Wide-area flooding estimation device, wide-area flooding estimation method, and wide-area flooding estimation program

Abstract

To prevent a point at which a degree of flooding can be grasped from being limited to a point at which each instrument is arranged.SOLUTION: A wide area flooding estimation device 100 includes a local flooding estimation part 101 and an accuracy improvement part 102. The local flooding estimation part 101 estimates the flooding damage at a point at which each instrument of an instrument group exists on the basis of a signal indicating an abnormality corresponding to each instrument of the instrument group constituted by one or more instruments existing on the ground. The accuracy improvement part 102 estimates the flooding damage at a point other than the point at which each instrument of the instrument group exists on the basis of the estimated flooding damage at the point at which each instrument of the instrument group exists, flooding information corresponding to data acquired with remote sensing and information indicating the altitude of the point other than the point at which each instrument of the instrument group exists.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present disclosure relates to a wide-area flooding estimation device, a wide-area flooding estimation method, and a wide-area flooding estimation program. [Background technology]

[0002] There are methods for collecting information from multiple devices and estimating the extent of a natural disaster based on the collected information. Patent Document 1 discloses a technology in which, when multiple devices are installed at positions different from each other at different heights, log data of each device and information indicating the height at which each device is installed are collected, and the extent of flooding is estimated from the presence or absence of abnormalities in each device. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2021 / 255822 Brochure Summary of the Invention [Problem to be solved by the invention]

[0004] The technology disclosed in Patent Document 1 has a problem in that the points at which the extent of flooding can be ascertained are limited to the points at which the devices are located.

[0005] The present disclosure aims to ensure that the points at which the extent of flooding can be grasped are not limited to the points at which each device is located. [Means for solving the problem]

[0006] The wide-area flood estimation device according to the present disclosure comprises: a local flooding estimation unit that estimates flood damage at a location where each device of an equipment group consisting of one or more devices located on the ground is located based on a signal indicating an abnormality corresponding to each device of the equipment group; and a high accuracy improvement unit that estimates flood damage at points other than the points where each device of the equipment group is located, based on the estimated flood damage at the points where each device of the equipment group is located, flood information corresponding to data acquired by remote sensing, and information indicating the elevation of points other than the points where each device of the equipment group is located; Equipped with. Effect of the Invention

[0007] According to the present disclosure, a local flooding estimation unit estimates flood damage using signals indicating anomalies corresponding to each device of an equipment group present on the ground. Also, a high accuracy improvement unit estimates flood damage in an area including the locations where each device of the equipment group is present and the locations where each device of the equipment group is not present, using the estimated flooding damage at the locations where each device of the equipment group is present and flooding information corresponding to data acquired by remote sensing. Therefore, according to the present disclosure, it is possible to ensure that the locations where the extent of flooding can be grasped are not limited to the locations where each device is located. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a wide-area inundation estimation system 90 according to the first embodiment. [Diagram 2] FIG. 1 is a diagram showing an example of the configuration of a wide-area inundation estimation device 100 according to a first embodiment. [Diagram 3] 5A and 5B are diagrams for explaining the processing performed by the accuracy improving unit 102 according to the first embodiment, where (a) is a diagram for explaining a conventional method, and (b) and (c) are diagrams for explaining the processing results performed by the accuracy improving unit 102. [Figure 4] FIG. 1 is a diagram showing an example of the configuration of a wide-area inundation estimation system 90 according to the first embodiment. [Diagram 5] FIG. 1 is a diagram showing an example of the hardware configuration of a wide-area inundation estimation device 100 according to embodiment 1. [Figure 6] 4 is a flowchart showing the operation of the wide area inundation estimation device 100 according to the first embodiment. [Figure 7] FIG. 2 is a diagram showing an example of the hardware configuration of a wide area inundation estimation device 100 relating to a modified example of the first embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] In the description of the embodiments and the drawings, the same elements and corresponding elements are given the same reference numerals. Descriptions of elements given the same reference numerals are omitted or simplified as appropriate. Arrows in the drawings primarily indicate data flow or processing flow. In addition, "part" may be read as "circuit," "step," "procedure," "processing," or "circuitry" as appropriate.

[0010] Embodiment 1 Hereinafter, the present embodiment will be described in detail with reference to the drawings.

[0011] ***Configuration Description*** Fig. 1 shows an example of the configuration of a wide-area inundation estimation system 90 according to this embodiment. As shown in Fig. 1, the wide-area inundation estimation system 90 comprises a wide-area inundation estimation device 100, a group of devices present in a target area 200, and an artificial satellite 300.

[0012] A group of devices exists within the target area 200. The target area 200 is an area for which flood damage is to be estimated. One or more points exist within the target area 200. Each point has one or more devices. In FIG. 1, points 201 and 202 exist within the target area 200. Here, the term point can refer to an area having an area. The device group typically consists of two or more devices. The device group may consist of one device. Hereinafter, "each device" means each device of the device group unless otherwise specified. Each device may be an IoT (Internet of Things) device having a communication module and connected to a network. The network is typically a wide-area communication network. Each device exists on the ground, and transmits an abnormality signal DIN3 when an abnormality corresponding to each device occurs. The abnormality corresponding to each device may be, for example, an abnormality of each device, an abnormality of a device linked to each device, or an abnormality around each device. Each device may determine whether or not an abnormality corresponding to each device has occurred based on data acquired by a sensor mounted on each device. For example, the sensor mounted on each device may be a camera, a thermo camera, or an environmental sensor. Note that the term "ground" may refer to an area not in contact with the ground surface, such as an area in contact with a structure on the ground. Each device may exist inside the building 81 or outside the building 81. Each device communicates directly or indirectly with the wide-area inundation estimation device 100. For example, each device may be a general home appliance. Specific examples of each device include a television 53, a washing machine 54, an indoor unit 55, an outdoor unit 56, and a smart meter 57. Each device may be a car or a vending machine.

[0013] The artificial satellite 300 is equipped with an observation device that observes the earth's surface by remote sensing, and transmits data indicating the observation results of the observation device directly or indirectly to the wide-area inundation estimation device 100. The observation device equipped on the artificial satellite 300 may be any device that is capable of observing the extent of flood damage on the earth's surface. The wide area inundation estimation system 90 may include a small aircraft such as a drone instead of the artificial satellite 300 or in addition to the artificial satellite 300. Here, the small aircraft is equipped with an observation device.

[0014] Fig. 2 shows an example configuration of a wide-area inundation estimation device 100 according to this embodiment. As shown in the figure, the wide-area inundation estimation device 100 comprises a local inundation estimation unit 101 and a high accuracy improvement unit 102. The wide-area inundation estimation device 100 may be realized by a cloud system or on-premise.

[0015] The local flooding estimation unit 101 estimates flood damage at the location where each device is located based on the abnormality signal DIN3 corresponding to each device, and generates local flooding information D101 indicating the estimated flooding damage. At this time, the local flooding estimation unit 101 may use information indicating the height from the ground surface of the location where each device is located. As a specific example, the local flooding estimation unit 101 estimates the depth of flooding at the location where each device is located as the flooding damage at the location where each device is located. As a specific example, the flooding depth is the depth of flooding at a certain point in time, or the average depth of flooding in a certain time period. In this example, when the local flooding estimation unit 101 receives an abnormality signal DIN3 corresponding to a certain device, it may estimate that the depth of flooding at the location where the certain device is located is equal to or greater than the height of the location where the certain device is located. Furthermore, the local flooding estimation unit 101 may estimate that an abnormality has occurred in a target device included in the device group when communication with the target device has been interrupted. In this case, the local flooding estimation unit 101 may determine that communication with the target device has been interrupted when the abnormality signal DIN3 corresponding to the target device has not been received continuously for a failure determination time or longer. When estimating the cause of not receiving the abnormality signal DIN3 from the target device, the local flooding estimation unit 101 may use time series data of the abnormality signal DIN3 corresponding to the target device, may use abnormality signals DIN3 corresponding to other devices, or may use information indicating the area experiencing a power outage. The local flood estimation unit 101 may estimate flood damage at a target location using abnormality signals DIN3 corresponding to each of a plurality of devices present at the target location.

[0016] The abnormality signal DIN3 is a signal indicating an abnormality corresponding to each device. The abnormality signal DIN3 may be a signal indicating that an abnormality has occurred in each device, a signal specifically indicating the content of the abnormality occurring in each device, or a signal indicating that an abnormality has occurred around each device. The abnormality signal DIN3 may also include data indicating the observation results of a sensor mounted in each device. The wide-area inundation estimation device 100 may receive the abnormality signal DIN3 directly from each device, or may receive the abnormality signal DIN3 from a server or the like that collects log data of each device.

[0017] The accuracy improving unit 102 generates wide-area flooding information DOUT by improving the accuracy of the wide-area flooding information DIN1 using the local flooding information D101 and the altitude information DIN2. At this time, the accuracy improving unit 102 estimates flood damage at points other than the points where each device in the device group is located, based on the local flooding information D101 and the altitude information DIN2. The accuracy improving unit 102 may estimate flood damage at points other than the points where each of the multiple devices included in the device group is located, based on the flooding damage estimated by the local flooding estimation unit 101 at the points where each of the multiple devices included in the device group is located. Improving the accuracy of the wide-area flooding information DIN1 means correcting the wide-area flooding information DIN1 based on the local flooding information D101. The accuracy improving unit 102 is also called a flood information accuracy improving unit. The accuracy improving unit 102 may generate the wide-area inundation information DOUT using AI (Artificial Intelligence) technology such as machine learning. In this case, as a specific example, the accuracy improving unit 102 uses an inference model that has learned the relationship between the local flooding information D101, the wide-area inundation information DIN1, the elevation information DIN2, and the wide-area inundation information DOUT. In this inference model, the inputs are the local flooding information D101, the wide-area inundation information DIN1, and the elevation information DIN2, and the output is the wide-area inundation information DOUT.

[0018] The wide-area inundation information DIN1 is information indicating flood damage over a wide area, and is inundation information corresponding to data acquired by remote sensing. The inundation information corresponding to data acquired by remote sensing may be the data acquired by remote sensing itself, or may be information obtained by processing the data acquired by remote sensing. As a specific example, the wide-area inundation information DIN1 is information corresponding to data acquired by a sensor mounted on an artificial satellite 300, or information corresponding to data acquired by a sensor mounted on a small airplane.

[0019] The altitude information DIN2 is information that indicates the altitude of each point within the area that is the subject of estimated flood damage. The altitude information DIN2 includes information that indicates the altitude of points other than the points where each device of the device group is located.

[0020] The wide-area inundation information DOUT is information that indicates flood damage in a wide area. The wide-area inundation information DOUT is also called high-precision wide-area inundation information.

[0021] 3 is a diagram for explaining the processing of the accuracy improving unit 102. Here, the flooded area based on remote sensing is the flooded area indicated by the wide-area flood information DIN1. Figure 3 (a) shows the results of estimating flood depth using the conventional method. The conventional method estimates a horizontal flood surface using information indicating the flooded area obtained from Synthetic Aperture Radar (SAR) images and elevation information indicated by a Digital Elevation Model (DEM), and determines the flood depth at each point as the difference between the estimated flood surface and the elevation at that point. However, because the flood surface is not always horizontal, the conventional method was unable to estimate the flood depth at each point with a relatively high degree of accuracy. Figure 3(b) shows a specific example of the processing results of the accuracy improvement unit 102. Here, it is assumed that there is equipment at both positions P1 and P2, and the local inundation estimation unit 101 has estimated that the flood depth at position P1 is a [m] and the flood depth at position P2 is b [m]. At this time, as a specific example, the accuracy improvement unit 102 estimates the water level at each point between positions P1 and P2 by performing interpolation based on the estimation results of the flood depth at each of positions P1 and P2 by the local inundation estimation unit 101, and estimates the flood depth at each point based on the estimated water level at each point and the elevation at each point. As a specific example, the accuracy improving unit 102 estimates the water level at each point outside of positions P1 and P2 by performing extrapolation based on the estimation results of the flood depth at each of positions P1 and P2 by the local inundation estimation unit 101, and calculates the flood depth at each point based on the estimated water level at each point and the elevation at each point. As a specific example, for each point where the flood depth cannot be estimated based on the estimation results of the local inundation estimation unit 101, the accuracy improving unit 102 estimates the water level at each point so that it is consistent with the water level estimated based on the estimation results of the local inundation estimation unit 101, and estimates the flood depth at each point based on the estimated water level at each point and the elevation at each point. The accuracy improving unit 102 generates the wide-area inundation information DOUT by correcting the flood depth indicated by the wide-area inundation information DIN1 based on the estimated flood depth. The accuracy improving unit 102 may appropriately correct the flooded area indicated by the wide-area flooding information DIN1 based on the estimation results of the local flooding estimation unit 101 and the elevation information DIN2. In (b) of Figure 3, the flooded area has been corrected because the water surface of the flooded area has a slope. The accuracy improving unit 102 may also estimate the flood depth at each point surrounded by three or more points where the flood depth has been estimated by the local flooding estimation unit 101. Figure 3(c) shows a specific example of the processing results of the accuracy improvement unit 102. Here, it is assumed that there is equipment at each of positions P1 and P2, and the local inundation estimation unit 101 has estimated the flood depth at each of positions P1 and P2 at each of times t1, t2, and t3. The accuracy improvement unit 102 estimates the flood depth at each point at each of times t1, t2, and t3 by executing the process described in Figure 3(b) using the estimation results of the local inundation estimation unit 101 at each of times t1, t2, and t3.

[0022] 4 shows an example of the network configuration of a wide-area inundation estimation system 90. In this example, the wide-area inundation estimation system 90 comprises a home appliance network system 91 and a disaster prevention network system 92.

[0023] The home appliance network system 91 is a system made up of one or more home appliances connected to a network. When the abnormality detection unit detects an abnormality in a home appliance connected to the network, the abnormality detection unit transmits an abnormality signal corresponding to the home appliance and location information indicating the location of the home appliance to a server via a router and the network. The server may be a cloud server. In addition, when the home appliance network system 91 is a cloud system, the edge side may perform the abnormality detection, or the cloud side may perform the abnormality detection. When the edge side performs the abnormality detection, a device that monitors each home appliance may include the abnormality detection unit, each home appliance may include the abnormality detection unit, or an IoT adapter connected to each home appliance may include the abnormality detection unit. When the cloud side performs the abnormality detection, the cloud server may include the abnormality detection unit. When the cloud server includes the abnormality detection unit, as a specific example, each home appliance transmits the generated signal and the acquired data to the cloud server. The server transmits the abnormality signal and the location information via the network to the wide-area inundation estimation device 100. The server does not have to transmit the location information to the wide-area inundation estimation device 100, and may transmit information indicating the location where the home appliance is located to the wide-area inundation estimation device 100 instead of the location information.

[0024] The disaster prevention network system 92 is a system that generates information related to disasters based on data acquired by remote sensing. The information related to disasters is, as a specific example, information indicating at least one of a sign of a disaster and the situation of the disaster. The disaster prevention network system 92 is, as a specific example, equipped with a wide area inundation estimation device 100 and an artificial satellite 300.

[0025] Fig. 5 shows an example of the hardware configuration of the wide-area inundation estimation device 100 according to this embodiment. The wide-area inundation estimation device 100 is made up of a computer. The wide-area inundation estimation device 100 may be made up of multiple computers.

[0026] As shown in the figure, the wide area inundation estimation device 100 is a computer equipped with hardware such as a processor 11, memory 12, auxiliary storage device 13, input / output IF (Interface) 14, and communication device 15. These hardware components are appropriately connected via signal lines 19.

[0027] The processor 11 is an integrated circuit (IC) that performs arithmetic processing and controls the hardware of the computer. Specific examples of the processor 11 include a central processing unit (CPU), a digital signal processor (DSP), and a graphics processing unit (GPU). The wide area inundation estimation device 100 may include multiple processors that replace the processor 11. The multiple processors share the role of the processor 11.

[0028] The memory 12 is typically a volatile storage device, and a specific example is a RAM (Random Access Memory). The memory 12 is also called a primary storage device or a main memory. Data stored in the memory 12 is saved in the auxiliary storage device 13 as necessary.

[0029] The auxiliary storage device 13 is typically a non-volatile storage device, and specific examples thereof include a ROM (Read Only Memory), an HDD (Hard Disk Drive), or a flash memory. Data stored in the auxiliary storage device 13 is loaded into the memory 12 as necessary. The memory 12 and the auxiliary storage device 13 may be integrated into one unit.

[0030] The input / output IF 14 is a port to which an input device and an output device are connected. A specific example of the input / output IF 14 is a Universal Serial Bus (USB) terminal. Specific examples of the input device are a keyboard and a mouse. A specific example of the output device is a display.

[0031] The communication device 15 is a receiver and a transmitter, and is, for example, a communication chip or a network interface card (NIC).

[0032] Each part of the wide area inundation estimation device 100 may use the input / output IF 14 and the communication device 15 as appropriate when communicating with other devices, etc.

[0033] The auxiliary storage device 13 stores a wide-area inundation estimation program. The wide-area inundation estimation program is a program that causes a computer to realize the functions of each part of the wide-area inundation estimation device 100. The wide-area inundation estimation program is loaded into the memory 12 and executed by the processor 11. The functions of each part of the wide-area inundation estimation device 100 are realized by software.

[0034] Data used when executing the wide-area inundation estimation program and data obtained by executing the wide-area inundation estimation program are appropriately stored in a storage device. Each part of the wide-area inundation estimation device 100 uses a storage device as appropriate. As a specific example, the storage device comprises at least one of the memory 12, the auxiliary storage device 13, a register in the processor 11, and a cache memory in the processor 11. Note that the terms data, information, and signal may have equivalent meanings. The storage device may be independent of the computer. The functions of the memory 12 and the auxiliary storage device 13 may be realized by other storage devices.

[0035] The wide-area flooding estimation program may be recorded in a computer-readable non-volatile recording medium. Specific examples of the non-volatile recording medium include an optical disk and a flash memory. The wide-area flooding estimation program may be provided as a program product.

[0036] ***Explanation of Operation*** The operating procedure of the wide-area inundation estimation device 100 corresponds to a wide-area inundation estimation method. Also, the program that realizes the operation of the wide-area inundation estimation device 100 corresponds to a wide-area inundation estimation program.

[0037] 6 is a flow chart showing an example of the operation of the wide-area inundation estimation device 100. The operation of the wide-area inundation estimation device 100 will be explained using FIG.

[0038] (Step S101) When an abnormality occurs corresponding to each device, the local flood estimation unit 101 estimates flood damage at the location where each device is located.

[0039] (Step S102) First, the high accuracy improvement unit 102 estimates flood damage at locations where each device is located using information indicating flood damage at locations where each device is located estimated by the local flood estimation unit 101, wide-area flood information DIN1, and elevation information DIN2. Next, the accuracy improving unit 102 generates wide-area inundation information DOUT by reflecting in the wide-area inundation information DIN1 the flood damage estimated by each of the local inundation estimation unit 101 and the accuracy improving unit 102. Note that the wide-area inundation information DOUT corresponds to information obtained by improving the accuracy of the wide-area inundation information DIN1.

[0040] ***Explanation of the Effects of the First Embodiment*** As described above, according to this embodiment, flood damage is estimated using flood information based on data obtained by remote sensing and signals indicating abnormalities in equipment on the ground, making it possible to obtain relatively accurate wide-area flood information. In addition, when data acquired from devices are used in a comprehensive manner, the spatial resolution of the information depends on the distribution of the devices. Therefore, when acquiring data using dedicated devices, the conventional technology has a problem that the spatial accuracy of the information is significantly reduced in areas where there are not many dedicated devices, such as suburban areas. On the other hand, according to this embodiment, data can also be acquired using general home appliances. Therefore, according to this embodiment, the spatial accuracy of the information is relatively high even in suburban areas.

[0041] In addition, when estimating flooded areas through satellite remote sensing, data can only be obtained from the satellite a few times a day, so the flooded areas are only updated a few times a day. Therefore, even if the flooded area and the flood depth change, the conventional method has the problem that the changed flooded area and flood depth cannot be immediately estimated. On the other hand, according to this embodiment, the flooded area and the flood depth are estimated using the abnormality signals corresponding to each device. Here, the abnormality signals corresponding to each device are acquired relatively frequently. Therefore, according to this embodiment, when the flooded area and the flood depth change, the changed flooded area and the flood depth can be estimated relatively quickly.

[0042] ***Other configurations*** <Variation 1> The local flooding estimation unit 101 may use a signal indicating the observation result of a sensor instead of or in addition to the abnormality signal DIN3. Here, the sensor is typically installed on the ground. Specific examples of the sensor include a sensor that observes the position of the water surface, a sensor that observes the water depth, or a sensor that observes the water pressure. The local flooding estimation unit 101 may use information indicating the height of the position where the sensor is installed.

[0043] <Variation 2> FIG. 7 shows an example of the hardware configuration of a wide area inundation estimation device 100 according to this modified example. The wide area inundation estimation device 100 includes a processing circuit 18 instead of the processor 11, the processor 11 and a memory 12, the processor 11 and an auxiliary storage device 13, or the processor 11, the memory 12 and the auxiliary storage device 13. The processing circuit 18 is hardware that realizes at least a portion of each component of the wide-area inundation estimation device 100. The processing circuitry 18 may be dedicated hardware, or may be a processor that executes programs stored in the memory 12 .

[0044] When processing circuitry 18 is dedicated hardware, processing circuitry 18 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. The wide area inundation estimation device 100 may include a plurality of processing circuits that replace the processing circuit 18. The plurality of processing circuits share the role of the processing circuit 18.

[0045] In the wide area inundation estimation device 100, some functions may be realized by dedicated hardware, and the remaining functions may be realized by software or firmware.

[0046] Processing circuitry 18 is illustratively implemented in hardware, software, firmware, or a combination thereof. The processor 11, memory 12, auxiliary storage device 13 and processing circuit 18 are collectively referred to as the "processing circuitry." In other words, the functions of each of the functional components of the wide area inundation estimation device 100 are realized by the processing circuitry.

[0047] ***Other embodiments*** Although the first embodiment has been described, it is possible to combine a plurality of parts of the present embodiment. Alternatively, it is possible to partially implement the present embodiment. In addition, the present embodiment may be modified in various ways as necessary, and may be implemented in any combination, either as a whole or in part. The above-described embodiment is essentially a preferred example, and is not intended to limit the scope of the present disclosure, its applications, and uses. The procedures described using the flowcharts and the like may be modified as appropriate.

[0048] Various aspects of the present disclosure are summarized below as appendices.

[0049] (Appendix 1) a local flooding estimation unit that estimates flood damage at a location where each device of an equipment group consisting of one or more devices located on the ground is located based on a signal indicating an abnormality corresponding to each device of the equipment group; and a high accuracy improvement unit that estimates flood damage at points other than the points where each device of the equipment group is located, based on the estimated flood damage at the points where each device of the equipment group is located, flood information corresponding to data acquired by remote sensing, and information indicating the elevation of points other than the points where each device of the equipment group is located; A wide-area flood estimation device equipped with the above.

[0050] (Appendix 2) Each device in the device group is a home appliance, A wide-area flood estimation device as described in Appendix 1, wherein each device in the device group is connected to a network.

[0051] (Appendix 3) The device group is composed of two or more devices, The wide-area flood estimation device described in Appendix 1 or 2, wherein the high accuracy unit estimates flood damage at points other than the points where each of the multiple devices included in the equipment group is located based on estimated flood damage at the points where each of the multiple devices is located.

[0052] (Appendix 4) A wide-area flooding estimation device as described in any one of Appendices 1 to 3, wherein the local flooding estimation unit estimates that an abnormality has occurred corresponding to a target device included in the group of devices when communication with the target device is interrupted.

[0053] (Appendix 5) A wide-area inundation estimation device as described in any one of Appendices 1 to 4, wherein the local inundation estimation unit estimates the depth of inundation at the location where each device of the equipment group is located as the inundation damage at the location where each device of the equipment group is located.

[0054] (Appendix 6) A wide-area flooding estimation device as described in any one of Appendices 1 to 5, wherein the flooding information corresponds to data acquired by a sensor installed on an artificial satellite. [Explanation of symbols]

[0055] 11 processor, 12 memory, 13 auxiliary storage device, 14 input / output IF, 15 communication device, 18 processing circuit, 19 signal line, 53 television, 54 washing machine, 55 indoor unit, 56 outdoor unit, 57 smart meter, 81 building, 90 wide-area flooding estimation system, 91 home appliance network system, 92 disaster prevention network system, 100 wide-area flooding estimation device, 101 local flooding estimation unit, 102 high accuracy improvement unit, 200 target area, 201, 202 locations, 300 artificial satellite, DIN1 wide-area flooding information, DIN2 elevation information, DIN3 abnormal signal, D101 local flooding information, DOUT wide-area flooding information.

Claims

1. a local flooding estimation unit that estimates flood damage at a location where each device of an equipment group, which is composed of one or more devices located on the ground, is located based on a signal indicating an abnormality corresponding to each device of the equipment group; and a high accuracy improvement unit that corrects flood information corresponding to data acquired by remote sensing using information indicating the estimated flood damage at the location where each device of the device group is located and the elevation of a location other than the location where each device of the device group is located; A wide-area flood estimation device equipped with the above.

2. Each device in the device group is a home appliance, The wide-area flood estimation device according to claim 1 , wherein each device in the device group is connected to a network.

3. The device group is composed of two or more devices, The wide-area flood estimation device of claim 1 or 2, wherein the high accuracy unit estimates flood damage at points other than the points where each of the plurality of devices included in the equipment group is located based on estimated flood damage at the points where each of the plurality of devices included in the equipment group is located.

4. The wide-area flooding estimation device of claim 1 or 2, wherein the local flooding estimation unit estimates that an abnormality has occurred corresponding to a target device included in the group of devices when communication with the target device is interrupted.

5. The wide-area flooding estimation device according to claim 1 or 2, wherein the local flooding estimation unit estimates the depth of flooding at the location where each device of the equipment group is located as the flooding damage at the location where each device of the equipment group is located.

6. 3. The wide-area flooding estimation device according to claim 1, wherein the flooding information corresponds to data acquired by a sensor mounted on an artificial satellite.

7. The computer estimates flood damage at a location where each of the equipment groups, which is composed of one or more equipment on the ground, is located, based on a signal indicating an abnormality corresponding to each of the equipment groups; A wide-area flood estimation method in which the computer corrects flood information corresponding to data obtained by remote sensing using information indicating the estimated flood damage at the location where each device of the equipment group is located and the elevation of points other than the location where each device of the equipment group is located.

8. A local flooding estimation process that estimates flood damage at a location where each device of an equipment group consisting of one or more devices located on the ground is located based on a signal indicating an abnormality corresponding to each device of the equipment group; a high-precision process for correcting flood information corresponding to data acquired by remote sensing using information indicating the estimated flood damage at the location where each device of the device group is located and the elevation of a location other than the location where each device of the device group is located; A wide-area inundation estimation program that causes a wide-area inundation estimation device, which is a computer, to execute the above.

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