disaster at the user's home based on the severity of disaster at the user's home.

One aspect of the present invention includes a step of acquiring weather disaster information, which is information indicating a warning target area regarding weather or disasters, in a computer, and address information or location information of the user's home, which is the user's residence. a determination step of determining whether the user's house is included in any of the plurality of areas of the warning target area based on the user information and the meteorological disaster information acquired in the meteorological disaster information acquisition step; If it is determined in the determination step that the user's home is included in the warning area, calculate the disaster severity level that reflects the weight of the disaster risk of each user's home based on time, and calculate the current disaster severity level. a disaster severity calculation step of estimating the disaster severity after the current time based on the temporal change in the disaster severity before the time, and based on the disaster severity calculated in the disaster severity calculation step, This is a program for executing a disaster response step of determining the severity of damage to the user's home.

According to the present invention, after a disaster occurs, a disaster response server and a disaster response method are capable of appropriately determining which user's home should be prioritized in response among a plurality of user's homes whose damage severity exceeds a certain level. and programs can be provided.

It is a diagram showing an example of a disaster response server according to the first embodiment. FIG. 3 is a diagram illustrating an example of a list of disaster-affected user homes generated by a disaster severity map generation unit. It is a figure showing an example of a disaster degree map generated by a disaster degree map generation part. It is a flowchart for explaining an example of processing executed in the disaster response server of the first embodiment. FIG. 2 is a diagram showing a first application example of the disaster response server of the first embodiment. It is a figure which shows an example of several mesh area|region displayed on a map as a warning target area in landslide warning determination mesh information, etc. FIG. 3 is a diagram for explaining an example in which the content generation unit of the disaster response server of the first embodiment generates alert content. It is a figure which shows the 2nd application example of the disaster response server of 1st Embodiment. It is a figure showing other examples of a disaster response server of a 1st embodiment. FIG. 3 is a diagram for explaining a mesh area including a user's home, a surrounding mesh area located around the mesh area including the user's home, and the like. 10 is a diagram showing a third application example that is an application example of the disaster response server of the first embodiment shown in FIG. 9. FIG. It is a figure which shows the 4th application example which is another application example of the disaster response server of 1st Embodiment shown in FIG. FIG. 7 is a diagram for explaining an example in which the content generation unit of the disaster response server of the second embodiment generates alert content. It is a figure which shows the 1st application example of the disaster response server of 3rd Embodiment.

Embodiments of the disaster response server, disaster response method, and program of the present invention will be described below with reference to the accompanying drawings.

<First embodiment>
FIG. 1 is a diagram showing an example of a disaster response server 1 according to the first embodiment.
In the example shown in FIG. 1, the disaster response server 1 includes, for example, a meteorological disaster information acquisition unit 11, a user information storage unit 12, a first determination unit 13, a content generation unit 14, a content distribution unit 15, and a disaster response 18.
In the example shown in FIG. 1, the disaster response server 1 includes the content generation unit 14 and the content distribution unit 15, but in other examples, the disaster response server 1 does not include the content generation unit 14 and the content distribution unit 15. It's okay.

In the example shown in FIG. 1, the meteorological disaster information acquisition unit 11 acquires meteorological disaster information, which is information indicating a warning area regarding weather or disasters, from outside the disaster response server 1. Meteorological disaster information includes, for example, data on landslide warning information announced by the Japan Meteorological Agency, landslide warning determination mesh information, weather warnings, typhoon information, earthquake information, information on risk distribution of heavy rain warnings (flood damage), etc. .

In the example shown in Figure 1, the warning target area is, for example, the warning target area of the landslide warning determination mesh information announced by the Japan Meteorological Agency, the warning target area of the risk distribution of heavy rain warning (flooding damage) (yellow, red, It is made up of multiple mesh areas, such as areas with light purple and dark purple danger levels.
For example, just as the landslide warning judgment mesh information announced by the Japan Meteorological Agency, the information on the risk distribution of heavy rain warnings (flood damage), etc. are information indicating the risk level of each mesh area, the meteorological disaster information acquisition unit 11 The acquired meteorological disaster information is information indicating the degree of risk of each mesh area.
In other examples, the caution area may be configured by a plurality of areas (specifically, areas that are not "mesh areas"). In this example, the meteorological disaster information (for example, earthquake information, etc.) acquired by the meteorological disaster information acquisition unit 11 is information indicating the degree of risk of each area.

In the example shown in FIG. 1, the user information storage unit 12 stores user information including address information or location information of the user's home, which is the user's residence. The location information is, for example, information such as latitude and longitude (coordinate information). The point indicating the latitude and longitude can be a point on the user's home site, such as the center point of the site, for example, a point on the perimeter of the site, the center of gravity of the site area, or the intersection of diagonals of a rectangular site, etc. , any point on the premises.
In the example shown in FIG. 1, the administrator of the disaster response server 1 is the company that contracted the construction of the user's home. The user information storage unit 12 stores user information including address information or location information of a plurality of user homes for which the administrator of the disaster response server 1 has contracted construction. In another example, the administrator of the disaster response server 1 may not be the company that contracted the construction of the user's home.

In the example shown in FIG. 1, the user information stored in the user information storage unit 12 includes, for example, information (first information) obtained by surveying the construction site and its surroundings before the start of construction work on the user's home. It will be done. The first information includes, for example, the height difference of the site and its surroundings, the angle of the slope, and the like. Further, the first information includes geology, groundwater level, ground strength, and the like. Further, the first information includes the state of structures such as earth retaining walls and retaining walls. Further, the first information includes the condition and depth of the side ditch, waterway, etc.
Further, the user information stored in the user information storage unit 12 includes, for example, information (second information) on the building, site, attached structures, etc. at the time of completion of construction work on the user's home. The second information includes, for example, information such as the shape and form of the building (number of floors, presence or absence of a rooftop, etc.), layout, basic specifications, and the like. Further, the second information includes height differences within the premises and the surrounding area. Further, the second information includes information on newly installed earth retaining walls, retaining walls, fences, and the like.
Further, the user information stored in the user information storage unit 12 includes, for example, information after the delivery of the user's home (third information). The third information includes, for example, information such as building renovation. Further, the third information includes information regarding damage conditions and recovery from past disasters.
Further, the user information stored in the user information storage unit 12 includes, for example, information (fourth information) regarding a resident of the user's home. The fourth information includes, for example, the user's (resident of the user's home) gender, age, place of work, place of school/kindergarten, health condition (level of health), room where the user sleeps, and the like.
The user information stored in the user information storage unit 12 can be utilized for predicting damage and prioritizing relief efforts, for example, when a user's home is damaged by a disaster.

In the example shown in FIG. 1, the first determination unit 13 determines whether the user's home is under warning based on the weather disaster information acquired by the weather disaster information acquisition unit 11 and the user information stored in the user information storage unit 12. Determine whether it is included in the target area. Specifically, the first determination unit 13 determines whether the user's home is included in any of the plurality of areas constituting the warning target area indicated by the meteorological disaster information acquired by the meteorological disaster information acquisition unit 11. do.
In another example, the first determination unit 13 determines whether the user's home is a warning target based on the weather disaster information acquired by the weather disaster information acquisition unit 11 and user information that is directly input to the first determination unit 13, for example. It may also be determined whether the area is included in the area.

In the example shown in FIG. 1, when the first determining unit 13 determines that the user's home is included in the warning area, the content generating unit 14 generates a content generator based on the meteorological disaster information acquired by the meteorological disaster information acquiring unit 11. generate alert content. Specifically, when the user's home is included in one of the plurality of areas constituting the warning target area indicated by the weather disaster information acquired by the weather disaster information acquisition unit 11, the content generation unit 14 detects the user's home. Generate alert content indicating the danger level of the containing area.
The content generation section 14 includes a customization section 14A. The customizing unit 14A customizes a map in which a plurality of mesh areas are displayed in, for example, mesh information for landslide warning determination announced by the Japan Meteorological Agency, information on risk distribution of heavy rain warnings (flood damage), and the like.
The content distribution unit 15 distributes the alert content generated by the content generation unit 14. Specifically, the content distribution unit 15 distributes alert content to terminal devices used by users (for example, all residents of the user's home).

In the example shown in FIG. 1, the disaster response unit 18 determines the severity of disaster at the user's home. Specifically, the disaster response unit 18 determines the severity of disaster damage to the user's home when the first determination unit 13 determines that the user's home is included in one of the plurality of areas constituting the caution area. . The disaster response unit 18 includes a disaster severity calculation unit 18A, a landslide risk information collection unit 18B, a disaster-affected house extraction unit 18C, a disaster severity map generation unit 18D, and a response schedule formulation unit 18E.
The disaster severity level calculation unit 18A calculates the disaster severity level for each user's house, which is a weighted weight of time reflected on the disaster risk level of each user's house. The disaster risk level is set based on weather disaster information that indicates the risk level of each area and is acquired by the weather disaster information acquisition unit 11.
For example, ``extremely dangerous'' out of the 5 levels of risk distribution information published by the Japan Meteorological Agency, such as landslide warning mesh information and heavy rain warning (flood damage) risk distribution information, corresponds to ``disaster risk level 10.'' Among the five levels of information such as landslide warning mesh information and heavy rain warning (flood damage) risk distribution information, ``very dangerous'' corresponds to ``disaster risk level 7.'' Among the five levels of information such as landslide warning mesh information and heavy rain warning (flood damage) risk distribution information, ``warning'' corresponds to ``disaster risk level 3.''``Caution'' out of 5 levels of information such as landslide warning determination mesh information and heavy rain warning (flood damage) risk distribution information corresponds to ``disaster risk level 1.'' Among the five levels of information such as landslide warning mesh information and heavy rain warning (flood damage) risk distribution information, "pay attention to future information, etc." corresponds to "disaster risk level 0."
In another example, the maximum disaster risk reached by the user's home, for example, may be used instead of the disaster risk described above.

In the example shown in FIG. 1, the disaster severity level calculation unit 18A calculates the disaster severity level based on a calculation function that includes the disaster risk level and time of each user's home.
In another example, the disaster severity level calculation unit 18A may calculate the disaster severity level based on the relationship between the disaster risk level, time, and disaster severity level of each user's home, which is obtained through, for example, an experiment.

In the first calculation example, the disaster severity calculation unit 18A calculates the disaster severity level between the disaster risk level and time of each user's home as the disaster severity level based on one calculation function that includes the disaster risk level and time of each user's home. Calculate the product.
In the second calculation example, the disaster severity level calculation unit 18A uses one calculation function that includes the disaster risk level and time for each user's home, or two or more calculation functions that include the disaster risk level and time for each user's home. Calculate disaster severity based on a combination of functions for each time domain. In at least one calculation function that includes the disaster risk level of each user's home and time, the disaster severity level has a positive correlation with time.
For example, the disaster severity calculation unit 18A calculates the disaster severity level S using a predetermined coefficient K and the disaster risk level R of each user's home raised to the nth power (n is a positive number), as shown in the following equation (1). and time t to the power of m (m is a positive number), which is offset by a predetermined constant L in the time axis direction. In the following formula (1), n is, for example, 1, and m is, for example, 1.

S=K×R ⁿ ×(t-L) ^m (1)

In another example, the disaster severity level calculation unit 18A may calculate something other than the product of the disaster risk level of each user's home and time as the disaster severity level. For example, the disaster severity calculation unit 18A calculates the product of the disaster risk level of each user's home and (time) ^1/2 as the disaster severity level. In this example as well, the severity of the disaster increases as time passes.
In each of the above-mentioned examples, the disaster severity curve showing the relationship between the disaster severity calculated by the disaster severity calculation unit 18A and time includes a portion where the disaster severity increases with the passage of time. The disaster severity curve may include a portion where the disaster severity value is maintained at a constant value even over time. On the other hand, the disaster severity curve does not include a portion where the disaster severity decreases over time.

In the example shown in FIG. 1, the disaster severity calculation unit 18A does not have a function of estimating the disaster severity after the current time based on the temporal change in the disaster severity before the current time. In another example, the disaster severity calculation unit 18A may have a function of estimating the disaster severity after the current time based on the temporal change in the disaster severity before the current time.

In the example shown in FIG. 1, the landslide risk information collection unit 18B collects nationwide landslide risk information and heavy rain warning (flood damage) risk distribution from the meteorological disaster information acquired by the weather disaster information acquisition unit 11. Information such as information is collected as list data at regular intervals.
The disaster-affected house extraction unit 18C refers to the user information stored in the user information storage unit 12 and extracts the landslide risk information and heavy rain warning (flood damage) risk collected by the landslide risk information collection unit 18B. Information such as degree distribution is converted and accumulated for each user's home.
The disaster severity map generation unit 18D generates user homes whose damage severity calculated by the disaster severity calculation unit 18A exceeds a certain level (that is, user homes that were affected by the disaster), based on the information accumulated by the disaster-stricken home extraction unit 18C. ) to generate a list of disaster-affected user homes. The list of disaster affected user homes is generated by sorting the disaster severity levels calculated for each user's home by the disaster severity level calculation unit 18A in descending order of disaster severity level.

FIG. 2 is a diagram showing an example of a list of disaster-affected user homes generated by the disaster severity map generation unit 18D.
In the example shown in Figure 2, the list of disaster-affected user homes includes the order of disaster severity ("No."), the disaster-affected user's home ("residence"), the "address" of the disaster-stricken user's home, and the "disaster severity" list. "degree" is written.
Specifically, in the list of disaster-affected user houses, it is written that the disaster severity level of the residence with the highest disaster severity level ("No." = "1") is "120". Next, it is written that the damage severity level of the residence is "118", which has the second highest disaster severity level ("No." = "2"). Next, it is written that the damage severity level of the residence is "110", which has the third highest disaster severity level ("No." = "3").
In addition, the list of disaster-affected users' houses states that the disaster severity level of the house with the 70th highest disaster severity level ("No." = "70") is "80." Next, it is written that the disaster severity level of the □□ residence, which has the 71st highest disaster severity level ("No." = "71"), is "79". Next, it is written that the damage severity level of the △△ house, which has the 72nd highest disaster severity level ("No." = "72"), is "77".

In the example shown in FIG. 2, one disaster-affected user home list (that is, the disaster-affected user home list shown in FIG. 2) is generated by the disaster degree map generation unit 18D.
On the other hand, in another example where a plurality of disaster response teams respond to a disaster at a plurality of disaster-affected users' homes, for example, a list of disaster-affected users' homes as shown in FIG. 2 may be generated for each disaster response team. In this example, it is possible to easily identify disaster response teams that lack disaster response personnel. Further, in this example, for the purpose of statistical processing or the like, a list of disaster-affected user homes for each disaster response team may be collectively sorted and generated by the disaster severity map generation unit 18D.
In still another example, the disaster severity map generation unit 18D generates a list of disaster-affected user homes (sorted in descending order of disaster severity) as shown in FIG. 2, for example, in units of prefectures or municipalities. It's okay.

In the example shown in FIG. 1, the disaster degree map generation section 18D generates a disaster degree map based on the information accumulated by the disaster-affected house extraction section 18C. The disaster severity map is a map showing the location, density, etc. of user homes whose disaster severity exceeds a certain level.

FIG. 3 is a diagram showing an example of a disaster severity map generated by the disaster severity map generation unit 18D.
In the example shown in FIG. 3, the user's home that was affected by the disaster is located in western Japan. Additionally, the density of user homes affected by the disaster is high near Osaka City and Nagoya City.

In the example shown in FIG. 1, when a plurality of user's homes are affected by a disaster, the response schedule formulation unit 18E can generate and output a priority order list that determines the priority order of response for the plurality of user's homes that were affected by the disaster. For example, the response schedule formulation unit 18E may determine whether the disaster severity level of a plurality of user's homes exceeds a certain level, and the plurality of user homes whose damage severity level exceeds a certain level constitutes a warning target area. A priority list can be generated and output if it is included in any of the mesh areas.
The priority list generated by the response schedule formulation unit 18E includes information such as an ID such as the user's contract number, the name of the owner of the user's home, the address of the user's home, the user's telephone number, and the user's email address. It will be done.
The disaster response unit 18 has a function of generating a map linked to the priority list generated by the response schedule formulation unit 18E, a function of making the map viewable, a function of outputting the map, and the like.
For example, the administrator of the disaster response server 1 (the company that contracted the construction of the user's home), etc., creates a response schedule based on the priority list generated by the response schedule formulation unit 18E, a map linked to the priority list, etc. You can create a plan and start responding to each user's home.

In another example, when a plurality of user's homes are affected by a disaster, the response schedule formulation unit 18E may formulate a response schedule that indicates the order of response to the multiple user's homes that were affected by the disaster. For example, the response schedule formulation unit 18E may determine whether the disaster severity level of a plurality of user's homes exceeds a certain level, and the plurality of user homes whose damage severity level exceeds a certain level constitutes a warning target area. If it is included in any of the mesh areas, a corresponding schedule will be formulated.
The response schedule is formulated based on the disaster severity level of each of a plurality of user's homes where the disaster severity level exceeds a certain level. In detail, the response schedule is formulated in descending order of disaster severity of the user's home based on the list of disaster affected user homes generated by the disaster damage map generation unit 18D.
For example, the response schedule formulation unit 18E determines, based on the list of disaster-affected user homes shown in FIG. ▽The response order for the residence is second, the response order for the ◇◇ residence with a disaster severity level of "110" is third, and the response order for the ×× residence with a disaster severity level of "80" is 70th. , a response schedule is created in which the response order for the □□ house with a disaster severity level of "79" is 71st, and the response order for the △△ house with a disaster severity level of "77" is 72nd.
In the example shown in FIG. 1, the administrator of the disaster response server 1 (the company that contracted the construction of the user's home) provides support for the user's home affected by the disaster based on the response schedule formulated by the response schedule formulation unit 18E. .

In detail, the administrator of the disaster response server 1 (the company that contracted the construction of the user's home), for example, calls the user's home in an area that has been damaged by a typhoon or flood to hear about the damage situation. conduct. The administrator of the disaster response server 1 also checks the presence and content of service calls from users' homes. In addition, the administrator of the disaster response server 1 conducts on-site surveys, identifies and estimates necessary repair points, taking into consideration public disaster-level information (issue of warnings and advisories, evacuation orders, infrastructure outage information, etc.). , determine whether or not insurance is applicable, perform repair work, etc.
In the example shown in Figure 1, the criteria for determining whether or not to do these things are ``to what degree of risk of landslide disaster has the user's home reached?'' and ``to what degree of risk of flood disaster has the user's home reached?''"Have you reached it?" is used.
On the website operated by the administrator of the disaster response server 1, information is sorted based on the disaster severity level listed in the list of disaster-affected user homes mentioned above, and calls are received (inquiries) from user homes with a high disaster severity level. is given priority. Frequently Asked Questions (FAQ) and other information will be given priority to user homes with low disaster severity.
For example, the list of disaster-affected user homes generated by the disaster severity map generation section 18D, the response schedule formulated by the response schedule formulation section 18E, etc. are effectively utilized from the day after the disaster occurs. Human resources are utilized efficiently with support tailored to the severity of the disaster. For example, based on the disaster severity map generated by the disaster severity map generation unit 18D, response areas are divided, and within each area, response is performed in descending order of disaster severity.

FIG. 4 is a flowchart for explaining an example of processing executed in the disaster response server 1 of the first embodiment.
In the example shown in FIG. 4, in step S1, the meteorological disaster information acquisition unit 11 acquires meteorological disaster information that is information indicating a warning target area regarding weather or disasters.
Further, in step S2, the user information storage unit 12 stores user information including address information or location information of the user's home, which is the user's residence.
Next, in step S3, the first determination unit 13 determines whether the user's home is included in the warning area based on the weather disaster information acquired in step S1 and the user information stored in step S2. judge. Specifically, in step S3, the first determination unit 13 determines whether the user's home is included in any of the plurality of mesh areas that constitute the caution area.
If it is determined in step S3 that the user's home is included in the warning target area, and if the user's home is actually damaged, in step S4, the disaster response unit 18 determines the severity of the damage of the user's home that has been affected by the disaster. conduct.
Specifically, when multiple user homes are included in any of the multiple mesh areas that make up the alert area, and when multiple user homes are damaged by a disaster, the disaster response unit 18 Develop a response schedule that indicates the order in which homes will be addressed.

Specifically, in the example shown in FIG. 4, in step S41, the disaster severity level calculation unit 18A calculates the disaster severity level, which is the product of the disaster risk level and time of each of a plurality of user's homes affected by the disaster.
Further, in step S42, the landslide risk information collection unit 18B collects nationwide landslide risk information as list data at regular intervals from the meteorological disaster information acquired in step S1.
Next, in step S43, the disaster-affected house extraction unit 18C converts and accumulates the landslide risk information collected in step S42 for each user's house while referring to the user information stored in step S2.
Next, in step S44, the disaster severity map generation unit 18D generates a list of disaster affected user homes and a disaster severity map based on the information accumulated in step S43.
Next, in step S45, the response schedule formulating unit 18E formulates a response schedule in descending order of disaster severity of the disaster-affected user's homes based on the disaster-affected user's home list generated in step S44.

FIG. 5 is a diagram showing a first application example of the disaster response server 1 of the first embodiment.
In the example shown in FIG. 5, the disaster response system X includes a disaster response server 1, a weather disaster information presentation unit A1, and a weather disaster information data distribution unit A2.
For example, the meteorological disaster information announcement department A1, such as the Japan Meteorological Agency, provides information such as landslide warning information, landslide warning determination mesh information, weather warning, typhoon information, earthquake information, heavy rain warning (flooding damage) risk distribution information, etc. Announce weather disaster information such as
For example, the weather disaster information data distribution unit A2, such as a weather data providing service company, distributes the weather disaster information data announced by the weather disaster information presentation unit A1 in a format that can be used (processed).
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 acquires meteorological disaster information data (for example, landslide warning determination mesh information, heavy rain warning (flood damage)) distributed by the meteorological disaster information data distribution unit A2. data such as risk distribution information). For example, in landslide warning determination mesh information and heavy rain warning (flood damage) risk distribution information, warning target areas (areas with increasing risk) are displayed on the map as multiple mesh areas.

FIG. 6 is a diagram showing an example of a plurality of mesh areas displayed on a map as warning target areas in the landslide warning determination mesh information.
In the example shown in Figure 6(A), six mesh areas where the risk of landslide disaster occurrence due to heavy rain is "very dangerous" are shown on the map of the landslide warning determination mesh information as warning target areas. is displayed. The user home of the disaster response server 1 is included in the mesh area corresponding to "very dangerous" on the rightmost and lower side in FIG. 6(A).

In the example shown in FIGS. 5 and 6(A), the first determination unit 13 (see FIG. 1) of the disaster response server 1 determines whether the user's home is in the warning target area (FIG. 6(A)) in the landslide warning determination mesh information. It is determined that the area is included in any of the six mesh areas shown in (). Specifically, the first determination unit 13 determines that the user's home is included in a mesh area corresponding to "very dangerous".
Therefore, the content generation unit 14 (see FIG. 1) of the disaster response server 1 uses the meteorological disaster information acquired by the meteorological disaster information acquisition unit 11 (in detail, if the mesh area including the user's home is (based on the information that the mesh area corresponds to "danger") generates alert content.

FIG. 7 is a diagram for explaining an example in which the content generation unit 14 of the disaster response server 1 of the first embodiment generates alert content.
In the example shown in FIG. 7(A), the content generation unit 14 of the disaster response server 1 generates a mesh area (corresponding to "very dangerous" in FIG. 6(A)) that includes the user's home (see FIG. 6(A)). An e-mail indicating the degree of danger (“very dangerous”) of the rightmost and lower mesh region among the six mesh regions is generated as alert content.
The content distribution unit 15 (see FIG. 1) of the disaster response server 1 transmits the e-mail generated by the content generation unit 14 to the terminal device B1 used by the user.
In the example shown in FIG. 7, the terminal device B1 used by the user is a terminal device carried by the user, such as a smartphone. In other examples, the terminal device B1 may be a mobile terminal device other than a smartphone.

In the example shown in FIG. 7(A), an e-mail message generated by the content generation unit 14 and sent to the user's terminal device B1 by the content distribution unit 15 indicates that the increased risk level in the landslide alert determination mesh information is “very high”. It is written that the user's home is included in the mesh area corresponding to "Dangerous". The e-mail also includes a URL (Uniform Resource Locator) for the user to view a custom map, which will be described later. The user can understand the distribution of the custom map by viewing the URL for viewing the custom map written in the email.
As described above, the customization unit 14A of the content generation unit 14 of the disaster response server 1 creates a plurality of meshes in, for example, landslide warning determination mesh information announced by the Japan Meteorological Agency, information on risk distribution of heavy rain warnings (flood damage), etc. Perform customization of the map on which the region is displayed. In the example shown in FIGS. 6(A) and 6(B), the customizing unit 14A generates the custom map shown in FIG. 6(B) by customizing the map shown in FIG. 6(A).
As shown in FIGS. 6(A) and 6(B), in the custom map shown in FIG. 6(B), the user's home in the map shown in FIG. 6(A) is located in the custom map shown in FIG. 6(B). is moved to a position other than the periphery (specifically, to the center position). In another example, in the custom map, the user's house may be moved to a position other than the center position of the custom map. In this example as well, the user's house is moved to a position other than the periphery of the custom map, and the eight mesh areas (surrounding mesh areas) located around the mesh area that includes the user's house are also included in the custom map. . That is, the map shown in FIG. 6(A) may be used as is as a custom map.
In the example shown in FIG. 7(B), the content distribution unit 15 distributes a custom map (see FIG. 6(B)) that is generated by the customization unit 14A and can be displayed on the terminal device B1.
In the example shown in FIG. 7, a disaster response system X includes a disaster response server 1 and a terminal device B1.

As described above, in the examples shown in FIGS. 1 to 7, the user understands that the danger level of the mesh area including the user's home corresponds to "very dangerous", as shown in FIG. 7(A). be able to. As a result, the user can accurately judge the situation, such as whether there is a real need to evacuate. Specifically, the user can judge the situation in real time without being delayed by announcements by the Japan Meteorological Agency, for example.
Furthermore, in the examples shown in FIGS. 1 to 7, as shown in FIGS. 6(B) and 7(B), the user is not concerned with the risk level of the city, ward, town, or village that includes the user's home, but with the mesh area that includes the user's home. (an area smaller than a city, ward, town, or village) can be understood to be equivalent to "very dangerous".
Further, in the examples shown in FIGS. 1 to 7, as shown in FIGS. 7(A) and 7(B), the user displays meteorological disaster information such as landslide warning determination mesh information announced by the Japan Meteorological Agency. Without the need to view a homepage, it is possible to understand through e-mail that the danger level of the mesh area including the user's home corresponds to "very dangerous".
In addition, in the examples shown in FIGS. 1 to 7, the user uses the custom map to indicate that the danger level of the mesh area including the user's home is "very dangerous" as shown in FIGS. 6(B) and 7(B). It is possible to visually understand the correspondence.
In addition, in the examples shown in FIGS. 1 to 7, as shown in FIGS. 7(A) and 7(B), an alert indicating that the danger level of the mesh area including the user's home corresponds to "very dangerous" Content is distributed to the terminal device B1 carried by the user. Therefore, even when the user is outside the user's home, the user can understand that the risk level of the mesh area including the user's home corresponds to "very dangerous." As a result, a user who is outside the user's home can notify the user inside the user's home of the danger in the user's home and urge them to take measures such as evacuation. Furthermore, a user who is outside the user's home can determine whether or not to avoid returning to the user's home.
Furthermore, in the examples shown in FIGS. 1 to 7, as described above, the administrator of the disaster response server 1 is the company that contracted the construction of the user's home. Therefore, the disaster response server 1 can utilize user information obtained at the time of construction of the user's home to appropriately provide the user with information such as the degree of risk of the mesh area including the user's home.

In the examples shown in FIGS. 1 to 7, as described above, the address information or location information of the user's home is provided by the administrator of the disaster response server 1 (the company that contracted the construction of the user's home), and the user information is stored. However, in another example, the address information or location information of the user's home may be acquired by a device installed at the user's home and stored in the user information storage section 12. In this example, the address information or location information of the user's home is acquired by using, for example, GPS (Global Positioning System), Internet location information, LTE (Long Term Evolution) connection base station information, etc.
Furthermore, in the examples shown in FIGS. 1 to 7, the disaster response server 1 is located outside the user's home. Specifically, the disaster response server 1 is located in an area other than the Kanto region. In other examples, part or all of the disaster response server 1 may be located on the cloud.
Furthermore, in the examples shown in FIGS. 1 to 7, the disaster response server 1 includes an emergency power source and a vibration isolation device. Each component of the disaster response server 1 is located within the same data center and within the same firewall. Therefore, the crisis management and backup system of the disaster response server 1 can be improved.

In the examples shown in FIGS. 1 to 7, as described above, information indicating a weather or disaster-related warning area, and information indicating the degree of risk of each of a plurality of areas constituting the warning area, is a meteorological disaster. Information is acquired by the meteorological disaster information acquisition unit 11. In addition, when the first determination unit 13 determines that multiple user homes are included in the warning area and when multiple user homes are damaged by a disaster, the disaster response unit 18 determines whether the multiple user homes are seriously affected by the disaster. Based on the disaster severity level of each of the user's homes, a response schedule indicating the order of response to the multiple user's homes is formulated.
Therefore, in the examples shown in FIGS. 1 to 7, the disaster response unit 18 appropriately determines the response order for multiple disaster-affected user homes based on meteorological disaster information indicating the degree of risk of each of multiple areas. Can be done.
In other words, in the examples shown in FIGS. 1 to 7, the disaster response unit 18 is able to determine the response order for multiple disaster-affected user homes more appropriately than in the case where the degree of risk of each of multiple areas is not considered. .

Further, for example, in the first calculation example described above, the disaster severity level calculation unit 18A calculates the disaster severity level, which is the product of the disaster risk level and time of each of the plurality of user's homes. Therefore, appropriate disaster response can be carried out taking into account the time that has passed since the disaster occurred.
In the examples shown in FIGS. 6 and 7, the disaster risk level is set based on meteorological disaster information indicating the risk level of each mesh area acquired by the meteorological disaster information acquisition unit 11. Therefore, for example, mesh information (detailed information) such as landslide warning determination mesh information can be effectively utilized for disaster response after a disaster occurs.

FIG. 8 is a diagram showing a second application example of the disaster response server 1 of the first embodiment.
In the example shown in FIG. 8, the disaster response system X includes a disaster response server 1, a weather disaster information presentation unit A1, a weather disaster information data distribution unit A2, and a terminal device B2.
In the example shown in FIG. 8(A), similarly to the example shown in FIG. Announce weather disaster information such as information on risk distribution of warnings (flood damage). The weather disaster information data distribution unit A2 distributes the weather disaster information data announced by the weather disaster information presentation unit A1 in a format that can be used (processed).
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 acquires meteorological disaster information data (for example, landslide warning determination mesh information, heavy rain warning (flood damage)) distributed by the meteorological disaster information data distribution unit A2. data such as risk distribution information).
The first determination unit 13 (see FIG. 1) of the disaster response server 1 determines whether the user's home is in a warning target area (for example, in FIG. It is determined whether the object is included in any of the six mesh regions corresponding to "very dangerous" shown in A).
When the user's home is included in the warning area, the content generation unit 14 (see FIG. 1) of the disaster response server 1 generates alert content based on the weather disaster information acquired by the weather disaster information acquisition unit 11. do.

In the example shown in FIG. 8(B), the content generation unit 14 of the disaster response server 1 generates, for example, an e-mail stating that the danger level of the mesh area including the user's home is "very dangerous" as alert content. generate.
The content distribution unit 15 (see FIG. 1) of the disaster response server 1 transmits the e-mail generated by the content generation unit 14 to the terminal device B2 used by the user.
In the example shown in FIG. 8, the terminal device B2 used by the user is a terminal device, such as a personal computer, located in the user's home. In another example, the terminal device B2 may be a terminal device other than a personal computer (for example, a device such as a television that can be connected to the Internet).

In the example shown in FIG. 8B, the e-mail sent by the content distribution unit 15 to the user's terminal device B2 includes a URL for the user to view the custom map.
In the example shown in FIG. 8(C), the content distribution unit 15 distributes a custom map (see, for example, FIG. 6(B)) that is generated by the customization unit 14A and can be displayed on the terminal device B2.

In the example shown in FIG. 8(B) and FIG. 8(C), unlike the example shown in FIG. 7(A) and FIG. 7(B), the alert content is distributed to the terminal device B2 located in the user's home. Ru. Therefore, in the example shown in FIG. 8, the user inside the user's home can understand that the danger level of the mesh area including the user's home is "very dangerous."

FIG. 9 is a diagram showing another example of the disaster response server 1 of the first embodiment.
In the example shown in FIG. 9, the disaster response server 1 includes, for example, a meteorological disaster information acquisition section 11, a user information storage section 12, a first determination section 13, a content generation section 14, a content distribution section 15, a second It includes a determination section 16, a determination result transmission section 17, and a disaster response section 18.
In the example shown in FIG. 9, the disaster response server 1 includes the content generation unit 14 and the content distribution unit 15, but in other examples, the disaster response server 1 does not include the content generation unit 14 and the content distribution unit 15. It's okay.

In the example shown in FIG. 9, the second determination unit 16 determines the user information stored in the user information storage unit 12, the risk level of the mesh area including the user's home, and the location around the mesh area including the user's home. Based on the degree of danger of the surrounding mesh area, which is a mesh area, it is determined whether the users inside the user's home should evacuate outside the user's home, or whether the users inside the user's home should stay inside the user's home.
The determination result transmitting unit 17 transmits the determination result by the second determination unit 16 as to whether the user in the user's home should evacuate outside the user's home or whether the user in the user's home should stay inside the user's home, so that the user can use the determination result. Send to terminal device B1.

FIG. 10 is a diagram for explaining the mesh area MU including the user's home, the surrounding mesh areas MS1 to MS8 located around the mesh area MU including the user's home, and the like.
In the example shown in FIG. 10(A), six mesh areas M1, M2, MS1, MS2, MS4, and MU where the increased risk of landslide disasters due to heavy rain corresponds to "very dangerous" are target areas. is displayed on the map of the landslide warning determination mesh information. The mesh area MU includes the home of the user of the disaster response server 1.
Of the surrounding mesh regions MS1 to MS8 located around the mesh region MU including the user's home, the surrounding mesh region MS1 is located on the northwest side of the mesh region MU, and the surrounding mesh region MS2 is located on the north side of the mesh region MU. , and the surrounding mesh area MS4 located on the west side of the mesh area MU corresponds to the risk level of "very dangerous".
Among the surrounding mesh regions MS1 to MS8, a surrounding mesh region MS3 located on the northeast side of the mesh region MU, a surrounding mesh region MS5 located on the east side of the mesh region MU, and a surrounding mesh located on the southwest side of the mesh region MU. The area MS6, the surrounding mesh area MS7 located on the south side of the mesh area MU, and the surrounding mesh area MS8 located on the southeast side of the mesh area MU correspond to the risk level of "Pay attention to future information etc." .
In the example shown in FIG. 9 and FIG. 10(A), the second determination unit 16 determines that the user in the user's home is in a surrounding mesh area whose risk level corresponds to "pay attention to future information, etc." It is determined that the users in the user's home should evacuate to the surrounding mesh area MS8, which is a surrounding mesh area that is distant from the mesh areas M1, M2, MS1, MS2, and MS4 corresponding to "very dangerous."

FIG. 11 is a diagram showing a third application example, which is an application example of the disaster response server 1 of the first embodiment shown in FIG.
In the example shown in FIG. 11, the disaster response system X includes a disaster response server 1, a weather disaster information presentation unit A1, a weather disaster information data distribution unit A2, and a terminal device B1.
In the example shown in FIG. 11, similarly to the example shown in FIG. Publish weather disaster information such as information on the risk distribution of natural disasters. The weather disaster information data distribution unit A2 distributes the weather disaster information data announced by the weather disaster information presentation unit A1 in a format that can be used (processed).
The meteorological disaster information acquisition unit 11 (see FIG. 9) of the disaster response server 1 acquires meteorological disaster information data (for example, landslide warning determination mesh information, heavy rain warning (flooding damage)) distributed by the meteorological disaster information data distribution unit A2. data such as risk distribution information).
The first determination unit 13 (see FIG. 9) of the disaster response server 1 determines whether the user's home is in a warning target area (for example, in FIG. It is determined whether it is included in any of the six mesh regions M1, M2, MS1, MS2, MS4, MU shown in A).
When the user's home is included in the warning area, the content generation unit 14 (see FIG. 9) of the disaster response server 1 generates alert content based on the weather disaster information acquired by the weather disaster information acquisition unit 11. do.

In the example shown in FIG. 11A, the content generation unit 14 of the disaster response server 1 determines, for example, the danger level of the mesh area MU including the user's home as "very dangerous" and the surrounding mesh area located on the northwest side of the mesh area MU. The danger level of the area MS1 is "very dangerous", the danger level of the surrounding mesh area MS2 located on the north side of the mesh area MU is "very dangerous", and the danger level of the surrounding mesh area MS3 located on the northeast side of the mesh area MU. "Pay attention to future information, etc.", the danger level of the surrounding mesh area MS4 located on the west side of the mesh area MU is "very dangerous", and the danger level of the surrounding mesh area MS5 located on the east side of the mesh area MU is "future information". ``Pay attention to future information, etc.'', the risk level of the surrounding mesh area MS6 located on the southwest side of the mesh area MU, ``Pay attention to future information, etc.'', and the risk level of the surrounding mesh area MS7 located on the south side of the mesh area MU, ``In the future.'' An e-mail is generated as the alert content, which indicates "Pay attention to future information, etc." and the danger level of the surrounding mesh area MS8 located on the southeast side of the mesh area MU: "Pay attention to future information, etc.".
The content distribution unit 15 (see FIG. 9) of the disaster response server 1 transmits the e-mail generated by the content generation unit 14 to the terminal device B1 used by the user.
In the example shown in FIG. 11, the terminal device B1 used by the user is a terminal device carried by the user, such as a smartphone. In other examples, the terminal device B1 may be a mobile terminal device other than a smartphone.

In the example shown in FIG. 11A, the user views the custom map shown in FIG. The URL for this is listed. The user can understand the distribution of the custom map by viewing the URL for viewing the custom map written in the email.
In the example shown in FIGS. 10(A) and 10(B), the customizing unit 14A (see FIG. 9) customizes the map shown in FIG. 10(B) by customizing the map shown in FIG. 10(A). Generate a map.
As shown in FIGS. 10(A) and 10(B), in the custom map shown in FIG. 10(B), the user's house in the map shown in FIG. 10(A) is located in the custom map shown in FIG. 10(B). is moved to a position other than the periphery (specifically, to the center position). In another example, in the custom map, the user's house may be moved to a position other than the center position of the custom map. In this example as well, the user's house is moved to a position other than the periphery of the custom map, and the eight mesh areas (surrounding mesh areas) located around the mesh area that includes the user's house are also included in the custom map. . That is, the map shown in FIG. 10(A) may be used as is as a custom map.
In the example shown in FIG. 11(B), the content distribution unit 15 distributes a custom map (see FIG. 10(B)) that is generated by the customization unit 14A and can be displayed on the terminal device B1.

As described above, in the examples shown in FIGS. 9 to 11, the content generation unit 14 determines that the risk level of the mesh area MU including the user's home is "very dangerous" and that the mesh area MU including the user's home is located around the mesh area MU. An e-mail is generated indicating the risk level of the surrounding mesh areas MS1, MS2, MS4 as "very dangerous" and the risk level of the surrounding mesh areas MS3, MS5, MS6, MS7, MS8 as "pay attention to future information, etc.".
Therefore, in the examples shown in FIGS. 9 to 11, the user not only has the risk level of the mesh area MU including the user's home "very dangerous" but also the surrounding mesh areas MS1, MS2, and MS4 that have the risk level of "very dangerous". By understanding the risk level of the surrounding mesh areas MS3, MS5, MS6, MS7, and MS8, ``Pay attention to future information, etc.'', the risk level of the surrounding mesh areas MS1, MS2, and MS4 is ``very dangerous'' and the surrounding mesh area. It is possible to think of a more appropriate evacuation route from the user's home than in the case where the risk level "Pay attention to future information, etc." of MS3, MS5, MS6, MS7, and MS8 is not known.

In the example shown in FIGS. 9 to 11, the custom map shown in FIG. 10(B) shows the danger level of the mesh area MU including the user's home as "very dangerous" and the danger level of the surrounding mesh areas MS1, MS2, and MS4 as "very dangerous". "Extremely Dangerous" and the risk level of the surrounding mesh areas MS3, MS5, MS6, MS7, and MS8, "Pay attention to future information, etc." are included. Further, the custom map shown in FIG. 10(B) is distributed by the content distribution unit 15 and displayed on the user's terminal device B1.
Therefore, in the examples shown in FIGS. 9 to 11, the user uses the custom map shown in FIG. It is possible to visually grasp the risk level of ``very dangerous'' and the risk level of surrounding mesh areas MS3, MS5, MS6, MS7, and MS8 of ``pay attention to future information, etc.''.

In the examples shown in FIGS. 9 to 11, as described above, the second determination unit 16 determines whether the user inside the user's home should evacuate outside the user's home or whether the user inside the user's home should stay inside the user's home. The result is transmitted by the determination result transmitter 17 to the user's terminal device B1.
Therefore, in the examples shown in FIGS. 9 to 11, the user can use the determination result transmitted by the determination result transmitting unit 17 as material for determining whether to evacuate outside the user's home or to stay inside the user's home. can.

FIG. 12 is a diagram showing a fourth application example, which is another application example of the disaster response server 1 of the first embodiment shown in FIG.
In the example shown in FIG. 12, the disaster response system X includes a disaster response server 1, a weather disaster information presentation unit A1, a weather disaster information data distribution unit A2, and a terminal device B2.
In the example shown in FIG. 12(A), the meteorological disaster information announcement unit A1 provides risk distribution of, for example, landslide warning information, landslide warning determination mesh information, weather warning, typhoon information, earthquake information, and heavy rain warning (flooding damage). Announce weather disaster information such as information on. The weather disaster information data distribution unit A2 distributes the weather disaster information data announced by the weather disaster information presentation unit A1 in a format that can be used (processed).
The meteorological disaster information acquisition unit 11 (see FIG. 9) of the disaster response server 1 acquires meteorological disaster information data (for example, landslide warning determination mesh information, heavy rain warning (flooding damage)) distributed by the meteorological disaster information data distribution unit A2. data such as risk distribution information).
The first determination unit 13 (see FIG. 9) of the disaster response server 1 determines whether the user's home is in a warning target area (for example, in FIG. It is determined whether it is included in any of the six mesh regions M1, M2, MS1, MS2, MS4, MU shown in A).
When the user's home is included in the warning area, the content generation unit 14 (see FIG. 9) of the disaster response server 1 generates alert content based on the weather disaster information acquired by the weather disaster information acquisition unit 11. do.

In the example shown in FIG. 12(B), the content generation unit 14 of the disaster response server 1 determines, for example, the risk level of the mesh area MU including the user's home as "very dangerous" and the risk level of the surrounding mesh areas MS1, MS2, and MS4. An e-mail containing "very dangerous" and the risk level of the surrounding mesh areas MS3, MS5, MS6, MS7, and MS8 "pay attention to future information, etc." is generated as alert content.
The content distribution unit 15 (see FIG. 9) of the disaster response server 1 transmits the e-mail generated by the content generation unit 14 to the terminal device B2 used by the user.
In the example shown in FIG. 12, the terminal device B2 used by the user is a terminal device placed in the user's home, such as a personal computer. In another example, the terminal device B2 may be a terminal device other than a personal computer (for example, a device such as a television that can be connected to the Internet).

In the example shown in FIG. 12(B), the e-mail sent by the content distribution unit 15 to the user's terminal device B2 includes a URL for the user to view the custom map.
In the example shown in FIG. 12C, the content distribution unit 15 distributes a custom map (see, for example, FIG. 10B) that is generated by the customization unit 14A and can be displayed on the terminal device B2.

In the example shown in FIG. 12, the determination result transmitting unit 17 (see FIG. 9) of the disaster response server 1 determines whether the users in the user's home should evacuate outside the user's home, or whether the users in the user's home should evacuate outside the user's home. The determination result by the second determining unit 16 (see FIG. 9) as to whether the user should stay is transmitted to the user's terminal device B2.

In the example described above, the customization unit 14A executes customization of a map in which multiple mesh areas are displayed in the landslide warning determination mesh information announced by the Japan Meteorological Agency, information on the risk distribution of heavy rain warnings (flood damage), etc. .
In another example, the customization unit 14A may provide information other than landslide warning determination mesh information and information on the risk distribution of heavy rain warnings (flood damage), such as the risk distribution of flood warnings announced by the Japan Meteorological Agency. For example, a map may be customized in which a plurality of areas are displayed (for example, information indicating areas to be warned about earthquakes, etc.).

<Second embodiment>
A second embodiment of the disaster response server, disaster response method, and program of the present invention will be described below.
The disaster response server 1 of the second embodiment is configured in the same manner as the disaster response server 1 of the first embodiment described above, except for the points described below. Therefore, the disaster response server 1 of the second embodiment can achieve the same effects as the disaster response server 1 of the first embodiment described above, except for the points described below.

The disaster response server 1 of the second embodiment is configured similarly to the disaster response server 1 of the first embodiment shown in FIG.
In the first application example of the disaster response server 1 of the second embodiment, the meteorological disaster information announcement unit A1 (see FIG. 5) provides, for example, landslide warning information, landslide warning determination mesh information, weather warning, typhoon information, earthquake information. , announces meteorological disaster information such as information on the risk distribution of heavy rain warnings (flooding damage). The weather disaster information data distribution unit A2 (see FIG. 5) distributes the weather disaster information data announced by the weather disaster information announcement unit A1 in a format that can be used (processed).
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 acquires meteorological disaster information data (for example, landslide warning determination mesh information, heavy rain warning (flood damage)) distributed by the meteorological disaster information data distribution unit A2. data such as risk distribution information).

In the first application example of the disaster response server 1 of the second embodiment, the first determination unit 13 (see FIG. 1) of the disaster response server 1 determines whether the user's home is using landslide warning determination mesh information, heavy rain warning (flood damage), etc. It is determined whether or not the area is included in a caution area (for example, any of the six mesh areas shown in FIG. 6A) in the risk distribution information.
When the first determination unit 13 determines that the user's home is included in the warning area, the content generation unit 14 (see FIG. 1) of the disaster response server 1 generates the content generation unit 14 (see FIG. 1) that generates the content of the meteorological disaster acquired by the meteorological disaster information acquisition unit 11. Generate alert content based on information. The content generation section 14 includes a customization section 14A (see FIG. 1). The customization unit 14A customizes a map in which multiple mesh areas are displayed in the landslide warning determination mesh information announced by the Japan Meteorological Agency, the information on the risk distribution of heavy rain warnings (flood damage), and creates a custom map (Fig. 6(B)).
The content distribution unit 15 (see FIG. 1) of the disaster response server 1 distributes custom maps and the like as alert content generated by the content generation unit 14.

FIG. 13 is a diagram for explaining an example in which the content generation unit 14 of the disaster response server 1 of the second embodiment generates alert content.
In the example shown in FIG. 13, the disaster response system X includes a disaster response server 1, a weather disaster information presentation unit A1, a weather disaster information data distribution unit A2, and a terminal device B1.
In the example shown in FIG. 13(A), the first determination unit determines that the user's house is included in the warning target area in the landslide warning determination mesh information, heavy rain warning (flood damage) risk distribution information, earthquake information, etc. 13, the content distribution unit 15 of the disaster response server 1 transmits a push notification to the terminal device (smartphone) B1 carried by the user. The push notification sent by the content distribution unit 15 is a notification that prompts the user to display a custom map (see FIG. 6(B)) in the dedicated application of the terminal device (smartphone) B1.
In the example shown in FIG. 13(B), the content distribution unit 15 distributes the custom map generated by the customization unit 14A and displayed on the terminal device (smartphone) B1.

As described above, in the first application example of the disaster response server 1 of the second embodiment, a push notification prompting the display of a custom map is sent from the disaster response server 1 to the terminal device (smartphone) B1 carried by the user. Ru. Therefore, it is possible to suppress the possibility that the user will not perform the custom map display operation compared to the case where the push notification is not sent.

In another example of the disaster response server 1 of the second embodiment, the disaster response server 1 is configured similarly to the disaster response server 1 shown in FIG. 9 . In this example, the second determination unit 16 determines the user information stored in the user information storage unit 12, the risk level of the mesh area including the user's home, and the mesh area located around the mesh area including the user's home. Based on the degree of risk of a certain surrounding mesh area, it is determined whether the users inside the user's home should evacuate outside the user's home, or whether the users inside the user's home should stay inside the user's home.
Further, in this example, the determination result transmitting unit 17 transmits the determination result by the second determining unit 16 as to whether the user in the user's home should evacuate outside the user's home or whether the user in the user's home should stay inside the user's home. , is transmitted to the terminal device (smartphone) B1 used by the user.

In the second application example of the disaster response server 1 of the second embodiment, the first determination unit 13 (see FIG. 9) of the disaster response server 1 determines whether the user's home is using landslide warning determination mesh information, heavy rain warning (flood damage), etc. Determine whether or not the area is included in a warning target area (for example, any of the six mesh areas M1, M2, MS1, MS2, MS4, MU shown in FIG. 10(A)) in the information on the risk distribution of .
When the first determination unit 13 determines that the user's home is included in the warning area, the content generation unit 14 (see FIG. 9) of the disaster response server 1 generates a weather disaster information acquired by the weather disaster information acquisition unit 11. Generate alert content based on information. The content generation section 14 includes a customization section 14A (see FIG. 9). The customization unit 14A is configured to create a map (see FIG. 10A) in which multiple mesh areas are displayed, such as landslide warning determination mesh information announced by the Japan Meteorological Agency, risk distribution information for heavy rain warnings (flood damage), etc. Customization is performed to generate a custom map (see FIG. 10(B)).
The content distribution unit 15 (see FIG. 9) of the disaster response server 1 distributes custom maps and the like as alert content generated by the content generation unit 14.

As described above, in the first application example and the second application example of the disaster response server 1 of the second embodiment, the customization unit 14A uses the landslide warning determination mesh information and heavy rain warning (flood damage) announced by the Japan Meteorological Agency. Customize a map that displays multiple mesh areas for information such as risk distribution.
In the third application example of the disaster response server 1 of the second embodiment, the customization unit 14A includes landslide warning determination mesh information such as the risk distribution of flood warnings announced by the Japan Meteorological Agency, and heavy rain warnings (flood damage ) It is also possible to customize a map in which a plurality of areas are displayed in information other than the risk distribution information (for example, information indicating areas subject to earthquake warning).

<Third embodiment>
A third embodiment of the disaster response server, disaster response method, and program of the present invention will be described below.
The disaster response server 1 of the third embodiment is configured in the same manner as the disaster response server 1 of the first embodiment described above, except for the points described later. Therefore, according to the disaster response server 1 of the third embodiment, it is possible to achieve the same effects as the disaster response server 1 of the first embodiment described above, except for the points described below.

The disaster response server 1 of the third embodiment is configured almost the same as the disaster response server 1 of the first embodiment shown in FIG.
FIG. 14 is a diagram showing a first application example of the disaster response server 1 of the third embodiment.
In the example shown in FIG. 14, the disaster response system X includes a disaster response server 1, a weather disaster information presentation unit A1, a weather disaster information data distribution unit A2, and a terminal device B3.
In the example shown in FIG. 14, the meteorological disaster information announcement unit A1 includes, for example, landslide warning information, landslide warning determination mesh information, weather warning, typhoon information, earthquake information, information on risk distribution of heavy rain warning (flood damage), etc. Announce weather disaster information such as The weather disaster information data distribution unit A2 distributes the weather disaster information data announced by the weather disaster information presentation unit A1 in a format that can be used (processed).
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 acquires meteorological disaster information data (for example, landslide warning determination mesh information, heavy rain warning (flood damage)) distributed by the meteorological disaster information data distribution unit A2. data such as risk distribution information).

In the example shown in FIG. 14, the first determination unit 13 (see FIG. 1) of the disaster response server 1 determines whether the user's home is alert based on landslide alert determination mesh information, heavy rain alert (flood damage) risk distribution information, etc. It is determined whether the area is included in the target area (for example, any of the six mesh areas shown in FIG. 6(A)).
When the first determination unit 13 determines that the user's home is included in the warning area, the content generation unit 14 (see FIG. 1) of the disaster response server 1 generates the content generation unit 14 (see FIG. 1) that generates the content of the meteorological disaster acquired by the meteorological disaster information acquisition unit 11. Generate alert content based on information. Specifically, the content generation unit 14 generates, as alert content, an automatic voice message indicating the degree of danger of the mesh area including the user's home (see FIG. 6A) as "very dangerous".
The content distribution unit 15 (see FIG. 1) of the disaster response server 1 transmits an automatic voice message as alert content generated by the content generation unit 14 to the terminal device (telephone) B3 used by the user.

As described above, in the first application example of the disaster response server 1 of the third embodiment, when the user's home is included in the warning area, an automatic voice message indicating the degree of risk of the mesh area including the user's home is sent to the user. The information is sent to the terminal device (telephone) B3 used by the user. Therefore, in the first application example of the disaster response server 1 of the third embodiment, even if the user cannot operate a smartphone, personal computer, etc., the user can grasp the degree of danger in the mesh area including the user's home. .

As described above, in the first application example of the disaster response server 1 of the third embodiment, the first determination unit 13 determines whether the user's home is using landslide warning determination mesh information, heavy rain warning (flood damage) risk distribution Determine whether or not the area is included in the warning area according to information etc.
In the second application example of the disaster response server 1 of the third embodiment, the first determination unit 13 uses landslide warning determination mesh information such as risk distribution of flood warnings announced by the Japan Meteorological Agency, and heavy rain warning ( It may be determined whether the user's home is included in a warning area in information other than information on the risk distribution of flood damage (for example, information indicating a warning area regarding earthquakes, etc.).

Although the mode for implementing the present invention has been described above using embodiments, the present invention is not limited to these embodiments in any way, and various modifications and substitutions can be made without departing from the gist of the present invention. can be added. The configurations described in each of the embodiments and examples described above may be combined as appropriate.

In addition, all or part of the functions of each part provided in the disaster response system It may also be realized by loading a program into a computer system and executing it. Note that the "computer system" herein includes hardware such as an OS and peripheral devices.
Furthermore, the term "computer-readable recording medium" refers to portable media such as flexible disks, magneto-optical disks, ROMs, and CD-ROMs, and storage units such as hard disks built into computer systems. Furthermore, a "computer-readable recording medium" refers to a storage medium that dynamically stores a program for a short period of time, such as a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. In that case, it may also include a device that retains a program for a certain period of time, such as a volatile memory inside a computer system that is a server or client. Further, the program may be one for realizing a part of the above-mentioned functions, or may be one that can realize the above-mentioned functions in combination with a program already recorded in the computer system.

DESCRIPTION OF SYMBOLS 1...Disaster response server, 11...Meteorological disaster information acquisition part, 12...User information storage part, 13...First judgment part, 14...Content generation part, 14A...Customization part, 15...Content distribution part, 16...Second judgment Part, 17... Judgment result transmitting unit, 18... Disaster response unit, 18A... Disaster severity calculation unit, 18B... Landslide risk information collection unit, 18C... Disaster affected house extraction unit, 18D... Disaster level map generation unit, 18E... Response schedule formulation department,

Claims (17)

a meteorological disaster information acquisition unit that acquires meteorological disaster information, which is information indicating the degree of disaster risk of each region, for multiple regions constituting a weather or disaster- related warning area;
Based on user information including address information or location information of the user's home, which is the user's home, and the weather disaster information acquired by the weather disaster information acquisition unit, the user's home is located in the plurality of areas in the warning target area. a determination unit that determines whether or not the area is included in any of the areas ;
If the determination unit determines that the user's home is included in the warning area, calculate the disaster severity level that reflects the weight of time on the disaster risk level of each user's home, and a disaster severity calculation unit that estimates the disaster severity after the current time based on the temporal change in the disaster severity;
and a disaster response unit that determines the disaster severity level of the user's home based on the disaster severity level calculated by the disaster severity level calculation unit.
Disaster response server. The warning target area is composed of a plurality of mesh areas,
The meteorological disaster information is information indicating the degree of disaster risk in each mesh area,
The determination unit determines whether the user's home is included in any of the plurality of mesh areas,
The disaster response unit is configured to control the disaster response section of the plurality of user's homes when the plurality of user's homes are included in any of the plurality of mesh areas, and when the disaster severity level of the plurality of user's homes exceeds a certain level. It is possible to generate and output a priority list that determines the priority of responses,
The disaster response server according to claim 1. The disaster response unit is configured to respond to the disaster response unit when a plurality of users' homes are included in any of the plurality of mesh areas, and when the disaster severity level of the plurality of users' homes exceeds the certain level. Develop a response schedule that indicates the order in which homes should be addressed;
The response schedule is formulated based on the disaster severity level of each of the plurality of user homes.
The disaster response server according to claim 2. The disaster severity level calculation unit calculates the disaster severity level based on a calculation function including the disaster risk level and time of each user's home.
The disaster response server according to claim 1. The disaster severity calculation unit is
Calculating the product of the disaster risk level of each user's home and time as the disaster severity level based on one arithmetic function including the disaster risk level of each user's home and time;
The disaster response server according to claim 4. The disaster severity level calculation unit calculates the disaster severity level based on an arithmetic function that includes the disaster risk level of each user's home and time and has a positive correlation with time .
The disaster response server according to claim 4. The disaster severity level calculation unit calculates, as the disaster severity level,
a predetermined coefficient K;
The n-th power of the disaster risk level of each user's home (n is a positive number),
Calculate the product of the time offset in the time axis direction by a predetermined constant L to the m power (m is a positive number).
The disaster response server according to claim 6. The n is 1, and the m is 1.
The disaster response server according to claim 7. The disaster risk level is set based on the weather disaster information indicating the risk level of each mesh area acquired by the weather disaster information acquisition unit.
The disaster response server according to claim 2 or claim 3. The disaster response unit includes a disaster degree map generation unit,
The disaster damage level map generation unit generates a disaster affected user home list that is a list of the plurality of user homes where the disaster damage severity level exceeds a certain level;
The disaster affected user house list is generated by sorting the disaster severity levels calculated for each user house by the disaster severity level calculation unit in descending order of the disaster severity level.
The disaster response server according to claim 1. The disaster severity map generation unit generates a disaster severity map indicating at least the positions and densities of the plurality of user homes where the disaster severity level exceeds the certain level.
The disaster response server according to claim 10 . The disaster response department includes a response schedule formulation department,
The response schedule formulation unit formulates a response schedule in descending order of disaster severity based on the list of disaster-affected user homes generated by the disaster severity map generation unit.
The disaster response server according to claim 10 or 11 . The meteorological disaster information includes landslide warning determination mesh information,
The determination unit determines whether the user's house is included in any of the plurality of mesh areas displayed on the map as the warning target area in the landslide warning determination mesh information.
The disaster response server according to claim 2 or claim 3. comprising a storage unit that stores the user information;
The disaster response server according to any one of claims 1 to 13 . The administrator of the disaster response server is the company that contracted the construction of the user's home.
The disaster response server according to any one of claims 1 to 14 . a meteorological disaster information acquisition step in which the computer acquires meteorological disaster information, which is information indicating the degree of disaster risk of each area, for a plurality of areas constituting a warning target area regarding weather or disaster;
The computer determines whether the user's home is in the warning area based on user information including address information or location information of the user's home, which is the user's home, and the weather disaster information acquired in the weather disaster information acquisition step. a determining step of determining whether the area is included in any of the plurality of areas ;
When the computer determines in the determination step that the user's home is included in the warning area, the computer calculates a disaster damage severity level that reflects the weight of time on the disaster risk level of each user's home; a disaster severity level calculation step of estimating the disaster severity level after the current time based on the temporal change in the disaster severity level before the current time;
a disaster response step in which the computer determines the disaster severity level of the user's home based on the disaster severity level calculated in the disaster severity level calculation step ;
Disaster response methods to prepare for. to the computer,
a meteorological disaster information acquisition step of acquiring meteorological disaster information, which is information indicating the degree of disaster risk of each area, for a plurality of areas constituting a weather or disaster-related warning area;
Based on user information including address information or location information of the user's home, which is the user's home, and the weather disaster information acquired in the weather disaster information acquisition step, the user's home is located in the plurality of areas in the warning target area. a determination step of determining whether or not the area is included in any of the areas ;
If it is determined in the determination step that the user's home is included in the warning area, a disaster damage severity level that reflects the weight of time on the disaster risk level of each user's home, and a disaster severity level calculation step of estimating the disaster severity level after the current time based on the temporal change in the disaster severity level;
a disaster response step of determining the disaster severity level of the user's home based on the disaster severity level calculated in the disaster severity level calculation step ;
A program to run .

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