JP2020201704A - Disaster prevention support apparatus, disaster prevention support system, disaster prevention support method, and program - Google Patents

Abstract

To provide disaster prevention support device that flexibly and appropriately supports prevention actions against meteorological disasters according to ever-changing situations.SOLUTION: In the disaster prevention support system 100, the disaster prevention support apparatus includes: an information acquisition unit that acquires weather information corresponding to a target location of support and including an alarm or a warning, and related information related to a target disaster in the vicinity of the target location; a prediction unit that estimates prediction information to be predicted in relation to a damage of the target disaster based on plural pieces of information selected from among the weather information and related information, acquired by the information acquisition unit, according to prediction information to be estimated; an action proposal unit that proposes a disaster prevention action for the target disaster based on the prediction information estimated by the prediction unit; and an output processing unit that causes an output unit to output instruction information corresponding to the disaster prevention action proposed by the action proposal unit.SELECTED DRAWING: Figure 1

Description

The present invention relates to a disaster prevention support device, a disaster prevention support system, a disaster prevention support method, and a program.

In the past, decisions to take disaster prevention actions and evacuation actions against meteorological disasters were often made manually by referring to meteorological information such as meteorological warnings and disaster information announced by local governments. Further, in recent years, a technique for supporting disaster prevention actions such as flood control activities based on meteorological information such as rainfall information has been known (see, for example, Patent Document 1). In such a conventional technique, for example, when the amount of rainfall exceeds a set threshold value, it is determined to take a disaster prevention action.

Japanese Unexamined Patent Publication No. 2004-164591

However, with the above-mentioned conventional technique, it has been difficult to flexibly and appropriately respond to the situation that changes from moment to moment.

The present invention has been made to solve the above problems, and an object of the present invention is a disaster prevention support device and a disaster prevention support system capable of flexibly and appropriately providing support for a meteorological disaster according to a situation that changes from moment to moment. , Disaster prevention support methods, and programs.

In order to solve the above problem, one aspect of the present invention is weather information corresponding to a target location of support, which includes weather information including warnings or warnings, and related matters related to a target disaster in the vicinity of the target location. Damage caused by the target disaster based on a plurality of information selected according to the predicted prediction information to be estimated from the information acquisition unit for acquiring information, the weather information acquired by the information acquisition unit, and the related information. A prediction processing unit that estimates the prediction information that is predicted in relation to the prediction processing unit, an action proposal unit that proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing unit, and the action proposal unit. The disaster prevention support device is provided with an output processing unit that outputs instruction information corresponding to the proposed disaster prevention action from the output unit.

Further, in one aspect of the present invention, in the disaster prevention support device, the prediction processing unit is based on the relationship between the changes in the plurality of information observed in the past and the damage situation of the target disaster. It is characterized in that the prediction information is estimated from the information.

Further, one aspect of the present invention includes an action storage unit that stores an application condition based on the prediction information and the disaster prevention action in association with each other in the disaster prevention support device, and the action proposal unit provides the prediction information. It is characterized in that the disaster prevention action is acquired from the action memory unit according to the application condition based on the above.

Further, in one aspect of the present invention, in the disaster prevention support device, the disaster prevention action includes an evacuation action, and the information acquisition unit acquires evacuation site information indicating information on the evacuation site and proposes the action. The department is characterized in that when the disaster prevention action is the evacuation action, the evacuation destination is proposed based on the evacuation site information.

Further, in one aspect of the present invention, in the disaster prevention support device, the information acquisition unit acquires traffic condition information indicating the traffic status of the road or the operation status of the transportation system, and the output processing unit acquires the evacuation action. As the instruction information corresponding to the above, the evacuation instruction based on the traffic condition information is output from the output unit.

Further, in one aspect of the present invention, in the above-mentioned disaster prevention support device, the plurality of pieces of information include a rainfall intensity indicating the intensity of how the rain falls and a water level of sewage. Based on the rainfall intensity and the water level of the sewage, the predicted time until the inland inundation occurs is estimated as the predicted information.

Further, one aspect of the present invention includes the disaster prevention support device, an information collection server that periodically collects the weather information and the related information, and an output device as the output unit, and the information acquisition unit , The disaster prevention support system characterized by acquiring the weather information and the related information from the information collection server.

Further, in one aspect of the present invention, the information acquisition unit provides weather information corresponding to the target location of support, and includes weather information including warnings or warnings, and related information related to the target disaster in the vicinity of the target location. Based on a plurality of information selected according to the predicted prediction information to be estimated from the weather information and the related information acquired by the information acquisition step and the prediction processing unit. The prediction processing step that estimates the prediction information predicted in relation to the damage of the target disaster, and the action proposal unit proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing step. It is a disaster prevention support method characterized by including an action proposal step to be performed and an output processing step in which the output processing unit outputs instruction information corresponding to the disaster prevention action proposed by the action proposal step from the output unit.

In addition, one aspect of the present invention is to obtain weather information corresponding to the target location of support, including warnings or warnings, and related information related to the target disaster in the vicinity of the target location on a computer. Based on a plurality of information selected according to the predicted prediction information to be estimated from the information acquisition step, the weather information acquired by the information acquisition step, and the related information, the damage related to the target disaster is related. A prediction processing step that estimates the predicted information, an action proposal step that proposes a disaster prevention action for the target disaster based on the prediction information estimated by the prediction processing step, and a proposal by the action proposal step. This is a program for executing an output processing step of outputting instruction information corresponding to the disaster prevention action from the output unit.

According to the present invention, it is possible to flexibly and appropriately provide support for a meteorological disaster in response to an ever-changing situation.

It is a block diagram which shows an example of the disaster prevention support system by 1st Embodiment. It is a figure which shows the data example of the behavior memory part in 1st Embodiment. It is a flowchart which shows an example of the operation of the disaster prevention support system by 1st Embodiment. It is a figure which shows the output example of the message by the disaster prevention support system by 1st Embodiment. It is a figure which shows the data example of the behavior memory part in 2nd Embodiment. It is a figure which shows the data example of the instruction information storage part in 2nd Embodiment. It is a figure explaining an example of the disaster of the inland waters flood in 2nd Embodiment. It is a figure which shows an example of the relationship between the precipitation intensity and the rate of rise of a water level in the inland flood. It is a flowchart which shows an example of the operation of the disaster prevention support system by 2nd Embodiment.

Hereinafter, the disaster prevention support device, the disaster prevention support system, and the disaster prevention support method according to the embodiment of the present invention will be described with reference to the drawings.

[First Embodiment]
FIG. 1 is a block diagram showing an example of the disaster prevention support system 100 according to the present embodiment.
As shown in FIG. 1, the disaster prevention support system 100 includes a disaster prevention support device 1, an observation device 3, a surveillance camera 4, an information collection server 5, and an output device 6. The disaster prevention support device 1, the observation device 3, the surveillance camera 4, the information collection server 5, and the output device 6 are connected via the network NW1.

The public server 2 is, for example, a server device of the Japan Meteorological Agency, local governments, public transportation, etc., for example, weather information including warnings or warnings, hazard map information, disaster damage information, transportation status, roads, etc. It is possible to obtain traffic regulation information. The public server 2 can be connected to the disaster prevention support system 100 (information collection server 5) via the network NW1.

The observation device 3 is a device for observing various observation information installed by companies, local governments, organizations, organizations, etc. that have installed the disaster prevention support system 100. For example, the water level for measuring the water level of an anemometer, rain gauge, sewage, etc. It is a total. The observation device 3 transmits various observed observation information to the information collection server 5 via the network NW1.

The surveillance camera 4 monitors the conditions of various places, high waves, water levels, etc. installed by companies, local governments, organizations, organizations, etc. that have installed the disaster prevention support system 100. The surveillance camera 4 transmits the captured image information to the information collection server 5 via the network NW1.
In FIG. 1, one public server 2, the observation device 3, and the surveillance camera 4 are shown for convenience of explanation, but a plurality of public servers 2 may be used.

The output device 6 (an example of an output unit) is, for example, a terminal device such as a PC (Personal Computer), a mobile phone, a smartphone, or a tablet terminal, and various information (for example, location information) from the user to the disaster prevention support system 100 is provided. ), And various information is transmitted to the disaster prevention support device 1, and a message based on the instruction information corresponding to the disaster prevention action transmitted from the disaster prevention support device 1 is output. The output device 6 includes, for example, a display unit (not shown), and displays a message based on the instruction information on the display unit.

The information collection server 5 periodically acquires various information (uniquely owned data) from the public server 2, the observation device 3, and the surveillance camera 4, and stores various information as a database. The information collection server 5 may store the acquired information as it is, or may perform processing such as organizing, selecting, and extracting a part of necessary information to store it. The various information collected by the information collection server 5 includes information that changes from moment to moment.
The information collection server 5 includes a meteorological disaster information storage unit 51, a peripheral situation storage unit 52, an observation information storage unit 53, an evacuation site information storage unit 54, a traffic situation storage unit 55, and a building equipment information storage unit 56. , The organization information storage unit 57 is provided.

The meteorological disaster information storage unit 51 stores, for example, meteorological information including warnings or warnings, disaster information, etc. acquired from the public server 2 via the network NW1 in association with time information. Meteorological information and disaster information include, for example, typhoon course prediction information, probability of entering a storm area, meteorological satellite image, sediment disaster warning judgment mesh information, real-time mesh information of risk such as high-resolution precipitation nowcast, and storm surge. It includes various warnings or warnings such as floods, storms, heavy rains, heavy snowfalls, blizzards, thunder, tornadoes, and information such as predicted rainfall and wind speed.

The surrounding situation storage unit 52 stores related information related to disasters in the surroundings such as river flooding, landslides, and floods acquired from the public server 2 via the network NW1 in association with time information.
The observation information storage unit 53 stores observation information and monitoring information (surveillance images, etc.) acquired from the observation device 3 and the surveillance camera 4 via the network NW1 in association with time information. Observation information includes, for example, rainfall measured by a rain gauge, rainfall intensity, river water level, sewage water level, and the like.

The evacuation site information storage unit 54 stores information related to the evacuation site acquired from the public server 2 or the like via the network NW1, for example, extracted from the hazard map or the evacuation site establishment information. The evacuation site information storage unit 54 stores, for example, the location information of the evacuation site (for example, latitude / longitude information and address), the evacuation site name (for example, XX elementary school, etc.), the target disaster, and the like in association with each other.

The traffic status storage unit 55 stores, for example, the operation status of various transportation means, road traffic regulation, congestion / congestion status, etc. acquired from the public server 2 or the like via the network NW1 in association with the time information.
The building equipment information storage unit 56 stores information on the structures of various organizations such as companies and local governments that use the disaster prevention support system 100, and equipment that can be used for disaster prevention.
The organization information storage unit 57 stores information on various organizations such as companies and local governments that use the disaster prevention support system 100. The organization information storage unit 57 stores the name of the organization, the number of people, the arrangement location, and the like.

The disaster prevention support device 1 acquires various information (for example, weather information and related information related to a disaster) that changes from moment to moment collected by the information collection server 5, and proposes disaster prevention actions by combining a plurality of the information. .. The disaster prevention support device 1 includes a storage unit 11 and a control unit 12.
The storage unit 11 stores various information used for processing of the disaster prevention support device 1. The storage unit 11 includes a prediction information storage unit 111, an action storage unit 112, and an instruction information storage unit 113.

The prediction information storage unit 111 stores the prediction information estimated by the prediction processing unit 122 of the control unit 12, which will be described later. Further, the prediction information storage unit 111 may store information (for example, machine learning model information, learning result, etc.) in order to generate prediction information.

The action storage unit 112 stores the application conditions for determining the disaster prevention action proposed by the action proposal unit 123 of the control unit 12, which will be described later, in association with the disaster prevention action. Here, a data example of the action storage unit 112 will be described with reference to FIG.
FIG. 2 is a diagram showing a data example of the behavior storage unit 112 in the present embodiment.

As shown in FIG. 2, the action storage unit 112 stores the “disaster type”, the “applicable condition”, and the “disaster prevention action” in association with each other. "Type of disaster" indicates the disaster to be supported, and "Applicable condition" indicates the applicable condition to which the disaster prevention action is applied (determined). In addition, "disaster prevention action" indicates the content of disaster prevention action.

For example, in the example shown in FIG. 2, the "type of disaster" is "typhoon" and the "applicable condition" is "predicted to enter the typhoon storm warning area in 3 days". In this case, "disaster prevention action" Indicates that "countermeasures against inundation and typhoons".
Returning to the explanation of FIG. 1, the instruction information storage unit 113 stores instruction information corresponding to the disaster prevention action, message information to be output to the outside based on the instruction information, and the like.

The control unit 12 is, for example, a processor including a CPU (Central Processing Unit) and the like, and controls the disaster prevention support device 1 in an integrated manner. The control unit 12 includes an information acquisition unit 121, a prediction processing unit 122, an action proposal unit 123, and an output processing unit 124.

The information acquisition unit 121 acquires various data from the outside. The information acquisition unit 121 acquires, for example, position information of a place targeted for disaster support from an output device 6 or the like. In addition, the information acquisition unit 121 acquires the weather information corresponding to the target location of support and the related information related to the target disaster in the vicinity of the target location from the information collection server 5 via the network NW1. The related information includes, for example, various observation information, surrounding damage information, evacuation site information, traffic condition information, information on target facilities, information transmitted from the national government and local governments, and the like. Here, the information on the target facility includes, for example, information such as the location of the facility and the scale of the building, information indicating the operating status of the facility equipment (power supply, air conditioning, water supply / drainage, gas, etc.), and a location to be preferentially protected in the event of a disaster. (Vulnerable places, important places, dangerous places, etc.), information on entering and exiting facilities, information on the presence of personnel, etc. are included.

In addition, the information transmitted from the national and local governments includes, for example, notifications of evacuation preparations and evacuation advisories, and the operating status of protective infrastructure such as breakwaters and floodgates.
In addition, the traffic status information is information indicating the traffic status of the road or the operation status of the transportation system. In addition to railroads and buses, the operation status of transportation includes operation information of ships and aircraft.

The prediction processing unit 122 determines the target disaster based on a plurality of information (at least two types of information) selected according to the predicted prediction information to be estimated from the weather information and related information acquired by the information acquisition unit 121. Estimate disaster prediction information (prediction information) predicted in relation to damage. For example, when the target disaster is a "typhoon", the prediction processing unit 122 passes around the target location of the typhoon support based on the typhoon passage prediction route information, various warning / warning information, and the like. Estimate the time until (date) as disaster prediction information. The prediction processing unit 122 stores the estimated disaster prediction information in the prediction information storage unit 111.

The prediction processing unit 122 estimates disaster prediction information from a plurality of pieces of information based on the relationship between changes in a plurality of pieces of information observed in the past and the damage situation of the target disaster, not limited to the current information. You may. For example, the prediction processing unit 122 performs various machine learning based on changes in a plurality of information observed in the past and the damage status of the target disaster, and estimates the disaster prediction information based on the result of the machine learning. May be good.
Here, machine learning includes, for example, multiple regression analysis, Kalman filter, neural network (deep learning), random forest, support vector machine and the like.

The action proposal unit 123 proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing unit 122. The action proposal unit 123 acquires and determines the "disaster prevention action" corresponding to the "disaster type" and "applicable condition" stored in the action memory unit 112.
The disaster prevention action also includes an evacuation action, and when the disaster prevention action is an evacuation action, the action proposal unit 123 determines the evacuation destination based on the evacuation site information acquired from the information collection server 5 by the information acquisition unit 121. suggest. In addition, the action proposal unit 123 may determine an evacuation site and an evacuation route based on traffic condition information when proposing an evacuation destination.

The output processing unit 124 outputs instruction information corresponding to the disaster prevention action proposed by the action proposal unit 123 from the output unit (for example, the output device 6). For example, the output processing unit 124 acquires instruction information corresponding to the disaster prevention action from the instruction information storage unit 113, transmits a message indicating the instruction information to the output device 6, and causes the output device 6 to display the instruction information. Further, when the disaster prevention action is an evacuation action, the output processing unit 124 may output an evacuation instruction based on the traffic situation information from the output device 6 as the instruction information.

Next, the operation of the disaster prevention support system 100 according to the present embodiment will be described with reference to the drawings.
FIG. 3 is a flowchart showing an example of the operation of the disaster prevention support system 100 according to the present embodiment. Here, the operation of the disaster prevention support device 1 will be described.

As shown in FIG. 3, the information acquisition unit 121 of the disaster prevention support device 1 acquires meteorological disaster information, surrounding situation information, and observation information (step S101). The information acquisition unit 121 acquires various information corresponding to the target location from, for example, the information collection server 5.

Next, the prediction processing unit 122 of the disaster prevention support device 1 predicts the disaster prediction information based on the acquired plurality of information (step S102). The prediction processing unit 122 comprehensively determines a plurality of acquired information, predicts disaster prediction information, and stores the predicted disaster prediction information in the prediction information storage unit 111.

Next, the action proposal unit 123 of the disaster prevention support device 1 determines whether or not the disaster prediction information and the application conditions match (step S103). The action proposal unit 123 determines whether or not the disaster prediction information stored in the prediction information storage unit 111 matches the application condition of the disaster prevention action stored in the action storage unit 112. The action proposal unit 123 advances the process to step S104 when the applicable conditions are met (step S103: YES). Further, the action proposal unit 123 returns the process to step S101 when there is nothing that matches the application conditions (step S103: NO).

In step S104, the action proposal unit 123 selects the disaster prevention action according to the applicable conditions. That is, the action proposal unit 123 reads the disaster prevention action corresponding to the applicable condition from the action memory unit 112 and determines the disaster prevention action.

Next, the action proposal unit 123 determines whether or not the disaster prevention action is “evacuation” (evacuation action) (step S105). When the disaster prevention action is "evacuation" (step S105: YES), the action proposal unit 123 proceeds to the process in step S106. Further, the action proposal unit 123 proceeds to the process in step S109 when the disaster prevention action is another disaster prevention empress whose disaster prevention action is not "evacuation" (step S105: NO).

In step S106, the information acquisition unit 121 acquires the evacuation site information and the traffic condition information from the information collection server 5.
Next, the action proposal unit 123 proposes an evacuation Basho and an evacuation route, and generates a message (step S107). That is, the action proposal unit 123 proposes an evacuation basho and an evacuation route using the evacuation site information and the traffic condition information acquired from the information collection server 5, and the output processing unit 124 evacuation including the evacuation basho and the evacuation route. Generate a message instructing an action.

Next, the output processing unit 124 outputs the generated message (step S108). The output processing unit 124 transmits the generated message to, for example, the output device 6 and displays it on the display unit of the output device 6. After the process of step S108, the disaster prevention support device 1 ends the process.

Further, in step S109, the output processing unit 124 generates a message based on the instruction information corresponding to the disaster prevention action. After the processing in step S108, the output processing unit 124 advances the processing to step S108 and outputs the generated message.
The processes of steps S101 to S109 by the disaster prevention support device 1 may be executed periodically, or may be executed in response to a request from the output device 6.

FIG. 4 is a diagram showing an output example of a message by the disaster prevention support system 100 according to the present embodiment.
FIG. 4A shows an output example of a message in the disaster prevention preparation phase of a typhoon. The output device 6 displays the message transmitted by the disaster prevention support device 1 to the output device 6 on the display unit and outputs the message as shown in FIG. 4A.

In the example shown in FIG. 4A, based on the disaster prediction information predicted by the prediction processing unit 122 (for example, it will be within the storm warning area after 3 days, etc.), “within the storm warning area of typhoon XX after 3 days, etc.) The output device 6 displays the message "Inundation due to heavy rain and damage due to storms are predicted. Please implement and complete inundation countermeasures and storm countermeasures by the end of today."

Further, FIG. 4B shows an output example of a message of the disaster prevention implementation phase of the typhoon.
In the example shown in FIG. 4B, "a new flood warning was announced based on the disaster prediction information predicted by the prediction processing unit 122 (for example, it will be within the storm warning area within 3 hours). The output device 6 displays the message "Please complete the ongoing disaster prevention activities immediately and evacuate to the XX evacuation center immediately."

Further, FIG. 4C shows an output example of a message in the typhoon damage confirmation phase.
In the example shown in FIG. 4 (c), based on the disaster prediction information (for example, typhoon passage, etc.) predicted by the prediction processing unit 122, "All warnings have been canceled. It is necessary after confirming the damage situation. The output device 6 displays the message "Please report to the office according to the above."

As described above, the disaster prevention support device 1 according to the present embodiment includes an information acquisition unit 121, a prediction processing unit 122, an action proposal unit 123, and an output processing unit 124. The information acquisition unit 121 acquires weather information corresponding to the target location of support, including warnings or warnings, and related information related to the target disaster in the vicinity of the target location. The prediction processing unit 122 predicts the damage of the target disaster based on a plurality of information selected according to the predicted prediction information to be estimated from the weather information and related information acquired by the information acquisition unit 121. Estimate forecast information (disaster forecast information). The action proposal unit 123 proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing unit 122. The output processing unit 124 outputs instruction information corresponding to the disaster prevention action proposed by the action proposal unit 123 from the output unit.

As a result, the disaster prevention support device 1 according to the present embodiment estimates predicted information related to damage based on a plurality of information that changes from moment to moment, and based on the predicted information, the target disaster. In order to propose disaster prevention actions for disaster prevention, it is possible to provide flexible and appropriate support for meteorological disasters. The disaster prevention support device 1 according to the present embodiment does not have advanced expertise in grasping and analyzing specific disaster prevention activity items (when, who, where, and what to do), for example. Can also be determined appropriately.

Further, in the present embodiment, the prediction processing unit 122 estimates the prediction information from the plurality of information based on the relationship between the change of the plurality of information observed in the past and the damage situation of the target disaster. For example, the prediction processing unit 122 may use the machine learning result as the relationship between the change of a plurality of information observed in the past and the damage situation of the target disaster.
As a result, the disaster prevention support device 1 according to the present embodiment can estimate the predicted information more accurately, so that it is possible to provide more flexible and appropriate support for the meteorological disaster.

Further, the disaster prevention support device 1 according to the present embodiment includes an action storage unit 112 that stores the application conditions based on the prediction information and the disaster prevention action in association with each other. The action proposal unit 123 acquires disaster prevention actions from the action memory unit 112 according to the application conditions based on the prediction information.
As a result, the disaster prevention support device 1 can appropriately determine the disaster prevention action for the meteorological disaster by associating the application conditions set in advance with the disaster prevention action.

Further, in the present embodiment, the disaster prevention action includes an evacuation action. The information acquisition unit 121 acquires evacuation site information indicating information on the evacuation site, and the action proposal unit 123 proposes an evacuation destination based on the evacuation site information when the disaster prevention action is an evacuation action.
As a result, the disaster prevention support device 1 according to the present embodiment can propose a more appropriate evacuation destination according to the situation that changes from moment to moment in the evacuation behavior.

Further, in the present embodiment, the information acquisition unit 121 acquires traffic condition information indicating the traffic condition of the road or the operation status of the transportation means. The output processing unit 124 outputs an evacuation instruction based on the traffic condition information from the output unit as the instruction information corresponding to the evacuation behavior.
As a result, the disaster prevention support device 1 according to the present embodiment can give a more appropriate evacuation order in the evacuation action according to the traffic condition of the road or the operation condition of the transportation system.

Further, the disaster prevention support system 100 according to the present embodiment includes the disaster prevention support device 1 described above, an information collection server 5, and an output device 6 as an output unit. The information collection server 5 periodically collects the above-mentioned weather information and related information. In addition, the information acquisition unit 121 acquires weather information and related information from the information collection server 5.
As a result, the disaster prevention support system 100 according to the present embodiment has the same effect as the disaster prevention support device 1 described above, and can flexibly and appropriately support the weather disaster.

Further, the disaster prevention support method according to the present embodiment includes an information acquisition step, a prediction processing step, an action proposal step, and an output processing step. In the information acquisition step, the information acquisition unit 121 acquires weather information corresponding to the target location of support, including warnings or warnings, and related information related to the target disaster in the vicinity of the target location. In the prediction processing step, the prediction processing unit 122 relates to the damage of the target disaster based on a plurality of information selected according to the predicted prediction information to be estimated from the weather information and related information acquired by the information acquisition step. To estimate the predicted information. In the action proposal step, the action proposal unit 123 proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing step. In the output processing step, the output processing unit 124 outputs the instruction information corresponding to the disaster prevention action proposed by the action proposal step from the output unit.
As a result, the disaster prevention support method according to the present embodiment has the same effect as the disaster prevention support device 1 described above, and can flexibly and appropriately support the weather disaster.

[Second Embodiment]
Next, the disaster prevention support device 1 and the disaster prevention support system 100 according to the second embodiment will be described with reference to the drawings.
In this embodiment, as a modification of the first embodiment, an embodiment of disaster prevention support in the event of inland flooding will be described.
Further, the basic configuration of the present embodiment is the same as that of the first embodiment shown in FIG. 1, and the parts different from the first embodiment will be described below.

As shown in FIG. 5, the action storage unit 112 of the present embodiment stores the applicable conditions regarding inland waters inundation and the disaster prevention action in association with each other.
FIG. 5 is a diagram showing a data example of the behavior storage unit 112 in the present embodiment. In the example shown in this figure, in the "inland flooding" of the "disaster type", the "disaster prevention action" when the "applicable condition" is the "predicted flooding time T <10 minutes" is the "evacuation action". , It is shown that the "disaster prevention action" when the "applicable condition" is the "estimated flooding time T <30 minutes" is "installation of a water stop plate". It also indicates that the "disaster prevention action" when the "applicable condition" is the "estimated inundation time T <60 minutes" is the "warning system".

Further, as shown in FIG. 6, the instruction information storage unit 113 of the present embodiment stores the disaster prevention action related to the inland waters flood and the instruction information in association with each other.
FIG. 6 is a diagram showing a data example of the instruction information storage unit 113 in the present embodiment. In the example shown in this figure, in the "inland flooding" of the "disaster type", the "instruction information" when the "disaster prevention action" is "evacuation action" is "no entry to dangerous places, flood control personnel". It indicates that it is an "evacuation". It also indicates that the "instruction information" when the "disaster prevention action" is the "warning system" is "alert to the concerned parties, gathering of flood control personnel".

Here, the inland waters inundation, which is the target disaster of the present embodiment, will be described.
FIG. 7 is a diagram illustrating an example of an inland waters flood disaster in the present embodiment.
Inland waters inundation is an event in which water overflows from manholes and the like and the ground is flooded due to rain that exceeds the treatment capacity of sewerage. As shown in FIG. 7, when the amount of precipitation in the manhole M1 increases and the amount of water flowing through the sewer pipe P1 increases, the water surface WF of the sewage in the manhole M1 rises, and the distance H from the water surface WF to the ground surface GF. (Sewerage water level H) decreases. When the water surface WF of sewage reaches the ground surface GF, inland water inundation occurs.

When the distance H from the water surface WF to the ground surface GF is, the predicted time T until the inland water inundation occurs can be expressed by the following equation (1) using the water level rise rate v of the sewer.

T = H / v ... (1)

Here, the water level rise speed v can be predicted using the rainfall intensity P. That is, the predicted time T can be expressed by the following equation (2), including the relationship between the water level rising speed v and the rainfall intensity P.

T = H / v (P) ・ ・ ・ (2)

In addition, FIG. 8 is a diagram showing an example of the relationship between the rainfall intensity and the rising speed of the water level in the inundation. In this figure, the graph shows the relationship between the rainfall intensity P for 10 minutes and the water level rising speed v, and each point shows the past observation data. For the straight line W1, the relational expression (regression equation) for predicting the water level rise rate v by the rainfall intensity P by using the linear regression method using these past observation data is the following equation (3). is there.

v (P) = aP + b ... (3)

Here, the constants a and b are the machine learning results and parameters of the linear regression method.

The prediction processing unit 122 of the present embodiment estimates, as prediction information, the prediction time T until inland water inundation occurs based on the rainfall intensity P indicating the intensity of rainfall and the water level H of the sewage. That is, in the present embodiment, the prediction processing unit 122 selects the rainfall intensity P and the water level H of the sewage as a plurality of information from the meteorological information and the related information, and the above-mentioned equations (3) and (2). Is used to generate a prediction time T as prediction information.

In addition, the action proposal unit 123 of the present embodiment proposes disaster prevention actions for the target disaster based on the predicted time T estimated by the prediction processing unit 122. The action proposal unit 123 acquires the disaster prevention action corresponding to the application condition based on the predicted time T from the action storage unit 112 shown in FIG. 5 described above.
Further, the output processing unit 124 of the present embodiment outputs instruction information corresponding to the disaster prevention action proposed by the action proposal unit 123 from the output device 6. That is, the output processing unit 124 acquires the instruction information corresponding to the disaster prevention action from the instruction information storage unit 113, and outputs a message indicating the instruction information from the output device 6.

Next, the operation of the disaster prevention support system 100 of the present embodiment will be described with reference to FIG.
FIG. 9 is a flowchart showing an example of the operation of the disaster prevention support system 100 according to the present embodiment. Here, the operation of the disaster prevention support device 1 corresponding to the inundation of inland water will be described.

As shown in FIG. 9, the information acquisition unit 121 of the disaster prevention support device 1 acquires the rainfall intensity P and the sewerage water level H (step S201). The information acquisition unit 121 acquires, for example, the rainfall intensity P and the sewerage water level H corresponding to the target location from the information collection server 5 as related information.

Next, the control unit 12 (action proposal unit 123) of the disaster prevention support device 1 determines whether or not the rainfall is continuing (step S202). The control unit 12 (action proposal unit 123) determines whether or not the precipitation is continuing based on the acquired rainfall intensity P. The control unit 12 advances the process to step S203 when the rainfall continues (step S202: YES). Further, the control unit 12 advances the process to step S207 when the rainfall is not continued (step S202: NO).

In step S203, the prediction processing unit 122 of the disaster prevention support device 1 calculates the prediction time T until the inland waters overflow. That is, the prediction processing unit 122 calculates the prediction time T based on the rainfall intensity P, the sewerage water level H, and the above-mentioned equations (3) and (2).

Next, the action proposal unit 123 determines whether or not the predicted time T is less than 10 minutes (step S204). When the predicted time T is less than 10 minutes (step S204: YES), the action proposal unit 123 advances the process to step S208. Further, the action proposal unit 123 advances the process to step S205 when the predicted time T is 10 minutes or more (step S204: NO).

In step S205, the action proposal unit 123 determines whether or not the predicted time T is less than 30 minutes. That is, the action proposal unit 123 determines whether or not the predicted time T is 10 minutes or more and less than 30 minutes. The action proposal unit 123 advances the process to step S209 when it is 10 minutes or more and less than 30 minutes (step S205: YES). Further, the action proposal unit 123 advances the process to step S206 when the predicted time T is 30 minutes or more (step S205: NO).

In step S206, the action proposal unit 123 determines whether or not the predicted time T is less than 60 minutes. That is, the action proposal unit 123 determines whether or not the predicted time T is 30 minutes or more and less than 60 minutes. The action proposal unit 123 advances the process to step S210 when it is 30 minutes or more and less than 60 minutes (step S206: YES). Further, the action proposal unit 123 returns the process to step S201 when the predicted time T is 60 minutes or more (step S206: NO).

In step S205, the action proposal unit 123 sets the disaster prevention action as "cancellation of the disaster prevention system", and the output processing unit 124 generates the corresponding message. After the processing in step S205, the output processing unit 124 advances the processing to step S211.

Further, in step S208, the action proposal unit 123 sets the disaster prevention action as "evacuation", and the output processing unit 124 generates the corresponding message. That is, the action proposal unit 123 refers to the action storage unit 112 and selects "evacuation action" as the disaster prevention action, and the output processing unit 124 refers to the instruction information storage unit 113 and "enters the dangerous place". Generate a message indicating "Prohibition, evacuation of flood control personnel". After the processing in step S208, the output processing unit 124 advances the processing to step S211.

Further, in step S209, the action proposal unit 123 sets the disaster prevention action as "installation of a water stop plate", and the output processing unit 124 generates the corresponding message. That is, the action proposal unit 123 refers to the action storage unit 112 and selects “water stop plate installation” as the disaster prevention action, and the output processing unit 124 refers to the instruction information storage unit 113 and “water stop plate”. Generate a message indicating "installation". After the processing in step S209, the output processing unit 124 advances the processing to step S211.

In step S211 the output processing unit 124 outputs the generated message. That is, the output processing unit 124 transmits the generated message to the output device 6, displays the message on the display unit of the output device 6, and outputs the message. After the processing in step S211 the output processing unit 124 ends the processing.
The processes of steps S201 to S211 described above by the disaster prevention support device 1 may be executed periodically or may be executed by a request from the output device 6.

As described above, in the present embodiment, the plurality of information selected from the meteorological information and the related information include the rainfall intensity P indicating the intensity of rainfall and the sewerage water level H (sewage water level). And are included. The prediction processing unit 122 estimates, as prediction information, the prediction time T until the occurrence of inland water inundation based on the rainfall intensity P and the sewerage water level H.
As a result, the disaster prevention support device 1 and the disaster prevention support system 100 according to the present embodiment can flexibly and appropriately support the inland waters when the target disaster is an inland waters inundation. Therefore, the disaster prevention support device 1 and the disaster prevention support system 100 according to the present embodiment can realize an efficient and rational disaster prevention action by judging the disaster prevention action based on the prediction result, and the damage caused by the meteorological disaster. Can contribute to the prevention or mitigation of.

The present invention is not limited to each of the above embodiments, and can be modified without departing from the spirit of the present invention.
For example, in each of the above embodiments, the output device 6 (output unit) has described an example of displaying and outputting a message, but the present invention is not limited to this. The output device 6 may output information indicating instruction information by voice, for example, like a disaster prevention speaker device. In this case, unlike the display of the terminal device or the like, it is possible to forcibly notify the user of the instruction information by voice.

Further, in each of the above embodiments, an example in which the information collection server 5 and the disaster prevention support device 1 are configured by different devices has been described, but the present invention is not limited to this, and the information collection server 5 and the disaster prevention support device 1 are not limited thereto. 1 may be configured as one device, or some functions of the information collection server 5 and the disaster prevention support device 1 may be included in the other device.

Further, in each of the above embodiments, the weather information and related information are not limited to those described above, and may be other information. Further, the prediction information is not limited to the one described above, and may be other prediction information. Further, the weather information and the related information include time information, and the prediction processing unit 122 may estimate the prediction information based on a plurality of information including the time information.

Each configuration of the disaster prevention support system 100 and the disaster prevention support device 1 described above has a computer system inside. Then, a program for realizing the functions of each configuration included in the disaster prevention support system 100 and the disaster prevention support device 1 described above is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system. By executing the processing, the processing in each configuration provided in the disaster prevention support system 100 and the disaster prevention support device 1 described above may be performed. Here, "loading a computer system a program recorded on a recording medium and executing it" includes installing the program in the computer system. The term "computer system" as used herein includes hardware such as an OS and peripheral devices.
Further, the "computer system" may include a plurality of computer devices connected via a network including a communication line such as the Internet, WAN, LAN, and a dedicated line. Further, the "computer-readable recording medium" refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, or a CD-ROM, or a storage device such as a hard disk built in a computer system. As described above, the recording medium in which the program is stored may be a non-transient recording medium such as a CD-ROM.

The recording medium also includes a recording medium provided inside or outside that can be accessed from the distribution server for distributing the program. It should be noted that the configuration in which the program is divided into a plurality of programs and downloaded at different timings and then combined with each configuration provided in the disaster prevention support system 100 and the disaster prevention support device 1 and the distribution server for distributing each of the divided programs are different. You may. Furthermore, a "computer-readable recording medium" holds a program for a certain period of time, such as a volatile memory (RAM) inside a computer system that serves as a server or client when the program is transmitted via a network. It shall include things. Further, the above program may be for realizing a part of the above-mentioned functions. Further, a so-called difference file (difference program) may be used, which can realize the above-mentioned functions in combination with a program already recorded in the computer system.

1 ... Disaster prevention support device, 2 ... Public server, 3 ... Observation device, 4 ... Surveillance camera, 5 ... Information collection server, 6 ... Output device, 11 ... Storage unit, 12 ... Control unit, 51 ... Meteorological disaster information storage unit, 52 ... Surrounding situation storage unit, 53 ... Observation information storage unit, 54 ... Evacuation site information storage unit, 55 ... Traffic condition storage unit, 56 ... Building equipment information storage unit, 57 ... Organizational information storage unit, 100 ... Disaster prevention support system, 111 ... Prediction information storage unit, 112 ... Action storage unit, 113 ... Instruction information storage unit, 121 ... Information acquisition unit, 122 ... Prediction processing unit, 123 ... Action proposal unit, 124 ... Output processing unit

Claims (9)

An information acquisition unit that acquires weather information that corresponds to the target location of support, including warnings or warnings, and related information related to the target disaster in the vicinity of the target location.
The predicted information predicted in relation to the damage of the target disaster based on a plurality of information selected according to the estimated predicted information from the weather information and the related information acquired by the information acquisition unit. Prediction processing unit that estimates
An action proposal unit that proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing unit.
A disaster prevention support device including an output processing unit that outputs instruction information corresponding to the disaster prevention action proposed by the action proposal unit from the output unit. Claim 1 is characterized in that the prediction processing unit estimates the prediction information from the plurality of information based on the relationship between the change of the plurality of information observed in the past and the damage situation of the target disaster. Disaster prevention support device described in. It is provided with an action storage unit that stores the application conditions based on the prediction information and the disaster prevention action in association with each other.
The disaster prevention support device according to claim 1 or 2, wherein the action proposal unit acquires the disaster prevention action from the action memory unit according to the application conditions based on the prediction information. The disaster prevention action includes evacuation action,
The information acquisition unit acquires evacuation site information indicating information on the evacuation site, and obtains evacuation site information.
The action proposal unit according to any one of claims 1 to 3, wherein when the disaster prevention action is the evacuation action, the action proposal unit proposes an evacuation destination based on the evacuation site information. Disaster prevention support device. The information acquisition unit acquires traffic condition information indicating the traffic condition of the road or the operation status of the transportation system, and obtains the traffic condition information.
The disaster prevention support device according to claim 4, wherein the output processing unit outputs an evacuation instruction based on the traffic condition information from the output unit as instruction information corresponding to the evacuation behavior. The plurality of pieces of information include the intensity of rainfall, which indicates the intensity of rainfall, and the water level of sewage.
Any of claims 1 to 5, wherein the prediction processing unit estimates, as the prediction information, the prediction time until the occurrence of inland waters inundation based on the rainfall intensity and the water level of the sewage. The disaster prevention support device described in item 1. The disaster prevention support device according to any one of claims 1 to 6.
An information collection server that periodically collects the weather information and related information,
It is equipped with an output device as the output unit.
The information acquisition unit is a disaster prevention support system characterized by acquiring the weather information and the related information from the information collection server. An information acquisition step in which the information acquisition department acquires weather information corresponding to a target location for support, including warnings or warnings, and related information related to a target disaster in the vicinity of the target location.
The prediction processing unit is related to the damage of the target disaster based on a plurality of information selected according to the predicted prediction information to be estimated from the weather information and the related information acquired by the information acquisition step. A prediction processing step for estimating the predicted prediction information, and
An action proposal step in which the action proposal unit proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing step.
A disaster prevention support method, characterized in that the output processing unit includes an output processing step for outputting instruction information corresponding to the disaster prevention action proposed by the action proposal step from the output unit. On the computer
An information acquisition step for acquiring meteorological information including warnings or warnings, and related information related to a target disaster in the vicinity of the target location, which is weather information corresponding to the target location of support.
The prediction predicted in relation to the damage of the target disaster based on a plurality of information selected according to the estimated prediction information from the weather information and the related information acquired by the information acquisition step. Predictive processing steps to estimate information and
An action proposal step that proposes disaster prevention actions for the target disaster based on the prediction information estimated by the prediction processing step, and
A program for executing an output processing step that outputs instruction information corresponding to the disaster prevention action proposed by the action proposal step from the output unit.

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