Information processing device, program, and method

Abstract

Improve the technology for determining false detection of water intrusion sensors. [Solution] The information processing device includes a control unit that acquires water flood detection information from a water flood detection unit, acquires meteorological information for the location or area where water flooding was detected, and determines the possibility that the water flood detection was an erroneous detection based on the meteorological information. When none of the acquired meteorological information data meets the conditions indicating that the location or area where water flooding was detected is under conditions where flooding may occur, the control unit determines that the water flood detection is likely to be an erroneous detection.

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, a program, and a method, and more particularly to an information processing device, a program, and a method for appropriately determining the occurrence of flooding. [Background technology]

[0002] Technologies for detecting flooding have been known for some time. There are various devices for detecting flooding, such as flood sensors that detect flooding, flood sensors that detect submergence, and water level sensors that measure the height of the water surface (water level) from a reference surface. In this specification, these will be collectively referred to as "flood sensors." The Ministry of Land, Infrastructure, Transport and Tourism is also conducting demonstration experiments on a system that collects information from multiple flood sensors and grasps the flood situation.

[0003] Furthermore, methods for preventing flooding and abnormal detection of water levels have been studied. For example, Non-Patent Documents 1 and 2 prescribe the following processing for abnormal values ​​of water level gauges. The water level is determined by averaging the observed water level for at least 20 seconds with a sampling interval of at least 1 second. At this time, any outliers that occur momentarily are removed and averaged. Instead of removing outliers, the maximum and minimum values ​​may be removed and then averaged. Example: If measurements are taken at 1-second intervals for 20 seconds, 16 data points will be averaged. [Prior art documents] [Non-patent literature]

[0004] [Non-Patent Document 1] Ministry of Land, Infrastructure, Transport and Tourism, Water Management and Land Conservation Bureau, River Planning Division, River Information Planning Office, "Guidelines for the Installation of Crisis Management Water Level Gauges (Draft)," [online][retrieved on 2024-07-01], internet,<URL: https: / / www.mlit.go.jp / river / shishin_guideline / kasen / pdf / kikikanri_tebiki.pdf> [Non-patent document 2] Ministry of Land, Infrastructure, Transport and Tourism, Water Management and Land Conservation Bureau, River Planning Division, River Information Planning Office, "Observation Standards and Specifications for Crisis Management Water Level Gauges," [online][retrieved on 2024-07-01], internet,<URL: https: / / www.mlit.go.jp / common / 001218244.pdf> Summary of the Invention [Problem to be solved by the invention]

[0005] Even when flooding is not occurring, flood sensors can detect flooding (sometimes called "false detection") due to malfunctioning detection mechanisms, such as moisture adhering to the detector or the rising of the detection float, depending on the installation height and surrounding environment, such as vegetation. Various other factors can also cause flood sensors to malfunction, resulting in false detections and the issuance of false flood detection information. Systems that analyze city camera images to detect flooding are also being considered, but image analysis can sometimes be difficult to determine, resulting in inaccurate results. Given the intended use and characteristics of sensors that notify users of the occurrence or ongoing status of flooding, such false detections require prompt communication of information based on a safe erroneous judgment. However, frequent occurrences can lead to doubts about the accuracy of detection and hinder timely and accurate decisions.

[0006] While conventional techniques for preventing abnormality detection can deal with the occurrence of momentary abnormal values, they cannot deal with the above-mentioned "false detections." Therefore, it was necessary to determine the possibility of a "false detection" by the water intrusion sensor, but it was difficult to determine a "false detection" caused by a malfunction of the detection mechanism using only the detection program on the sensor. In other words, there was room for improvement in the technology for determining false detection of water intrusion.

[0007] In view of the above circumstances, an object of the present disclosure is to improve the technology for determining false detection of water submersion. [Means for solving the problem]

[0008] In order to solve the above problems, the information processing device according to the present disclosure includes: (1) An information processing device that includes a control unit that acquires flood detection information from a flood detection means, acquires weather information for the location or area where flooding is detected, and determines the possibility that the flood detection is an erroneous detection based on the weather information.

[0009] (2) It is preferable that the information processing device of (1) above further determines that the flood detection is likely to be an erroneous detection when none of the weather information data acquired by the control unit meets the conditions indicating that the location or area where flooding is detected is in a situation where flooding may occur.

[0010] (3) It is preferable that the information processing device of (1) or (2) further includes the acquired meteorological information including multiple pieces of information from among special weather warnings, alerts, and advisories, designated river flood forecasts, flood warning risk distributions, heavy rain warning (flooding) risk distributions, and precipitation distribution forecasts.

[0011] (4) In any of the information processing devices described in (1) to (3) above, when the acquired weather information is a special weather warning, alert, or advisory, it is preferable that the condition indicating that a situation in which flooding may occur is that a warning of a predetermined level or higher has been issued in the area in which flooding has been detected, and that a predetermined amount of time has not yet elapsed since the warning was lifted.

[0012] (5) In any of the information processing devices described in (1) to (4) above, when the acquired weather information is a designated river flood forecast, it is preferable that the condition indicating that a situation in which flooding may occur is that a report of a predetermined level or higher has been issued in the area in which flooding has been detected and that a predetermined time has not elapsed since the report was lifted, or that a report of a predetermined level or higher has been issued within a predetermined time in an area within a predetermined range centered on the location in which flooding has been detected.

[0013] (6) In any of the information processing devices described in (1) to (5) above, when the acquired weather information is a risk distribution of a flood warning or a risk distribution of a heavy rain warning (flood damage), it is preferable that the condition indicating that a situation in which flooding may occur is that a report of a predetermined level or higher has been issued within a predetermined time period in an area within a predetermined range centered on the location where flooding was detected.

[0014] (7) In any of the information processing devices described in (1) to (6) above, when the acquired weather information is a precipitation distribution forecast, it is preferable that the condition indicating that a situation in which flooding may occur is that a rainfall forecast of a predetermined amount of rainfall or more per unit time has been announced within a predetermined time in an area of ​​a predetermined range centered on the location where flooding has been detected.

[0015] (8) In any of the information processing devices described above in (1) to (7), it is preferable that the control unit further notifies information about the water submersion detection when it determines that there is a low possibility that the water submersion detection is an erroneous detection.

[0016] (9) In any of the information processing devices described above in (1) to (8), it is preferable that the water ingress detection means is a water ingress sensor.

[0017] (10) In any of the information processing devices described above in (1) to (8), it is preferable that the water inundation detection means is a device equipped with an imaging device and a trained model that detects water inundation from images captured by the imaging device.

[0018] In order to solve the above problem, the information processing device according to the present disclosure includes: (11) An information processing device that includes a control unit that acquires meteorological information, determines the possibility that a water inundation detection will be an erroneous detection based on the meteorological information, and acquires water inundation detection information from a water inundation detection means that is unlikely to be an erroneous detection.

[0019] In order to solve the above problem, the program according to the present disclosure includes: (12) A program that causes a computer to function as any one of the information processing devices (1) to (10) above.

[0020] In addition, in order to solve the above problem, the program according to the present disclosure includes: (13) A program that causes a computer to function as the information processing device described above in (11).

[0021] In order to solve the above problem, the method according to the present disclosure includes: (14) A method executed by an information processing device, the method including: acquiring information on flood detection from a flood detection means; acquiring weather information for the location or area where flooding was detected; and determining, based on the weather information, the possibility that the flood detection is an erroneous detection.

[0022] In order to solve the above problem, the method according to the present disclosure includes: (15) A method executed by an information processing device, the method including: acquiring meteorological information; determining the possibility that a water inundation detection will be an erroneous detection based on the meteorological information; and acquiring water inundation detection information from a water inundation detection means that is unlikely to be an erroneous detection. [Effects of the Invention]

[0023] According to an embodiment of the present disclosure, techniques for determining false detection of water intrusion can be improved. [Brief explanation of the drawings]

[0024] [Figure 1]1 is a block diagram illustrating a schematic configuration of a system according to an embodiment of the present disclosure. [Figure 2] FIG. 1 is a block diagram showing a schematic configuration of an information processing device. [Figure 3] FIG. 2 is a diagram illustrating an example of a water immersion detection unit. [Figure 4] FIG. 10 is a diagram illustrating another example of a water immersion detection means. [Figure 5] 10 is a flowchart illustrating an operation of an information processing device according to an embodiment of the present disclosure. [Figure 6] 10 is a flowchart illustrating an example of a process for determining whether an erroneous detection has occurred. [Figure 7] 10 is a flowchart illustrating an operation of an information processing device according to a modified example of an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0025] An information processing device 10 according to an embodiment of the present disclosure and its processing operations will be described below with reference to the drawings. In each drawing, identical or corresponding parts are designated by the same reference numerals. In the description of each embodiment, the description of identical or corresponding parts will be omitted or simplified as appropriate.

[0026] An overview of an information processing device 10 according to this embodiment and a water submersion detection system 1 including the information processing device 10 will be described with reference to FIG.

[0027] The system 1 according to this embodiment includes an information processing device 10, a flood detection means 20, and a weather information server 30. The information processing device 10 and the flood detection means 20 are communicatively connected via a network 40 including, for example, a mobile communication network and the Internet. The information processing device 10 and the weather information server 30 are communicatively connected via the network 40.

[0028] The information processing device 10 is an example of an information processing device disclosed herein, and determines whether or not water inundation has been detected erroneously. The information processing device 10 is, for example, a server device installed in a data center or the like. For example, the information processing device 10 is a server belonging to a cloud computing system or other computing system. Alternatively, the information processing device 10 may be a small computer such as a PC (Personal Computer). The information processing device 10 is capable of communicating with the water inundation detection means 20 and the weather information server 30 via a network 40. Note that while FIG. 1 shows an example in which the system 1 includes one information processing device 10, this is not limiting. The system 1 may include two or more information processing devices 10.

[0029] The flood detection means 20 is a detection means installed in various locations to quickly grasp the status of flooding caused by heavy rain or the like. The flood detection means 20 includes a flood sensor (including a submergence sensor, a water level sensor (water level gauge), etc.) as well as any other means for detecting flooding. As described below, the flood detection means 20 may include an imaging device 221 ( FIG. 4 ) that photographs roads and urban areas and a device 222 that detects flooding by analyzing images photographed by the imaging device 221. The flood detection means 20 may transmit flood detection information in response to a request from the information processing device 10, or the flood detection means 20 may transmit flood detection information to the information processing device 10 regardless of a request from the information processing device 10. Note that while FIG. 1 illustrates only one flood detection means 20 in the system 1, this is not limited to this. The system 1 may include two or more flood detection means 20, or may include multiple flood detection means 20 installed in various locations.

[0030] The weather information server 30 is a server device installed in, for example, a data center. For example, the weather information server 30 is a server managed by the Ministry of Land, Infrastructure, Transport and Tourism or the Japan Meteorological Agency and provides weather information. The weather information server 30 can communicate with the information processing device 10 via a network 40 and provides information such as emergency weather warnings, alerts, and advisories, designated river flood forecasts, flood warning risk distributions, heavy rain warning (flooding) risk distributions, and precipitation distribution forecasts. While FIG. 1 shows an example in which the system 1 is equipped with one weather information server 30, this is not limited to this. The system 1 may be equipped with two or more weather information servers 30. The weather information server 30 is not limited to a server managed by the Ministry of Land, Infrastructure, Transport and Tourism or the Japan Meteorological Agency, but may also be a server managed by a private service that provides various weather information.

[0031] First, an overview of this embodiment will be described, and details will be provided later. The information processing device 10 acquires water flood detection information from the water flood detection means 20. The information processing device 10 also acquires weather information for the location or area where water flooding has been detected from the weather information server 30. Here, the location where water flooding has been detected refers to the location where the occurrence of water flooding was detected (e.g., indicated by latitude and longitude; sometimes simply referred to as the water flood detection location), such as the location where the water flood sensor 21 (FIG. 3) that detected water flooding is installed or the location where an image of the water flooding was acquired, and the area where water flooding has been detected refers to the city, town, village, etc. where the occurrence of water flooding was detected (the area unit that is the target of warnings, etc.). The location of the water flood sensor 21 may be stored in the information processing device 10.

[0032] Furthermore, based on the acquired weather information, the information processing device 10 determines the possibility that the water inundation detection acquired from the water inundation detection means 20 is an erroneous detection. The information processing device 10 then outputs the determination result. Note that if the information processing device 10 determines that the water inundation detection is unlikely to be an erroneous detection, it may notify the outside of the information about the water inundation detection.

[0033] Thus, according to this embodiment, the information processing device 10 determines the possibility that the water inundation detection is an erroneous detection based on the water inundation detection information from the water inundation detection means 20 and meteorological information for the location or area where the water inundation was detected. In other words, according to this embodiment, the technology for determining erroneous water inundation detection is improved in that the reliability of the water inundation detection information is determined by combining various meteorological information for the location or area where the water inundation was detected.

[0034] Next, each component of the water intrusion detection system 1 will be described in detail.

[0035] (Configuration of information processing device) As shown in FIG. 2, the information processing device 10 includes a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, and an output unit 15.

[0036] The control unit 11 includes at least one processor, at least one dedicated circuit, or a combination thereof. The processor is a general-purpose processor such as a CPU (central processing unit) or a GPU (graphics processing unit), or a dedicated processor specialized for a specific process. The dedicated circuit is, for example, an FPGA (field-programmable gate array) or an ASIC (application specific integrated circuit). The control unit 11 executes processes related to the operation of the information processing device 10 while controlling each unit of the information processing device 10. In this embodiment, the control unit 11 determines the possibility that the water detection by the water detection means 20 is an erroneous detection.

[0037] The storage unit 12 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or a combination of at least two of these. The semiconductor memory is, for example, a random access memory (RAM) or a read-only memory (ROM). The RAM is, for example, a static random access memory (SRAM) or a dynamic random access memory (DRAM). The ROM is, for example, an electrically erasable programmable read-only memory (EEPROM). The storage unit 12 functions as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 12 stores data used in the operation of the information processing device 10 and data obtained by the operation of the information processing device 10. In this embodiment, the storage unit 12 may store announcement information such as various warnings and advisories obtained from the weather information server 30.

[0038] The communication unit 13 includes at least one external communication interface. The communication interface may be either a wired or wireless communication interface. In the case of wired communication, the communication interface is, for example, a LAN (Local Area Network) interface or a USB (Universal Serial Bus). In the case of wireless communication, the communication interface is, for example, an interface compatible with mobile communication standards such as LTE (Long Term Evolution), 4G (4th generation), or 5G (5th generation), or an interface compatible with short-range wireless communication such as Bluetooth (registered trademark). The communication unit 13 receives data used in the operation of the information processing device 10 and transmits data obtained by the operation of the information processing device 10. In this embodiment, the communication unit 13 receives water detection information from the water detection means 20 and weather information from the weather information server 30.

[0039] The input unit 14 includes at least one input interface. The input interface may be, for example, a physical key, a capacitive key, a pointing device, or a touch screen integrated with a display. The input interface may also be, for example, a microphone that accepts voice input or a camera that accepts gesture input. The input unit 14 accepts an operation to input data used in the operation of the information processing device 10. The input unit 14 may be connected to the information processing device 10 as an external input device instead of being provided in the information processing device 10. Any connection method may be used, for example, a Universal Serial Bus (USB), a High-Definition Multimedia Interface (HDMI) (registered trademark), or Bluetooth (registered trademark). In this embodiment, the input unit 14 accepts an input operation from a user of the information processing device 10, and may input, for example, various condition values ​​indicating that the information processing device 10 is in a situation where flooding may occur.

[0040] The output unit 15 includes at least one output interface. The output interface is, for example, a display that outputs information as a video or a speaker that outputs information as an audio. The display is, for example, an LCD (liquid crystal display) or an organic EL (electroluminescence) display. The output unit 15 displays and outputs data obtained by the operation of the information processing device 10. The output unit 15 may be connected to the information processing device 10 as an external output device instead of being provided in the information processing device 10. Any connection method, such as USB, HDMI (registered trademark), or Bluetooth (registered trademark), can be used. In this embodiment, the output unit 15 may output, for example, a determination result of the possibility that the water submergence detection is an erroneous detection. Furthermore, when it is determined that the possibility that the water submergence detection is an erroneous detection is low, the output unit 15 may output information about the water submergence detection.

[0041] The functions of the information processing device 10 are realized by executing a program according to this embodiment on a processor corresponding to the control unit 11. That is, the functions of the information processing device 10 are realized by software. The program causes a computer to execute the operations of the information processing device 10, thereby causing the computer to function as the information processing device 10. That is, the computer functions as the information processing device 10 by executing the operations of the information processing device 10 in accordance with the program.

[0042] In this embodiment, the computer temporarily stores a program recorded on a portable recording medium or a program transmitted from a server in a main storage device. The computer then reads the program stored in the main storage device with a processor and executes processing in accordance with the read program with the processor. The computer may also read the program directly from a portable recording medium and execute processing in accordance with the program. The computer may also execute processing in accordance with the received program each time it receives a program from an external server. Programs include information used for processing by an electronic computer that is equivalent to a program. For example, data that is not a direct instruction to a computer but has properties that define computer processing falls under the category of "something equivalent to a program."

[0043] In this embodiment, the program can be recorded on a computer-readable recording medium. The computer-readable recording medium includes non-transitory computer-readable media, such as a magnetic recording device, an optical disc, a magneto-optical recording medium, or a semiconductor memory. The program can be distributed, for example, by selling, transferring, or lending a portable recording medium, such as a DVD (digital versatile disc) or a CD-ROM (compact disc read only memory), on which the program is recorded. The program can also be distributed by storing the program in the storage of an external server and transmitting the program from the external server to another computer. The program can also be provided as a program product.

[0044] (Configuration of water ingress detection means) Fig. 3 is a diagram showing an example of a water inundation detection means. Fig. 3 shows one example of the configuration of a water inundation sensor 21. The water inundation sensor 21 in Fig. 3 comprises a sensor unit 211 and a main body unit 212. The sensor unit 211 comprises, for example, an electrode 213, and detects water inundation when the electrode 213 comes into contact with the rising water surface. A signal indicating that water inundation has been detected is transmitted to the main body unit 212, for example, via a cable or a wireless line. The main body unit 212 comprises a processor, a power source, etc. (not shown), processes the signal from the sensor unit 211, and transmits information on the water inundation detection from an antenna 214 to the information processing device 10 at the center.

[0045] 3 shows the water intrusion sensor 21 having a separate sensor unit 211 and main body unit 212, the water intrusion sensor 21 may also have a structure in which the sensor unit 211 and main body unit 212 are integrated. Information from multiple sensor units 211 may be collected by a repeater, and information on water intrusion detection may be transmitted to the information processing device 10 at the center using a separate communication device. The structure of the water intrusion sensor 21 can be freely selected.

[0046] FIG. 4 is a diagram illustrating another example of a flood detection means. FIG. 4 illustrates an example configuration of a flood detection system 22. The flood detection system 22 in FIG. 4 includes an imaging device 221 and an image analyzing device 222. The imaging device 221 is, for example, a surveillance camera installed in an urban area, and a security camera may also be used. The imaging device 221 periodically or in response to an instruction from a management device (e.g., device 222) that controls the imaging device 221, captures images of the city and transmits the captured camera images to the device 222. The device 222 is, for example, a device equipped with a trained model that detects flooding from images captured by the imaging device 221, and analyzes the camera images to detect flooding using so-called AI (artificial intelligence) processing. The device 222 may be a server or a PC. For example, the device 222 identifies a flooded area (water surface) from the camera images based on the trained model, specifies its location information, and transmits it to the information processing device 10 as flood detection information. The device 222 may further acquire map information, overlay it on the area where flooding has been detected, and provide two-dimensional flooded area information to the information processing device 10. Note that the imaging device 221 needs to be installed near the location where flooding has occurred, but the device 222 that analyzes the images can be installed in any location (for example, near the information processing device 10, etc.).

[0047] (Weather information server configuration) The weather information server 30 may be configured similarly to the information processing device 10 shown in Fig. 2, and may include a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, and an output unit 15. The function of each unit is specialized for providing weather information, but the configuration is basically the same as that of the information processing device 10, so a description thereof will be omitted here.

[0048] Next, the weather information provided by the weather information server 30 will be described. The weather information includes, but is not limited to, special weather warnings, alerts, and advisories, designated river flood forecasts, flood warning risk distributions, heavy rain warning (flooding) risk distributions, and precipitation distribution forecasts. Each piece of information will be briefly described below.

[0049] Special weather warnings, alerts, and advisories are issued by the Japan Meteorological Agency in response to increasing weather-related dangers. Special warnings are issued when there is a significant risk of a major disaster, while advisories are forecasts that warn of the possibility of a major disaster. Advisories are forecasts that warn of the risk of a disaster, and weather advisories include advisories for wind and snow, strong winds, heavy rain, heavy snow, thunder, dryness, dense fog, frost, avalanches, low temperatures, snow accumulation, icing, and melting snow. Weather warnings and advisories are issued by secondary subdivision area (areas used to issue weather warnings and advisories). Secondary subdivision area units are generally based on cities, towns, and villages (including Tokyo's special wards), but some cities, towns, and villages may be divided into separate areas.

[0050] Designated River Flood Forecasts are flood forecasts issued by the Japan Meteorological Agency in collaboration with the Ministry of Land, Infrastructure, Transport and Tourism or prefectural agencies, indicating water levels or flow rates for specific sections of designated rivers. Designated River Flood Forecasts are classified into four categories: Flood Caution, Flood Warning, Flood Danger, and Flood Occurrence. They are announced with the name of the river attached, such as "XX River Flood Caution" or "YY River Flood Warning." Flood Occurrence Information is issued when a flood occurs. Flood Danger Information is issued when a rapid rise in water level will soon exceed the flood danger level and is expected to continue, or when the flood danger level is reached. Flood Warning Information is issued when the flood danger level is expected to be reached within a certain time, or when the evacuation decision level is reached and further rise is expected. Flood Warning Information is issued when the flood caution level is reached and further rise is expected, equivalent to Alert Level 2, which requires confirmation of evacuation action.

[0051] Flood warning risk distribution predicts the risk of flooding in each region. A typical example is the "Flood Kikikuru" issued by the Japan Meteorological Agency. Flood Kikikuru is a map that shows the increased risk of flooding in small and medium-sized rivers due to heavy rainfall, color-coded into five levels. Flood risk is divided into five levels: imminent disaster, danger, alert, caution, and attention to future information, with caution corresponding to alert level 2. Flood Kikikuru sets standards based on the values ​​of the basin rainfall index from past flood disasters, and by comparing these standards with the actual basin rainfall index, it grasps the increased risk of disaster. Flood Kikikuru's flood warning standards are set for each 1km square grid.

[0052] The risk distribution of heavy rain warnings (flooding) predicts the risk of flooding due to heavy rain in each region. A typical example is the "Flooding Kikikuru" issued by the Japan Meteorological Agency. The flooding Kikikuru shows the increased risk of flooding due to short-term heavy rainfall on a map, color-coding each 1km square area into five levels. The risk levels are divided into five levels: imminent disaster, danger, alert, caution, and attention to future information. Caution indicates a condition where the level of warning is expected to be reached within one hour. The flooding Kikikuru uses the surface rainfall index as the standard for grading the risk of flooding, and the standard is set by investigating the surface rainfall index during past flooding events.

[0053] Precipitation distribution forecasts are predictions of rainfall per unit time for each region. A typical example is the "High-Resolution Precipitation Nowcast" published by the Japan Meteorological Agency. High-resolution precipitation nowcasts use various data, such as weather radar observation data, to provide short-term precipitation forecasts at a resolution of 250m. High-resolution precipitation nowcasts provide current analysis and forecast data at 5-minute intervals every 5 minutes. Up to 30 minutes in advance, the distribution of precipitation amount and intensity over 5 minutes is forecast with a resolution of 250m square, and from 35 to 60 minutes in advance, rainfall is forecast with an accuracy of 1km square.

[0054] Although the weather information published by the Japan Meteorological Agency has been described above, the weather information used in this embodiment is not limited to this. In this embodiment, various weather information provided by private services can be used.

[0055] (Operation of information processing device) The operation of the information processing device 10 according to this embodiment will be described with reference to Fig. 5. Fig. 5 is a flowchart showing an example of a method executed by the information processing device 10 according to this embodiment.

[0056] Step S01: The control unit 11 of the information processing device 10 acquires water inundation detection information from the water inundation detection means 20 via the communication unit 13. It is desirable that the information processing device 10 stores the installation locations of each water inundation detection means 20 in the memory unit 12.

[0057] Step S02: The control unit 11 acquires weather information for the location or area where flooding was detected from the weather information server 30 or the like via the communication unit 13. The location or area where flooding was detected may be included in the flood detection information, or may be determined from the installation location of the flood detection means 20 that transmitted the flood detection information. The weather information to be acquired may be all of the above-mentioned weather information, or any selected weather information may be acquired. However, it is desirable to acquire multiple types of weather information. Note that the flowchart describes acquiring weather information after acquiring flood detection information, but this order is not limited to this. The information processing device 10 constantly acquires weather information for various locations, including the installation location of the flood detection means 20, and when it acquires flood detection information, it may select and extract weather information for the detection location. The acquired weather information may be stored, for example, in the memory unit 12.

[0058] Step S03: Based on the acquired weather information, the control unit 11 determines the possibility that the flood detection is an erroneous detection.

[0059] For example, when none of the acquired weather information data meets the conditions indicating that the location or area where flooding is detected is in a situation where flooding may occur, the control unit 11 determines that the flooding detection is likely to be an erroneous detection.

[0060] Various standards and methods can be used to determine whether a water intrusion detection is likely to be an erroneous detection. FIG. 6 is a flowchart showing an example of a process for determining whether a water intrusion detection is likely to be an erroneous detection. Note that the determination conditions set in each block of the flowchart are merely examples and can be adjusted as appropriate. The flowchart in FIG. 6 will now be described.

[0061] Step S11: When the acquired weather information is a special weather warning, alert, or advisory, the control unit 11 of the information processing device 10 determines that a flood warning / heavy rain warning or higher has been issued in the city, town, village, etc. (secondary subdivision area unit) where flooding was detected and that more than six hours have not passed since the warning was lifted.

[0062] If YES (more than six hours have not passed since the warning or higher level was lifted), the process proceeds to step S17. On the other hand, if NO (no announcement has been made or more than six hours have passed since the warning or higher level was lifted), the process proceeds to step S12.

[0063] The conditions in step S11 are not limited to those in this embodiment. The target alerts may be flood warnings / heavy rain warnings or higher, and the issuance of alerts of any level or higher may be used as the criterion. However, considering the importance of flood detection information, it is desirable to use an advisory alert as the criterion for determining whether or not a detection is erroneous. Furthermore, the elapsed time is not limited to six hours. It may be determined that five hours or more have not passed since a warning of a predetermined level or higher was issued and lifted in the city, town, village, etc. (secondary subdivision area unit) where flooding was detected, or that seven hours or more have not passed since a warning of a predetermined level or higher was issued and lifted. The elapsed time criteria can be set arbitrarily, depending on the situation, such as whether to make the criteria stricter or looser.

[0064] Therefore, when the acquired weather information is a special weather warning, alert, or advisory, the condition indicating that a situation is in which flooding may occur is that a warning of a specified level or higher has been issued in the area where flooding has been detected, and that a specified amount of time has not passed since the warning was lifted.

[0065] Step S12: When the acquired weather information is a designated river flood forecast, the control unit 11 determines whether a flood warning or higher level has been issued in the city or town where flooding was detected and more than six hours have not passed since the warning was lifted, or whether the location where flooding was detected is within 6 km of the river and a warning or higher level has been issued within the past six hours.

[0066] If the answer is YES (6 hours or more have not passed since the municipality lifted the flood warning or higher level, or a warning or higher level was issued within 6 hours within 6 km of the river), the process proceeds to step S17. On the other hand, if the answer is NO (no announcement has been made, or 6 hours or more have passed since the warning was lifted), the process proceeds to step S13.

[0067] The conditions for step S12 are not limited to those described in this embodiment. The target alerts may be river flood warning alerts or higher, and the issuance of alerts of any level or higher may be used as the criterion. However, considering the importance of flood detection information, it is preferable to use flood warning alerts as the criterion for determining whether a detection is false. Furthermore, the elapsed time is not limited to six hours. It may be determined that five hours or more have passed since a warning of a predetermined level or higher was issued and lifted in the municipality where flooding was detected, or that seven hours or more have passed since a warning of a predetermined level or higher was issued and lifted. The elapsed time criteria can be set appropriately depending on the situation, such as whether to make the criteria stricter or looser. In addition to municipal-level information, the distance between the flood detection location and the river (the distance range of the river from the flood detection location) is also important. The distance is not limited to within 6 km, but may be within 5 km or 7 km, for example. The criteria can be set appropriately depending on the situation, such as whether to make the criteria stricter or looser.

[0068] Therefore, when the acquired weather information is a designated river flood forecast, the conditions indicating that a situation in which flooding may occur are that a report of a predetermined level or higher has been issued in the area where flooding was detected and that a predetermined amount of time has not passed since the report was lifted, or that a report of a predetermined level or higher has been issued within a predetermined amount of time in an area within a predetermined range centered on the location where flooding was detected.

[0069] The determinations in steps S11 and S12 are made based on information on a municipality basis (and river information, if necessary). Meanwhile, the determinations in steps S13 to S15, which will be described later, are made based on information on each mesh divided into a certain area. Generally, in a given area, the number of municipalities is smaller than the number of meshes in steps S13 to S15. Therefore, the time required for the determinations in steps S11 and S12 is relatively short. Therefore, by first performing the determinations in steps S11 and S12, the throughput of this method can be improved.

[0070] Step S13: When the acquired weather information is a flood warning risk distribution, the control unit 11 determines whether or not a warning or higher warning has been issued within the past three hours within a 3 km square area centered on the location where flooding was detected. Since the flood warning risk distribution (Flood Warning Risk Distribution) has a risk level set for each 1 km square grid, the control unit 11 references the risk level in the area of ​​eight grids (3 km square) adjacent to the grid where flooding was detected.

[0071] If YES (a warning or worse has been issued within the past three hours within a 3km radius), the process proceeds to step S17. On the other hand, if NO (a warning or worse has not been issued within the past three hours), the process proceeds to step S14.

[0072] The conditions for step S13 are not limited to those in this embodiment. The target alerts may be alerts of warning level or higher, and the criteria can be any level or higher. However, considering the importance of flood detection information, it is desirable to use an advisory as the criterion for determining whether a detection is false. The area range for determination is a 3 km square area centered on the flood detection location based on a 1 km square grid, but it can also be set to a 5 km square area. Regarding the elapsed time, the area range centered on the flood detection location is set to be within the past 3 hours, but this is not limited to this. It may also be set to be within the past 2 hours or the past 4 hours. Regarding the elapsed time, the criteria can be set as desired depending on the situation, such as whether to make the criteria stricter or looser.

[0073] Therefore, when the acquired weather information is a flood warning risk distribution, the condition indicating that a situation is in which flooding may occur is that a report of a predetermined level or above has been issued within a predetermined time period in an area within a predetermined range centered on the location where flooding was detected.

[0074] Step S14: When the acquired weather information is a risk distribution of a heavy rain warning (flooding), the control unit 11 determines whether or not a warning or higher has been issued within the past three hours within a 3 km square area centered on the location where flooding was detected. Since the risk distribution of a heavy rain warning (flooding) (Flooding Kikkuru) has a risk level set for each 1 km square grid, the control unit 11 references the risk level in the area (3 km square) of eight grids adjacent to the grid where flooding was detected.

[0075] If YES (a warning or worse has been issued within the past three hours within a 3km radius), the process proceeds to step S17. On the other hand, if NO (a warning or worse has not been issued within the past three hours), the process proceeds to step S15.

[0076] The conditions for step S14 are not limited to those of this embodiment. The target alerts may be alerts of warning level or higher, and the criteria can be any level or higher. However, considering the importance of flood detection information, it is desirable to use an advisory as the criterion for determining whether a detection is false. The area range for determination is a 3 km square area centered on the flood detection location based on a 1 km square grid, but it can also be set to a 5 km square area. Regarding the elapsed time, the area range centered on the flood detection location is set to be within the past 3 hours, but this is not limited to this. It may also be set to be within the past 2 hours or the past 4 hours. Regarding the elapsed time, the criteria can be set as desired depending on the situation, such as whether to make the determination criteria stricter or looser.

[0077] Therefore, when the acquired weather information is a risk distribution of a heavy rain warning (flooding), the condition indicating that a situation is in which flooding may occur is that a report of a predetermined level or higher has been issued within a predetermined time period in an area within a predetermined range centered on the location where flooding was detected.

[0078] Step S15: When the weather information is a precipitation distribution forecast, the control unit 11 determines whether rainfall with a rainfall intensity of 30 mm / h or more has been announced within the past three hours in a 1.25 km square area centered on the location where flooding was detected. Since precipitation distribution forecasts (e.g., high-resolution nowcasts) provide short-term precipitation forecasts at a resolution of 250 m (every 250 m square grid), the control unit 11 references the rainfall forecast per unit time in a 5 x 5 grid area (1.25 km square) that is centered on the grid where flooding was detected and that is adjacent to and doubly surrounding it.

[0079] If YES (rainfall of 30 mm / h or more in a 1.25 km square area has been announced within the past three hours), the process proceeds to step S17. On the other hand, if NO (rainfall of 30 mm / h or more has not been announced within the past three hours), the process proceeds to step S16.

[0080] The conditions in step S15 are not limited to those in this embodiment. The reference rainfall may be a rainfall intensity of 20 mm / h or greater, or a forecast of any rainfall intensity or greater may be used as the reference. The area range for determination is set to a 1.25 km square (5 × 5 grid) centered on the flood detection location based on a 250 m square grid. However, it may be limited to a narrower area such as a 750 m square (3 × 3 grid) or a wider area such as a 1.75 km square (7 × 7 grid). Regarding the elapsed time, while the notification was set to be within the past three hours within the area centered on the flood detection location, this is not limited to this. Notification may be set to be within the past two hours or the past four hours. The elapsed time determination criteria can be set as desired, such as strict or lenient, depending on the situation. For example, the rainfall intensity threshold may be set based on the city's drainage capacity.

[0081] Therefore, when the acquired weather information is a precipitation distribution forecast, the condition indicating that a situation is in which flooding may occur is that a rainfall forecast of more than a specified rainfall amount per unit time has been announced within a specified time period in an area of ​​a specified range centered on the location where flooding was detected.

[0082] Step S16: The control unit 11 determines that the water submersion detection is likely to be an erroneous detection, and then ends the process.

[0083] Step S17: The control unit 11 determines that the water submersion detection is unlikely to be an erroneous detection, and then ends the process.

[0084] Therefore, when none of the acquired weather information data meets the conditions indicating that the location or area where flooding is detected is in a situation where flooding may occur (when all steps S11 to S15 are NO), the control unit 11 of the information processing device 10 determines that the flooding detection is likely to be an erroneous detection.

[0085] As described above, the method of this embodiment acquires water inundation detection information, acquires meteorological information for the location or area where water inundation was detected, and determines the possibility that the water inundation detection is a false detection based on the acquired meteorological information. In other words, the method of this embodiment improves the technology for determining false water inundation detection in that the reliability of the water inundation detection information is determined by combining various meteorological information for the location or area where water inundation was detected.

[0086] In this embodiment, the weather information includes multiple pieces of information from among emergency weather warnings, alerts, and advisories, designated river flood forecasts, flood warning risk distributions, heavy rain warning (flood damage) risk distributions, and precipitation distribution forecasts. In other words, this embodiment allows the reliability of flood detection information to be determined based on multiple pieces of weather information, enabling more accurate determinations. The determination of whether each piece of weather information satisfies the conditions may be performed in any order, and is not limited to the order shown in the flowchart of FIG. 6. Other information may also be used as weather information.

[0087] (Modification of the embodiment) A modified example of this embodiment will be described with reference to Fig. 7. Fig. 7 is a flowchart showing an example of a method executed by the information processing device 10 according to the modified example of this embodiment.

[0088] Step S21: The control unit 11 acquires weather information from the weather information server 30 or the like via the communication unit 13. The weather information to be acquired may be all of the above-mentioned weather information, or any weather information may be selected and acquired from among them, but it is desirable to acquire multiple types of weather information. It is desirable for the information processing device 10 to constantly acquire weather information for various locations, including the location where the flood detection means 20 is installed. The acquired weather information may be stored in the memory unit 12, for example.

[0089] Step S22: Based on the acquired weather information, the control unit 11 determines the possibility that the water inundation detection is an erroneous detection (if a water inundation detection is made, the possibility that the water inundation detection is an erroneous detection). This determination process is performed for each location or area where the water inundation detection means 20 is installed.

[0090] For example, when none of the acquired weather information data satisfies the conditions indicating that a situation in which flooding may occur, the control unit 11 determines that the flood detection is likely to be an erroneous detection.When any of the acquired weather information data in a certain location or area satisfies the conditions indicating that a situation in which flooding may occur, the control unit 11 determines that the flood detection obtained from that location or area is unlikely to be an erroneous detection.

[0091] There are various standards and methods for determining whether a water intrusion detection is likely to be an erroneous detection, but here, the determination process for determining whether a water intrusion detection is likely to be an erroneous detection is performed using the same determination process as in the flowchart shown in Figure 6. Note that the determination conditions set in each block of the flowchart in Figure 6 are just examples, and can be adjusted as described above as appropriate.

[0092] Step S23: The control unit 11 of the information processing device 10 acquires water inundation detection information from water inundation detection means 20 installed in locations or areas where the likelihood of false detection is low, via the communication unit 13. When acquiring the information, the control unit 11 may determine locations or areas where the likelihood of false detection of water inundation is low, and then activate the water inundation detection means 20 installed in those locations or areas to acquire information on the detection results of whether or not water is inundated. Alternatively, information on the detection results of whether or not water is inundated may be acquired from all installed water inundation detection means 20, and the detection results of the water inundation detection means 20 installed in locations or areas where the likelihood of false detection of water inundation is low may be adopted as the valid water inundation detection results.

[0093] As described above, according to the method of the modified embodiment of the present invention, weather information is acquired, and based on the acquired weather information, the possibility of a false water detection is determined. Then, water detection information is acquired from a water detection device that is unlikely to result in a false water detection. In other words, according to the method of the modified embodiment, the reliability of the water detection information is determined by comprehensively determining various weather information for the location or area of ​​the water detection device, thereby improving the technology for determining false water detection. Furthermore, according to the modified embodiment, the possibility of a false water detection is determined, and a water detection device 20 installed in a location or area that is unlikely to result in a false water detection is activated and information on the detection results is acquired. This allows the water detection device to be operated based on the weather information, which also produces secondary effects such as saving battery power for the water detection device 20, reducing data communication volume, and reducing server resources.

[0094] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art can easily make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions included in each means or step can be rearranged so as not to be logically inconsistent, and multiple means or steps can be combined or divided into one. [Explanation of symbols]

[0095] 10. Information processing equipment 11 Control section 12 Storage section 13 Communications Department 14 Input section 15 Output section 20 Water ingress detection means 21 Water ingress sensor 211 Sensor unit 212 Main body 213 Electrode 214 Antenna 22 Flood Detection System 221 Imaging device 222 Equipment 30 Weather Information Server 40 Network

Claims

1. Acquires water inundation detection information from the water inundation detection means; Obtaining meteorological information for the location or area where flooding has been detected; A control unit that determines the possibility that the flood detection is an erroneous detection based on the meteorological information. An information processing device comprising:

2. 2. The information processing device according to claim 1, The control unit of the information processing device determines that the flood detection is likely to be an erroneous detection when none of the acquired weather information data meets conditions indicating that the location or area where flooding was detected is in a situation where flooding may occur.

3. 3. The information processing device according to claim 2, The acquired weather information includes multiple pieces of information from the information processing device, including special weather warnings, alerts, and advisories, designated river flood forecasts, flood warning risk distribution, heavy rain warning (flooding) risk distribution, and precipitation distribution forecasts.

4. 4. The information processing device according to claim 3, When the acquired weather information is a special weather warning, alert, or advisory, the condition indicating that a situation is in which flooding may occur is that a warning of a predetermined level or higher has been issued in the area where flooding has been detected, and that a predetermined amount of time has not passed since the warning was lifted.

5. 4. The information processing device according to claim 3, When the acquired weather information is a designated river flood forecast, the conditions indicating that a situation is in which flooding may occur are that a report of a predetermined level or higher has been issued in the area where flooding was detected and that a predetermined amount of time has not passed since the report was lifted, or that a report of a predetermined level or higher has been issued within a predetermined amount of time in an area within a predetermined range centered on the location where flooding was detected.

6. 4. The information processing device according to claim 3, When the acquired weather information is a risk distribution of a flood warning or a risk distribution of a heavy rain warning (flooding), the condition indicating that a situation is in which flooding may occur is that a report of a predetermined level or higher has been issued within a predetermined time period in an area within a predetermined range centered on the location where flooding was detected, an information processing device.

7. 4. The information processing device according to claim 3, When the acquired weather information is a precipitation distribution forecast, the condition indicating that a situation is in which flooding may occur is that a rainfall forecast of more than a specified rainfall amount per unit time has been announced within a specified time period in an area of ​​a specified range centered on the location where flooding was detected, an information processing device.

8. 2. The information processing device according to claim 1, The control unit further notifies information about the water submergence detection when it determines that the water submergence detection is unlikely to be an erroneous detection.

9. 2. The information processing device according to claim 1, The information processing device, wherein the water ingress detection means is a water ingress sensor.

10. 2. The information processing device according to claim 1, The information processing device, wherein the water inundation detection means is a device equipped with an imaging device and a trained model that detects water inundation from images captured by the imaging device.

11. Get weather information, determining the likelihood of a false detection of flooding based on the meteorological information; A control unit that acquires water inundation detection information from a water inundation detection means that is unlikely to detect water inundation erroneously. An information processing device comprising:

12. A program that causes a computer to function as the information processing device according to any one of claims 1 to 10.

13. A program that causes a computer to function as the information processing device according to claim 11.

14. A method executed by an information processing device, acquiring water inundation detection information from a water inundation detection means; obtaining meteorological information for the location or area where flooding has been detected; determining, based on the meteorological information, the likelihood that the water intrusion detection is a false detection; A method comprising:

15. A method executed by an information processing device, Obtaining weather information; determining the likelihood of a false detection of water intrusion based on the meteorological information; Obtaining water ingress detection information from a water ingress detection means that is unlikely to result in an erroneous water ingress detection; A method comprising:

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