JP2020098581A - Disaster response server, method for responding to disaster, and program - Google Patents

Abstract

To adequately determine which user's house is to be dealt with first of all the users' houses that are beyond a certain level of the disaster severity.SOLUTION: The information providing server acquires weather disaster information showing an alert target region in relation to the weather or disasters, determines whether the house of a user is in the alert target region according to user information including the address information and the positional information of the user's house and the weather disaster information, and determines the severity of the disaster on the user's house if the user's house is in the alert target region. The alert target region is made of a plurality of regions, and the weather disaster information shows the level of danger of each region. A determination unit determines whether the user's house is in any of the regions. A disaster response unit calculates the severity of disasters, which is obtained by reflecting the weight by time on the level of danger of the user's house.SELECTED DRAWING: Figure 1

Description

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

Conventionally, subtitle information prompting evacuation regarding a disaster or the like has been displayed on a television screen. By the way, the subtitle information that is displayed on the TV screen and prompts evacuation regarding a disaster or the like is usually in units of municipalities. In other words, municipalities where residents are urged to evacuate with regard to disasters (municipalities that are indicated as having the potential to cause disasters) are only available in areas where there is a real risk of disasters. However, there is a possibility that there is an area where there is almost no risk of a disaster.
Therefore, depending on only the subtitle information displayed on the TV screen, for example, after the disaster, whether the damaged house was included in the area where a true disaster might occur, or a disaster might occur It is not possible to accurately grasp whether or not it was included in the area that is considered to be almost empty.
Therefore, it is not possible to appropriately determine which house should be prioritized for restoration (correspondence) when a plurality of houses are damaged by only the subtitle information displayed on the TV screen.

Further, conventionally, for example, landslide disaster warning information and landslide disaster warning judgment mesh information announced by the Japan Meteorological Agency (information indicating the increased risk of landslide disaster due to heavy rain in five stages in each mesh area of 5 km square) Detailed information is provided that indicates areas of concern for weather or disasters, such as. If the landslide disaster warning judgment mesh information is provided to each inhabitant of the municipality where evacuation is urged, does each inhabitant belong to an area that really needs evacuation? , It is considered that it is possible to accurately determine whether the home belongs to an area where evacuation is not necessary, based on the sediment disaster warning determination mesh information.
However, many residents of the municipalities that were evacuated in the past did not know that detailed information such as sediment disaster warning information and sediment disaster warning judgment mesh information was announced by the Meteorological Agency, and such detailed information was not available. The reality is that I have no experience of using it.
In addition, even after a disaster occurs, mesh information (detailed information) such as sediment-related disaster warning judgment mesh information is used to determine which of the multiple damaged houses should be given priority for restoration (response). The reality is that it is not used.

Patent Literature 1 describes a disaster activity support device that assists in determining a matter to be preferentially dealt with in accordance with information such as an event, an accident, and a situation in disaster activity. In the technology described in Patent Document 1, disaster information indicating the prediction or occurrence of a disaster is accumulated. Further, for each piece of disaster information, a first priority indicating the degree to which the countermeasure should be prioritized and a second priority that is greater as the time elapsed from the time of being accumulated in the accumulating means are increased. Further, disaster information having a large product of the first priority and the second priority is prioritized and dealt with.
By the way, in the technology described in Patent Document 1, even information verbally transmitted by a resident or the like via a telephone is used as disaster information.
Further, in the technique described in Patent Document 1, the disaster information used to determine the priority of the countermeasure is not detailed information for each mesh area such as sediment-related disaster warning determination mesh information.
Therefore, according to the technique described in Patent Document 1, it is not possible to appropriately determine which of a plurality of damaged houses should be prioritized for handling (restoring) after a disaster occurs.

In Patent Document 2, restoration assistance is provided in advance to notify a scheduled traveling time of an engineer of a maintenance company of an elevator device to a building in which the elevator device is installed to reduce anxiety of an elevator device owner or a user. The device is described. In the technique described in Patent Document 2, the scheduled time for the recovery patrol to the elevator device is based on the information on the magnitude of the earthquake transmitted from the remote monitoring device of the elevator device and the work schedule of the engineer when the earthquake occurs. It is calculated.
By the way, in the technique described in Patent Document 2, the information used for calculation of the scheduled recovery patrol time is not detailed information for each mesh region such as sediment disaster warning mesh information.
Therefore, according to the technique described in Patent Document 2, after the disaster occurs, it is not possible to appropriately determine which elevator device of the plurality of damaged elevator devices should be prioritized for restoration (correspondence).

Patent Document 3 describes a disaster recovery system in which the disaster-predicted location is widely set so as to include the actual disaster-affected location, and the purpose of grasping a concrete disaster situation is to be described. In the technique described in Patent Document 3, the damaged building prediction means refers to the customer information database and outputs the customer list of the corresponding area. In addition, the information on the structure of the building in the customer list is collated, and the damaged location of the building of the corresponding customer is predicted.
By the way, in the technique described in Patent Document 3, the information used for predicting the damaged portion of the building is not objective information such as sediment disaster warning determination mesh information.
Therefore, with the technology described in Patent Document 3, it is not possible to appropriately determine which of a plurality of damaged buildings should be prioritized for restoration (correspondence) after a disaster occurs.

Patent Document 4 describes a disaster recovery support system that restores power in an appropriate priority order according to the situation of a customer. According to the technique described in Patent Document 4, disaster information including date and time of disaster occurrence, contents, and scale is acquired. In addition, customer information is stored in the database. In addition, priority consumers are identified, including those who are expected to be affected by the disaster and those who are expected to be at risk of life, and the priority of restoration of this priority consumer is determined. Highly formulated.
By the way, in the technique described in Patent Document 4, the information used for formulating the restoration priority order is not the detailed information for each mesh area such as the earth and sand disaster warning determination mesh information.
Therefore, according to the technology described in Patent Document 4, it is not possible to appropriately determine which of a plurality of customers who have suffered a disaster should prioritize power restoration (correspondence) after a disaster occurs.

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

JP, 2011-197978, A JP, 2007-126260, A JP, 2003-173384, A JP, 2005-177665, A JP, 2005-131728, A

In view of the above-mentioned problems, the present invention can appropriately determine, after a disaster has occurred, which user's home of a plurality of user's homes whose severity has exceeded a certain level should be prioritized. The purpose is to provide a server, a disaster response method, and a program.

One aspect of the present invention includes a meteorological disaster information acquisition unit that acquires meteorological disaster information that is information indicating a warning target area related to weather or disaster, and user information that includes address information or position information of a user's house that is a user's residence. A determination unit that determines whether or not the user's home is included in the warning target area based on the weather disaster information acquired by the weather disaster information acquisition unit; When it is determined by the determination unit that it is included, a disaster response unit that performs a disaster severity determination of the user's home is provided, and the warning target area is configured by a plurality of areas, and the meteorological disaster information is , The information indicating the degree of danger of each area, the determining unit determines whether the user's house is included in any of the plurality of areas, and the disaster response unit includes a disaster severity calculating unit. The disaster severity calculating unit is a disaster response server that calculates the disaster severity that reflects the weight of time in the disaster risk of each user's house.

In the disaster response server of one aspect of the present invention, the warning target area is configured by a plurality of mesh areas, the meteorological disaster information is information indicating the degree of risk of each mesh area, the determination unit, When the user's home is included in any of the plurality of mesh regions, the disaster response unit determines that the plurality of user's homes are included in any of the plurality of mesh regions, and When the disaster severity of the user's home exceeds a certain level, it may be possible to generate and output a priority order list defining the priority order of the correspondence of the plurality of user's homes.

In the disaster response server according to an aspect of the present invention, the disaster response unit may be configured such that, when a plurality of user homes are included in any of the plurality of mesh regions, the disaster severity of the plurality of user homes is the constant. When the level is exceeded, a correspondence schedule indicating a correspondence order of the plurality of user homes may be prepared, and the correspondence schedule may be prepared based on the disaster severity of each of the plurality of user homes.

In the disaster response server according to an aspect of the present invention, the disaster severity calculating unit may calculate the disaster severity based on an arithmetic function including a disaster risk of each user's home and time.

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

In the disaster response server of one aspect of the present invention, the disaster severity calculating unit includes one arithmetic function including the disaster risk and time of each user's house, or the disaster risk and time of each user's house. The disaster severity is calculated based on a combination of two or more arithmetic functions for each time domain, and in at least one arithmetic function including the disaster risk and time of each user's house, the disaster severity is , May have a positive correlation with time.

In the disaster response server according to an aspect of the present invention, the disaster severity calculating unit has, as the disaster severity, a predetermined coefficient K and a disaster risk degree of each user's house to the n-th power (n is a positive number). It may be calculated by offsetting the product of time and the m-th power (m is a positive number) by a predetermined constant L in the time axis direction.

In the disaster response server of 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 severity calculating unit further has a function of estimating the disaster severity after the current time based on a temporal change in the disaster severity before the current time. May be.

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

In the disaster response server of one aspect of the present invention, the disaster response unit includes a damage level map generation unit, and the damage level map generation unit is a list of the plurality of user homes in which the damage severity level exceeds a certain level. A certain disaster-affected user home list is generated, and the disaster-affected user home list is generated by sorting the disaster severity calculated for each user home by the disaster severity calculation unit in descending order of the disaster severity. Good.

In the disaster response server according to an aspect of the present invention, the disaster severity map generation unit may generate a disaster severity map indicating at least positions and densities of the plurality of user homes with the disaster severity exceeding the predetermined level. Good.

In the disaster response server according to an aspect of the present invention, the disaster response unit includes a response schedule formulation unit, and the response schedule formulation unit, based on the disaster user home list generated by the disaster degree map generation unit, Response schedules may be formulated in descending order of severity of disaster.

In the disaster response server of one aspect of the present invention, the meteorological disaster information includes landslide disaster caution determination mesh information, and the determining unit determines that the user's house is in the landslide disaster caution determination mesh information in the caution target area. Alternatively, it may be determined whether or not it is included in any of the plurality of mesh regions displayed on the map.

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

In the disaster response server of one aspect of the present invention, the administrator of the disaster response server may be a company that undertakes a construction contract for the user's house.

One aspect of the present invention includes a meteorological disaster information acquisition step of acquiring meteorological disaster information, which is information indicating a warning target area related to weather or disaster, and user information including address information or position information of a user's house which is a user's residence. A determination step of determining whether or not the user's home is included in the warning target area based on the weather disaster information acquired in the weather disaster information acquisition step; When it is determined in the determination step that it is included, it comprises a disaster response step of determining the disaster severity of the user's house, the warning target area is configured by a plurality of areas, the weather disaster information is , Information indicating the degree of danger of each area, in the determination step, it is determined whether or not the user's home is included in any of the plurality of areas, and in the disaster response step, the disaster risk of each user's home This is a disaster response method in which the severity of disaster is calculated, which reflects the weight of each time.

According to an aspect of the present invention, a computer includes a meteorological disaster information acquisition step of acquiring meteorological disaster information, which is information indicating a warning target area related to weather or disaster, and address information or position information of a user's house which is a user's residence. A determination step of determining whether or not the user's home is included in the warning target area based on the user information and the weather disaster information acquired in the weather disaster information acquisition step; A program for executing a disaster response step of performing a disaster severity determination of the user's home when it is determined in the determination step that it is included in the target area, and the alert target area is defined by a plurality of areas. It is configured, the weather disaster information is information indicating the degree of risk of each region, in the determination step, it is determined whether the user home is included in any of the plurality of regions, the disaster The response step is a program for calculating a disaster severity that reflects the weight of time in the disaster risk of each user's house.

According to the present invention, after a disaster occurs, a disaster response server and a disaster response method capable of appropriately determining which of the user homes of the plurality of user homes whose severity levels have exceeded a certain level should be prioritized. And a program can be provided.

It is a figure which shows an example of the disaster response server of 1st Embodiment. It is a figure which shows an example of a disaster user house list produced|generated by the disaster degree map production|generation part. It is a figure which shows an example of the damage degree map produced|generated by the damage degree map production|generation part. It is a flow chart for explaining an example of processing performed in a disaster response server of a 1st embodiment. It is a figure which shows the 1st application example of the disaster response server of 1st Embodiment. It is a figure which shows an example etc. of the some mesh area displayed on a map as an alert target area in earth and sand disaster alert determination mesh information. It is a figure for demonstrating an example which the content production|generation part of the disaster response server of 1st Embodiment produces|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 which shows the other example of the disaster response server of 1st Embodiment. It is a figure for demonstrating the mesh area containing a user's house, the surrounding mesh area located in the periphery of the mesh area containing a user's house, etc. It is a figure which shows the 3rd application example which is an application example of the disaster response server of 1st Embodiment shown in 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. It is a figure for demonstrating an example etc. which a content production|generation part of the disaster response server of 2nd Embodiment produces|generates alert content. It is a figure which shows the 1st application example of the disaster response server of 3rd Embodiment.

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

<First Embodiment>
FIG. 1 is a diagram showing an example of the disaster response server 1 of the first embodiment.
In the example illustrated in FIG. 1, the disaster response server 1 includes, for example, a weather 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. And a section 18.
In the example shown in FIG. 1, the disaster response server 1 includes the content generation unit 14 and the content delivery unit 15, but in another example, the disaster response server 1 does not include the content generation unit 14 and the content delivery unit 15. May be.

In the example shown in FIG. 1, the meteorological disaster information acquisition unit 11 acquires, from the outside of the disaster response server 1, meteorological disaster information, which is information indicating a warning target area regarding weather or a disaster. The meteorological disaster information includes, for example, data relating to sediment-related disaster warning information, sediment-related disaster warning judgment mesh information, weather warning, typhoon information, earthquake information, and heavy rain warning (flood damage) risk distribution information announced by the Meteorological Agency. ..

In the example shown in FIG. 1, the warning target area is, for example, the warning target area of the landslide disaster warning judgment mesh information announced by the Meteorological Agency, the warning target area of the information of the degree of risk distribution of heavy rain warning (flood damage) (yellow, red, Areas where the degree of danger of light purple or dark purple has appeared), etc., and are composed of multiple mesh areas.
For example, the meteorological disaster information acquisition unit 11 determines that the landslide disaster warning determination mesh information and the information on the risk distribution of heavy rain warning (flood damage) announced by the Meteorological Agency are information indicating the risk of each mesh region. The acquired meteorological disaster information is information indicating the degree of danger of each mesh area.
In another example, the alert target 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) acquired by the meteorological disaster information acquisition unit 11 is information indicating the degree of danger of each area.

In the example shown in FIG. 1, the user information storage unit 12 stores the user information including the address information or the position information of the user's house which is the user's residence. The position information is information (coordinate information) such as latitude and longitude. If the point indicating the latitude and longitude is a point on the site of the user's house, for example, a center point of the site, for example, a point on the periphery of the site, a center of gravity of the site area, such as an intersection of diagonal lines of a rectangular site , It can be anywhere on the site.
In the example shown in FIG. 1, the administrator of the disaster response server 1 is a company that undertakes a construction contract for a user's house. The user information storage unit 12 stores user information including address information or position information of a plurality of user houses for which the administrator of the disaster response server 1 has undertaken construction. In another example, the administrator of the disaster response server 1 may not be the company that undertakes the construction contract for the user's house.

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 a survey of the construction site of the user's house before the start of construction work and its surroundings. Be done. The first information includes, for example, the height difference between 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. In addition, the first information includes the state of structures such as earth retaining walls and retaining walls. Further, the first information includes the state and depth of the gutter, the water channel, and the like.
Further, the user information stored in the user information storage unit 12 includes, for example, information (second information) such as a building, a site and an attached structure at the time of completion of the construction work of the user's house. The second information includes, for example, information such as the shape and form of the building (number of floors, presence/absence of rooftop, etc.), layout, basic specifications and the like. In addition, the second information includes height difference between the site and the surroundings. In addition, the second information includes information on newly constructed 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 delivery of the user's house (third information). The third information includes information such as building remodeling, for example. In addition, the third information includes information about the damage situation and restoration in the past disaster.
Further, the user information stored in the user information storage unit 12 includes, for example, information (fourth information) about the resident of the user's house. The fourth information includes, for example, the gender of the user (resident of the user's house), age, work place, school/school attendance destination, health condition (health level), room to sleep, and the like.
The user information stored in the user information storage unit 12 can be utilized for, for example, predicting damage and prioritizing relief when a user's home is damaged.

In the example shown in FIG. 1, the first determination unit 13 alerts the user home 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. It is determined whether it is included in the target area. Specifically, the first determination unit 13 determines whether or not the user's home is included in any of the plurality of regions forming the alert target area indicated by the weather disaster information acquired by the weather disaster information acquisition unit 11. To do.
In another example, based on the weather disaster information acquired by the weather disaster information acquisition unit 11 and the user information directly input to the first determination unit 13, for example, the first determination unit 13 targets the user's home as a warning target. It may be determined whether it is included in the area.

In the example illustrated in FIG. 1, the content generation unit 14 is based on the weather disaster information acquired by the weather disaster information acquisition unit 11 when the first determination unit 13 determines that the user home is included in the warning target area. To generate alert content. Specifically, when the user's home is included in any of the plurality of regions forming the caution target area indicated by the weather disaster information acquired by the weather disaster information acquisition unit 11, the content generation unit 14 sets the user's home as the target. The alert content indicating the degree of danger of the included area is generated.
The content generation unit 14 includes a customization unit 14A. The customization unit 14A executes customization of a map in which a plurality of mesh regions are displayed in, for example, landslide disaster warning determination mesh information announced by the Japan Meteorological Agency, information on a risk distribution of heavy rain warning (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 the alert content to the terminal device used by the user (for example, all the residents of the user's house).

In the example shown in FIG. 1, the disaster response unit 18 determines the disaster severity of the user's house. Specifically, the disaster response unit 18 determines the disaster severity of the user's home when the first determination unit 13 determines that the user's home is included in any of the plurality of regions forming the alert target area. .. The disaster response unit 18 includes a disaster severity calculation unit 18A, a landslide disaster risk information collection unit 18B, a disaster housing extraction unit 18C, a disaster map generation unit 18D, and a response schedule formulation unit 18E.
The disaster severity calculating unit 18A calculates the disaster severity for each user home, which reflects the weight of time in the disaster risk of each user home. The disaster risk level is set based on the weather disaster information indicating the risk level of each area acquired by the weather disaster information acquisition unit 11.
For example, “extremely dangerous” of the five levels such as the sediment disaster warning determination mesh information and the information of the risk distribution of heavy rain warning (flood damage) announced by the Japan Meteorological Agency corresponds to “disaster risk 10”. “Very dangerous” of the five levels such as the sediment disaster warning judgment mesh information and the information of the risk distribution of heavy rain warning (flood damage) corresponds to the “disaster risk 7”. "Validity" out of five levels, such as sediment disaster warning mesh information and heavy rain warning (flood damage) risk distribution information, corresponds to "disaster risk 3.""Caution" of the five levels such as the sediment disaster warning mesh information and the information of the risk distribution of heavy rain warning (flood damage) corresponds to the "disaster risk 1". "Concerning future information, etc." among the five levels such as the sediment disaster warning mesh information and the information on the risk distribution of heavy rain warning (flood damage) corresponds to "disaster risk 0".
In another example, the maximum disaster risk reached by the user's home may be used instead of the disaster risk described above.

In the example shown in FIG. 1, the disaster severity calculating unit 18A calculates the disaster severity based on an arithmetic function including the disaster risk of each user's house and time.
In another example, the disaster severity calculating unit 18A may calculate the disaster severity based on the relationship between the disaster risk of each user's house and time and the disaster severity obtained in, for example, an experiment.

In the first calculation example, the disaster severity calculating unit 18A calculates the disaster severity of each user home and the time as the disaster severity based on one arithmetic function including the disaster risk of each user home and the time. Calculate the product.
In the second calculation example, the disaster severity calculating section 18A uses one calculation function including the disaster risk and time of each user's house, or two or more calculations including the disaster risk and time of each user's house. Calculate the disaster severity based on the combination of functions for each time domain. The disaster severity has a positive correlation with time in at least one arithmetic function including the disaster risk of each user's home and the time.
For example, the disaster severity calculating unit 18A uses a predetermined coefficient K as the disaster severity S and the disaster risk R of each user's house to the nth power (n is a positive number), as shown in the following equation (1). And a product of the time t and the m-th power (m is a positive number) are offset in the time axis direction by a predetermined constant L to calculate. In the following formula (1), n is 1 and m is 1, for example.

S=K×R ⁿ ×(t−L) ^m (1)

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

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

In the example shown in FIG. 1, the sediment-related disaster risk information collecting unit 18B uses the meteorological disaster information acquired by the meteorological disaster information acquiring unit 11 to find the national sediment-related disaster risk information and the heavy rain warning (flood damage) risk distribution. Information and the like are collected as list data at regular intervals.
The affected house extraction unit 18C refers to the user information stored in the user information storage unit 12 and refers to the sediment disaster risk information collection unit 18B to collect the sediment disaster risk information and the heavy rain warning (flood damage) risk. Information about the degree distribution is converted and stored for each user's home.
The damage level map generation unit 18D, based on the information accumulated by the damaged house extraction unit 18C, the user's house in which the damage severity calculated by the damage severity calculation unit 18A exceeds a certain level (that is, the damaged user's house). ), a disaster-affected user home list is generated. The disaster-affected user home list is created by sorting the disaster severity calculated for each user home by the disaster severity calculating unit 18A in descending order of the disaster severity.

FIG. 2 is a diagram showing an example of the disaster-affected user home list generated by the disaster degree map generation unit 18D.
In the example shown in FIG. 2, in the disaster-affected user home list, the order of disaster severity (“No.”), the disaster-affected user home (“house”), the “address” of the disaster-affected user home, and the “disaster severity”. “Degree” is described.
Specifically, it is stated in the disaster-affected user home list that the damage severity of the XX residence having the highest damage severity (“No.”=“1”) is “120”. Next, it is stated that the damage severity of the disaster is the second highest (“No.”=“2”). Next, the damage severity is the third highest (“No.”=“3”).◇◇ It is stated that the damage severity of the residence is “110”.
Further, the disaster-affected user home list describes that the disaster severity is the 70th highest (“No.”=“70”)××the disaster severity of the residence is “80”. Next, it is stated that the disaster severity is 71st highest (“No.”=“71”) and the damage severity of the residence is “79”. Next, it is stated that the disaster severity of the disaster residence of the ΔΔ residence is “77”, which is the 72nd highest disaster severity (“No.”=“72”).

In the example illustrated in FIG. 2, one disaster-affected user home list (that is, the disaster-affected user home list illustrated in FIG. 2) is generated by the disaster degree map generation unit 18D.
On the other hand, for example, in another example in which a plurality of disaster response teams perform disaster response for a plurality of disaster response user homes, a disaster response user home list as shown in FIG. 2 may be generated for each disaster response team. In this example, it is possible to easily grasp a disaster response team or the like in which the disaster response personnel are insufficient. Further, in this example, for the purpose of statistical processing and the like, the disaster-affected user home list for each disaster response team may be collectively sorted and generated by the disaster degree map generation unit 18D.
In still another example, the disaster degree map generation unit 18D generates, for example, a disaster user home list (sorted in descending order of damage severity) as shown in FIG. 2, for example, in units of prefectures or municipalities. May be.

In the example shown in FIG. 1, the damage level map generation unit 18D generates a damage level map based on the information accumulated by the damaged house extraction unit 18C. The damage level map is a map showing the positions and densities of user homes whose damage severity level exceeds a certain level.

FIG. 3 is a diagram showing an example of the damage level map generated by the damage level map generation unit 18D.
In the example shown in FIG. 3, the affected user's home exists in western Japan. In addition, the density of damaged user homes is high near Osaka and Nagoya.

In the example shown in FIG. 1, when a plurality of user homes are affected by a disaster, the response schedule planning unit 18E can generate and output a priority list that determines the priority of the response of the plurality of disaster-affected user homes. For example, when the disaster severity of a plurality of user homes exceeds a certain level, the response schedule planning unit 18E determines that a plurality of user homes whose disaster severity exceeds a certain level constitute a warning target area. If any of the mesh areas is included, the priority list can be generated and output.
The priority list generated by the correspondence schedule planning unit 18E includes, for example, information such as the ID of the user's contract number, the owner's name of the user's house, the address of the user's house, the telephone number of the user, and the mail address of the user. Be done.
The disaster response unit 18 has a function of generating a map associated with the priority list generated by the response schedule planning 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 undertakes the construction of the user's house) or the like sets the response schedule based on the priority list generated by the response schedule planning unit 18E, the map linked to the priority list, and the like. It is possible to create and start correspondence to each user's house.

In another example, when a plurality of user homes are affected by a disaster, the response schedule formulation unit 18E may formulate a response schedule indicating a response order of the plurality of disaster-affected user homes. For example, when the disaster severity of a plurality of user homes exceeds a certain level, the response schedule planning unit 18E determines that a plurality of user homes whose disaster severity exceeds a certain level constitute a warning target area. If it is included in any of the mesh areas of, the correspondence schedule is established.
The response schedule is established based on the disaster severity of each of a plurality of user homes whose disaster severity exceeds a certain level. In detail, the response schedule is formulated in the descending order of the disaster severity of the user's home, based on the disaster-affected user home list generated by the disaster degree map generation unit 18D.
For example, the response schedule formulation unit 18E, based on the disaster-affected user home list shown in FIG. 2, has the first response order for the XX residence with a disaster severity of "120", and ▽ with a disaster severity of "118". ▽ Houses are in the second order, disaster severity is "110" ◇◇ Houses are in the third order, disaster severity is "80" XX Houses are in the 70th order The correspondence schedule for the □□ residence with the disaster severity of “79” is the 71st, and the correspondence schedule for the ΔΔ residence with the disaster severity of “77” is the 72nd.
In the example shown in FIG. 1, the administrator of the disaster response server 1 (the company that undertakes the construction contract of the user's house) supports the disaster-affected user's house based on the response schedule established by the response schedule development unit 18E. ..

Specifically, the administrator of the disaster response server 1 (the company that undertakes the construction of the user's house), for example, interviews the user's house in the area damaged by a typhoon, flood damage, etc., about the damage caused by a call. To do. Moreover, the administrator of the disaster response server 1 confirms the presence or absence of a service call from the user's house and the contents. In addition, the administrator of the disaster response server 1 considers public disaster level information (issue of warnings/warnings, evacuation instructions, information on infrastructure outages, etc.), field surveys, identification/estimation of necessary repair points. , Determine whether insurance is applied, repair work, etc.
In the example shown in FIG. 1, as criteria for judging whether or not to perform these things, "how much earth and sand disaster risk has the user's house reached", "how much flood disaster risk has the user's house taken?" Has it been reached?" is used.
On a website or the like operated by the administrator of the disaster response server 1, information is distributed separately based on the disaster severity described in the disaster user home list described above, and power is received (inquiry) from the user home having a high disaster severity. Has priority. For users' homes with low severity of disaster, introduction of FAQs (Frequently Asked Questions) is given priority.
For example, the disaster-affected user home list generated by the disaster level map generation unit 18D, the response schedule created by the response schedule creation unit 18E, and the like are effectively used on and after the day after the disaster. Human resources are efficiently utilized by providing support according to the severity of the disaster. For example, based on the damage level map generated by the damage level map generation unit 18D, the corresponding areas are shared, and in each area, the correspondence is performed in order from the house with the higher damage severity.

FIG. 4 is a flowchart for explaining an example of processing executed by the disaster response server 1 according to the first embodiment.
In the example illustrated 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 related to weather or a disaster.
Further, in step S2, the user information storage unit 12 stores the user information including the address information or the position information of the user's house which is the user's house.
Next, in step S3, the first determination unit 13 determines whether or not the user's home is included in the warning target 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 or not the user's house is included in any of the plurality of mesh regions forming the alert target area.
When it is determined in step S3 that the user's home is included in the warning target area, and when the user's home is actually affected by the disaster, in step S4, the disaster response unit 18 determines the disaster severity of the affected user's home. To do.
In detail, when a plurality of user homes are included in any of a plurality of mesh areas that constitute the alert target area, and when a plurality of user homes are affected by a disaster, the disaster response unit 18 causes a plurality of users who are affected by the disaster. Develop a response schedule that indicates the response order of homes.

Specifically, in the example shown in FIG. 4, in step S41, the disaster severity calculating unit 18A calculates the disaster severity, which is the product of the disaster risk and the time of each of the plurality of user homes affected by the disaster.
In step S42, the sediment-related disaster risk information collection unit 18B collects the sediment-related disaster risk information nationwide as list data at regular intervals from the weather disaster information acquired in step S1.
Next, in step S43, the damaged house extraction unit 18C converts and accumulates the earth and sand disaster risk information collected in step S42 for each user's home while referring to the user information stored in step S2.
Next, in step S44, the disaster level map generation unit 18D generates a disaster user home list and a disaster level map based on the information accumulated in step S43.
Next, in step S45, the response schedule formulation unit 18E formulates response schedules in the descending order of disaster severity of the disaster-affected user homes based on the disaster-affected user homes 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 announcement unit A1, and a weather disaster information data distribution unit A2.
For example, the meteorological disaster information announcement unit A1 such as the Japan Meteorological Agency, for example, provides information on risk distribution of sediment disaster warning information, sediment disaster warning judgment mesh information, meteorological warning, typhoon information, earthquake information, heavy rain warning (flood damage), etc. We announce such weather disaster information.
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 announcement unit A1 in a usable (processable) format.
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 uses the data of the meteorological disaster information distributed by the meteorological disaster information data distribution unit A2 (for example, landslide disaster warning judgment mesh information, heavy rain warning (flood damage)). Data such as information on risk distribution) is acquired. For example, in the earth and sand disaster warning determination mesh information and the information on the risk distribution of heavy rain warning (flood damage), a warning target area (area with an increased risk) is displayed on a map by a plurality of mesh areas.

FIG. 6 is a diagram showing an example of a plurality of mesh areas displayed on the map as a warning target area in the sediment disaster warning determination mesh information.
In the example shown in FIG. 6(A), six mesh areas corresponding to “extremely dangerous” due to the increase in the risk of sediment disaster due to heavy rain are on the map of the sediment disaster warning determination mesh information as the warning target area. Is displayed. The user's house of the disaster response server 1 is included in the mesh area corresponding to “very dangerous” on the rightmost and lower side in FIG. 6A.

In the example illustrated in FIG. 5 and FIG. 6A, the first determination unit 13 (see FIG. 1) of the disaster response server 1 indicates that the user's home is in the target area of the earth and sand disaster warning determination mesh information (see FIG. 6A). (Any one of the 6 mesh areas shown in 1). Specifically, the first determination unit 13 determines that the user's house is included in the mesh area corresponding to “very dangerous”.
Therefore, the content generation unit 14 (see FIG. 1) of the disaster response server 1 is based on the weather disaster information acquired by the weather disaster information acquisition unit 11 (specifically, the mesh area including the user's house is “very The alert content is generated (based on the information indicating that the mesh area corresponds to “danger”).

FIG. 7 is a diagram for explaining an example in which the content generation unit 14 of the disaster response server 1 according to the first embodiment generates alert content.
In the example shown in FIG. 7A, the content generation unit 14 of the disaster response server 1 corresponds to “very dangerous” in the mesh area (FIG. 6A) including the user's house (see FIG. 6A). An email indicating the risk level (“very dangerous”) of the rightmost and lowermost mesh area of the six mesh areas to be generated is generated as the alert content.
The content delivery unit 15 (see FIG. 1) of the disaster response server 1 sends the electronic mail generated by the content generation unit 14 to the terminal device B1 used by the user.
In the example illustrated in FIG. 7, the terminal device B1 used by the user is a terminal device carried by the user, such as a smartphone. In another example, the terminal device B1 may be a mobile terminal device other than a smartphone.

In the example shown in FIG. 7(A), the e-mail generated by the content generation unit 14 and transmitted to the user's terminal device B1 by the content distribution unit 15 indicates that the degree of danger in the earth and sand disaster warning determination mesh information is "extreme". It is described that the user's house is included in the mesh area corresponding to “dangerous to”. Further, in the e-mail, a URL (Uniform Resource Locator) for the user to browse a custom map described later is described. The user can grasp the delivery of the custom map by looking at the URL for browsing the custom map described in the email.
As described above, the customization unit 14A of the content generation unit 14 of the disaster response server 1 uses, for example, a plurality of meshes in the sediment disaster warning determination mesh information, the heavy rain warning (flood damage) risk distribution information, etc. announced by the Meteorological Agency. Perform customization of the map in which the area 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 executing the customization of 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 house in the map shown in FIG. 6(A) is the custom map shown in FIG. 6(B). Has been moved to a position other than the peripheral portion (specifically, 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. Also in this example, the user's house is moved to a position other than the peripheral portion of the custom map, and the eight mesh regions (surrounding mesh regions) located around the mesh region including the user's house are also included in the custom map. .. That is, the map shown in FIG. 6A may be used as it is as the custom map.
In the example shown in FIG. 7B, the content distribution unit 15 distributes the custom map (see FIG. 6B) generated by the customization unit 14A and displayable by the terminal device B1.
In the example shown in FIG. 7, the disaster response server 1 and the terminal device B1 are included in the disaster response system X.

As described above, in the example shown in FIGS. 1 to 7, as shown in FIG. 7A, the user understands that the risk level of the mesh area including the user's house corresponds to “very dangerous”. be able to. As a result, the user can accurately determine the situation such as whether or not she really needs to evacuate. Specifically, the user can make a situation determination in real time, for example, without delaying the announcement by the Meteorological Agency.
In addition, in the examples illustrated in FIGS. 1 to 7, as illustrated in FIGS. 6B and 7B, the user is not the risk level of the municipality including the user's home, but the mesh area including the user's home. It is possible to understand that the degree of danger (area smaller than the municipality) corresponds to "very dangerous".
Further, in the examples shown in FIGS. 1 to 7, as shown in FIGS. 7(A) and 7(B), the user indicates weather disaster information such as sediment disaster warning determination mesh information announced by the Meteorological Agency. It is possible to understand that the degree of danger of the mesh area including the user's home corresponds to “very dangerous” by email without browsing the home page.
In addition, in the examples shown in FIGS. 1 to 7, as shown in FIGS. 6B and 7B, the user sets the risk level of the mesh area including the user's house to “very dangerous” by the custom map. It is possible to visually grasp the fact.
Further, in the examples shown in FIGS. 1 to 7, as shown in FIGS. 7A and 7B, an alert indicating that the risk level of the mesh area including the user's house corresponds to “very dangerous” The 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 degree of danger of the mesh area including the user's home corresponds to “very dangerous”. As a result, the user outside the user's house can notify the user inside the user's house of the danger of the user's house and can prompt the user to take measures such as evacuation. Further, the user outside the user's house can determine whether or not to avoid returning to the user's house outside the user's house.
Further, in the example shown in FIGS. 1 to 7, as described above, the administrator of the disaster response server 1 is a company that undertakes the construction contract of the user's house. Therefore, the disaster response server 1 can appropriately provide the user with information such as the degree of danger of the mesh area including the user's house by utilizing the user information obtained at the time of building the user's house.

In the example shown in FIGS. 1 to 7, as described above, the address information or the position information of the user's house is provided by the administrator of the disaster response server 1 (the company that undertakes the construction contract of the user's house), and the user information is stored. Although stored in the unit 12, in another example, the address information or the position information of the user's house may be acquired by the device installed in the user's house and stored in the user information storage unit 12. In this example, the address information or the position information of the user's house is acquired by using, for example, GPS (Global Positioning System), Internet position information, LTE (Long Term Evolution) connection base station information, and the like.
Moreover, in the example shown in FIGS. 1-7, the disaster response server 1 is arrange|positioned outside a user's house. Specifically, the disaster response server 1 is arranged in an area other than the Kanto region. In another example, part or all of the disaster response server 1 may be placed on the cloud.
Further, in the example 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 arranged in the same data center and the same firewall. Therefore, the crisis management and backup system of the disaster response server 1 can be improved.

In the example shown in FIGS. 1 to 7, as described above, the weather disaster, which is the information indicating the warning target area related to the weather or the disaster, is the information indicating the degree of danger of each of the plurality of regions forming the warning target area. Information is acquired by the meteorological disaster information acquisition unit 11. Further, when the first determination unit 13 determines that a plurality of user homes are included in the warning target area and when the plurality of user homes are damaged, the disaster response unit 18 causes the disaster seriousness of the plurality of user homes. Degree is determined, and a correspondence schedule indicating the correspondence order of the plurality of user homes is formulated based on the disaster severity of each of the plurality of user homes.
Therefore, in the example illustrated in FIGS. 1 to 7, the disaster response unit 18 appropriately determines the response order of a plurality of damaged user homes based on the meteorological disaster information indicating the degree of risk of each of the plurality of areas. You can
That is, in the examples shown in FIGS. 1 to 7, the disaster response unit 18 can determine the response order of the plurality of disaster-affected user homes more appropriately than in the case where the respective degrees of risk of the plurality of areas are not considered. ..

Further, for example, in the above-described first calculation example, the disaster severity calculating unit 18A calculates the disaster severity that is the product of the disaster risk and the time of each of the plurality of user homes. Therefore, it is possible to perform an appropriate disaster response in consideration of the elapsed time from the occurrence of the disaster.
In the examples shown in FIGS. 6 and 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 11. Therefore, for example, mesh information (detailed information) such as sediment disaster warning determination mesh information can be effectively used 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, a disaster response system X includes a disaster response server 1, a weather disaster information announcement unit A1, a weather disaster information data distribution unit A2, and a terminal device B2.
In the example shown in FIG. 8(A), as in the example shown in FIG. 5, the meteorological disaster information announcement unit A1 uses, for example, sediment disaster warning information, sediment disaster warning judgment mesh information, weather warning, typhoon information, earthquake information, heavy rain. Announce weather disaster information such as information on risk distribution of warnings (flood damage). The meteorological disaster information data distribution unit A2 distributes the meteorological disaster information data announced by the meteorological disaster information announcement unit A1 in a usable (processable) format.
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 uses the data of the meteorological disaster information distributed by the meteorological disaster information data distribution unit A2 (for example, landslide disaster warning judgment mesh information, heavy rain warning (flood damage)). Data such as information on risk distribution) is acquired.
The first determination unit 13 (see FIG. 1) of the disaster response server 1 indicates that the user's home has a warning target area (eg, FIG. It is determined whether or not it is included in any one of the six mesh regions corresponding to “very dangerous” shown in A).
When the user's house is included in the warning target 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. To do.

In the example shown in FIG. 8B, the content generation unit 14 of the disaster response server 1 uses, as the alert content, an e-mail in which the degree of danger of the mesh area including the user's home is “very dangerous”, for example. To generate.
The content delivery unit 15 (see FIG. 1) of the disaster response server 1 sends the electronic 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, installed in the user's house. 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 URL for the user to browse the custom map is described in the electronic mail transmitted by the content distribution unit 15 to the user's terminal device B2.
In the example illustrated in FIG. 8C, the content distribution unit 15 distributes the custom map (for example, see FIG. 6B) generated by the customization unit 14A and displayable by the terminal device B2.

In the example shown in FIGS. 8B and 8C, unlike the example shown in FIGS. 7A and 7B, the alert content is distributed to the terminal device B2 arranged in the user's house. It Therefore, in the example shown in FIG. 8, the user in the user's house can understand that the risk level of the mesh area including the user's house is “very dangerous”.

FIG. 9 is a diagram showing another example of the disaster response server 1 according to the first embodiment.
In the example illustrated in FIG. 9, the disaster response server 1 includes, for example, a weather 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 second. The determination unit 16, the determination result transmission unit 17, and the disaster response unit 18 are provided.
In the example shown in FIG. 9, the disaster response server 1 includes the content generation unit 14 and the content delivery unit 15, but in another example, the disaster response server 1 does not include the content generation unit 14 and the content delivery unit 15. May be.

In the example illustrated in FIG. 9, the second determination unit 16 is located around 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 including the user's home. It is determined whether the user in the user's home should evacuate outside the user's home or the user in the user's home should stay in the user's home based on the risk level of the surrounding mesh region, which is the mesh region.
The determination result transmission unit 17 uses the determination result by the second determination unit 16 whether the user inside the user home should evacuate outside the user home or whether the user inside the user home should stay inside the user home. It is transmitted to the 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 regions M1, M2, MS1, MS2, MS4, and MU corresponding to “extremely dangerous” when the increased risk of sediment disaster due to heavy rain corresponds to the caution target region. Is displayed on the map of the sediment disaster warning judgment mesh information. The mesh area MU includes the user home of the disaster response server 1.
Of the surrounding mesh areas MS1 to MS8 located around the mesh area MU including the user's house, the surrounding mesh area MS1 located on the northwest side of the mesh area MU and the surrounding mesh area MS2 located on the north side of the mesh area MU. The surrounding mesh area MS4 located on the west side of the mesh area MU corresponds to the risk level of “very dangerous”.
Of the surrounding mesh areas MS1 to MS8, a surrounding mesh area MS3 located on the northeast side of the mesh area MU, a surrounding mesh area MS5 located on the east side of the mesh area MU, and a surrounding mesh located on the southwest side of the mesh area 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 degree of risk of "take note of future information". ..
In the example shown in FIG. 9 and FIG. 10A, the second determination unit 16 determines that the user in the user's house is a surrounding mesh area whose risk level is “Keep attention to future information, etc.” It is determined that the user in the user's house should evacuate to the surrounding mesh area MS8, which is the surrounding mesh area away from the mesh areas M1, M2, MS1, MS2, 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 illustrated in FIG. 11, the disaster response server 1, the weather disaster information announcement unit A1, the weather disaster information data distribution unit A2, and the terminal device B1 are included in the disaster response system X.
In the example shown in FIG. 11, as in the example shown in FIG. 5, the meteorological disaster information announcement unit A1 is, for example, the sediment disaster warning information, the sediment disaster warning judgment mesh information, the weather warning, the typhoon information, the earthquake information, the heavy rain warning (inundation). We announce weather disaster information such as information on the risk distribution of (harm). The meteorological disaster information data distribution unit A2 distributes the meteorological disaster information data announced by the meteorological disaster information announcement unit A1 in a usable (processable) format.
The meteorological disaster information acquisition unit 11 (see FIG. 9) of the disaster response server 1 uses the data of the meteorological disaster information distributed by the weather disaster information data distribution unit A2 (for example, landslide disaster warning judgment mesh information, heavy rain warning (flood damage)). Data such as information on risk distribution) is acquired.
The first determination unit 13 (see FIG. 9) of the disaster response server 1 indicates that the user's home is in a warning target area (for example, in FIG. 10 (see FIG. 10 (e.g., FIG. 10 ( It is determined whether or not the mesh area is included in any of the six mesh areas M1, M2, MS1, MS2, MS4, and MU shown in A).
When the user's house is included in the warning target 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. To do.

In the example illustrated in FIG. 11A, the content generation unit 14 of the disaster response server 1 determines that the risk level of the mesh area MU including the user's home is “very dangerous” and the surrounding mesh located on the northwest side of the mesh area MU. The degree of danger of the area MS1 is “very dangerous”, the degree of danger of the surrounding mesh area MS2 that is located on the north side of the mesh area MU is “very dangerous”, and the degree of risk of the surrounding mesh area MS3 that is located on the northeast side of the mesh area MU. “Considering future information”, the risk level “very dangerous” of the surrounding mesh region MS4 located on the west side of the mesh region MU, and the risk level “future” of the surrounding mesh region MS5 located on the east side of the mesh region MU. "Attention to information etc.", "Risk of surrounding mesh area MS6 located on the southwest side of the mesh area MU "Attention to future information", and "Danger degree of surrounding mesh area MS7 located on the south side of the mesh area MU" , Etc.” and “the degree of risk of the surrounding mesh area MS8 located on the southeast side of the mesh area MU “Attention to future information etc.” is generated as the alert content.
The content distribution unit 15 (see FIG. 9) of the disaster response server 1 transmits the electronic mail generated by the content generation unit 14 to the terminal device B1 used by the user.
In the example illustrated in FIG. 11, the terminal device B1 used by the user is a terminal device carried by the user, such as a smartphone. In another example, the terminal device B1 may be a mobile terminal device other than a smartphone.

In the example shown in FIG. 11A, the user browses the custom map shown in FIG. 10B in the email generated by the content generation unit 14 and transmitted by the content distribution unit 15 to the user's terminal device B1. URL for this is described. The user can grasp the delivery of the custom map by looking at the URL for browsing the custom map described in the email.
In the example shown in FIGS. 10A and 10B, the customization unit 14A (see FIG. 9) executes the map customization shown in FIG. 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 the custom map shown in FIG. 10(B). Has been moved to a position other than the peripheral portion (specifically, 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. Also in this example, the user's house is moved to a position other than the peripheral portion of the custom map, and the eight mesh regions (surrounding mesh regions) located around the mesh region including the user's house are also included in the custom map. .. That is, the map shown in FIG. 10A may be used as it is as the custom map.
In the example illustrated in FIG. 11B, the content distribution unit 15 distributes the custom map (see FIG. 10B) generated by the customization unit 14A and displayable by the terminal device B1.

As described above, in the examples shown in FIGS. 9 to 11, the content generation unit 14 is located around the mesh area MU including the user's home and the risk level “very dangerous” of the mesh area MU including the user's home. An e-mail is generated that indicates the risk level "very dangerous" of the surrounding mesh regions MS1, MS2, MS4 and the risk level "Attention to future information" of the surrounding mesh regions MS3, MS5, MS6, MS7, MS8.
Therefore, in the examples illustrated in FIGS. 9 to 11, the user not only has the risk level “very dangerous” of the mesh region MU including the user's house, but also has the risk level “very dangerous” of the surrounding mesh regions MS1, MS2, MS4. By grasping the risk level "attention to future information" of the surrounding mesh regions MS3, MS5, MS6, MS7, MS8, the risk level of the surrounding mesh regions MS1, MS2, MS4 is "very dangerous" and the surrounding mesh region. It is possible to consider an appropriate evacuation route from the user's house, as compared with the case where the degree of risk “Attention to future information etc.” of the MS 3, MS 5, MS 6, MS 7, MS 8 is not grasped.

In the examples shown in FIGS. 9 to 11, the risk level “very dangerous” of the mesh area MU including the user's home and the risk degrees of the surrounding mesh areas MS1, MS2, MS4 are displayed on the custom map shown in FIG. 10B. “Very dangerous” and “risk level of future information etc.” of the surrounding mesh areas MS3, MS5, MS6, MS7, MS8 are included. Further, the custom map shown in FIG. 10B is distributed by the content distribution unit 15 and displayed by 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. 10B to indicate the risk level “very dangerous” of the mesh area MU including the user's house and the surrounding mesh areas MS1, MS2, MS4. It is possible to visually comprehend the risk level of “very dangerous” and the risk level of the surrounding mesh regions MS3, MS5, MS6, MS7, MS8 “Attention to future information and the like”.

In the examples shown in FIGS. 9 to 11, as described above, the determination by the second determination unit 16 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 to the user's terminal device B1 by the determination result transmitting unit 17.
Therefore, in the examples shown in FIGS. 9 to 11, the user can use the determination result transmitted by the determination result transmission unit 17 as a determination material for evacuating outside the user's house or staying within the user's house. it 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 announcement 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 uses, for example, sediment disaster warning information, sediment disaster warning judgment mesh information, weather warning, typhoon information, earthquake information, heavy rain warning (flood damage) risk distribution. We announce weather disaster information such as information of. The meteorological disaster information data distribution unit A2 distributes the meteorological disaster information data announced by the meteorological disaster information announcement unit A1 in a usable (processable) format.
The meteorological disaster information acquisition unit 11 (see FIG. 9) of the disaster response server 1 uses the data of the meteorological disaster information distributed by the weather disaster information data distribution unit A2 (for example, landslide disaster warning judgment mesh information, heavy rain warning (flood damage)). Data such as information on risk distribution) is acquired.
The first determination unit 13 (see FIG. 9) of the disaster response server 1 indicates that the user's home is in a warning target area (for example, in FIG. 10 (see FIG. 10 (e.g., FIG. 10 ( It is determined whether or not the mesh area is included in any of the six mesh areas M1, M2, MS1, MS2, MS4, and MU shown in A).
When the user's house is included in the warning target 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. To do.

In the example illustrated in FIG. 12B, the content generation unit 14 of the disaster response server 1 determines, for example, that the mesh area MU including the user's home has a risk level “very dangerous” and the surrounding mesh areas MS1, MS2, and MS4 have a risk level. An e-mail describing "Very dangerous" and the degree of danger "Attention to future information" of the surrounding mesh areas MS3, MS5, MS6, MS7, MS8 is generated as the alert content.
The content delivery unit 15 (see FIG. 9) of the disaster response server 1 sends the electronic 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, such as a personal computer, installed in the user's house. 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. 12B, the URL for the user to browse the custom map is described in the electronic mail transmitted to the terminal device B2 of the user by the content distribution unit 15.
In the example illustrated in FIG. 12C, the content distribution unit 15 distributes the custom map (for example, see FIG. 10B) generated by the customization unit 14A and displayable by the terminal device B2.

In addition, in the example illustrated in FIG. 12, the determination result transmission unit 17 (see FIG. 9) of the disaster response server 1 determines whether the user in the user's house should evacuate outside the user's house or the user in the user's house inside the user's house. The result of determination by the second determination unit 16 (see FIG. 9) on whether to stay is transmitted to the terminal device B2 of the user.

In the above-described example, the customization unit 14A executes customization of a map in which a plurality of mesh areas are displayed in the sediment disaster warning determination mesh information, the heavy rain warning (flood damage) risk distribution information, etc. announced by the Meteorological Agency. ..
In another example, the customizing unit 14A uses information other than the information on the risk distribution of sediment disaster warning determination mesh and heavy rain warning (flood damage), such as the risk distribution of flood warnings announced by the Japan Meteorological Agency. For example, the customization of a map in which a plurality of areas in the area of caution regarding an earthquake is displayed may be executed.

<Second Embodiment>
Hereinafter, a second embodiment of the disaster response server, the disaster response method, and the program of the present invention will be described.
The disaster response server 1 of the second embodiment is configured similarly to the disaster response server 1 of the first embodiment described above, except for the points described below. Therefore, according to the disaster response server 1 of the second embodiment, the same effects as those of the disaster response server 1 of the first embodiment described above can be obtained, 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), for example, sediment disaster warning information, sediment disaster warning judgment mesh information, weather warning, typhoon information, earthquake information. , Announce weather disaster information such as information on risk distribution of heavy rain warning (flood 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 usable (processable) format.
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 uses the data of the meteorological disaster information distributed by the meteorological disaster information data distribution unit A2 (for example, landslide disaster warning judgment mesh information, heavy rain warning (flood damage)). Data such as information on risk distribution) is acquired.

In the first application example of the disaster response server 1 according to the second embodiment, the first determination unit 13 (see FIG. 1) of the disaster response server 1 indicates that the user's home is sediment disaster warning determination mesh information, heavy rain warning (flood damage). It is determined whether or not the information is included in the caution target area (for example, any of the six mesh areas shown in FIG. 6A) in the information of the risk distribution of the above.
The content generation unit 14 (see FIG. 1) of the disaster response server 1 acquires the meteorological disaster information acquired by the meteorological disaster information acquisition unit 11 when the first judgment unit 13 judges that the user's home is included in the warning target area. Generate alert content based on information. The content generation unit 14 includes a customization unit 14A (see FIG. 1). The customizing unit 14A executes, for example, customization of a map in which a plurality of mesh regions are displayed in the landslide disaster warning determination mesh information and the heavy rain warning (flood damage) risk distribution information announced by the Meteorological Agency, and a custom map (Fig. 6(B)) is generated.
The content delivery unit 15 (see FIG. 1) of the disaster response server 1 delivers the custom map or the like as the 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 according to the second embodiment generates alert content and the like.
In the example illustrated in FIG. 13, the disaster response system X includes a disaster response server 1, a weather disaster information announcement unit A1, a weather disaster information data distribution unit A2, and a terminal device B1.
In the example shown in FIG. 13A, the first determination unit determines that the user's house is included in the caution target area in the landslide disaster caution determination mesh information, heavy rain warning (flood damage) risk distribution information, earthquake information, and the like. When it is determined by 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 transmitted by the content distribution unit 15 is a notification that prompts the user to display a custom map (see FIG. 6B) in the dedicated application of the terminal device (smartphone) B1.
In the example illustrated in FIG. 13B, the content distribution unit 15 distributes the custom map generated by the customization unit 14A and displayed by the terminal device (smartphone) B1.

As described above, in the first application example of the disaster response server 1 of the second embodiment, the push notification prompting the display of the custom map is transmitted from the disaster response server 1 to the terminal device (smartphone) B1 carried by the user. It Therefore, it is possible to prevent the user from performing the display operation of the custom map more than when the push notification is not transmitted.

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. In this example, the second determination unit 16 uses the user information stored in the user information storage unit 12, the degree of risk of the mesh area including the user's home, and the mesh areas located around the mesh area including the user's home. Based on the risk degree of a certain surrounding mesh area, it is determined whether the user in the user's home should evacuate outside the user's home or the user in the user's home should stay in the user's home.
Further, in this example, the determination result transmission unit 17 displays the determination result by the second determination unit 16 whether the user in the user's house should evacuate outside the user's house or the user in the user's house should stay in the user's house. , 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 indicates that the user's house is sediment disaster warning determination mesh information, heavy rain warning (flood damage). It is determined whether or not the information is included in the caution target area (for example, any of the six mesh areas M1, M2, MS1, MS2, MS4, and MU shown in FIG. 10A) in the information of the risk distribution of ..
The content generation unit 14 (see FIG. 9) of the disaster response server 1 acquires the meteorological disaster information acquired by the meteorological disaster information acquisition unit 11 when the first judgment unit 13 judges that the user's home is included in the warning target area. Generate alert content based on information. The content generation unit 14 includes a customization unit 14A (see FIG. 9). The customization unit 14A displays, for example, a map (see FIG. 10(A)) in which a plurality of mesh regions are displayed in the landslide disaster warning determination mesh information, the heavy rain warning (flood damage) risk distribution information, etc. announced by the Meteorological Agency. Customization is executed to generate a custom map (see FIG. 10B).
The content delivery unit 15 (see FIG. 9) of the disaster response server 1 delivers the custom map or the like as the 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 according to the second embodiment, the customization unit 14A notifies the sediment disaster warning determination mesh information and heavy rain warning (flood damage) announced by the Meteorological Agency. Customize the map that displays multiple mesh areas such as information on risk distribution.
In the third application example of the disaster response server 1 according to the second embodiment, the customizing unit 14A uses the earth and sand disaster warning determination mesh information and the heavy rain alarm (flood damage) such as the risk distribution of flood warnings announced by the Meteorological Agency. It is also possible to customize the map in which a plurality of areas are displayed in information other than the information on the risk distribution of () (for example, information indicating a warning target area regarding an earthquake).

<Third Embodiment>
Hereinafter, a third embodiment of a disaster response server, a disaster response method, and a program according to the present invention will be described.
The disaster response server 1 of the third embodiment is configured similarly to the disaster response server 1 of the first embodiment described above, except for the points described below. Therefore, according to the disaster response server 1 of the third embodiment, it is possible to achieve the same effects as those of 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 according to 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 announcement 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 uses, for example, sediment disaster warning information, sediment disaster warning judgment mesh information, weather warning, typhoon information, earthquake information, and heavy rain warning (flood damage) risk distribution information. We announce weather disaster information such as. The meteorological disaster information data distribution unit A2 distributes the meteorological disaster information data announced by the meteorological disaster information announcement unit A1 in a usable (processable) format.
The meteorological disaster information acquisition unit 11 (see FIG. 1) of the disaster response server 1 uses the data of the meteorological disaster information distributed by the meteorological disaster information data distribution unit A2 (for example, landslide disaster warning judgment mesh information, heavy rain warning (flood damage)). Data such as information on risk distribution) is acquired.

In the example illustrated in FIG. 14, the first determination unit 13 (see FIG. 1) of the disaster response server 1 warns the user's house in the sediment disaster warning determination mesh information, the heavy rain warning (flood damage) risk distribution information, and the like. It is determined whether or not it is included in the target area (for example, any of the six mesh areas shown in FIG. 6A).
The content generation unit 14 (see FIG. 1) of the disaster response server 1 acquires the meteorological disaster information acquired by the meteorological disaster information acquisition unit 11 when the first judgment unit 13 judges that the user's home is included in the warning target area. Generate alert content based on information. Specifically, the content generation unit 14 generates, as the alert content, an automatic voice message indicating the risk level “very dangerous” in the mesh area including the user's house (see FIG. 6A).
The content distribution unit 15 (see FIG. 1) of the disaster response server 1 transmits the automatic voice message as the alert content generated by the content generation unit 14 to the terminal device (phone) 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 house is included in the warning target area, an automatic voice message indicating the degree of danger of the mesh area including the user's house is displayed by the user. Is transmitted to the terminal device (telephone) B3 used by. Therefore, in the first application example of the disaster response server 1 of the third embodiment, the user can grasp the degree of risk of the mesh area including the user's house even when the user cannot operate the smartphone, the personal computer, or the like. ..

As described above, in the first application example of the disaster response server 1 according to the third embodiment, the first determination unit 13 determines that the user's house is the sediment disaster warning determination mesh information and the heavy rain warning (flood damage) risk distribution. It is determined whether or not the information is included in the caution area.
In the second application example of the disaster response server 1 according to the third embodiment, the first determination unit 13 causes the sediment disaster warning determination mesh information and the heavy rain warning (such as the distribution of the risk level of the flood warning announced by the Meteorological Agency). It may be determined whether or not the user's house is included in the warning target area in information other than the information on the risk distribution of flood damage (for example, information indicating the warning target area regarding an earthquake).

As described above, the embodiments for carrying out the present invention have been described using the embodiments, but the present invention is not limited to these embodiments, and various modifications and substitutions are made within the scope not departing from the gist of the present invention. Can be added. The configurations described in the above embodiments and examples may be combined as appropriate.

In addition, all or a part of the functions of each unit included in the disaster response system X in the above-described embodiment is recorded in a computer-readable recording medium by recording a program for realizing these functions. Alternatively, the program may be read by a computer system and executed. It should be noted that the “computer system” mentioned here includes an OS and hardware such as peripheral devices.
Further, the "computer-readable recording medium" means a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, and a storage unit such as a hard disk built in a computer system. Further, the "computer-readable recording medium" means to hold a program dynamically for a short time like a communication line when transmitting the program through a network such as the Internet or a communication line such as a telephone line. In this case, a volatile memory inside a computer system that serves as a server or a client in that case may hold a program for a certain period of time. Further, the above-mentioned program may be one for realizing a part of the above-mentioned functions, and may be one for realizing 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... 1st determination part, 14... Content generation part, 14A... Customization part, 15... Content distribution part, 16... 2nd determination Part, 17... Judgment result sending part, 18... Disaster response part, 18A... Disaster severity calculation part, 18B... Sediment disaster risk information collection part, 18C... Damaged house extraction part, 18D... Damage level map generation part, 18E... Correspondence schedule formulation unit, X... Disaster response system, A1... Meteorological disaster information announcement unit, A2... Meteorological disaster information data distribution unit, B1... Terminal device, B2... Terminal device, B3... Terminal device

Claims (18)

A meteorological disaster information acquisition unit that acquires meteorological disaster information, which is information indicating an area subject to warning regarding weather or disaster,
Whether the user's house is included in the warning target area based on the user information including the address information or the position information of the user's house which is the user's house and the weather disaster information acquired by the weather disaster information acquisition unit A determination unit for determining whether or not
A disaster response unit that determines a disaster severity of the user home when the determination unit determines that the user home is included in the warning target area,
The caution area is composed of a plurality of areas,
The weather disaster information is information indicating the degree of danger of each area,
The determination unit determines whether the user home is included in any of the plurality of areas,
The disaster response unit includes a disaster severity calculation unit,
The disaster severity calculating unit calculates the disaster severity, which is the disaster risk of each user's house, with the weight according to time being reflected.
Disaster response server. The caution area is composed of a plurality of mesh areas,
The meteorological disaster information is information indicating the degree of danger of each mesh area,
The determination unit determines whether the user home is included in any of the plurality of mesh regions,
When the plurality of user homes are included in any of the plurality of mesh regions, and when the disaster severity of the plurality of user homes exceeds a certain level, the disaster response unit It is possible to generate and output a priority list that defines the priority of correspondence.
The disaster response server according to claim 1. If the plurality of user homes are included in any of the plurality of mesh regions, and if the disaster severity of the plurality of user homes exceeds the certain level, the disaster response unit is configured to handle the plurality of user homes. Develop a response schedule that shows the response sequence of homes,
The response schedule is created based on the disaster severity of each of the plurality of user homes.
The disaster response server according to claim 2. The disaster severity calculating unit calculates the disaster severity based on an arithmetic function including disaster risk and time of each user's house,
The disaster response server according to claim 1. The disaster severity calculation unit,
A product of the disaster risk of each user's house and time is calculated as the disaster severity, based on one calculation function including the disaster risk of each user's house and time.
The disaster response server according to claim 4. The disaster severity calculating unit includes, for each time domain, one arithmetic function including the disaster risk and time of each user's home, or two or more arithmetic functions including the disaster risk and time of each user's home. Based on the combination, calculate the disaster severity,
In at least one arithmetic function including disaster risk and time of each user's house, the disaster severity has a positive correlation with time.
The disaster response server according to claim 4. The damage severity calculation unit, as the damage severity,
A predetermined coefficient K,
The n-th power (n is a positive number) of the disaster risk of each user's house,
The product of time and the m-th power (m is a positive number) is calculated by offsetting in the time axis direction by a predetermined constant L,
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 severity calculation unit,
Based on the time change of the disaster severity before the current time, further has a function of estimating the disaster severity after the current time,
The disaster response server according to any one of claims 1 to 8. The disaster risk is set based on the weather disaster information indicating the risk 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 damage level map generation unit,
The damage level map generation unit generates a disaster user home list that is a list of the plurality of user homes with the disaster severity exceeding a certain level,
The disaster-affected user home list is generated by sorting the disaster severity calculated for each user home by the disaster severity calculating unit in descending order of the disaster severity.
The disaster response server according to claim 1. The damage level map generation unit generates a damage level map indicating at least positions and densities of the plurality of user homes in which the damage severity level exceeds the certain level.
The disaster response server according to claim 11. The disaster response section includes a response schedule formulation section,
The response schedule formulation unit formulates response schedules in descending order of the severity of disaster, based on the disaster-affected user home list generated by the disaster-affected degree map generator.
The disaster response server according to claim 11 or 12. The meteorological disaster information includes landslide disaster warning determination mesh information,
The determination unit determines whether or not the user home is included in any of the plurality of mesh regions displayed on the map as the alert target region in the sediment disaster alert determination mesh information,
The disaster response server according to claim 2 or claim 3. A storage unit for storing the user information,
The disaster response server according to any one of claims 1 to 14. The manager of the disaster response server is the company that undertakes the construction contract of the user's house,
The disaster response server according to any one of claims 1 to 15. A meteorological disaster information acquisition step of acquiring meteorological disaster information, which is information indicating an area subject to warning regarding weather or disaster;
Whether the user's house is included in the warning target area based on the user information including the address information or the position information of the user's house that is the user's house and the weather disaster information acquired in the weather disaster information acquisition step A determination step of determining whether or not
A disaster response step of determining a disaster severity of the user's home when the user's home is included in the warning target area in the determination step,
The caution area is composed of a plurality of areas,
The weather disaster information is information indicating the degree of danger of each area,
In the determination step, it is determined whether the user home is included in any of the plurality of areas,
In the disaster response step, a disaster severity, which is a disaster risk of each user's home, reflecting a weight by time, is calculated.
Disaster response method. On the computer,
A meteorological disaster information acquisition step of acquiring meteorological disaster information, which is information indicating an area subject to warning regarding weather or disaster;
Whether the user's house is included in the warning target area based on the user information including the address information or the position information of the user's house that is the user's house and the weather disaster information acquired in the weather disaster information acquisition step A determination step of determining whether or not
A program for executing a disaster response step of determining a disaster severity level of the user's home when the user's home is included in the warning target area in the determination step,
The caution area is composed of a plurality of areas,
The weather disaster information is information indicating the degree of danger of each area,
In the determination step, it is determined whether the user home is included in any of the plurality of areas,
In the disaster response step, a disaster severity, which is a disaster risk of each user's home, reflecting a weight by time, is calculated.
program.

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