Management device, management method, and program

Abstract

SOLUTION: A management device comprises: an acquisition unit that acquires first measurement information from each of a plurality of first sensors which measures a physical amount related to an environment in each of a plurality of areas, and that acquires second measurement information from at least one second sensor that measures a physical amount related to the environment in each of the plurality of areas as at least one moving object moves, in which the second sensor is mounted on at least one moving object; a specifying unit that specifies an abnormal area where a physical amount shows an abnormal value among the plurality of areas based on each of the first measurement information and the second measurement information; and an authentication unit that authenticates that the first measurement information and the second measurement information are highly consistent when the abnormal area specified by the specifying unit based on the first measurement information and the abnormal area specified by the specifying unit based on the second measurement information are the same area.SELECTED DRAWING: Figure 4

Description

[Technical Field]

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

[0002] Patent Document 1 discloses a system for estimating how gases are distributed in the atmosphere. [Prior art document] [Patent documents] [Patent Document 1] International Publication No. 2022 / 077119 Summary of the Invention [Problem to be solved by the invention]

[0003] It is desirable to ensure consistency of measurement information between sensors with different measurement formats. [Means for solving the problem]

[0004] A management device according to one aspect of the present invention may include an acquisition unit that acquires first measurement information from a plurality of first sensors installed in each of a plurality of areas and that measures a physical quantity related to the environment of each of the plurality of areas, and acquires second measurement information from at least one second sensor mounted on at least one mobile object and that measures a physical quantity related to the environment of each of the plurality of areas as the at least one mobile object moves. Any of the management devices may include an identification unit that identifies an abnormal area among the plurality of areas in which the physical quantity exhibits an abnormal value based on each of the first measurement information and the second measurement information. The management device may include an authentication unit that certifies that the first measurement information and the second measurement information are highly consistent when the abnormal area identified by the identification unit based on the first measurement information and the abnormal area identified by the identification unit based on the second measurement information are the same area.

[0005] The management device may further include a generation unit that generates correction information for the reference values ​​of each of the plurality of first sensors based on the second measurement information, or generates correction information for the reference values ​​of the at least one second sensor based on the first measurement information, or generates correction information for the reference values ​​of the plurality of first sensors and the at least one second sensor based on the first measurement information and the second measurement information.

[0006] Any of the management devices may further include a communication control unit that transmits the correction information of each of the plurality of first sensors to each of the plurality of first sensors, or transmits the correction information of the at least one second sensor to the at least one second sensor.

[0007] In the management device, when the multiple first sensors have performed calibration, they may transmit first calibration information including a calibration date and time when the calibration was performed together with the first measurement information to the management device.When the at least one second sensor has performed calibration, they may transmit second calibration information including a calibration date and time when the calibration was performed together with the second measurement information to the management device.The generation unit may determine whether to generate correction information for the reference values ​​of each of the multiple first sensors or generate correction information for the reference value of the at least one second sensor based on at least one of the first calibration information and the second calibration information.

[0008] Any of the management devices may further include a registration unit that registers, in a storage unit, identification information of the first sensor that provided the first measurement information or identification information of the second sensor that provided the second measurement information when a difference between the physical quantity based on the first measurement information of each of the plurality of first sensors and the physical quantity based on the second measurement information of at least one second sensor in the same area among the plurality of areas is greater than a predetermined difference.

[0009] In any of the management devices, the registration unit calculates a deviation α of a physical quantity x obtained from the first measurement information of the plurality of first sensors and the second measurement information of the at least one second sensor in the same area during a predetermined period, where μ is an average value of the physical quantity x and σ is a standard deviation of the physical quantity x, and the deviation α is calculated as (x-μ) 2 / σ 2 In this case, when the degree of deviation α is equal to or greater than a specific value, the identification information of the first sensor or the second sensor that measured the physical quantity x may be registered in the storage unit.

[0010] Any of the management devices may include an identification unit that identifies an abnormal area among the plurality of areas in which the physical quantity indicates an abnormal value based on the first measurement information or the second measurement information. When either the physical quantity based on first measurement information from a first sensor in the abnormal area among the plurality of first sensors or the physical quantity based on second measurement information from at least one second sensor in the abnormal area does not indicate an abnormal value, the management device may include a registration unit that registers identification information of the first sensor that provided the first measurement information that does not indicate an abnormal value or the second sensor that provided the second measurement information in a storage unit.

[0011] Any of the management devices may further include an identifying unit that identifies an abnormal area among the plurality of areas in which the physical quantity exhibits an abnormal value based on the first measurement information. The management device may further include an instructing unit that instructs the at least one second sensor to transmit second measurement information of the abnormal area.

[0012] Any of the management devices may further include an authentication unit that certifies that the first measurement information and the second measurement information are highly consistent when a difference between a physical quantity based on the first measurement information and a physical quantity based on the second measurement information for the same area is within a predetermined range. The same area may be determined, for example, when at least a portion of an abnormal area identified based on the first measurement information and an abnormal area identified based on the second measurement information overlap.

[0013] In any one of the management devices, the physical quantity may be an outflow amount of gas.

[0014] Any of the management devices may include an output unit that, when the physical quantity based on the first measurement information of a first sensor in the abnormal area among the plurality of first sensors does not indicate an abnormal value, outputs an alert signal to a terminal that manages the first sensor that provided the first measurement information that does not indicate an abnormal value.

[0015] Any of the management devices may include an identifying unit that identifies an abnormal area among the plurality of areas in which the physical quantity exhibits an abnormal value based on the second measurement information. The management device may include an instructing unit that instructs a first sensor among the plurality of first sensors that performs measurement at a first sampling rate within the abnormal area to perform measurement at a second sampling rate different from the first sampling rate.

[0016] In any of the management devices, the acquisition unit may acquire, as the first measurement information, statistical information obtained by statistically processing physical quantities related to the environment of each of the plurality of areas from each of the plurality of first sensors. The management device may include an identification unit that identifies an abnormal area among the plurality of areas in which the physical quantity indicates an abnormal value based on the first measurement information. The management device may include an instruction unit that instructs a first sensor in the abnormal area among the plurality of first sensors to transmit third measurement information having a data amount different from that of the first measurement information.

[0017] In any of the management devices, the at least one moving body may be at least one of an unmanned aerial vehicle and an artificial satellite.

[0018] A management system according to an aspect of the present invention may include the management device, the plurality of first sensors, and the at least one mobile object.

[0019] A management method according to one aspect of the present invention may include a step of: an acquisition unit acquiring first measurement information from each of a plurality of first sensors installed in a plurality of areas and measuring a physical quantity related to the environment of each of the plurality of areas; and acquiring second measurement information from at least one second sensor mounted on at least one mobile object and measuring a physical quantity related to the environment of each of the plurality of areas by movement of the at least one mobile object. The management method may include a step of an identification unit identifying an abnormal area among the plurality of areas in which the physical quantity exhibits an abnormal value based on each of the first measurement information and the second measurement information. The management method may include a step of an authentication unit authenticating that the first measurement information and the second measurement information are highly consistent, when the abnormal area identified by the identification unit based on the first measurement information and the abnormal area identified by the identification unit based on the second measurement information are the same area.

[0020] A program according to one aspect of the present invention, when executed by a computer, may cause the computer to acquire first measurement information from each of a plurality of first sensors installed in a plurality of areas and measuring physical quantities related to the environments of the respective areas, and acquire second measurement information from at least one second sensor mounted on at least one mobile object and measuring physical quantities related to the environments of the respective areas as the at least one mobile object moves. When executed by the computer, the program may cause the computer to identify an abnormal area among the plurality of areas in which the physical quantity exhibits an abnormal value, based on each of the first measurement information and the second measurement information. When the abnormal area identified in the identifying step based on the first measurement information and the abnormal area identified in the identifying step based on the second measurement information are the same area, the program may cause the computer to verify that the first measurement information and the second measurement information are highly consistent.

[0021] The above summary of the invention does not list all of the features of the present invention, and subcombinations of these features may also be inventions. [Brief explanation of the drawings]

[0022] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of a management system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a diagram illustrating an example of a functional block of a fixed sensor. [Figure 3] FIG. 2 illustrates an example of functional blocks of a management device. [Figure 4] 10 is a flowchart illustrating an example of a procedure for transmitting correction information to a sensor to be calibrated. [Figure 5] 10 is a flowchart illustrating an example of a procedure for registering identification information of a possibly defective fixed sensor in a storage unit. [Figure 6]10 is a flowchart illustrating an example of a procedure for outputting an alert signal when a potentially defective stationary sensor is present. [Figure 7] 10 is a flowchart illustrating an example of a procedure for changing the measurement conditions of a fixed sensor installed in an abnormal area. [Figure 8] FIG. 2 illustrates an example of a hardware configuration. DETAILED DESCRIPTION OF THE INVENTION

[0023] The present invention will be described below through embodiments of the invention, but the following embodiments do not limit the scope of the invention according to the claims. Furthermore, not all of the combinations of features described in the embodiments are necessarily essential to the solution of the invention.

[0024] 1 is a diagram showing an example of the overall configuration of a management system 10 according to this embodiment. The management system 10 includes a plurality of stationary sensors 100, a UAV 60, a satellite 80, and a management device 200. The management device 200 may be a computer including a CPU and memory, and the CPU may execute various programs stored in the memory to perform various functions. The stationary sensors 100, the UAV 60, the satellite 80, and the management device 200 communicate with each other via a network 30.

[0025] Each of the multiple fixed sensors 100 is placed in each of the multiple areas 50 to be monitored. The multiple areas 50 are, for example, areas where an object to be measured by the fixed sensor 100 may be present. The multiple areas 50 may partially overlap. The fixed sensor 100 is an example of a first sensor.

[0026] The fixed sensor 100 measures physical quantities related to the environment of the area 50. The fixed sensor 100 may measure at least one of the gas concentration, dust amount, temperature, humidity, noise, illuminance, vibration, electromagnetic waves, X-ray dose, radiation dose, wind direction, wind speed, air pressure, rainfall, solar radiation, and ozone concentration of the measurement target in the area 50. Each physical quantity may be associated with the time of measurement and location coordinates.

[0027] The multiple areas 50 may be, for example, a pipeline, and the fixed sensor 100 may be a gas sensor that detects gas leaks of gas passing through the pipeline. When the fixed sensor 100 is a gas sensor, the gas concentration of the target gas may be measured according to a non-dispersive infrared absorption method, a tunable diode laser absorption spectroscopy (TDLAS) method, a differential absorption LiDAR (DIAL) method, a time-correlated single photon counting (TCSPC) method, a photoacoustic method, a semiconductor method, a solid electrolyte method, a thermal conductivity method, an acoustic wave method, an optical gas imaging method, or a capacitance method. The target gas may be carbon dioxide, water, or oxygen. The target gas may be a combustible gas such as methane, propane, ethanol, hydrogen, ethylene, or MCH (methylcyclohexane). The target gas may be a toxic gas such as carbon monoxide, hydrogen sulfide, formaldehyde, or ammonia. The gas to be measured may be a greenhouse gas such as carbon dioxide, nitrous oxide, or a refrigerant gas.

[0028] The fixed sensor 100 may be a dust sensor, a temperature and humidity sensor, a noise sensor, an illuminance sensor, a vibration sensor, an electromagnetic wave measuring instrument, an X-ray measuring instrument, a radiation measuring instrument, a LiDAR (Light Detection and Ranging), a radar, a visible light imaging device, an infrared light imaging device, a barometric pressure sensor, an airflow inspection instrument, etc. The fixed sensor 100 may also be equipped with a clock and a position sensor.

[0029] An unmanned aerial vehicle (UAV) 60 is an example of a moving body. A moving body is a concept that includes an aircraft moving in the air, a vehicle moving on the ground, a ship moving on water, etc. An aircraft moving in the air is a concept that includes, in addition to a UAV, other aircraft, airships, helicopters, etc. that move in the air. The UAV 60 is equipped with a sensor 62. The sensor 62 is an example of a second sensor. The functions of the sensor 62 and the sensor 82 may be the same as those of the fixed sensor 100. The sensor 62 may be the same as that of the fixed sensor 100. In other words, the UAV 60 may be equipped with the same sensor as that of the fixed sensor 100 as the sensor 62. The unmanned aerial vehicle (UAV) 60 may also be equipped with a clock and a position sensor.

[0030] The artificial satellite 80 is an example of a moving body. The artificial satellite 80 is equipped with a sensor 82. The sensor 82 is an example of a second sensor. The sensor 82 may measure the same physical quantity as that measured by the stationary sensor 100. The sensor 82 may be a gaseous component observation sensor such as an OMI (Ozone Monitoring Instrument) sensor. The sensor 82 may be a passive sensor that observes visible light, infrared rays, microwaves, etc. reflected or emitted from the ground, ocean, or atmosphere, or an active sensor that irradiates electromagnetic waves toward an observation target and observes the reflected waves. The artificial satellite 80 may also be equipped with a clock and a position sensor.

[0031] The management device 200 collects measurement information based on measurement data measured by a plurality of fixed sensors 100 , a sensor 62 of a UAV 60 , and a sensor 82 of an artificial satellite 80 .

[0032] In such a management system 10, it is desirable to ensure consistency of measurement information between sensors with different measurement formats.

[0033] FIG. 2 is a diagram showing an example of functional blocks of the fixed sensor 100. As shown in FIG.

[0034] The fixed sensor 100 includes a control unit 110, a memory unit 120, a communication unit 130, and a measurement unit 140.

[0035] The control unit 110 may be configured with a microprocessor such as a CPU or MPU, a microcontroller such as an MCU, or the like. The measurement unit 140 measures physical quantities related to the environment in the area 50. The storage unit 120 stores programs and the like for implementing processing executed by the control unit 110 so that the fixed sensor 100 measures the physical quantities and transmits the measurement information to the management device 200. The storage unit 120 stores measurement data measured by the measurement unit 140 or measurement information based on the measurement data. The communication unit 130 includes a communication interface and communicates with the management device 200 via the network 30.

[0036] The measuring unit 140 measures a physical quantity related to the environment in the area 50 at predetermined intervals, for example, at intervals of at least once every 60 seconds. The measuring unit 140 may include an emitter that emits infrared light and a light receiver that receives infrared light that has passed through the gas to be measured, and may measure the gas concentration of the gas by utilizing the infrared absorption characteristics of the gas to be measured. The measuring unit 140 may measure the concentration of the gas in the area 50 as a physical quantity related to the environment. The measuring unit 140 may measure measurement data indicating the gas concentration of gas leaking from a pipeline in the area 50.

[0037] The control unit 110 includes a measurement information generation unit 111 and a communication control unit 112. The measurement information generation unit 111 generates first measurement information by performing statistical processing on the measurement data measured by the measurement unit 140. The measurement information generation unit 111 may generate, as the first measurement information, statistical information including at least one of an average value, a maximum value, a minimum value, a variance, a moment, and a histogram from the measurement data.

[0038] The communication control unit 112 controls the communication unit 130 to transmit the first measurement information to the management device 200.

[0039] The calibration unit 114 calibrates the fixed sensor 100. The characteristics of the fixed sensor 100 may change over time. For example, if the fixed sensor 100 is an optical element and a gas sensor such as a CO2 (carbon dioxide) sensor that uses a non-dispersive infrared absorption method to measure gas concentration using infrared light, the characteristics of the optical element may change over time. For this reason, the fixed sensor 100 performs calibration to correct the measurement accuracy.

[0040] The calibration unit 114 may perform calibration based on the gas concentration calculated by itself and a predetermined reference gas concentration in the area 50. The calibration unit 114 may perform calibration by correcting the reference value (baseline value) of the gas concentration based on correction information provided by the management device 200 (described later). When the gas concentration in the area 50 satisfies the condition for it to become the reference gas concentration, the calibration unit 114 may correct a coefficient used to calculate the gas concentration so that the gas concentration calculated by itself matches the reference gas concentration. The fixed sensor 100 may correct a coefficient so that the minimum value of the gas concentration calculated by itself within a predetermined period matches the reference gas concentration. The predetermined period may be a period during which the gas concentration of the target gas is likely to be lowest. For example, it may be a period during which operation of a device that may generate gas is stopped.

[0041] The storage unit 120 may store calibration information including at least one of the calibration time when calibration should be performed by the calibration unit 114, the date and time of calibration performed by the calibration unit 114, the calibration method, and information about the person who performed the calibration. The calibration method is a method of calibration performed by the calibration unit 114. The calibration method may indicate, for example, that calibration should be performed during a period when the gas concentration of the target gas is likely to be lowest. The calibration method may indicate, for example, a period that takes into account weather conditions and the like, during which gas concentration measurement by the fixed sensor 100 can be performed stably.

[0042] The communication control unit 112 may transmit the calibration information together with the first measurement information to the management device 200. The calibration method may indicate at least one of the type of gas to be measured, concentration, concentration points, traceability system, concentration accuracy, gas components, gas purchase date / calibration certificate issuance date, gas distributor, gas purchaser, container code number, gas expiration date, type of adjustment parameter (e.g., zero, span, offset, sensitivity), environmental information at the time of calibration (temperature, humidity, air pressure, and date and time), and residual pressure of the calibration gas.

[0043] 3 is a diagram showing an example of functional blocks of the management device 200. The management device 200 includes a control unit 210, a storage unit 220, and a communication unit 230. The control unit 210 may be configured by a microprocessor such as a CPU or an MPU, or a microcontroller such as an MCU. The storage unit 220 is a database that stores various pieces of measurement information collected from each of the fixed sensors 100, the sensor 62, and the sensor 82. The communication unit 230 includes a communication interface and communicates with the fixed sensor 100 via the network 30.

[0044] The control unit 210 includes an acquisition unit 211 , a generation unit 212 , a communication control unit 213 , an identification unit 214 , a registration unit 215 , an alert output unit 216 , an instruction unit 217 , and an authentication unit 218 .

[0045] The acquisition unit 211 acquires fixed measurement information from each of the multiple fixed sensors 100 that measure physical quantities related to the environment of each of the multiple areas 50. The fixed measurement information is an example of first measurement information. Furthermore, the acquisition unit 211 acquires UAV measurement information from the sensor 62 of the UAV 60, indicating physical quantities related to the environment of the multiple areas 50 measured by the sensor 62 as the UAV 60 moves. The acquisition unit 211 acquires satellite measurement information indicating physical quantities related to the environment of the multiple areas 50 measured by the sensor 82 of the artificial satellite 80. The UAV measurement information and the satellite measurement information are examples of second measurement information measured by a sensor mounted on a mobile object. The UAV measurement information and the satellite measurement information may be distribution information indicating the distribution of physical quantities related to the environment in the multiple areas 50. The UAV measurement information and the satellite measurement information may be, for example, distribution information indicating the distribution of gas concentrations of a specific gas in the multiple areas 50.

[0046] The generation unit 212 generates correction information for the reference values ​​of each of the multiple stationary sensors 100 based on UAV measurement information or satellite measurement information. Alternatively, the generation unit 212 generates correction information for the reference values ​​of the sensor 62 or the sensor 82 based on multiple pieces of stationary measurement information. The generation unit 212 identifies the minimum value of a physical quantity related to the environment from the UAV measurement information or the satellite measurement information. The generation unit 212 identifies the minimum value of each piece of stationary measurement information from the stationary measurement information of each stationary sensor 100. The minimum value of each piece of stationary measurement information is a value measured by the stationary sensor 100 during a predetermined period when the physical quantity of the target is likely to be lowest. The stationary measurement information may be assigned a specific flag so that the measurement value during the predetermined period when the physical quantity of the target is likely to be lowest can be identified. The generation unit 212 may generate, as correction information for the stationary sensor 100, the sensor 62, or the sensor 82, the difference between the minimum value of the physical quantity identified from the UAV measurement information or the satellite measurement information and the minimum value of the physical quantity identified from the stationary measurement information. Whether the correction information is used to calibrate the fixed sensor 100, the sensor 62, or the sensor 82 may be determined in advance based on the accuracy of the physical quantity measured by each sensor, depending on the characteristics of the environment in which the fixed sensor 100, the sensor 62, or the sensor 82 measures the physical quantity.

[0047] The generation unit 212 may determine that a sensor among the fixed sensor 100, the sensor 62, or the sensor 82 that has not transmitted measurement information together with calibration information indicating that calibration is being performed is a sensor to be calibrated, and generate correction information for the sensor to be calibrated. Furthermore, the generation unit 212 may determine that a sensor among the fixed sensor 100, the sensor 62, or the sensor 82 that is lower in the traceability system diagram in the calibration information is a sensor to be calibrated, and generate correction information for the sensor to be calibrated based on calibration information that is higher in the traceability system diagram in the calibration information.

[0048] If the calibration target is the fixed sensor 100, the communication control unit 213 transmits the correction information of each of the multiple fixed sensors 100 to each of the multiple fixed sensors 100. If the calibration target is the sensor 62 or the sensor 82, the communication control unit 213 transmits the correction information of the sensor 62 or the sensor 82 to the sensor 62 or the sensor 82.

[0049] When the acquisition unit 211 acquires calibration information from the sensor 62 or the sensor 82 along with the UAV measurement information or the satellite measurement information, but has not acquired calibration information from the fixed sensor 100, the generation unit 212 may generate correction information for the reference value of each of the multiple stationary sensors 100 based on the UAV measurement information or the satellite measurement information. On the other hand, when the acquisition unit 211 acquires calibration information from the stationary sensor 100 along with the fixed measurement information, but has not acquired calibration information from the sensor 62 or the sensor 82, the generation unit 212 may generate correction information for the reference value of the sensor 62 or the sensor 82 based on the multiple pieces of stationary measurement information.

[0050] If the acquisition unit 211 acquires calibration information along with the fixed measurement information from the fixed sensor 100, and also acquires calibration information from the sensor 62 or the sensor 82, the generation unit 212 may determine that the sensor with the oldest calibration date and time is the sensor to be calibrated.

[0051] When the fixed sensor 100, the sensor 62, or the sensor 82 receives the correction information from the management device 200, it calibrates the reference value based on the correction information.

[0052] The identification unit 214 identifies an abnormal area among the multiple areas 50 where a physical quantity or statistical information quantity indicates an abnormal value, based on the UAV measurement information or satellite measurement information. In identifying the abnormal area, past physical quantities or statistical information quantities of the multiple areas 50 stored in the storage unit 200 may be used. When a physical quantity based on the fixed measurement information of a fixed sensor 100 in an abnormal area among the multiple stationary sensors 100 does not indicate an abnormal value, the registration unit 215 registers in the storage unit 220 the identification information of the fixed sensor 100 that provided the fixed measurement information that does not indicate an abnormal value, or the UAV 60 or the artificial satellite 80. Registration may mean registering the identification information, or the presence or absence of an abnormal value and an abnormality, in the storage unit 220.

[0053] When there is a discrepancy between the measurement information of the multiple stationary sensors 100 and the UAV measurement information or the satellite measurement information in the same area of ​​the multiple areas 50, the registration unit 215 registers the identification information of the stationary sensors 100 and the UAV 60 or the artificial satellite 80 in the storage unit 220. When the difference between the physical quantity based on the measurement information of the multiple stationary sensors 100 and the physical quantity based on the UAV measurement information or the satellite measurement information is larger than a predetermined difference, the registration unit 215 may register the identification information of the stationary sensors 100 and the UAV or the satellite in the storage unit 220. More specifically, using the Hotelling theory, for a physical quantity x obtained from the measurement information of the multiple stationary sensors 100 and the UAV measurement information or the satellite measurement information in the same area over a certain period of time, the average value of the physical quantity x is μ, the standard deviation of the physical quantity x is σ, and the degree of discrepancy α is calculated as (x-μ) 2 / σ 2In this case, if the deviation α is equal to or greater than a specific value, the identification information of the fixed sensor 100, the sensor 62, or the sensor 82 that measured the physical quantity x may be registered in the storage unit 220, and the specific value may be 9 or 36. The same area means, for example, that if at least a portion of the area of ​​an abnormal area identified based on the fixed measurement information of the fixed sensor 100 overlaps with that identified based on the UAV measurement information of the UAV 60 or the satellite measurement information of the artificial satellite 80, the abnormal areas based on the fixed measurement information and the UAV measurement information or the satellite measurement information may be determined to be the same area.

[0054] For example, if the fixed sensor 100 malfunctions or is improperly configured, it may not be able to correctly measure physical quantities related to the environment of the area 50, and may not be able to detect abnormal values. By storing in the storage unit 220 the identification information of the fixed sensor 100 that may be experiencing such a malfunction, it is possible to easily identify the malfunctioning fixed sensor 100.

[0055] When the physical quantity based on the fixed measurement information of a fixed sensor 100 in an abnormal area among the multiple fixed sensors 100 does not indicate an abnormal value, the alert output unit 216 outputs an alert signal to the terminal that manages the fixed sensor 100 that provided the fixed measurement information that does not indicate an abnormal value. The alert signal may include a message that prompts inspection of the fixed sensor 100. The alert signal may include a message that prompts calibration of the fixed sensor 100.

[0056] When the identification unit 214 identifies an abnormal area among the multiple areas where a physical quantity exhibits an abnormal value based on the UAV measurement information or satellite measurement information, the instruction unit 217 may instruct the multiple stationary sensors 100 that perform measurements at a first sampling rate within the abnormal area to perform measurements at a second sampling rate different from the first sampling rate. The instruction unit 217 may instruct the multiple stationary sensors 100 that perform measurements at the first sampling rate within the abnormal area to perform measurements at a second sampling rate higher than the first sampling rate. Specifically, the first sampling rate may be once every 30 seconds, and the second sampling rate may be once every 10 seconds or less. This allows the stationary sensors 100 installed in areas where an abnormality may occur to measure environmental physical quantities in more detail than usual. Since the stationary sensors 100 only need to increase their sampling rate for a specific period, power consumption of the stationary sensors 100 can be reduced.

[0057] The acquiring unit 211 may acquire, as fixed measurement information, statistical information obtained by statistically processing physical quantities related to the environment of each of the multiple areas 50 from each of the multiple fixed sensors. When the identifying unit 214 identifies an abnormal area among the multiple areas where the physical quantity indicates an abnormal value based on the fixed measurement information, the instructing unit 217 may instruct the fixed sensors 100 in the abnormal area among the multiple fixed sensors 100 to transmit measurement information with a different amount of data than the fixed measurement information, which is statistical information. When the identifying unit 214 identifies an abnormal area among the multiple areas where the physical quantity indicates an abnormal value based on the fixed measurement information, the instructing unit 217 may instruct the fixed sensors 100 in the abnormal area among the multiple fixed sensors 100 to transmit detailed measurement information with a larger amount of data than the fixed measurement information, which is statistical information. In this case, the fixed sensor 100 may transmit to the management device 200 measurement information that contains more information than statistical information, such as raw data that has not been subjected to statistical processing, as well as at least one of the remaining battery charge of the fixed sensor 100, ambient temperature, humidity, air pressure, wind direction, wind volume, operating time, communication history, calibration history, and maintenance history.

[0058] The identification unit 214 identifies an abnormal area among the multiple areas where a physical quantity exhibits an abnormal value, based on the fixed measurement information from the multiple fixed sensors 100. When the identification unit 214 identifies an abnormal area, the instruction unit 217 may instruct the sensor 62 of the UAV 60 or the sensor 82 of the artificial satellite 80 to measure a physical quantity related to the environment in the abnormal area. Furthermore, the instruction unit 217 may instruct the UAV 60 or the artificial satellite 80 to transmit UAV measurement information or satellite measurement information, or statistical information based on the UAV measurement information or satellite measurement information.

[0059] The generating unit 212 generates macro statistical information by further statistically processing the stationary measurement information, which is a plurality of pieces of statistical information from the plurality of stationary sensors 100. The generating unit 212 may generate a histogram of physical quantities related to the environment of each area 50 as the macro statistical information, based on the plurality of pieces of stationary measurement information from the plurality of stationary sensors 100. The generating unit 212 may generate a variance value of each piece of stationary measurement information as the macro statistical information. The identifying unit 214 may identify an abnormal area from the plurality of areas 50 based on the result of the macro statistical processing. The identifying unit 214 may identify an area 50 whose physical quantity has a difference of at least a threshold value from the physical quantity of another area 50 as an abnormal area, based on the histogram or the variance value.

[0060] The generation unit 212 may generate distribution information of physical quantities in the area 50 in which each of the multiple stationary sensors 100 is located, based on stationary measurement information collected as statistical information from the multiple stationary sensors 100. The generation unit 212 may identify the location of each stationary sensor 100 by referring to a map, and generate distribution information indicating the distribution of gas concentrations in a wide area including the multiple areas 50. When generating the gas concentration distribution information, the generation unit 212 may generate the gas concentration distribution information by data assimilating the stationary measurement information obtained from the multiple stationary sensors 100 and the results of a numerical weather forecast model and fluid simulation using a four-dimensional variational method or the like. The identification unit 214 may identify an abnormal area in which an abnormality has occurred within the wide area including the area 50 in which each of the multiple stationary sensors 100 is located, based on the distribution information.

[0061] The identification unit 214 may identify an area 50 in which a physical quantity related to the environment of each area 50 is equal to or greater than a predetermined threshold, for example, based on a plurality of pieces of fixed measurement information from the fixed sensors 100, or UAV measurement information, or satellite measurement information. When a physical quantity related to the environment of each area 50 indicates a value equal to or greater than a predetermined threshold, for example, based on at least one of a plurality of pieces of fixed measurement information from the fixed sensors 100, or UAV measurement information, or satellite measurement information, the identification unit 214 may estimate the amount of generation and location information of the physical quantity at the source of generation, and may identify the area 50 in which the location information is located as an abnormal area.

[0062] The identification unit 214 may estimate the source of a physical quantity by using, for example, an inverse analysis model, a statistical model, an atmospheric diffusion model, or a machine learning model that indicates the relationship between a physical quantity related to the environment of each area 50 and the source of the physical quantity. Furthermore, the identification unit 214 may estimate the source of a physical quantity by using a time inverse analysis using a particle method or a reverse trajectory analysis method.

[0063] Time inverse analysis using the particle method may be a method of estimating the location of a gas leak by calculating the behavior of particles by going backward in time using the particle method based on the concentration of the gas being measured based on at least one of the first measurement information or the second measurement information, and environmental information including at least wind direction and wind speed.

[0064] The identification unit 214 may generate a flow field and particles around at least one of the multiple fixed sensors 100, the UAV 60, and the satellite 80 based on the environmental information, estimate the past positions of the particles by going back in time, and estimate the gas leak position. For example, the particles may be gas molecules of the gas to be measured. For example, the flow field may be a gas flow field that fluctuates depending on wind direction and wind speed.

[0065] The identifying unit 214 derives the gas concentration distribution based on environmental information including at least the position of a measurement point of gas released and diffusing into the atmosphere, the gas concentration of the gas, and the wind direction and wind speed. Assuming that gas is released from one gas leak position, the identifying unit 214 derives the gas concentration distribution according to the wind direction and wind speed from the gas leak position according to a calculation model such as a plume model. The identifying unit 214 estimates the gas leak position based on the gas concentration distribution derived according to the calculation model and the gas concentration distribution derived based on the environmental information. The identifying unit 214 may estimate the gas leak position as the assumed gas leak position in the gas concentration distribution most similar to the gas concentration distribution derived based on the environmental information, among the gas concentration distributions derived according to the calculation model.

[0066] When the communication control unit 213 receives calibration information from each sensor along with the fixed measurement information, UAV measurement information, or satellite measurement information, the authentication unit 218 certifies that the fixed measurement information, UAV measurement information, or satellite measurement information is information about the environment of the target area 50, based on the fixed measurement information, UAV measurement information, or satellite measurement information and the calibration information. The authentication unit 218 may determine, based on the calibration information, whether the fixed measurement information, UAV measurement information, or satellite measurement information is information transmitted from a correctly calibrated fixed sensor 100. Authentication may mean ensuring that the obtained information has a high degree of consistency.

[0067] Furthermore, the identification unit 214 may identify an abnormal area among the multiple areas 50 in which a physical quantity exhibits an abnormal value, based on each of the fixed measurement information and the UAV measurement information or the satellite measurement information. When the abnormal area identified by the identification unit 214 based on the fixed measurement information and the abnormal area identified based on the UAV measurement information or the satellite measurement information are the same area, the authentication unit 218 may certify that the stationary measurement information and the UAV measurement information or the satellite measurement information are highly consistent. In other words, when the identification unit 214 identifies an abnormal area based on the fixed measurement information of the fixed sensor 100 and also identifies an abnormal area based on the UAV measurement information from the sensor 62 of the UAV 60 or the satellite measurement information from the sensor 82 of the artificial satellite 80, the authentication unit 218 may certify that the stationary measurement information and the UAV measurement information or the satellite measurement information are highly consistent. Furthermore, the authentication unit 218 may certify that the consistency between the fixed measurement information and the UAV measurement information or satellite measurement information is high when the difference between the physical quantity based on the fixed measurement information and the physical quantity based on the UAV measurement information or satellite measurement information for the same area is within a predetermined range. For example, the authentication unit 218 may certify that the consistency between the gas outflow amount information is high when the gas outflow amount calculated based on the fixed measurement information from the fixed sensor 100 is equivalent to the gas outflow amount calculated based on the UAV measurement information from the sensor 62 of the UAV 60 or the satellite measurement information from the sensor 82 of the artificial satellite 80 for the same area. Here, "equivalent" means, for example, that the error between the gas outflow amount based on the fixed measurement information and the gas outflow amount based on the UAV measurement information or the satellite measurement information is ±50%.

[0068] Certification here may mean, for example, a certification body certifying that the recorded measurement information, measurement method, or calculation process meets the prescribed procedures or standards set forth in the MMRV standard, ISO standard, legal requirements, international guidelines, etc., and that the consistency of each measurement information is high. Here, the certification body may be an organization capable of objective evaluation, such as a third-party organization independent of the reporting entity, a government agency, an international organization, or a specific business entity.

[0069] The organization may, for example, check whether the measuring equipment or measurement method used by the reporter has sufficient accuracy or reproducibility, and whether the measuring equipment calibration information, measurement frequency, measurement range, data processing method, data conversion method, or uncertainty assessment is appropriate, and may certify the content of the report by the reporter. The organization may, for example, issue a predetermined electronic certificate to at least one of the reporter or the report content to certify the reliability of the report content. The reporter may, for example, be a gas utility that emits greenhouse gases. The content of the report by the reporter may, for example, be at least one of the reporter ID, report date and time, measurement date and time, measurement method, gas type, leaked gas amount, leaked gas location information, and calibration information of the measuring equipment.

[0070] The authentication unit 218 may convert the gas leakage amount or gas leakage location and business information into a predetermined electronic report and submit it to a certification body. The authentication unit 218 may store at least one of the electronic report and the electronic certificate in a digital depository that can be accessed by a third party.

[0071] FIG. 4 is a flowchart showing an example of a procedure for transmitting correction information to a sensor to be calibrated.

[0072] The acquisition unit 211 acquires calibration information together with stationary measurement information from the stationary sensor 100. The acquisition unit 211 acquires calibration information together with UAV measurement information from the sensor 62. The acquisition unit 211 acquires calibration information together with satellite measurement information from the sensor 82 (S100).

[0073] The generation unit 212 identifies the sensor to be calibrated from among the stationary sensor 100, the sensor 62, and the sensor 82 based on each piece of calibration information (S102). The generation unit 212 may identify a sensor that does not provide calibration information along with measurement information as the sensor to be calibrated. Alternatively, the generation unit 212 may identify the sensor that has been calibrated the longest time ago as the sensor to be calibrated.

[0074] If the sensor to be calibrated is a fixed sensor 100, the generation unit 212 generates correction information for the reference value of each of the multiple fixed sensors 100 based on UAV measurement information or satellite measurement information. If the sensor to be calibrated is a specific fixed sensor 100, the generation unit 212 generates correction information for the reference value of the specific fixed sensor 100 based on UAV measurement information or satellite measurement information. If the sensor to be calibrated is sensor 62 or sensor 82, the generation unit 212 generates correction information for the reference value of sensor 62 or sensor 82 based on multiple pieces of stationary measurement information (S104).

[0075] If the calibration target is a fixed sensor 100, the communication control unit 213 transmits the correction information of each of the multiple fixed sensors 100 to each of the multiple fixed sensors 100. If the calibration target is a specific fixed sensor 100, the communication control unit 213 transmits the correction information of the specific fixed sensor 100 to the specific fixed sensor 100. If the calibration target is sensor 62 or sensor 82, the communication control unit 213 transmits the correction information of sensor 62 or sensor 82 to sensor 62 or sensor 82 (S106).

[0076] Upon receiving the correction information, the fixed sensor 100, the sensor 62, or the sensor 82 corrects the reference value of the measurement based on the correction information.

[0077] The above processing ensures consistency of measurement information between sensors with different measurement formats.

[0078] FIG. 5 is a flowchart showing an example of a procedure for registering the identification information of a possibly defective fixed sensor 100 in the storage unit.

[0079] The identifying unit 214 identifies an abnormal area among the multiple areas 50 where a physical quantity exhibits an abnormal value based on UAV measurement information or satellite measurement information (S200). The identifying unit 214 identifies a fixed sensor 100 installed in the abnormal area (S202). The storage unit 220 may store map information indicating the position of each fixed sensor. The identifying unit 214 may identify a fixed sensor 100 installed in the abnormal area by referring to the map information.

[0080] The registration unit 215 determines whether or not the physical quantity based on the fixed measurement information of the fixed sensor 100 in the abnormal area among the multiple fixed sensors 100 indicates an abnormal value (S204). If the physical quantity based on the fixed measurement information of the fixed sensor 100 in the abnormal area indicates no abnormal value, the registration unit 215 registers in the storage unit 220 the identification information of the fixed sensor 100 that provided the fixed measurement information that indicates no abnormal value (S206).

[0081] By storing the identification information of the fixed sensor 100 that may be malfunctioning in the storage unit 220 through the above process, it is possible to easily identify the malfunctioning fixed sensor 100.

[0082] FIG. 6 is a flowchart showing an example of a procedure for outputting an alert signal when a possibly defective fixed sensor 100 is present.

[0083] The identification unit 214 identifies an abnormal area among the multiple areas 50 where a physical quantity exhibits an abnormal value based on UAV measurement information or satellite measurement information (S300). The identification unit 214 identifies a fixed sensor 100 installed in the abnormal area (S302). The storage unit 220 may store map information indicating the position of each fixed sensor. The identification unit 214 may identify a fixed sensor 100 installed in the abnormal area by referring to the map information.

[0084] The registration unit 215 determines whether or not the physical quantity based on the fixed measurement information of the fixed sensor 100 in the abnormal area among the multiple fixed sensors 100 indicates an abnormal value (S304). If the physical quantity based on the fixed measurement information of the fixed sensor 100 in the abnormal area indicates no abnormal value, the alert output unit 216 outputs an alert signal to the terminal that manages the fixed sensor 100 that provided the fixed measurement information that does not indicate an abnormal value (S306).

[0085] By the above process, the person in charge of managing the fixed sensors 100 can be notified of the fixed sensors 100 that may be experiencing a malfunction.

[0086] FIG. 7 is a flowchart showing an example of a procedure for changing the measurement conditions of the fixed sensor 100 installed in the abnormal area.

[0087] The identifying unit 214 identifies an abnormal area among the multiple areas 50 where a physical quantity exhibits an abnormal value based on UAV measurement information or satellite measurement information (S400). The identifying unit 214 identifies a fixed sensor 100 installed in the abnormal area (S402). The identifying unit 214 may identify at least one fixed sensor 100 installed in the abnormal area.

[0088] The instruction unit 217 instructs the identified fixed sensor 100 to change the measurement conditions of the identified fixed sensor 100 (S404). The instruction unit 217 may instruct the identified fixed sensor 100 to change the measurement conditions so that more detailed measurement data of the identified fixed sensor 100 can be obtained. The instruction unit 217 may instruct the fixed sensor 100 in the abnormal area that performs measurement at a first sampling rate to perform measurement at a second sampling rate that is higher than the first sampling rate. Alternatively, the instruction unit 217 may instruct the fixed sensor 100 in the abnormal area to transmit detailed measurement information that contains more data than the fixed measurement information, which is statistical information.

[0089] This allows the fixed sensor 100 installed in an area where an abnormality may be occurring to measure the physical quantity related to the environment in more detail than usual.

[0090] 8 illustrates an example of a computer 1200 in which aspects of the present invention may be embodied, in whole or in part. A program installed on the computer 1200 may cause the computer 1200 to perform operations associated with an apparatus according to an embodiment of the present invention or to function as one or more “parts” of the apparatus. Alternatively, the program may cause the computer 1200 to perform the operations or one or more “parts.” The program may cause the computer 1200 to perform a process or steps of a process according to an embodiment of the present invention. Such a program may be executed by the CPU 1212 to cause the computer 1200 to perform specific operations associated with some or all of the blocks in the flowcharts and block diagrams described herein.

[0091] The computer 1200 according to this embodiment includes a CPU 1212 and a RAM 1214, which are interconnected by a host controller 1210. The computer 1200 also includes a communication interface 1222 and an input / output unit, which are connected to the host controller 1210 via an input / output controller 1220. The computer 1200 also includes a ROM 1230. The CPU 1212 operates according to programs stored in the ROM 1230 and RAM 1214, thereby controlling each unit.

[0092] The communication interface 1222 communicates with other electronic devices via a network. A hard disk drive may store programs and data used by the CPU 1212 in the computer 1200. The ROM 1230 stores a boot program executed by the computer 1200 upon activation and / or programs dependent on the computer's hardware. The programs may be provided via a computer-readable recording medium such as a CD-ROM, a USB memory, or an IC card, or via a network. The programs may be installed in the RAM 1214 or the ROM 1230, which are also examples of computer-readable recording media, and executed by the CPU 1212. The information processing described in these programs is read by the computer 1200 and establishes cooperation between the programs and the various types of hardware resources described above. An apparatus or method may be configured by implementing operations or processing of information in accordance with the use of the computer 1200.

[0093] For example, when communication is performed between computer 1200 and an external device, CPU 1212 may execute a communication program loaded into RAM 1214 and instruct communication interface 1222 to perform communication processing based on the processing described in the communication program. Under the control of CPU 1212, communication interface 1222 reads transmission data stored in a transmission buffer area provided in RAM 1214 or a recording medium such as a USB memory, and transmits the read transmission data to a network, or writes reception data received from the network to a reception buffer area or the like provided on the recording medium.

[0094] The CPU 1212 may also cause all or a necessary portion of a file or database stored on an external recording medium such as a USB memory to be read into the RAM 1214, and perform various types of processing on the data on the RAM 1214. The CPU 1212 may then write the processed data back to the external recording medium.

[0095] Various types of information, such as various types of programs, data, tables, and databases, may be stored on the recording medium and may undergo information processing. The CPU 1212 may perform various types of processing on data read from the RAM 1214, including various types of operations, information processing, conditional judgment, conditional branching, unconditional branching, information search / replacement, etc., as described throughout this disclosure and specified by the instruction sequences of the programs, and write the results back to the RAM 1214. The CPU 1212 may also search for information in a file, database, etc. on the recording medium. For example, if multiple entries, each having an attribute value of a first attribute associated with an attribute value of a second attribute, are stored on the recording medium, the CPU 1212 may search for an entry that matches a condition specified by the attribute value of the first attribute from among the multiple entries, read the attribute value of the second attribute stored in the entry, and thereby obtain the attribute value of the second attribute associated with the first attribute that satisfies a predetermined condition.

[0096] The above-described programs or software modules may be stored in a computer-readable storage medium on or near the computer 1200. A recording medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet can also be used as a computer-readable storage medium, thereby providing the programs to the computer 1200 via the network.

[0097] A computer-readable medium may include any tangible device capable of storing instructions that are executed by an appropriate device. As a result, the computer-readable medium with instructions stored thereon comprises an article of manufacture, including instructions that can be executed to create means for performing the operations specified in the flowchart or block diagram. Examples of computer-readable media may include electronic storage media, magnetic storage media, optical storage media, electromagnetic storage media, semiconductor storage media, etc. More specific examples of computer-readable media may include floppy disks, diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), electrically erasable programmable read-only memory (EEPROM), static random access memory (SRAM), compact disc read-only memory (CD-ROM), digital versatile disc (DVD), Blu-ray (RTM) disc, memory stick, integrated circuit card, etc.

[0098] The computer-readable instructions may include either source code or object code written in any combination of one or more programming languages. The source code or object code may include conventional procedural programming languages. The conventional procedural programming languages ​​may be assembler instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state-setting data, or object-oriented programming languages ​​such as Smalltalk®, JAVA®, C++, etc., and the “C” programming language or similar programming languages. The computer-readable instructions may be provided to a processor or programmable circuitry of a programmable data processing apparatus locally or over a local area network (LAN), a wide area network (WAN) such as the Internet, etc. The processor or programmable circuitry may execute the computer-readable instructions to create means for performing the operations specified in the flowcharts or block diagrams.

[0099] Here, the computer may be a computer such as a PC (personal computer), tablet computer, smartphone, workstation, server computer, or general-purpose computer, or may be a computer system in which multiple computers are connected. Such a computer system in which multiple computers are connected is also called a distributed computing system, and is a computer in the broad sense. In a distributed computing system, the multiple computers collectively execute a program by each executing a part of the program and passing data between the computers as needed during program execution.

[0100] Examples of processors include computer processors, central processing units (CPUs), processing units, microprocessors, digital signal processors, controllers, microcontrollers, etc. A computer may have one or more processors. In a multiprocessor system with multiple processors, each processor executes a portion of a program and passes data between processors as needed during program execution, allowing the multiple processors to collectively execute the program. For example, in multitasking, each of the multiple processors may execute a portion of each task in small chunks by switching tasks at time slice intervals. In this case, which portion of a program each processor executes changes dynamically. Alternatively, which portion of a program each of the multiple processors executes may be statically determined by multiprocessor-aware programming.

[0101] Although the present invention has been described above using embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications and improvements can be made to the above embodiments. It is clear from the claims that such modifications and improvements can also be included within the technical scope of the present invention.

[0102] It should be noted that the execution order of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings is not specifically stated as "before," "prior to," etc., and that the processes can be performed in any order unless the output of a previous process is used in a later process. Even if the operational flow in the claims, specifications, and drawings is described using "first," "next," etc. for convenience, this does not mean that the processes must be performed in this order. [Explanation of symbols]

[0103] 10 Management System 30 Network 50 Area 60 UAV 62 sensors 80 satellite 82 Sensors 100 Fixed Sensor 110 control section 111 Measurement information generation unit 112 Communication control unit 114 Proofreading Department 120 Storage section 130 Communications Department 140 Measurement Unit 200 Management device 210 Control Unit 211 Acquisition Department 212 Generation part 213 Communication Control Unit 214 Specific section 215 Registration Department 216 Alert Output Unit 217 Instruction section 218 Authentication Department 220 Storage Unit 230 Communications Department 1200 Computer 1210 host controller 1212 CPU 1214 RAM 1220 Input / Output Controller 1222 communication interface 1230 ROM

Claims

1. an acquisition unit that acquires first measurement information from each of a plurality of first sensors that are installed in each of a plurality of areas and measure physical quantities related to the environment of each of the plurality of areas, and acquires second measurement information from at least one second sensor that is mounted on at least one moving object and measures physical quantities related to the environment of each of the plurality of areas as the at least one moving object moves; an identifying unit that identifies an abnormal area among the plurality of areas where the physical quantity indicates an abnormal value based on each of the first measurement information and the second measurement information; an authentication unit that certifies that the first measurement information and the second measurement information have high consistency when the abnormal area identified by the identification unit based on the first measurement information and the abnormal area identified by the identification unit based on the second measurement information are the same area; A management device comprising:

2. The management device of claim 1 further comprises a generation unit that generates correction information for the reference values ​​of each of the plurality of first sensors based on the second measurement information, or generates correction information for the reference values ​​of the at least one second sensor based on the first measurement information, or generates correction information for the reference values ​​of the plurality of first sensors and the at least one second sensor based on the first measurement information and the second measurement information.

3. The management device described in claim 2, further comprising a communication control unit that transmits the correction information of each of the plurality of first sensors to each of the plurality of first sensors, or transmits the correction information of the at least one second sensor to the at least one second sensor.

4. When the plurality of first sensors have performed calibration, the plurality of first sensors transmit first calibration information including a calibration date and time when the calibration was performed together with the first measurement information to the management device; When the at least one second sensor has performed calibration, the at least one second sensor transmits second calibration information including a calibration date and time when the calibration was performed to the management device together with the second measurement information; The management device described in claim 2, wherein the generation unit determines whether to generate correction information for the reference values ​​of each of the plurality of first sensors or to generate correction information for the reference value of the at least one second sensor based on at least one of the first calibration information and the second calibration information.

5. 2. The management device according to claim 1, further comprising a registration unit that registers in a storage unit, when a difference between the physical quantity based on the first measurement information of each of the plurality of first sensors and the physical quantity based on the second measurement information of the at least one second sensor in the same area among the plurality of areas is greater than a predetermined difference, the identification information of the first sensor that provided the first measurement information or the identification information of the second sensor that provided the second measurement information.

6. The registration unit calculates a physical quantity x obtained from the first measurement information of the plurality of first sensors and the second measurement information of the at least one second sensor in the same area during a predetermined period, where μ is an average value of the physical quantity x, σ is a standard deviation of the physical quantity x, and α is calculated as (x-μ) ２ / σ ２ 6. The management device according to claim 5, wherein, when the deviation α is equal to or greater than a specific value, identification information of the first sensor or the second sensor that measured the physical quantity x is registered in the storage unit.

7. an identifying unit that identifies an abnormal area among the plurality of areas where the physical quantity indicates an abnormal value based on the first measurement information or the second measurement information; a registration unit that registers, in a storage unit, identification information of the first sensor that provided the first measurement information that does not indicate an abnormal value or the second sensor that provided the second measurement information, when either the physical quantity based on first measurement information of a first sensor in the abnormal area among the plurality of first sensors or the physical quantity based on second measurement information of a second sensor in the abnormal area among at least one second sensor does not indicate an abnormal value; The management device of claim 1 further comprising:

8. an identifying unit that identifies an abnormal area among the plurality of areas where the physical quantity indicates an abnormal value based on the first measurement information; an instruction unit that instructs the at least one second sensor to transmit second measurement information of the abnormal area; The management device of claim 1 further comprising:

9. an authentication unit that certifies that the first measurement information and the second measurement information have high consistency when a difference between a physical quantity based on the first measurement information and a physical quantity based on the second measurement information for the same area is within a predetermined range; The management device of claim 1 further comprising:

10. The management device according to claim 8 , wherein the physical quantity is an outflow amount of gas.

11. 8. The management device according to claim 7, further comprising an output unit that, when the physical quantity based on the first measurement information of a first sensor in the abnormal area among the plurality of first sensors does not indicate an abnormal value, outputs an alert signal to a terminal that manages the first sensor that provided the first measurement information that does not indicate an abnormal value.

12. an identifying unit that identifies an abnormal area among the plurality of areas where the physical quantity indicates an abnormal value based on the second measurement information; 2. The management device according to claim 1, further comprising an instruction unit that instructs a first sensor among the plurality of first sensors that performs measurements at a first sampling rate within the abnormal area to perform measurements at a second sampling rate different from the first sampling rate.

13. the acquisition unit acquires, as the first measurement information, statistical information obtained by statistically processing physical quantities related to environments of the respective areas from the respective first sensors; The management device an identifying unit that identifies an abnormal area among the plurality of areas where the physical quantity indicates an abnormal value based on the first measurement information; an instruction unit that instructs a first sensor in the abnormal area among the plurality of first sensors to transmit third measurement information having a data amount different from that of the first measurement information; The management device of claim 1 further comprising:

14. The management device according to claim 1 , wherein the at least one moving object is at least one of an unmanned aerial vehicle and an artificial satellite.

15. A management device according to any one of claims 1 to 14; the plurality of first sensors; the at least one moving body; A management system comprising:

16. an acquisition unit acquiring first measurement information from each of a plurality of first sensors that are installed in each of a plurality of areas and measure physical quantities related to the environment of each of the plurality of areas, and acquiring second measurement information from at least one second sensor that is mounted on at least one moving body and measures physical quantities related to the environment of each of the plurality of areas by movement of the at least one moving body; an identifying unit identifying an abnormal area in which the physical quantity indicates an abnormal value from among the plurality of areas based on each of the first measurement information and the second measurement information; an authentication unit certifying that the first measurement information and the second measurement information have high consistency when the abnormal area identified by the identification unit based on the first measurement information and the abnormal area identified by the identification unit based on the second measurement information are the same area; A management method comprising:

17. When executed by a computer, the computer acquiring first measurement information from each of a plurality of first sensors that are installed in each of a plurality of areas and measure physical quantities related to the environments of the respective areas, and acquiring second measurement information from at least one second sensor that is mounted on at least one moving body and measures physical quantities related to the environments of the respective areas by movement of the at least one moving body; identifying an abnormal area in which the physical quantity exhibits an abnormal value among the plurality of areas based on each of the first measurement information and the second measurement information; a step of verifying that the first measurement information and the second measurement information have high consistency when the abnormal area identified based on the first measurement information in the identifying step and the abnormal area identified based on the second measurement information in the identifying step are the same area; A program that executes.

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