System, processing method, and program

Abstract

To provide a system for quickly and accurately grasping the situation in a target area.SOLUTION: A system includes: a first information acquisition unit which acquires first disaster information including at least one of sensing data obtained by sensing a target area using a flight vehicle and determination information determined by a disaster damage determination unit based on the sensing data; and a second information acquisition unit which acquires second disaster information including at least one of reception information received from an external system or an on-site terminal device used by an on-site team in a disaster area, and the determination information determined by the disaster damage determination unit based on the reception information. The system further includes: an integrated information generation unit which generates integrated information by integrating the first disaster information acquired by the first information acquisition unit with the second disaster information acquired by the second information acquisition unit; or an integrated information display unit which displays the integrated information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a system, a processing method, and a program. [Background technology]

[0002] Patent Document 1 discloses a building damage estimation device that estimates disaster damage to buildings from color optical images taken from the air and building polygons acquired before the disaster occurs, as a technology for estimating disaster damage to buildings quickly and with high accuracy in relation to an area of ​​interest. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-95886 Summary of the Invention [Problem to be solved by the invention]

[0004] In the event of an emergency, such as a natural disaster or an attack from an enemy aircraft, it is necessary to make prompt and appropriate decisions regarding the various support activities required at the disaster site, such as rescue operations, firefighting, infrastructure restoration work, evacuation shelter support, etc. Therefore, the crisis response headquarters that directs the support activities must quickly and accurately grasp the situation at the disaster site.

[0005] As a means of grasping the situation at disaster sites, a technology has been proposed that uses optical images taken from the air to estimate the damage status of buildings and other structures, as in Patent Document 1. However, it is difficult to estimate the damage status of locations that cannot be seen from the air, and there remains the problem that detailed situations cannot be grasped due to the resolution of the captured images.

[0006] In addition to Patent Document 1, an information provision system has been proposed that aggregates and provides information obtained from external systems, such as information released by the Japan Meteorological Agency, media news information, and transportation operation information, on a map. However, there remains the problem that it is not possible to confirm the latest situation over a wide area using images or video, and it is not possible to fully grasp the situation at the disaster site.

[0007] Therefore, the present invention has been made in consideration of at least one of the above problems, and has as its object to grasp the situation in a target area more quickly or more accurately. [Means for solving the problem]

[0008] According to the present invention, a system is obtained which includes a first information acquisition unit which acquires first disaster information including at least one of sensing data obtained by sensing a target area using an air vehicle or determination information determined by a disaster situation determination unit based on the sensing data, and a second information acquisition unit which acquires second disaster information including at least one of received information received from an on-site terminal device used by on-site units in the disaster area or an external system or determination information determined by the disaster situation determination unit based on the received information, and further includes an integrated information generation unit which generates integrated information that integrates the first disaster information acquired by the first information acquisition unit and the second disaster information acquired by the second information acquisition unit, or an integrated information display unit which displays the integrated information. [Effects of the Invention]

[0009] According to the present invention, the situation in a target area can be grasped more quickly or more accurately. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a diagram illustrating the overall configuration of a linkage system 1 according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram showing an example of stakeholders related to each subsystem of the collaboration system 1 according to one embodiment of the present invention. [Figure 3] FIG. 1 is a functional configuration diagram of a data acquisition system 1000. [Figure 4] FIG. 4 is a functional block diagram of an external system 4000. [Figure 5] FIG. 2 is a functional block diagram of a spatial information data utilization system 2000. [Figure 6] FIG. 3 is a functional block diagram of an information distribution system 3000. [Figure 7] FIG. 2 is a hardware configuration diagram of a spatial information data utilization system 2000, etc. [Figure 8] FIG. 2 is a flowchart showing a control flow of the linkage system 1. [Figure 9] 10 is a diagram showing an example of a map image generated by a map image generating unit 2130. FIG. [Figure 10] 10 is a diagram showing an example of external disaster information acquired by an external system information acquisition unit 2210 and on-site disaster information acquired by an on-site unit information acquisition unit 2220. FIG. [Figure 11] FIG. 10 is a flowchart showing a control flow when the disaster situation determination unit 2300 determines the current disaster situation. [Figure 12] FIG. 10 is a diagram showing the results of disaster situation determination based on a map image by the aeronautical information interpretation unit 2310. [Figure 13] FIG. 10 is a diagram showing the results of disaster situation determination by the disaster-related information interpretation unit 2320 based on images captured by a ground camera. [Figure 14] FIG. 10 is a diagram showing the results of disaster situation determination based on SNS information by the disaster-related information interpretation unit 2320. [Figure 15] FIG. 10 is a diagram showing the results of disaster situation determination based on on-site unit information by the disaster-related information interpretation unit 2320. [Figure 16] FIG. 10 is a diagram showing an example in which the disaster situation determination result based on a map image and the disaster situation based on other acquired information are displayed in an integrated manner. [Figure 17] This is a table showing the reliability of the assessment results for the disaster location, location / area, and damage scale included in the assessed disaster situation. [Figure 18]This figure shows an example of an integrated assessment of the damage situation made by the integrated interpretation unit, taking into account the reliability of the assessment results based on each piece of information. [Figure 19] FIG. 10 is a diagram showing an example of a prediction result when the disaster situation determination unit 2300 predicts a future disaster situation. [Figure 20] 20 is a diagram illustrating an example of a method for determining the validity of each piece of acquired information and each determination result by an information validity determination unit 2400. FIG. [Figure 21] FIG. 10 is a diagram showing an example of a display screen of a common situation diagram. [Figure 22] FIG. 10 is a diagram showing an example of a display screen of a common situation diagram updated by the common situation diagram generating unit 2500 when new information is received. [Figure 23] FIG. 10 is a diagram showing a power outage area determined by the aeronautical information interpretation unit 2310. [Figure 24] FIG. 10 is a diagram showing a power outage area determined by the integrated interpretation unit 2330. [Figure 25] 10 is a diagram showing the disaster situation determined by the aeronautical information interpretation unit 2310 and the disaster-related information interpretation unit 2320. FIG. [Figure 26] FIG. 10 is a diagram showing an isolated area determined by the integrated interpretation unit 2330. DETAILED DESCRIPTION OF THE INVENTION

[0011] The present invention will be described below by listing the contents of the embodiments. The present invention has the following configuration. [Item 1] a first information acquisition unit that acquires first disaster information including at least one of sensing data obtained by sensing a target area using an aircraft or determination information determined by a disaster situation determination unit based on the sensing data; a second information acquisition unit that acquires second disaster information including at least one of received information received from an on-site terminal device used by an on-site unit in the disaster area or an external system, and determination information determined by the disaster situation determination unit based on the received information; The system further includes an integrated information generation unit that generates integrated information that integrates the first disaster information acquired by the first information acquisition unit and the second disaster information acquired by the second information acquisition unit, or an integrated information display unit that displays the integrated information. [Item 2] In the system according to item 1, The integrated information is a common situation diagram that integrates the first disaster information and the second disaster information onto a map of an area that includes at least a portion of the disaster area. [Item 3] In the system according to item 1 or 2, The first disaster information and the second disaster information each include disaster location information; The integrated information is a common situation diagram that integrates the first disaster information and the second disaster information based on the location information on a map of an area that includes at least a portion of the disaster area. [Item 4] In the system according to any one of items 1 to 3, the first information acquisition unit acquires the first disaster information including a disaster location determined by analyzing and processing the sensing data in the disaster situation determination unit; the second information acquisition unit acquires the second disaster information including the disaster location determined by analyzing and processing the received information in the disaster situation determination unit; The integrated information is a common situation diagram that displays the first disaster information and the second disaster information in association with the disaster location on a map of an area that includes at least a portion of the disaster area. [Item 5] In the system according to any one of items 1 to 4, The disaster situation determination unit analyzes and processes the sensing data or the received information, and when it detects the occurrence of a disaster including at least one of flood, inundation, mudslide, fire, tsunami, and power outage, determines the location or area where the occurrence of the disaster is detected as the disaster location. [Item 6] In the system according to any one of items 1 to 5, The disaster situation determination unit analyzes and processes the sensing data or the received information to detect the operating status of at least one of traffic lights, street lights, and domestic lighting equipment, and determines that a power outage in a location or area where non-operating equipment is detected is the nature of the disaster. [Item 7] In the system according to any one of items 1 to 6, The disaster situation determination unit analyzes and processes the sensing data or the received information to detect at least one of floods, inundation, mudslides, landslides, bridge collapses, fallen trees, and vehicles stopped for a predetermined period of time or longer, and determines that the damage is due to the disruption of roads passing through the location where any of the above is detected. [Item 8] In the system according to any one of items 1 to 7, the first information acquisition unit acquires the first disaster information including details of the disaster determined by analyzing the sensing data in the disaster situation determination unit; the second information acquisition unit acquires the second disaster information including details of the disaster determined by analyzing the received information in the disaster situation determination unit; The integrated information is a common situation diagram that displays the first disaster information and the second disaster information in association with each disaster type on a map of an area that includes at least a portion of the disaster area. [Item 9] In the system according to any one of items 1 to 8, When a first disaster location and a first disaster content are determined based on the sensing data and a second disaster location and a second disaster content are included in the received information, A system that compares the first disaster details and second disaster details corresponding to a first disaster location and a second disaster location that are located at the same location or within a predetermined distance, determines whether the received information is correct or not based on the comparison result, and outputs the determination result. [Item 10] In the system according to any one of items 1 to 9, When a first disaster location and a first disaster content are determined based on the sensing data, and a second disaster location and a second disaster content are included in the received information or are determined based on the received information, A system that compares the first disaster content and the second disaster content that correspond to a first disaster location and a second disaster location that are located at the same location or within a predetermined distance, and, depending on the comparison result, determines whether the first disaster content determined based on the sensing data is correct or whether the second disaster content determined based on the received information is correct or not, and outputs the determination result. [Item 11] In the system according to any one of items 1 to 10, When a predicted location of a first future disaster and a predicted content of the first disaster are predicted based on the sensing data, and a predicted location of a second future disaster and a predicted content of the second disaster are predicted based on the received information, A system that compares a first disaster prediction content and a second disaster prediction content that correspond to a first disaster prediction location and a second disaster prediction location that are located at the same location or within a predetermined distance from each other, and determines whether the first disaster prediction content predicted based on the sensing data is correct or whether the second disaster prediction content predicted based on the received information is correct or not, depending on the comparison result, and outputs the determination result. [Item 12] In the system according to any one of items 1 to 11, a validity confirmation display unit that displays at least one of the first disaster information and the second disaster information; The validity confirmation display unit displays at least one of the following information on a map of an area including at least a portion of the disaster area: the current disaster situation or the predicted future disaster situation determined based on the sensing data, and the current disaster situation or the predicted future disaster situation determined based on the received information. [Item 13] In the system according to any one of items 1 to 12, a validity confirmation display unit that displays at least one of the first disaster information and the second disaster information; The validation display section is The first disaster information includes at least one of the sensing data, a current disaster situation or a predicted future disaster situation determined based on the sensing data, and the second disaster information including at least one of the received information, a current disaster situation or a predicted future disaster situation determined based on the received information, and displaying on a map an area including at least a portion of the disaster area. [Item 14] In the system according to any one of items 1 to 13, A system comprising a user input receiving unit that receives input regarding the validity of at least one of the first disaster information and the second disaster information. [Item 15] In the system according to any one of items 1 to 14, When the first disaster information is newly acquired by the first information acquisition unit, The integrated information generation unit updates the integrated information using the newly acquired first disaster information and notifies the user that the integrated information has been updated. [Item 16] In the system according to any one of items 1 to 15, When the second disaster information is newly acquired by the second information acquisition unit, The integrated information generation unit updates the integrated information using the newly acquired second disaster information and notifies the user that the integrated information has been updated. [Item 17] In the system according to any one of items 1 to 16, The system, wherein the received information received from the on-site terminal device or the external system includes information regarding at least one of road disruptions, train service suspensions, power outages, communication disruptions, water disruptions, and gas disruptions. [Item 18] In the system according to any one of items 1 to 17, The receiving information received from the on-site terminal device or the external system is a system including image information or video information obtained from a camera installed on the ground or a portable mobile camera. [Item 19] A first acquisition step in which a computer acquires first disaster information including at least one of sensing data obtained by sensing a target area including at least a part of a disaster area from above by an aircraft or information determined by a disaster situation determination unit based on the sensing data; A second acquisition step in which a computer acquires second disaster information including at least one of receiving information received from an on-site terminal device or an external system used by a field unit in the disaster area or information determined by the disaster situation determination unit based on the receiving information; An integrated information generation step in which the computer generates integrated information by integrating the first disaster information and the second disaster information; An integrated information display step in which the computer displays the integrated information, and a processing method to be executed. [Item 20] A program that causes a computer to execute a first acquisition command for acquiring first disaster information including at least one of sensing data obtained by sensing a target area including at least a part of a disaster area from above by an aircraft or information determined by a disaster situation determination unit based on the sensing data; A second acquisition command for acquiring second disaster information including at least one of receiving information received from an on-site terminal device or an external system used by a field unit in the disaster area or information determined by the disaster situation determination unit based on the receiving information; An integrated information generation command for generating integrated information by integrating the first disaster information and the second disaster information; An integrated information display command for displaying the integrated information.

[0012] <A. First Embodiment> Hereinafter, embodiments of the present invention will be described with reference to the drawings. In this specification and the drawings, components having substantially the same functional configurations are designated by the same reference numerals, and redundant description will be omitted. Furthermore, the embodiments shown below are merely examples, and other known elements or alternative means may be adopted depending on the application, purpose, scale, etc.

[0013] [A-1. Configuration] (A-1-1. Overview) Fig. 1 is an overall configuration diagram of a collaboration system 1 (hereinafter also referred to as "system 1") according to one embodiment of the present invention. As shown in Fig. 1, the collaboration system 1 includes a data acquisition system 1000, a spatial information data utilization system 2000, an information distribution system 3000, an external system 4000, and a crisis response on-site command system 5000, and each system communicates with each other via an internet line or the like to configure the collaboration system 1 and operate in collaboration with each other.

[0014] The data acquisition system 1000 controls aircraft or other flying objects equipped with sensors including optical cameras, infrared cameras, and laser sensors such as LiDAR to acquire aerial sensing data obtained by sensing information about a target area from the sky. The data acquisition system 1000 may also be a base equipped with a remote control device that exchanges control information with the flying object, or may be composed of a mobile vehicle, ship, flying object, or the like, or may be composed of an immovable building (fixed type).

[0015] The external system 4000 is an external system that can provide disaster information related to the disaster situation, etc., and may include, for example, a map application, a disaster prevention application, the Japan Highway Public Corporation, the Japan Meteorological Agency, an electric power company, a communication company, a gas company, a waterworks bureau, etc. Furthermore, it may also be an SNS, a hospital, mass media, etc., to which information is posted from mobile terminals used by ordinary people.

[0016] The spatial information data utilization system 2000 has a function of processing the aerial sensing data acquired by the data acquisition system 1000 to generate orthoimages, three-dimensional spatial models, three-dimensional spatial data, etc., and combining them with polygon geographic information, etc. to generate map images. Furthermore, the system interprets or predicts the latest disaster situation based on the map images, external information acquired from the external system 4000, and on-site disaster information acquired from the crisis response on-site command system 5000, and generates a common situation map including the latest disaster information.

[0017] The crisis response on-site command system 5000 includes a commanding device 5100 and a plurality of on-site unit terminal devices 5300 that can communicate with the commanding device 5100. As shown in Fig. 1, the on-site unit terminal devices 5300 include, for example, a terminal for the Self-Defense Forces, a terminal for the police, a terminal for the fire brigade, a terminal for the rescue team, a terminal for a heavy equipment operator, a terminal for an evacuation center staff member, and a terminal for a local government staff member. The commanding device 5100 issues work instructions to the on-site unit terminal devices 5300, and receives on-site disaster information, responses to the work instructions, on-site unit information, etc. from the on-site unit terminal devices 5300.

[0018] The information distribution system 3000 acquires the latest common situation diagram (hereinafter also referred to as "integrated information") from the spatial information data utilization system 2000, and transmits the common situation diagram to the commanding device 5100 and each field unit terminal device 5300. Note that the functions of the spatial information data utilization system 2000 and the information distribution system 3000 can be implemented in a common device and configured as a single subsystem (disaster DX system 6000). On the other hand, the functions of the information distribution system 3000 and the commanding device 5100 can also be implemented in a common housing and configured as a single subsystem.

[0019] (A-1-2. Stakeholders within the system) FIG. 2 is a diagram illustrating an example of stakeholders related to each subsystem of the collaboration system 1 according to an embodiment of the present invention. Each subsystem constituting the collaboration system 1 shown in FIG. 1 has users who use the user interface units (including a display unit, an input unit, etc.) provided in that subsystem. In the example shown in FIG. 2, the data acquisition system 1000 is used by a data acquisition manager, the spatial information data utilization system 2000 is used by a common situation map generation manager, the external system 4000 is used by external system personnel, the control device 5100 is used by a crisis management headquarters manager, the Self-Defense Forces terminal is used by the Self-Defense Forces, the police terminal is used by police officers, the fire department terminal is used by the fire department, the rescue team terminal is used by the rescue team, the heavy equipment operator terminal is used by heavy equipment operators, the shelter staff terminal is used by the shelter staff, and the local government staff terminal is used by the local government staff. Note that, in the example shown in FIG. 2, the information distribution system 3000 does not have a user interface unit; however, this is not limited thereto, and a user interface unit for a distribution manager may be provided as a user of the information distribution system 3000.

[0020] (A-1-3. Data Acquisition System 1000) 3 is a functional configuration diagram of the data acquisition system. The data acquisition system 1000 includes an aircraft control system 1100, an aircraft flight operation system 1200, an acquired data management system 1300, a communication infrastructure management system 1400, a logistics support system 1500, a flight management system 1600, and an airspace surveillance and control system 1700.

[0021] The aircraft control system 1100 is a system implemented in an aircraft or other flying object, and performs aircraft control including flight control and measurement control of the flying object. The aircraft control system 1100 includes, for example, a flight unit having a flight function, a sensing unit that performs sensing using sensors (optical cameras, IR cameras, LiDAR, other laser sensors, etc.), a communication unit that communicates with each system via a communication infrastructure management system (described later) via satellites, a mobile phone communication network, etc., a state determination unit that determines each state of flight, sensing, and positioning, a data recording unit that records acquired data, etc., and a state determination result recording unit that records information related to flight control and measurement control, as well as state determination results.

[0022] In this specification, the term "aircraft" refers to any flying object capable of autonomous attitude control, regardless of the power source (electric power, prime mover, etc.), the control method (wireless or wired, fully autonomous flight or partially manual flight, etc.), and whether manned or unmanned. Aircraft may also be referred to as unmanned aerial vehicles (UAVs), multicopters, remote piloted aircraft systems (RPASs), or unmanned aircraft systems (UASs). Aircraft may be fixed-wing aircraft, multicopters with multiple propellers, or VTOL aircraft with both fixed wings and multiple propellers. The term "aircraft" also refers to any device that flies in the sky, such as balloons and satellites, in addition to the aircraft mentioned above.

[0023] The aircraft flight operating system 1200 is a system that generates a flight mission for the aircraft controlled by the aircraft control system 1100 and controls the movement of the aircraft. The flight mission is, for example, a movement plan including the movement route and movement speed of the aircraft, and the movement route is generated, for example, in an airspace at an altitude of 100 to 6000 m. The aircraft flight operating system 1200 transmits control signals to the aircraft via the communication infrastructure management system 1400, which will be described later, in order to operate the aircraft automatically.

[0024] The acquired data management system 1300 has a data management function that acquires and records acquired data (optical image data, IR image data, point cloud data acquired by laser sensors such as LiDAR, other spatial data, etc.) and status data of the target area sensed by the aircraft's airframe control system via communication infrastructure management.

[0025] The communication infrastructure management system 1400 is a system that manages communication means for data (such as sensing data acquired by sensing using an aircraft) transmitted and received between the aircraft control system 1100 and other systems within the data acquisition system 1000, as well as for control information related to aircraft flight and measurement control. Furthermore, the communication infrastructure management system 1400 manages communication means for data (such as sensing data acquired by sensing using an aircraft) transmitted and received between the data acquisition system 1000 and the spatial information data utilization system 2000.

[0026] The logistics support system 1500 is a system that supports the rapid and smooth execution of each task required for acquiring sensing data executed by the data acquisition system 1000 and the coordination between each task. Specifically, the logistics support system 1500 determines whether the acquired data and status data acquired by the acquired data management system 1300 are appropriate and, if inappropriate, requests remeasurement. The logistics support system 1500 may also have a function to determine whether the power and communication infrastructure at the data acquisition site is available and provide alternative means. The logistics support system 1500 may also support each task at the site where an aircraft or other air vehicle is operated (pre-flight equipment preparation, equipment movement, equipment inspection, equipment adjustment, sensor calibration, in-flight operation, coordination, post-flight post-processing, equipment diagnosis, cleanup, etc.). The logistics support system 1500 also determines the equipment and facilities required for each task at the site where an aircraft or other air vehicle is operated and notifies the equipment and facilities management system and reservation system (described later) of the required equipment and facilities.

[0027] The flight management system 1600 is a system that makes decisions and gives instructions for aircraft operations. The flight management system 1600 prepares plans for aircraft operations, including sensing and flight, and transmits the plans to the aircraft control system 1100 that controls the aircraft via the communication infrastructure management system 1400. The flight management system 1600 may prepare plans for multiple aircraft and transmit information about the plans to the aircraft control systems 1100 that control each of the aircraft.

[0028] The airspace monitoring and control system 1700 is a system that monitors the airspace in which the target aircraft is flying. The airspace monitoring and control system 1700 acquires information on the position of the aircraft from the air traffic control system 9000, which controls the aircraft flying in the target airspace. The air traffic control system 9000 may be, for example, a drone traffic management system (UTM), an aircraft traffic management subsystem (UASSP), or an air traffic management system (ATM). That is, the airspace monitoring and control system 1700 measures or acquires information on the environment in the airspace in which the aircraft is flying, other aircraft, etc., and transmits the information to the flight management system 1600. If there is a problem with the aircraft's work plan based on the information from the airspace monitoring and control system 1700, the flight management system 1600 changes the work plan.

[0029] The facility and equipment management system 7000 manages the status of the facilities and equipment at each base where the facilities and equipment are stored, and determines the base where the facilities and equipment can be arranged based on the information on the necessary facilities and equipment notified by the above-mentioned rear support system 1500.

[0030] The reservation system 8000 makes reservations for the use of facilities and equipment based on information about the necessary facilities and equipment notified by the above-mentioned rear support system 1500, or information about locations where facilities and equipment can be arranged as determined by the facility and equipment management system.

[0031] (A-1-4. External System 4000) 4 is a functional block diagram of the external system 4000. The external system 4000 is an external system communicably connected to the spatial information data utilization system 2000 via an internet line or the like, and transmits disaster information to the spatial information data utilization system 2000. The external system 4000 includes an infrastructure disruption information providing unit 4100, a meteorological information providing unit 4200, a terrestrial video information providing unit 4300, and an SNS information providing unit 4400.

[0032] The infrastructure disruption information providing unit 4100 is a functional unit that provides infrastructure disruption information regarding infrastructure disruptions and abnormalities. For example, infrastructure disruption information includes information regarding road disruptions, train service suspensions, power outages, communication disruptions, water supply disruptions, and gas supply disruptions. Road disruption information is provided by the Japan Highway Public Corporation, map apps, disaster prevention apps, and the like. Furthermore, information on train service suspensions is provided by railway companies, power outages is provided by electric power companies, communication disruptions are provided by telecommunications companies or detected by communication speed measurements, and gas and water supply disruptions are provided by disaster prevention apps, and the like. Furthermore, infrastructure disruption information may include information on the location or area where the infrastructure disruption or abnormality occurred, information on the type of infrastructure disrupted, and information on the scale of infrastructure damage.

[0033] The weather information providing unit 4200 is a functional unit that provides information about weather, such as heavy rain. For example, weather information is provided by the Japan Meteorological Agency or a disaster prevention app. The weather information may include information about the location or area of ​​a disaster, the weather type, and the scale of weather damage. Weather types include floods, landslides, heavy rain, heavy snow, strong winds, typhoons, floods, earthquakes, tsunamis, etc.

[0034] The ground video information providing unit 4300 provides information on video or images captured by surveillance cameras, disaster prevention cameras, portable mobile cameras, etc. The ground video information may include information on the location or area where the video or image was captured.

[0035] The SNS information providing unit 4400 provides SNS information including text information, image information, and video information posted by general users to the SNS. Note that the SNS information may also include location information of the user who posted the information.

[0036] (A-1-5. Spatial Information Data Utilization System 2000) 5 is a functional block diagram of a spatial information data utilization system 2000. The spatial information data utilization system 2000 includes an aeronautical information acquisition unit 2100, a disaster-related information acquisition unit 2200, a disaster situation determination unit 2300, an information validity determination unit 2400, a common situation diagram generation unit 2500, and a communication unit 2600.

[0037] (A-1-5-1.Aviation Information Acquisition Department 2100) The aeronautical information acquisition unit 2100 includes an aeronautical sensing data acquisition unit 2110 , a geographic information acquisition unit 2120 , and a map image generation unit 2130 .

[0038] The aerial sensing data acquisition unit 2110 acquires aerial sensing data acquired by the data acquisition system 1000 via the communication unit 2600 (described later). The geographic information acquisition unit 2120 acquires geographic information in advance from an external source or from a user. Here, geographic information refers to data related to geographic information, and includes, for example, polygon geographic data, map data, and the like.

[0039] The map image generation unit 2130 generates a map image by integrating the aerial sensing data acquired by the aerial sensing data acquisition unit 2110 and the geographic information acquired by the geographic information acquisition unit 2120. Note that if the aerial sensing data is not an aerial image but spatial data such as point cloud data acquired by a laser sensor or a three-dimensional model generated by SfM (Structure from Motion), combined data of the geographic information and the point cloud data or spatial data is generated.

[0040] An example of a map image is shown here. Fig. 9 is a diagram showing an example of a map image generated by the map image generation unit 2130. The example shown in this figure shows a map image generated using an aerial image acquired by the aerial sensing data acquisition unit 2110 and basic map information acquired by the geographic information acquisition unit 2120. This figure shows an example of a map image in which an aerial image is integrated for a portion of the display area in which the basic map is displayed, but the map image may also be a map image in which an aerial image and a basic map are integrated for the entire display area.

[0041] (A-1-5-2. Disaster-related information acquisition unit 2200) The disaster-related information acquisition unit 2200 receives information from each of the external system 4000 and the crisis response on-site command system 5000. The disaster-related information acquisition unit 2200 includes an external system information acquisition unit 2210 and an on-site unit information acquisition unit 2220.

[0042] The external system information acquisition unit 2210 acquires various types of information from the infrastructure disruption information providing unit 4100, weather information providing unit 4200, ground video information providing unit 4300, and SNS information providing unit 4400 of the external system 4000 via the communication unit 2600. From the infrastructure disruption information providing unit 4100, infrastructure disruption information including at least any of information related to road disruption, train service suspension, power outage, communication disruption, water disruption, gas disruption, etc. is acquired. Also, from the ground video information providing unit 4300, information on videos or images acquired by surveillance cameras, disaster prevention cameras, portable mobile cameras, etc. installed on the ground is acquired.

[0043] Furthermore, the external disaster information acquired by the external system information acquisition unit 2210 may include information on the location or area, information indicating the details of the disaster, and information indicating the scale of the disaster.

[0044] The on-site unit information acquisition unit 2220 acquires on-site disaster information from the crisis response on-site command system 5000 via the communication unit 2600. Specifically, the on-site disaster information that each unit deployed at the disaster site has input to the on-site unit terminal device 5300 via the control device 5100. The on-site disaster information acquired by the on-site unit information acquisition unit 2220 may also include information on the location or area, information indicating the content of the disaster, and information indicating the scale of the disaster.

[0045] Here, an example of external disaster information acquired by the external system information acquisition unit 2210 and on-site disaster information acquired by the on-site unit information acquisition unit 2220 will be described. Fig. 10 shows the types of information included in each of the infrastructure disruption information, weather information, ground image information, SNS information, and on-site disaster information included in the external disaster information. The types of information include details of the damage, location / area, scale of the damage, and images / video.

[0046] In the example shown in this figure, infrastructure disruption information and weather information include information on the damage content, location / area, and scale of the damage, ground image information includes information on location / area and image / video, and SNS information and on-site disaster information include information on the damage content, location / area, and image / video. In other words, each piece of information includes at least location / area information.

[0047] The information on the scale of damage shown in this figure includes, for example, the number of victims, the number of evacuees, the number of missing persons, the number of damaged houses, the number of damaged structures, the earthquake intensity, the area of ​​the damaged area, and the amount of economic loss. Furthermore, the external disaster information acquired by the external system information acquisition unit 2210 and the on-site disaster information acquired by the on-site unit information acquisition unit 2220 may include missing person search information, evacuation center information, etc., in addition to the above-mentioned information. Furthermore, information on the information provider organization and information source may be acquired for each piece of acquired disaster information.

[0048] (A-1-5-3. Disaster Situation Judgment Unit 2300) The disaster situation determination unit 2300 has a function of interpreting the current disaster situation (including the details of the disaster, the location and area of ​​the disaster, and the scale of the disaster) and a function of predicting the future disaster situation (including the details of the disaster, the location and area of ​​the disaster, and the scale of the disaster) based on the aerial sensing data or map images obtained by the aerial information acquisition unit 2100 and the received information obtained by the external system information acquisition unit 2210. The disaster situation determination unit 2300 includes an aerial information interpretation unit 2310, a disaster-related information interpretation unit 2320, and an integrated interpretation unit 2330.

[0049] The aeronautical information interpretation unit 2310 has a function of interpreting the current disaster situation and a function of predicting the future disaster situation based on the aeronautical sensing data or map images obtained by the aeronautical information acquisition unit 2100.

[0050] The aeronautical information interpretation unit 2310, for example, performs analytical processing such as image analysis on aerial sensing data or map images to determine the nature of the disaster (including at least one of flood, inundation, mudslide, landslide, fire, tsunami, and power outage), and if the occurrence of at least one of flood, inundation, mudslide, fire, tsunami, and power outage is detected as a result of the determination, it can determine the location or area where the occurrence of the disaster was detected as the disaster location.

[0051] In addition, the aeronautical information interpretation unit 2310 can perform analytical processing such as image analysis on aerial sensing data or map images, for example, to determine the operating status of at least one of road traffic lights, street lights, and residential lighting equipment from the image, and determine that a power outage in the location or area where inoperable equipment is detected is the disaster content.

[0052] The aeronautical information interpretation unit 2310 also performs analysis processing such as image analysis on aerial sensing data or map images to detect at least one of floods, inundation, debris flow, landslides, bridge collapses, fallen trees, and vehicles stopped for a predetermined period of time or longer, and if any of these conditions is detected, determines that the road passing through the detected location is disrupted. In other words, the road is determined to be a disaster area, and the road disruption is determined to be the disaster content.

[0053] The disaster-related information interpretation unit 2320 has a function of interpreting the current disaster situation and a function of predicting the future disaster situation based on the received information obtained by the external system information acquisition unit 2210.

[0054] The disaster-related information interpretation unit 2320, for example, analyzes and processes the received information obtained by the external system information acquisition unit 2210 to determine the nature of the disaster (including at least one of flood, inundation, mudslide, landslide, fire, tsunami, power outage, and communication blackout), and if the occurrence of at least one disaster of flood, inundation, mudslide, fire, tsunami, power outage, and communication blackout is detected as a result of the determination, it can determine the location or area where the occurrence of the disaster was detected as the disaster location.

[0055] In addition, the disaster-related information interpretation unit 2320 can, for example, analyze and process the received information obtained by the external system information acquisition unit 2210 (especially camera images obtained from the ground video information provision unit 4300) to determine the operating status of at least one of road traffic lights, street lights, and domestic lighting equipment from the image, and determine that the disaster content is a power outage in the location or area where non-operating equipment is detected.

[0056] The disaster-related information interpretation unit 2320 may also analyze and process received information obtained by the external system information acquisition unit 2210 to detect at least one of flood, inundation, mudslide, landslide, bridge collapse, fallen tree, and vehicle stopped for a predetermined period of time or longer. If any of these conditions is detected, the disaster-related information interpretation unit 2320 determines that a road passing through the detected location is disrupted. In other words, the road is determined to be a disaster area, and the road disruption is determined to be the disaster content. The disaster-related information interpretation unit 2320 may also analyze and process information on radio wave strength for wireless communication using an LTE line of an aircraft obtained by the external system information acquisition unit 2210 to estimate areas where LTE communication is disrupted on the ground.

[0057] The integrated interpretation unit 2330 has the function of interpreting the current disaster situation and predicting future disaster situations based on input information from both the aerial sensing data or map images obtained by the aerial information acquisition unit 2100 and the received information obtained by the external system information acquisition unit 2210.

[0058] (A-1-5-4. Information validity determination unit 2400) The information validity determination unit 2400 includes a validity determination unit 2410 , a validity input receiving unit 2420 , and a validity confirmation display unit 2430 .

[0059] The validity determination unit 2410 is a functional unit that determines the validity of each piece of information acquired by the spatial information data utilization system 2000 and the current damage situation interpreted based on this information or the predicted future damage situation. The validity determination unit 2410 displays the determination result on a validity confirmation display unit 2430, which will be described later.

[0060] The validity determination unit 2410 determines the validity of information for each of the following, for example: aerial sensing data acquired by the aerial sensing data acquisition unit 2110, the determination results determined by the aerial information interpretation unit 2310 based on the aerial sensing data, information from external systems acquired by the external system information acquisition unit 2210, on-site disaster information acquired by the on-site unit information acquisition unit 2220, the determination results determined by the disaster-related information interpretation unit 2320, and the determination results determined by the integrated interpretation unit 2330.

[0061] The following describes an example of a method for determining validity by the validity determination unit 2410. For example, when the aerial information interpretation unit 2310 determines the disaster location and the disaster content based on aerial sensing data, and when information on the disaster location and the disaster content is included in information acquired by the disaster-related information acquisition unit 2200 from the external system 4000 or the on-site unit terminal, the validity determination unit 2410 compares the disaster content corresponding to disaster locations that are the same location or in a nearby location relationship within a predetermined distance, determines whether the information acquired by the disaster-related information acquisition unit 2200 is correct or not based on the comparison result, and displays the determination result on the validity confirmation display unit 2430, which will be described later.

[0062] The above-described validity determination method determines the validity of information acquired by the disaster-related information acquisition unit 2200, assuming that the disaster situation determination result based on aerial sensing data is correct. This determination method is particularly useful when determining the validity of information such as SNS information received from an external system that has low credibility.

[0063] Next, we will explain another example of a method for determining validity by the validity determination unit 2410. For example, when the aeronautical information interpretation unit 2310 determines the disaster location and the disaster content based on aeronautical sensing data, and the information acquired by the disaster-related information acquisition unit 2200 includes information on the disaster location and the disaster content, or the disaster-related information interpretation unit 2320 determines the disaster location and the disaster content based on the information acquired by the disaster-related information acquisition unit 2200, the validity determination unit 2410 compares the disaster content corresponding to disaster locations that are the same location or are in a nearby positional relationship within a predetermined distance, and determines whether the determination result by the aeronautical information interpretation unit 2310, the information acquired by the disaster-related information acquisition unit 2200, or the determination result by the disaster-related information interpretation unit 2320 is correct or not, depending on the comparison result, and displays and outputs the determination result to the validity confirmation display unit 2430, which will be described later.

[0064] The above-mentioned method of determining validity is useful when it is not possible to determine which information is correct: the determination result by the aeronautical information interpretation unit 2310, the information acquired by the disaster-related information acquisition unit 2200, or the determination result by the disaster-related information interpretation unit 2320. For example, it is possible to determine whether the information is incorrect based on a majority vote of these multiple pieces of information or the credibility assigned to each piece of information.

[0065] Next, we will explain another example of a method for determining the validity of a future prediction result by the validity determination unit 2410. For example, when the aeronautical information interpretation unit 2310 predicts a predicted future disaster location and disaster prediction content based on aeronautical sensing data and the disaster-related information interpretation unit 2320 predicts a predicted future disaster location and disaster prediction content based on information acquired by the disaster-related information acquisition unit 2200, the validity determination unit 2410 compares the disaster prediction content corresponding to predicted disaster locations that are the same location or nearby within a predetermined distance, and determines whether either the future prediction result by the aeronautical information interpretation unit 2310 or the future prediction result by the disaster-related information interpretation unit 2320 is correct or not, depending on the comparison result, and displays the determination result on the validity confirmation display unit 2430, which will be described later.

[0066] The validity input receiving unit 2420 is a functional unit that receives input from the user, the person in charge of generating the common situation diagram, of the validity of each piece of information acquired by the spatial information data utilization system 2000 and the current damage situation or the predicted future damage situation interpreted based on this information. The validity input receiving unit 2420 can be configured with a touch panel, a keyboard, a mouse, or a voice input device such as a microphone.

[0067] Specifically, the validity input receiving unit 2420 receives input from the user regarding the validity of the aerial sensing data or map images acquired by the aerial information acquisition unit 2100, or information from external systems acquired by the disaster-related information acquisition unit 2200 or on-site disaster information from on-site units, or the current disaster situation and future disaster situation determined by the aerial information interpretation unit 2310, the disaster-related information interpretation unit 2320, and the integrated interpretation unit 2330.

[0068] The validity confirmation display unit 2430 is a functional unit that displays information including the above-mentioned information to the user so that the user can judge the validity of each piece of information.

[0069] Specifically, the validity confirmation display unit 2430 displays at least any of the aerial sensing data acquired by the aerial sensing data acquisition unit 2110, the determination result (including the current disaster situation or the predicted future disaster situation) determined by the aerial information interpretation unit 2310 based on the aerial sensing data, information from an external system acquired by the external system information acquisition unit 2210, on-site disaster information acquired by the on-site unit information acquisition unit 2220, the determination result (including the current disaster situation or the predicted future disaster situation) determined by the disaster-related information interpretation unit 2320, the determination result determined by the integrated interpretation unit 2330, and the validity determination result by the validity determination unit 2410. Note that this information can be displayed on a map of an area including at least a part of the disaster area.

[0070] Furthermore, the validity confirmation display unit 2430 displays information including at least one of the aerial sensing data acquired by the aerial sensing data acquisition unit 2110, the determination results (including the current disaster situation or the predicted future disaster situation) determined by the aerial information interpretation unit 2310 based on the aerial sensing data, and information including at least one of information from an external system acquired by the external system information acquisition unit 2210, on-site disaster information acquired by the on-site unit information acquisition unit 2220, and the determination results (including the current disaster situation or the predicted future disaster situation) determined by the disaster-related information interpretation unit 2320. Note that this information can be displayed on a map of an area including at least a part of the disaster area.

[0071] In this way, by displaying both aerial sensing data or disaster situation assessment information based on this data, and information acquired by the disaster-related information acquisition unit 2200 or disaster situation assessment information based on this data on a map, the user can more easily determine the validity of the information.

[0072] (A-1-5-5. Common situation diagram generation unit 2500) The common situation map generation unit 2500 is a functional unit that generates integrated information by integrating at least one of the aerial sensing data acquired by the aerial sensing data acquisition unit 2110, the map image generated by the map image generation unit 2130, and information on the current or future disaster situation determined by the aerial information interpretation unit 2310, and at least one of the information acquired by the disaster-related information acquisition unit 2200 and information on the current or future disaster situation determined by the disaster-related information interpretation unit 2320. The integrated information may also be information including the determination result by the integrated interpretation unit 2330.

[0073] The common situation map generating unit 2500 may generate a common situation map by integrating the above-mentioned integrated information onto a map of an area including at least a part of the disaster area. When integrating disaster situations onto a map to generate a common situation map, the disaster situations are integrated and displayed on the map based on the location information included in the information on each disaster situation.

[0074] In addition, when the common situation diagram generation unit 2500 generates a common situation diagram by integrating disaster situations on a map, the common situation diagram may be a common situation diagram that displays information on each disaster situation in association with each disaster content based on information on the disaster content included in the information on each disaster situation.

[0075] (A-1-5-6. Communications Department 2600) The communication unit 2600 is communicatively connected to the data acquisition system 1000, receives aerial sensing data from the data acquisition system 1000, and provides the aerial sensing data to the aerial sensing data acquisition unit 2110. The communication unit 2600 is also communicatively connected to the external system 4000, receives external disaster information from the external system 4000, and provides the external system information acquisition unit 2210. The communication unit 2600 is also communicatively connected to the commanding device 5100, receives on-site disaster information from the commanding device 5100, and provides the on-site unit information acquisition unit 2220.

[0076] Furthermore, the communication unit 2600 is communicably connected to the information distribution system 3000 and transmits the common situation diagram generated by the common situation diagram generation unit 2500 to the information distribution system 3000.

[0077] Here, when new information is acquired in the above-mentioned aeronautical information acquisition unit 2100 or disaster-related information acquisition unit 2200, the disaster situation determination unit 2300, the information validity determination unit 2400, and the common situation diagram generation unit 2500 each have an update function to determine the disaster situation, judge the validity of the information, and update the common situation diagram, and transmit the updated common situation diagram to the information distribution system 3000.

[0078] Specifically, when new aerial sensing data is acquired by the aerial sensing data acquisition unit 2110 of the aerial information acquisition unit 2100, the integrated information is updated using the new aerial sensing data or information on the disaster situation determined by the aerial information interpretation unit 2310 based on the new aerial sensing data, and the updated common situation map is transmitted to the information distribution system 3000.

[0079] Similarly, when new information is received by the external system information acquisition unit 2210 or the field unit information acquisition unit 2220, the integrated information is updated using the new received information or information on the disaster situation determined by the disaster-related information interpretation unit 2320 based on the new received information, and the updated common situation diagram is transmitted to the information distribution system 3000.

[0080] (A-1-6. Information distribution system 3000) 6 is a functional block diagram of the information distribution system 3000. The information distribution system 3000 includes a common situation diagram acquisition unit 3100, an integrated information distribution unit 3200, an integrated information update notification unit 3300, and a communication unit 3400.

[0081] The common situation diagram acquisition unit 3100 is a functional unit that acquires information on the common situation diagram from the spatial information data utilization system 2000 via the communication unit 3400. The integrated information distribution unit 3200 is a functional unit that distributes the common situation diagram to the command device 5100 and multiple field unit terminal devices 5300 via the communication unit 3400.

[0082] The integrated information update notification unit 3300 notifies the control device 5100 and multiple field unit terminal devices 5300 of information indicating that the common situation map (integrated information) has been updated by the common situation map acquisition unit 3100, or information on the updated common situation map when it acquires this information from the spatial information data utilization system 2000.

[0083] The communication unit 3400 is communicatively connected to the spatial information data utilization system 2000, the coordinating device 5100, and multiple field unit terminal devices 5300, and receives a common situation diagram from the spatial information data utilization system 2000 and transmits the common situation diagram to the coordinating device 5100 and multiple field unit terminal devices 5300.

[0084] (A-1-7. Hardware configuration) 7 is a hardware configuration diagram of a spatial information data utilization system 2000, etc. Here, the data acquisition system 1000, spatial information data utilization system 2000, information distribution system 3000, control device 5100, field unit terminal device 5300, and external system 4000 constituting the linkage system 1 of the present invention are information processing devices such as a server device or a PC. As shown in the figure, the data acquisition system 1000, spatial information data utilization system 2000, information distribution system 3000, control device 5100, field unit terminal device 5300, and external system 4000 each include an input device 100, an output device 200, a processing device 300, a main memory device 400, an auxiliary memory device 500, a communication device 600, and a bus 700 that electrically connects these devices.

[0085] The input device 100 is a device that allows a user to input information and instructions to the linkage system 1. Specifically, the input device 100 is, for example, a touch panel, a keyboard, a mouse, or an audio input device such as a microphone.

[0086] The output device 200 is a device that outputs information generated by the linked system 1. Specifically, the output device 200 is a display device (including eyewear, AR, VR display devices, etc.), a printer, or a speaker.

[0087] The processing device 300 is, for example, a device that performs arithmetic processing. Specifically, the processing device 300 is, for example, a CPU, a microprocessor, a GPU (Graphics Processing Unit), an FPGA (Field Programmable Gate Array), or other semiconductor devices capable of performing arithmetic processing.

[0088] The main storage device 400 is a memory device such as a RAM that temporarily stores various types of read information and a ROM that stores programs, application programs, and other various information executed by the processing device 300. The auxiliary storage device 500 is a non-volatile storage device such as an HDD (Hard Disk Drive), SSD (Solid State Drive), or flash memory that can store digital information.

[0089] The communication device 600 is a device that performs wireless or wired information communication with an external device.

[0090] (A-1-7. Flowchart of the collaboration system) Next, a description will be given of the overall control flow of the linkage system 1. FIG.

[0091] First, the linkage system 1 acquires aerial sensing data and combines the aerial sensing data with geographic information to generate a map image (step 101). Specifically, the data acquisition system 1000 acquires the aerial sensing data, and the aerial information acquisition unit 2100 combines the aerial sensing data with the geographic information to generate a map image.

[0092] Next, the collaboration system 1 acquires disaster information from the external system 4000 and the control device 5100 of the crisis management headquarters (step 102). Specifically, the disaster-related information acquisition unit 2200 acquires disaster information from the external system 4000, and also acquires disaster information on the disaster site entered by each unit member deployed to the disaster site via the control device 5100 of the crisis management headquarters.

[0093] Next, the disaster situation determination unit 2300 determines the current disaster situation (step 103). Specifically, the aerial information interpretation unit 2310 determines the current disaster situation based on the aerial sensing data, and the disaster-related information interpretation unit 2320 determines the current disaster situation based on disaster information acquired from an external system or disaster site units. Alternatively, the integrated interpretation unit 2330 may determine the current disaster situation based on both the aerial sensing data and the disaster information acquired from the external system or disaster site units.

[0094] Next, the disaster situation determination unit 2300 predicts the current disaster situation in the future (step 104). Specifically, the aerial information interpretation unit 2310 predicts the future disaster situation based on the aerial sensing data, and the disaster-related information interpretation unit 2320 predicts the future disaster situation based on disaster information acquired from an external system or disaster site units. Alternatively, the integrated interpretation unit 2330 may predict the future disaster situation based on both the aerial sensing data and disaster information acquired from an external system or disaster site units.

[0095] Here, in steps 103 and 104, both aerial sensing data obtained by sensing the disaster site from the air and disaster information collected from other sources such as the ground are used to determine and predict the current and future disaster situation, making it possible to grasp disaster situations that cannot be grasped from sensing data from the air or from information collected from the ground.

[0096] Next, the information validity determining unit 2400 determines the validity of the disaster information acquired from the external system 4000, the command device 5100, etc., and the current or future disaster situation determined or predicted in steps 103 and 104 (step 105).

[0097] Next, the disaster information acquired from the external system 4000, the control device 5100, etc., and the current or future disaster situation determined or predicted in steps 103 and 104 are integrated to generate integrated information (step 106). For example, as the integrated information, a common situation diagram is generated by integrating each piece of information on a map based on the location information.

[0098] Next, the integrated information is distributed by the information distribution system 3000 (step 107). For example, the integrated information is transmitted from the information distribution system 3000 to the field unit terminal devices 5300, the control device 5100, or other devices used by each field unit in the crisis response field command system.

[0099] Next, when the integrated information is updated, the information distribution system 3000 notifies the updated information (step 108). For example, the updated information is notified to the field unit terminal device 5300, the command device 5100, or other devices.

[0100] (A-1-8. Current Disaster Situation Determination Flow) Next, a description will be given of the determination flow when determining the current disaster situation executed by the disaster situation determination unit 2300. Fig. 11 is a flowchart showing the control flow when the disaster situation determination unit 2300 determines the current disaster situation.

[0101] First, the aeronautical information interpretation unit 2310 determines the disaster situation of the photographed disaster area based on the map image generated by the aeronautical information acquisition unit 2100 (step 201).

[0102] Next, the disaster-related information interpretation unit 2320 judges the disaster situation in the disaster area based on external disaster information acquired from an external system (step 202).

[0103] Next, the disaster-related information interpretation unit 2320 judges the disaster situation at the disaster site based on the on-site disaster information acquired from the control device 5100 of the crisis management headquarters (step 203).

[0104] Next, the integrated interpretation unit 2330 performs an integrated judgment by integrating the judgment results determined by the disaster-related information interpretation unit 2320 in steps 202 and 203 with the judgment result determined by the aeronautical information interpretation unit 2310 in step 201 (step 204).

[0105] Although this flowchart illustrates a determination flow for determining the current disaster situation, a similar processing flow can also be used for predicting future disaster situations.

[0106] (A-1-9. Determining the damage situation when flood damage occurs) First, the details of a determination method for determining the disaster situation by the disaster situation determination unit 2300 when flood damage occurs will be described with reference to FIGS.

[0107] (A-1-9-1. Disaster situation assessment based on map images) First, the determination of the disaster situation based on a map image will be explained. Fig. 12 is a diagram showing the results of the disaster situation determination based on a map image by the aeronautical information interpretation unit 2310. In this figure, in a situation where a river levee near the center has collapsed and flood damage has occurred in the surrounding area, the results of the flood damage determination based on the map image are shown on the map image.

[0108] The aerial information interpretation unit 2310 determines the type of damage, the affected area, and the scale of the damage in the process of outputting the determination result shown in this figure. First, the damage content is estimated by image processing aerial images using artificial intelligence (AI) or rule-based processing. In the example shown in this figure, image processing of map images determines that the color (brown) of water flowing in the river area has spread to the land area, and determines that a flood has occurred. In addition, the ground color of the land under normal circumstances when no flood has occurred can be recorded, and a large difference from this normal ground color can be used as a condition for determining that a flood has occurred. Furthermore, areas where water is leaking from the river area into the land area can be determined to be levee breach locations.

[0109] As with the determination of the damage level described above, a flooded area can be determined by the land area where the color (brown) of the water flowing in the river area is widespread. Alternatively, the color of the land surface during normal times when no flooding has occurred can be recorded, and areas that differ greatly from this normal color can be determined to be flooded areas. In this diagram, the areas surrounded by solid lines are areas determined to be flooded, and are covered with three different shades of color depending on the likelihood of flooding. The areas covered with the darkest color are areas determined to have the highest probability of flooding, while areas covered with lighter colors are areas determined to have a low probability of flooding. Furthermore, areas that are not covered with anything are areas determined to have no flooding.

[0110] The scale of the damage (number of victims, number of affected dwellings, number of deaths, amount of economic loss, time required for recovery and reconstruction, etc.) can be estimated by taking into account the damage determined as described above and administrative management information such as the number of dwellings, number of residents, and number of commercial facilities in the affected area.

[0111] (A-1-9-2. Disaster situation assessment based on ground camera images) Next, we will explain how to determine the disaster situation based on ground camera images. Figure 13 is a diagram showing the results of the disaster situation determination based on ground cameras by the disaster-related information interpretation unit 2320. This figure shows, on a map image, the results of flood damage determination determined based on images taken by ground cameras (fixed cameras) installed at two locations in the land area on the left side of the river and one location in the land area on the right side of the river. In the example shown in this figure, ground cameras are installed at three locations, but the accuracy of disaster situation determination using ground cameras will improve if the number of ground cameras is increased.

[0112] When the disaster-related information interpretation unit 2320 assesses the disaster situation based on images acquired by ground cameras, it also determines the damage content, affected area, and scale of the damage before outputting the assessment results. First, it uses artificial intelligence (AI) and rule-based processing to process the ground camera image information (images acquired by surveillance cameras, mobile cameras, etc.) to estimate the damage content. In the example shown in this figure, for example, images of houses and cars during normal times when no flooding has occurred are recorded, and if the undersides of the houses and cars are submerged and obscured, it can determine that a flood has occurred. In addition, when assessing the damage content, it is possible to determine the flood area and its accuracy by taking into account past statistical information (flooded areas from past floods are determined to be highly likely to flood) and topographical information (low-altitude areas are determined to be highly likely to flood). In the example shown in this figure, the assessment result at the position of fixed camera A is "flooding," while the assessments at the positions of other fixed cameras B and C are "no abnormalities."

[0113] If the result of the damage assessment is that a flood has occurred, the location where the image used to make the assessment was acquired or the area captured in the image can be determined as the flood area. Additionally, the disaster area can also be estimated using past statistical information, topographical information, etc.

[0114] In the example shown in this figure, the water level is estimated from images taken by a ground camera (for example, the water level is estimated from the shape of a car that can be recognized by the camera), and the scale of damage, such as the number of homes flooded above floor level, can be estimated based on the estimated water level information and information on the affected area.The scale of damage can be estimated, for example, in terms of the number of victims, the number of affected homes, the number of deaths, the amount of economic loss, and the time required for recovery and reconstruction.

[0115] (A-1-9-3. Disaster situation assessment based on social media information) Next, the determination of the disaster situation based on SNS information will be explained. Fig. 14 is a diagram showing the results of the determination of the disaster situation based on SNS information by the disaster-related information interpretation unit 2320. In the example shown in this figure, the details of the damage, the affected area, and the scale of the damage are determined based on the camera images and text information posted on the SNS.

[0116] First, the damage details are determined based on camera images and text information posted on social media, using AI or rule-based analysis of the images and text information. In the example shown in the figure, flooding can be detected from the images, and flood damage can be detected from the keyword "submerged" included in the text.

[0117] Next, for the affected area, if the information in the SNS post contains location information, the affected location is estimated based on that location information. In the example shown in this figure, the text information contains information indicating the location of "XX town," so the affected location can be determined from that text information.

[0118] Next, to assess the scale of damage, similar to the assessment of damage content described above, the system uses AI or rule-based analysis of camera images posted to social media to estimate the water level (for example, estimating the water level from the shape of a car that can be recognized by the camera).The scale of damage (such as the number of houses flooded above floor level) is estimated based on the estimated water level and information on the location of the damage.

[0119] (A-1-9-4. Determining the disaster situation based on information obtained from on-site units) Next, the determination of the disaster situation based on the information acquired from the on-site unit will be explained. Fig. 15 is a diagram showing the result of the determination of the disaster situation based on the on-site unit information by the disaster-related information interpretation unit 2320. In the example shown in this figure, the damage content, the affected area, and the damage scale are determined based on the disaster information acquired from the on-site unit.

[0120] First, the details of the damage are included in the information obtained from the on-site units, so that information can be used as is. Furthermore, the location of the damage can be estimated based on the unit location information included in the on-site unit information. In the example shown in this figure, if information on the damage, such as "flooded" or "no abnormalities," is obtained from each of rescue teams A to D working at each location on the site, the location of the rescue team that obtained the "flooded" information is determined to be the location of the damage.

[0121] Next, regarding the scale of the damage, if water level information is obtained from each rescue team, the scale of the damage (such as the number of homes flooded above floor level) can be estimated based on that water level information and information on the location of the damage. Here, if information such as the number of homes and residents for each area is available, the accuracy of the estimate of the scale of the damage can be improved.

[0122] (A-1-9-5. Integrated assessment of disaster situations based on map images and other information) Next, a method for integrating and determining a disaster situation based on a map image and other information will be described. Fig. 16 is a diagram showing an example in which the disaster situation determination result based on a map image and the disaster situation based on other acquired information are integrated and displayed. In the example shown in this figure, the disaster situation determination result based on the map image shown in Fig. 12 and the disaster situation determination result based on other information shown in Figs. 13 and 15 are displayed on the same map.

[0123] As shown in the figure, the disaster situation assessment results based on the map image and the disaster situation assessment results based on other information are inconsistent at the positions of fixed camera B and rescue team C. On the other hand, at other positions, the disaster situation assessment results based on the map image and the disaster situation assessment results based on other information are consistent.

[0124] As shown in Figure 16, it is necessary to determine the disaster presence / absence judgment results at the positions of fixed camera B and rescue team C, where the judgment results are contradictory. Using Figures 17 and 18, we will explain how to determine the disaster presence / absence judgment results at positions where the judgment results are contradictory, based on the reliability of the judgment results based on each piece of information.

[0125] Figure 17 is a table showing the reliability of each assessment result for the disaster location, location / area, and damage scale included in the assessed damage situation. The table shows the reliability level for each assessment result based on map images, on-site unit information, and external system information, in three levels: "◎" for high reliability, "〇" for medium reliability, and "△" for low reliability.

[0126] In the example shown in Figure 17, the damage content and location / area determination results based on ground image information and on-site unit information are treated as the most reliable, with a "◎" and the determination results based on SNS information are treated as the least reliable, with a "△". Therefore, in cases where determination results are contradictory for the same location, the determination result shown in Figure 17, which has the higher reliability, can be used to determine the determination result as the true information.

[0127] Social media information has lower reliability than other disaster information. In other words, the accuracy of the information determining the damage content and affected area is low, so a small number of pieces of SNS information cannot be used to determine the authenticity of the information. On the other hand, if a certain number of pieces of SNS information containing the same disaster information are posted, the information can be treated as being relatively reliable, and the authenticity of the information can be determined.

[0128] Figure 18 shows an example of an integrated assessment of the damage situation by the integrated interpretation unit, taking into account the reliability of the assessment results based on each piece of information. The land area on the right side of the river was assessed as an area with a possibility of flooding based on the map image, but was assessed as "no abnormalities" based on the assessment results by fixed camera C and rescue team D. Furthermore, the reliability of the assessment results by fixed camera C and rescue team D is higher than the reliability of the assessment results by the map image, so the integrated assessment result for that area is "no abnormalities."

[0129] In addition, in the land area on the left side of the river, in areas that were determined to be areas where flooding is possible based on map images, but were determined to be ``no abnormalities'' based on the determination by fixed camera B and rescue team C, the results of the determination by fixed camera B and rescue team C were treated as true information, taking into account the reliability of the determination results, and the integrated determination result was determined to be ``no abnormalities.''

[0130] On the other hand, in the land area on the left side of the river, if an area is determined to be a potential flood area based on the map image, and the determination results from fixed camera A, rescue team A, and rescue team B are "flooded," then the results of both determinations are consistent, and the consistent result of "flooded" is used as the integrated determination result.

[0131] In this way, by combining the results of assessment based on map images with those based on disaster information other than aerial images, it is possible to perform an integrated assessment for each area based on the results of assessment based on local unit information and fixed camera information, which have high reliability, for areas where the accuracy of assessment was low using map images alone. In other words, situations that could not be accurately interpreted from aerial images can be supplemented with other information, further improving the accuracy of the interpretation results from aerial images. Meanwhile, while it is difficult to interpret the disaster area over a wide area using only local disaster information other than aerial images, by combining the results of interpretation from aerial images, it is possible to accurately interpret the disaster area.

[0132] (A-1-9-6. Prediction of future disaster situations) Next, a method for predicting a future damage situation based on the determination result of the current damage situation will be described. Fig. 19 is a diagram showing an example of a prediction result when the disaster situation determination unit 2300 predicts a future damage situation.

[0133] The disaster situation determination unit 2300 has the function of determining the current disaster situation as shown in FIG. 19 and predicting future changes in the disaster situation as shown in FIG. 19. The example shown in this figure shows the current flooded area (area surrounded by a solid line) and the area predicted to be flooded in the future after a predetermined time has passed (area surrounded by a dotted line). For example, based on meteorological information (such as river water levels and rainfall conditions in the upstream area of ​​the river, or rainfall forecasts) obtained from an external system, the disaster situation determination unit 2300 can predict that the current flooded area will expand if the river water level is expected to rise or if the river water level is not expected to decrease. Furthermore, based on elevation information of areas surrounding the flooded area included in pre-recorded geographic information, the disaster situation determination unit 2300 can predict the extent of the flooded area, taking into account the possibility of flooding expanding to areas with lower elevations.

[0134] Furthermore, the determination of the current disaster situation and the prediction of a future disaster situation by the disaster situation determination unit 2300 as described above are not limited to floods and inundation disasters exemplified in this embodiment, but can also be applied to other disasters such as landslides, heavy rain, heavy snow, strong winds, typhoons, floods, earthquakes, tsunamis, etc. For example, when an earthquake occurs and the disaster situation determination unit 2300 detects a collapse of a house as the determination result of the current disaster situation, the disaster situation determination unit 2300 can predict, as a future disaster situation, that a fire will break out around the position of the collapsed house and that the fire area will expand to a location where buildings are densely packed.

[0135] (A-1-9-7. Determining the validity of information) Next, a method will be described in which the information validity determination unit 2400 determines the validity of each piece of information acquired by the aeronautical information acquisition unit 2100 and the disaster-related information acquisition unit 2200, and the current and future disaster situations determined by the disaster situation determination unit 2300. Fig. 20 is a diagram illustrating an example of a method in which the information validity determination unit 2400 determines the validity of each piece of acquired information and each determination result.

[0136] The example shown in FIG. 20 illustrates a method for determining the validity of the determination result of information posted on SNS. The SNS post shown in this figure includes images of flooded cars and houses, and text information such as "A car is submerged in XX town." Based on the SNS information, the disaster-related information interpretation unit 2320 determines that the damage is "flooded" and the location of the damage is "XX town." The information validity determination unit 2400 compares the determination result with the determination results of other disaster information and disaster situations, and determines the validity of the determination result based on the SNS information.

[0137] The disaster situation determined based on the SNS post information (flooding has occurred in XX town) falls outside the flooded area determined based on the map image, resulting in a contradiction in the determination results. Furthermore, considering the credibility of each determination result shown in Figure 17, the determination result based on the SNS post information is less credible than the determination result based on the map image, so it can be determined that the determination result based on the map image (no flooding in XX town) is correct and that the disaster situation determined based on the SNS post information (flooding has occurred in XX town) is invalid. However, because the details of the flooding disaster based on the image included in the SNS post information are considered to be highly credible, it can be determined that the location of the flooding is likely not in XX town but in a different location.

[0138] In addition, the information on each acquired information and each judgment result as shown in Figure 20 may be displayed in the validity confirmation display unit 2430, and the results of the user's judgment on the validity of each information may be accepted by the validity input accepting unit 2420.

[0139] (A-1-9-8. Display of common situation diagram) Next, a description will be given of an example of the display of a common situation diagram that is distributed from the information distribution system 3000 and displayed on a plurality of field unit terminal devices 5300, the command device 5100, and other terminal devices. Fig. 21 is a diagram showing an example of a display screen for the common situation diagram.

[0140] The common situation map shown in this figure displays the current disaster situation (area surrounded by solid lines) and future disaster situation forecasts (area surrounded by dotted lines) determined based on aerial sensing data. It also displays externally acquired fixed camera location information and disaster assessment results, as well as location information and disaster assessment results obtained from on-site units such as rescue teams. By displaying this common situation map, users can understand the disaster area (flooded area in this figure) determined by the system and the future disaster-predicted area, and can also confirm the primary information (aerial sensing data, fixed camera images, and on-site unit information) that was the basis for the assessment. In addition to the information shown in Figure 21, the common situation map may also include missing person search information, evacuation shelter information, and other information. For each piece of disaster information displayed, information about the information provider and information source may also be displayed.

[0141] (A-1-9-9. Update of the common situation diagram) Next, a method for updating the common situation diagram when new primary information (airborne sensing data, fixed camera images, field unit information, etc.) is acquired will be described. Fig. 22 is a diagram showing an example of a display screen of the common situation diagram updated by the common situation diagram generation unit 2500 when new information is received.

[0142] In the example shown in this figure, the assessment results from fixed camera A and the on-site unit information of rescue team B have been updated since the common situation map of Figure 21 was generated, and the disaster status at both locations has changed from "flooded" to "no abnormalities." Therefore, the current flooded area assessed by the disaster situation assessment unit 2300 has been updated to include areas that do not include the locations of fixed camera A and rescue team B. Also, taking into account the tendency for flooded areas to shrink, the future predicted flooded area is predicted to be smaller than the current area. Furthermore, information that has changed from the previous common situation map (the assessment results from fixed camera A and the on-site unit information of rescue team B) may be highlighted (underlined, bold, etc.).

[0143] (A-1-10. Determining the damage situation when other disasters occur (power outages)) Next, as an example of determining the damage situation when a disaster other than a flood occurs, a method of determining the power outage state when a power outage occurs due to an earthquake, lightning strike, etc. will be described using Figures 23 and 24.

[0144] FIG. 23 shows a power outage area determined by the aerial information interpretation unit 2310. This figure illustrates an example in which the aerial information interpretation unit 2310 determines areas where houses, traffic lights, street lights, etc. are illuminated and areas where no luminous objects are present, based on aerial images acquired during dark hours at night. Furthermore, by comparing the areas where houses, traffic lights, or street lights are present with pre-recorded geographic information, it is possible to determine areas where luminous objects are detected and areas where no luminous objects are detected within the areas where houses, traffic lights, or street lights are present, and to determine areas where no luminous objects are detected as power outage areas. Furthermore, instead of or in addition to geographic information, it is also possible to determine areas where houses, traffic lights, or street lights are present based on aerial images acquired during normal times before the power outage.

[0145] Next, Fig. 24 is a diagram showing the power outage area determined by the integrated interpretation unit 2330. In particular, the power outage area determined by taking into consideration the determination result of the fixed camera image by the disaster-related information interpretation unit 2320 in addition to the determination result by the aeronautical information interpretation unit 2310 is shown.

[0146] When determining areas without power, based on aerial images such as those shown in Figure 23, it can be difficult to distinguish between houses, traffic lights, or streetlights and automobile headlights that emit light unrelated to the power outage, making it impossible to accurately identify areas without power. Therefore, as shown in Figure 24, by determining the illumination status of automobile headlights, houses, traffic lights, or streetlights based on images from a fixed ground camera in addition to aerial images, it is possible to more accurately determine areas without power.

[0147] (A-1-11. Determining the damage situation when other disasters occur (road disruptions)) Next, as an example of determining the damage situation when a disaster other than a flood occurs, a method of determining whether a road is blocked when a landslide or bridge collapse occurs will be described using Figs. 25 and 26.

[0148] 25 is a diagram showing a disaster situation determined by the aeronautical information interpretation unit 2310 and the disaster-related information interpretation unit 2320. In the example shown in this figure, the aeronautical information interpretation unit 2310 detects a landslide at the top of the drawing based on aerial images. Furthermore, the disaster-related information interpretation unit 2320 detects a bridge collapse at the bottom of the drawing based on fixed camera images.

[0149] 26 is a diagram showing isolated areas determined by the integrated interpretation unit 2330. The integrated interpretation unit 2330 can determine isolated areas where roads are blocked based on the landslide and bridge collapse determination information determined by the aeronautical information interpretation unit 2310 and the disaster-related information interpretation unit 2320, and the road information included in the geographic information. Furthermore, based on the housing information included in the geographic information, the integrated interpretation unit 2330 can determine areas including houses connected to blocked roads as isolated areas.

[0150] In the above-described embodiments, the spatial information data utilization system 2000 and the information distribution system 3000 are implemented as separate systems. However, all or part of the functions of the spatial information data utilization system 2000 and the information distribution system 3000 can be implemented in a common system. Furthermore, although the spatial information data utilization system 2000 is described as having multiple functional units, these functional units may be integrated. For example, the aeronautical information interpretation unit 2310 may be implemented in the aeronautical information acquisition unit 2100, and the disaster-related information interpretation unit 2320 may be implemented in the disaster-related information acquisition unit 2200. Alternatively, the disaster situation determination unit 2300 and the information validity determination unit 2400 may be integrated.

[0151] The above-described embodiments are merely examples for facilitating understanding of the present invention, and are not intended to limit the present invention. The present invention can be modified and improved without departing from the spirit thereof, and it goes without saying that the present invention includes equivalents thereof.

[0152] [A-2. Effects of this embodiment] The above-described embodiment enables the situation in a target area to be grasped more quickly or more accurately. Specifically, by combining the situation in a target area grasped using aerial sensing data acquired from the sky with various information other than aerial sensing data, it becomes possible to grasp the situation that would be difficult to grasp from one piece of information alone. [Explanation of symbols]

[0153] 1... Collaboration system (system) 100...input device 200...output device 300...Processing device 400...Main storage device 500...Auxiliary storage device 600...Communication device 700...bus 1000...Data Acquisition System 1100...Aircraft control system 1200...Aircraft operation system 1300...Acquisition data management system 1400...Communication Infrastructure Management System 1500...Logistics support system 1600...Flight management system 1700...Airspace Surveillance and Control System 2000: Spatial information data utilization system 2100...Aeronautical information acquisition unit 2110...Aeronautical sensing data acquisition unit 2120: Geographic information acquisition unit 2130: Map image generation unit 2200…Disaster-related Information Acquisition Department 2210...External system information acquisition unit 2220...Field unit information acquisition unit 2300…Disaster Situation Assessment Department 2310…Aeronautical Information Interpretation Department 2320: Disaster-related Information Interpretation Division 2330: Integrated Interpretation Division 2400...Information validity determination unit 2410...Validity determination unit 2420: Validity input receiving unit 2430: Validity confirmation display unit 2500...Common situation diagram generation unit 2600…Communications Department 3000...Information Integration System 3100: Common situation diagram acquisition unit 3200: Integrated information distribution unit 3300...Integrated information update notification unit 3400...Communication unit 4000...External system 4100: Infrastructure Disruption Information Department 4200: Weather Information Department 4300…Ground image information provision department 4400…SNS information provision department 5000...Crisis response on-site command system 6000...Disaster DX System 7000...Facility and equipment management system 8000...Reservation system 9000...Air traffic control system

Claims

1. a first information acquisition unit that acquires first disaster information including at least one of sensing data obtained by sensing a target area using an aircraft or determination information determined by a disaster situation determination unit based on the sensing data; a second information acquisition unit that acquires second disaster information including at least one of received information received from an on-site terminal device used by an on-site unit in the target area or an external system, and determination information determined by the disaster situation determination unit based on the received information; The system further includes an integrated information generation unit that generates integrated information that integrates the first disaster information acquired by the first information acquisition unit and the second disaster information acquired by the second information acquisition unit, or an integrated information display unit that displays the integrated information.

2. 10. The system of claim 1, The integrated information is a common situation diagram that integrates the first disaster information and the second disaster information onto a map of an area that includes at least a portion of the target area.

3. 10. The system of claim 1, The first disaster information and the second disaster information each include information on the location of the disaster; The integrated information is a common situation diagram that integrates the first disaster information and the second disaster information based on information about the disaster location on a map of an area that includes at least a portion of the target area.

4. 10. The system of claim 1, the first information acquisition unit acquires the first disaster information including a disaster location determined by analyzing and processing the sensing data in the disaster situation determination unit; the second information acquisition unit acquires the second disaster information including the disaster location determined by analyzing and processing the received information in the disaster situation determination unit; The integrated information is a common situation diagram that displays the first disaster information and the second disaster information in association with the disaster location on a map of an area including at least a portion of the target area.

5. 5. The system of claim 4, The disaster situation determination unit analyzes and processes the sensing data or the received information, and when it detects the occurrence of a disaster including at least one of flood, inundation, mudslide, fire, tsunami, and power outage, determines the location or area where the occurrence of the disaster is detected as the disaster location.

6. 10. The system of claim 1, The disaster situation determination unit analyzes and processes the sensing data or the received information to detect the operating status of at least one of traffic lights, street lights, and domestic lighting equipment, and determines that a power outage in a location or area where non-operating equipment is detected is the nature of the disaster.

7. 10. The system of claim 1, The disaster situation determination unit analyzes and processes the sensing data or the received information to detect at least one of floods, inundation, mudslides, landslides, bridge collapses, fallen trees, and vehicles stopped for a predetermined period of time or longer, and determines that the damage is due to the disruption of roads passing through the location where any of the above is detected.

8. 10. The system of claim 1, the first information acquisition unit acquires the first disaster information including details of the disaster determined by analyzing the sensing data in the disaster situation determination unit; the second information acquisition unit acquires the second disaster information including details of the disaster determined by analyzing the received information in the disaster situation determination unit; The integrated information is a common situation diagram that displays the first disaster information and the second disaster information in association with each disaster type on a map of an area that includes at least a portion of the target area.

9. 10. The system of claim 1, When a first disaster location and a first disaster content are determined based on the sensing data and a second disaster location and a second disaster content are included in the received information, A system that compares the first disaster details and second disaster details corresponding to a first disaster location and a second disaster location that are located at the same location or within a predetermined distance, determines whether the received information is correct or not based on the results of the comparison, and outputs the results of the determination.

10. 10. The system of claim 1, When a first disaster location and a first disaster content are determined based on the sensing data, and a second disaster location and a second disaster content are included in the received information or are determined based on the received information, A system that compares the first disaster content and the second disaster content that correspond to a first disaster location and a second disaster location that are located at the same location or within a predetermined distance, and, depending on the result of the comparison, determines whether the first disaster content determined based on the sensing data is correct or whether the second disaster content determined based on the received information is correct or not, and outputs the result of the determination.

11. 10. The system of claim 1, When a predicted location of a first future disaster and a predicted content of the first disaster are predicted based on the sensing data, and a predicted location of a second future disaster and a predicted content of the second disaster are predicted based on the received information, A system that compares a first disaster prediction content and a second disaster prediction content that correspond to a first disaster prediction location and a second disaster prediction location that are located at the same location or within a predetermined distance from each other, and determines whether the first disaster prediction content predicted based on the sensing data is correct or whether the second disaster prediction content predicted based on the received information is correct or not, depending on the result of the comparison, and outputs the result of the determination.

12. 10. The system of claim 1, a validity confirmation display unit that displays at least one of the first disaster information and the second disaster information; The validity confirmation display unit displays at least one of the following information on a map of an area including at least a portion of the target area: the current disaster situation or the predicted future disaster situation determined based on the sensing data, and the current disaster situation or the predicted future disaster situation determined based on the received information.

13. 10. The system of claim 1, a validity confirmation display unit that displays at least one of the first disaster information and the second disaster information; The validation display section is The first disaster information includes at least one of the sensing data, a current disaster situation or a predicted future disaster situation determined based on the sensing data, and the second disaster information including at least one of the received information, a current disaster situation or a predicted future disaster situation determined based on the received information, and displaying on a map an area including at least a portion of the area of ​​interest.

14. 10. The system of claim 1, The system includes a user input receiving unit that receives input regarding the validity of at least one of the first disaster information and the second disaster information.

15. 10. The system of claim 1, When the first disaster information is newly acquired by the first information acquisition unit, The integrated information generation unit updates the integrated information using the newly acquired first disaster information and notifies the user that the integrated information has been updated.

16. 10. The system of claim 1, When the second disaster information is newly acquired by the second information acquisition unit, The integrated information generation unit updates the integrated information using the newly acquired second disaster information and notifies the user that the integrated information has been updated.

17. 10. The system of claim 1, The system, wherein the received information received from the on-site terminal device or the external system includes information regarding at least one of road disruptions, train service suspensions, power outages, communication disruptions, water disruptions, and gas disruptions.

18. 10. The system of claim 1, The system, wherein the received information received from the on-site terminal device or the external system includes image information or video information acquired from a camera installed on the ground or a portable mobile camera.

19. The computer a first acquisition step of acquiring first disaster information including at least one of sensing data obtained by sensing a target area including at least a part of the target area from the sky using an aircraft, or information determined by a disaster situation determination unit based on the sensing data; a second acquisition step of acquiring second disaster information including at least one of received information received from an on-site terminal device used by an on-site unit in the target area or an external system, and information determined by the disaster situation determination unit based on the received information; an integrated information generating step of generating integrated information by integrating the first disaster information and the second disaster information; An integrated information display step for displaying the integrated information, and a processing method for executing the step.

20. On the computer, a first acquisition command to acquire first disaster information including at least one of sensing data obtained by sensing a target area including at least a part of the target area from the sky using an aircraft, or information determined by a disaster situation determination unit based on the sensing data; a second acquisition command to acquire second disaster information including at least one of received information received from an on-site terminal device used by an on-site unit in the target area or an external system, and information determined by the disaster situation determination unit based on the received information; an integrated information generation command for generating integrated information by integrating the first disaster information and the second disaster information; an integrated information display command for displaying the integrated information; and a program for executing the command.

Images