Abnormality determination device for weather sensor, weather sensor system, abnormality determination method for weather sensor, and abnormality determination program

Abstract

To provide an abnormality determination device for a weather sensor capable of determining whether or not abnormality is eliminated with the lapse of time and returnable to a normal state.SOLUTION: The cloud server 60 includes a data acquisition unit 61 and an abnormality determination unit 65. The data acquisition unit 61 acquires, from the weather sensor module 1, weather data detected in the weather sensor module 1 and abnormality determination data obtained by determining the presence or absence of an abnormality in the weather sensor module 1. The data acquisition unit 61 acquires weather data in a place where the weather sensor module 1 is installed from the outside. The abnormality determination unit 65 determines whether or not the abnormality is recoverable to a normal state over time based on the presence or absence of the abnormality for each weather sensor module 1 in the predetermined area where the plurality of weather sensor modules 1 are installed, which is acquired by the data acquisition unit 61, and the weather data acquired by the data acquisition unit 61.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a weather sensor abnormality determination device, a weather sensor system, a weather sensor abnormality determination method, and an abnormality determination program for determining whether or not an abnormality has occurred in a weather sensor. [Background technology]

[0002] In recent years, weather sensors have been used that include, for example, a wind sensor that detects wind speed and direction, a raindrop detection sensor that detects rain, and a temperature and humidity sensor that detects temperature and humidity. Such weather sensors are installed in various regions such as plains and mountainous areas, detect weather data in each region, and transmit the data to a server device or the like via a communication line. For example, Patent Document 1 discloses a remote monitoring system for monitoring devices including weather sensors that can reduce communication costs and power consumption while enabling on-site conditions to be confirmed using high-resolution images in the event of an abnormality. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-152642 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the above-described conventional remote monitoring system has the following problems. For example, if an abnormality occurs in a raindrop detection sensor or other weather sensor included in a monitoring device due to snow accumulation or temporary heavy rain, the abnormal condition will often resolve over time, and there is no need to dispatch maintenance personnel to the location where the monitoring device is installed. However, with the remote monitoring system disclosed in the above publication, it is not possible to determine whether maintenance is necessary simply by checking the image, and as a result, it becomes necessary to dispatch maintenance personnel.

[0005] The object of the present invention is to provide a weather sensor abnormality determination device, a weather sensor system, a weather sensor abnormality determination method, and an abnormality determination program that can determine whether an abnormality will be resolved over time and can be restored to a normal state. [Means for solving the problem]

[0006] A weather sensor abnormality determination device according to a first aspect of the present invention is an abnormality determination device that determines whether an abnormality has occurred in a weather sensor, and includes a data acquisition unit, an external data acquisition unit, and an abnormality determination unit. The data acquisition unit acquires, from the weather sensors, weather data detected by the weather sensors and abnormality determination data that determines whether an abnormality has occurred in the weather sensors. The external data acquisition unit acquires weather data for the locations where the weather sensors are installed from the outside. The abnormality determination unit determines whether an abnormality can be restored to a normal state over time based on the presence or absence of an abnormality for each weather sensor in a predetermined area where multiple weather sensors are installed, acquired by the data acquisition unit, and the weather data acquired by the external data acquisition unit.

[0007] Here, information regarding the occurrence of any abnormalities is received from weather sensors installed in various locations, along with weather data from external sources that provide weather information, and a determination is made as to whether the abnormality is one that can be returned to a normal state over time, or one that requires maintenance. Here, abnormalities that can be restored to a normal state over time include, for example, abnormalities that occur in the raindrop detection sensor or illuminance sensor installed in the weather sensor due to snow accumulation, and abnormalities that occur in each sensor of the weather sensor due to temporary heavy rain.

[0008] The weather sensor is a device equipped with, for example, a wind sensor that detects wind speed, wind direction, etc., a raindrop detection sensor that detects rain, a temperature and humidity sensor that detects temperature and humidity, an illuminance sensor, etc. The weather data acquired from outside includes, for example, weather data such as rainfall, snowfall, lightning, and wind speed acquired from external services such as weather information management companies that provide weather data for each region.

[0009] This means that even if a temporary abnormality occurs in the weather sensor due to snowfall or heavy rain, for example, it is possible to determine whether the abnormality is one that can be restored to a normal state over time, eliminating the need to dispatch maintenance personnel to the installation site. As a result, it is possible to determine whether a detected abnormality in a weather sensor is an abnormality that requires maintenance, and to minimize the number of maintenance personnel dispatched to the installation site.

[0010] The weather sensor abnormality determination device according to a second aspect of the present invention is the weather sensor abnormality determination device according to the first aspect of the present invention, wherein the external data acquisition unit acquires snow accumulation information as the weather data. This allows snow accumulation data to be obtained from outside and compared with snow accumulation information at the location where the weather sensor where the abnormality was detected to determine whether the abnormality occurring in the weather sensor is an abnormality caused by snow accumulation and whether the abnormality will be able to return to normal over time as the snow melts.

[0011] The weather sensor abnormality determination device of the third invention is the weather sensor abnormality determination device of the second invention, in which the abnormality determination unit uses snow accumulation information acquired by the external data acquisition unit to determine whether the weather sensor is experiencing an abnormality that can be recovered from over time. This makes it possible to use snow accumulation information obtained from external sources such as weather information providers to determine whether an abnormality occurring in the weather sensor is an abnormality caused by snow accumulation and whether it is an abnormality that can be restored to a normal state over time.

[0012] The weather sensor abnormality determination device of the fourth invention is the weather sensor abnormality determination device of the first or second invention, in which the abnormality determination unit determines that the abnormality is recoverable over time when the number of weather sensors determined to have an abnormality in a specified area exceeds a specified threshold. As a result, if the number of weather sensors that detect an abnormality in a specified area exceeds a specified threshold, weather data obtained from outside (snow accumulation information, etc.) can be checked to see if there is snow accumulation, heavy rain, etc. in the area, and it can be determined whether the abnormality is temporary and can be restored to normal.

[0013] The weather sensor abnormality determination device of the fifth invention is the weather sensor abnormality determination device of the first or second invention, and the abnormality determination data includes one of no response, weather data exceeding an upper threshold or a lower threshold, and abnormal data. This allows data indicating various abnormalities that may occur in the weather sensor to be obtained, making it possible to determine what type of abnormality has occurred in the weather sensor.

[0014] The weather sensor abnormality determination device of the sixth invention is the weather sensor abnormality determination device of the first or second invention, wherein the specified area is pre-set to include multiple weather sensors. This allows, for example, by presetting the range of a city or town in a prefecture as a specified area, it is possible to determine whether an abnormality in multiple weather sensors included in that area is an abnormality that can be recovered from.

[0015] The weather sensor abnormality determination device of the seventh invention is the weather sensor abnormality determination device of the first or second invention, and the specified area is set within a specified distance centered on a reference weather sensor that serves as a reference among multiple weather sensors. This makes it possible to determine whether or not the abnormalities of multiple weather sensors within a predetermined radius range are recoverable, for example, using one of the weather sensors in which an abnormality has occurred as a reference.

[0016] The weather sensor abnormality determination device of the eighth invention is the weather sensor abnormality determination device of the first or second invention, wherein the data acquisition unit acquires at least one of data of temperature, humidity, illuminance, wind speed, wind direction, rainfall, and air pressure. This makes it possible to determine whether or not an abnormality occurs in one or more pieces of weather data and whether or not the abnormality is recoverable.

[0017] The weather sensor abnormality determination device of the ninth invention is the weather sensor abnormality determination device of the first or second invention, and further includes a memory unit that stores the weather data and abnormality determination data acquired by the data acquisition unit, and the weather data acquired by the external data acquisition unit. This makes it possible to use the various data stored in the memory unit to determine whether the abnormality that has occurred in the weather sensor is an abnormality that can be recovered from.

[0018] The weather sensor abnormality determination device according to a tenth aspect of the present invention is the weather sensor abnormality determination device according to the first or second aspect of the present invention, further comprising a display unit that displays the determination result in the abnormality determination unit. This makes it possible to display the result of determining whether the abnormality that has occurred is an abnormality that can be recovered from, for example, on a display unit such as a monitor of a PC (Personal Computer).

[0019] The weather sensor abnormality determination device of the 11th invention is the weather sensor abnormality determination device of the first or second invention, and further includes a notification unit that notifies the user based on the determination result in the abnormality determination unit. This allows the result of determining whether the abnormality that occurred is recoverable or not to be notified to, for example, the administrator's PC, mobile terminal, etc. Therefore, if the abnormality requires maintenance, the administrator can quickly dispatch maintenance personnel to the location where the weather sensor is installed.

[0020] A weather sensor system according to a twelfth aspect of the present invention includes the weather sensor abnormality determination device according to the first or second aspect of the present invention, and a plurality of weather sensors. This makes it possible to build a system that can determine whether a detected abnormality in a weather sensor requires maintenance, and minimize the number of maintenance personnel dispatched to the installation site.

[0021] A thirteenth aspect of the present invention provides a method for determining whether an abnormality has occurred in a weather sensor, and includes a data acquisition step, an external data acquisition step, and an abnormality determination step. In the data acquisition step, weather data detected by the weather sensor and abnormality determination data determining whether an abnormality has occurred in the weather sensor are acquired from the weather sensor. In the external data acquisition step, weather data for the locations where the weather sensors are installed are acquired from outside. In the abnormality determination step, it is determined whether the abnormality is one that can be restored to a normal state over time, based on the presence or absence of an abnormality for each weather sensor in a predetermined area where multiple weather sensors are installed, acquired in the data acquisition step, and the weather data acquired in the external data acquisition step.

[0022] Here, information regarding the occurrence of any abnormalities is received from weather sensors installed in various locations, along with weather data from external sources that provide weather information, and a determination is made as to whether the abnormality is one that can be returned to a normal state over time, or one that requires maintenance. Here, abnormalities that can be restored to a normal state over time include, for example, abnormalities that occur in the raindrop detection sensor or illuminance sensor installed in the weather sensor due to snow accumulation, and abnormalities that occur in each sensor of the weather sensor due to temporary heavy rain.

[0023] The weather sensor is a device equipped with, for example, a wind sensor that detects wind speed, wind direction, etc., a raindrop detection sensor that detects rain, a temperature and humidity sensor that detects temperature and humidity, an illuminance sensor, etc. The weather data acquired from outside includes, for example, weather data such as rainfall, snowfall, lightning, and wind speed acquired from external services such as weather information management companies that provide weather data for each region.

[0024] This means that even if a temporary abnormality occurs in the weather sensor due to snowfall or heavy rain, for example, it is possible to determine whether the abnormality is one that can be restored to a normal state over time, eliminating the need to dispatch maintenance personnel to the installation site. As a result, it is possible to determine whether a detected abnormality in a weather sensor is an abnormality that requires maintenance, and to minimize the number of maintenance personnel dispatched to the installation site.

[0025] A weather sensor anomaly determination program according to a fourteenth aspect of the present invention is an anomaly determination method for determining whether an anomaly has occurred in a weather sensor, and causes a computer to execute the weather sensor anomaly determination method, which includes a data acquisition step, an external data acquisition step, and an anomaly determination step. In the data acquisition step, weather data detected by the weather sensor and anomaly determination data determining whether an anomaly has occurred in the weather sensor are acquired from the weather sensor. In the external data acquisition step, weather data for the location where the weather sensor is installed is acquired from an external source. In the anomaly determination step, it is determined whether the anomaly can be restored to a normal state over time based on the presence or absence of an anomaly for each weather sensor in a predetermined area where multiple weather sensors are installed, acquired in the data acquisition step, and the weather data acquired in the external data acquisition step.

[0026] Here, information regarding the occurrence of any abnormalities is received from weather sensors installed in various locations, along with weather data from external sources that provide weather information, and a determination is made as to whether the abnormality is one that can be returned to a normal state over time, or one that requires maintenance. Here, abnormalities that can be restored to a normal state over time include, for example, abnormalities that occur in the raindrop detection sensor or illuminance sensor installed in the weather sensor due to snow accumulation, and abnormalities that occur in each sensor of the weather sensor due to temporary heavy rain.

[0027] The weather sensor is a device equipped with, for example, a wind sensor that detects wind speed, wind direction, etc., a raindrop detection sensor that detects rain, a temperature and humidity sensor that detects temperature and humidity, an illuminance sensor, etc. The weather data acquired from outside includes, for example, weather data such as rainfall, snowfall, lightning, and wind speed acquired from external services such as weather information management companies that provide weather data for each region.

[0028] This means that even if a temporary abnormality occurs in the weather sensor due to snowfall or heavy rain, for example, it is possible to determine whether the abnormality is one that can be restored to a normal state over time, eliminating the need to dispatch maintenance personnel to the installation site. As a result, it is possible to determine whether a detected abnormality in a weather sensor is an abnormality that requires maintenance, and to minimize the number of maintenance personnel dispatched to the installation site. [Effects of the Invention]

[0029] According to the weather sensor abnormality determination device of the present invention, it is possible to determine whether the abnormality will be resolved over time and whether the abnormality can be restored to a normal state. [Brief explanation of the drawings]

[0030] [Figure 1] FIG. 1 is a control block diagram showing the configuration of a weather sensor system including a plurality of weather sensors according to an embodiment of the present invention. [Figure 2] FIG. 2 is a perspective view showing the configuration of a weather sensor included in the weather sensor system of FIG. 1. [Figure 3] FIG. 3 is a side view of the weather sensor of FIG. 2. [Figure 4] Figure 2. Top view of the weather sensor. [Figure 5] 5 is a cross-sectional view showing the configuration of the upper part of the weather sensor in the cross-sectional view taken along line AA in FIG. 4. [Figure 6] 6 is a diagram showing sensor data detected by various sensors included in the sensor unit of the weather sensor module of FIG. 5, a weather sensor module ID, and detection time. [Figure 7] FIG. 6 is a diagram showing the installation locations (latitude, longitude, altitude, installation location information, area ID) of the weather sensor modules in FIG. 5. [Figure 8]FIG. 4 is a diagram showing map information indicating the installation positions of weather sensor modules and whether or not there are any abnormalities. [Figure 9] FIG. 10 is a diagram showing map information indicating the installation position of the weather sensor module and the recovery of an abnormality to a normal state over time. [Figure 10] FIG. 10 is a diagram showing AMeDAS data received from an external service for the area where the weather sensor module is installed. [Figure 11] 7 is a diagram showing a state in which an error (abnormality) has occurred in a rainfall sensor included in one of the weather sensor modules that detected the sensor data shown in FIG. 6. [Figure 12] 7 is a diagram showing a state in which an error (abnormality) has occurred in a rainfall sensor included in a weather sensor module installed in the same area as one of the weather sensor modules that detected the sensor data shown in FIG. 6. [Figure 13] 13 is a table showing the error code IDs and their summaries for the errors shown in FIGS. 11 and 12. [Figure 14] (a) is a diagram showing sensor data when an abnormality occurs in a single weather sensor module, and (b) is a diagram showing sensor data when an abnormality occurs in multiple weather sensor modules in the same area. [Figure 15] 4 is a flowchart showing the process flow of a method for determining an abnormality in a weather sensor according to the present embodiment. [Figure 16] FIG. 10 is a control block diagram showing the configuration of a weather sensor system according to still another embodiment of the present invention. [Figure 17] (a) is a diagram showing the monitoring area radius, anomaly determination coefficient, and area anomaly determination threshold for an area where multiple weather sensor modules included in the weather sensor system of Fig. 16 are installed. (b) is a diagram showing an area table including area IDs, area states, weather sensor module states, and weather sensor IDs with errors. [Figure 18] 17 is a flowchart showing the flow of processing of a method for determining an abnormality in a weather sensor by the weather sensor system of FIG. 16; [Figure 19] FIG. 10 is a diagram showing an area set with a predetermined radius centered on a weather sensor module where a reference abnormality has occurred. [Figure 20]FIG. 20 is a diagram showing how the weather sensor module in which the abnormality shown in FIG. 19 occurred has returned to a normal state over time. DETAILED DESCRIPTION OF THE INVENTION

[0031] (Embodiment 1) The cloud server (abnormality determination device) 60 that performs abnormality determination for a weather sensor module (weather sensor) 1 according to one embodiment of the present invention and the weather sensor system 100 that includes the same will be described below with reference to Figures 1 to 15. In the present embodiment, more detailed explanation than necessary may be omitted. For example, detailed explanation of well-known matters or redundant explanation of substantially the same configuration may be omitted. This is to avoid unnecessary redundancy in the following explanation and to facilitate understanding by those skilled in the art.

[0032] Furthermore, the applicant provides the accompanying drawings and the following description to enable those skilled in the art to fully understand the present invention, and they are not intended to limit the subject matter described in the claims.

[0033] (1) Configuration of the weather sensor system 100 As shown in Figure 1, the weather sensor system 100 of this embodiment includes multiple weather sensor modules (weather sensors) 1 connected to each other via a communication network NW, a cloud server (abnormality determination device) 60 that determines whether or not there is an abnormality in each weather sensor module 1, an external service 70, and a user terminal device 80.

[0034] The multiple weather sensor modules 1 are set for each region as devices for detecting weather information for each region, and detect weather data such as rainfall, wind (wind speed and direction), temperature, humidity, and atmospheric pressure. The detailed configuration of the weather sensor module 1 will be described later. The cloud server 60 receives and stores weather data for each region received from multiple weather sensor modules 1 via the communication network NW, as well as the results of determining whether or not there is an abnormality in each weather sensor module 1. The cloud server 60 also uses the weather information for each region received from the external service 70 to determine whether or not the weather sensor module 1 determined to have an abnormality is one that can be restored to a normal state over time.

[0035] The detailed configuration of the cloud server will be described later. The external service 70 is a weather information provider that provides weather information for each region, and provides various information to the outside, such as temperature, humidity, wind speed, wind direction, rainfall, snowfall, typhoons, linear precipitation bands, lightning, pollen, PM2.5, and wave height. The user terminal device 80 is, for example, a PC (Personal Computer), smartphone, tablet terminal, etc. owned by the administrator who manages the weather sensor module 1, and receives and displays the results of abnormality determination of the weather sensor module 1 in the cloud server 60.

[0036] (2) Weather Sensor Module 1 Configuration The weather sensor module 1 of this embodiment is a device that is installed, for example, outdoors and measures rain, wind, illuminance, temperature, humidity, air pressure, etc., and as shown in Figure 1, it is equipped with a control unit 50, a sensor unit 51, a memory unit 52, a sensor abnormality determination unit 53, and a communication unit 54. The control unit 50 is configured by a CPU (Central Processing Unit) and other circuits, and is connected to the sensor unit 51, storage unit 52, sensor abnormality determination unit 53, and communication unit 54, and controls each unit.

[0037] The sensor unit 51 detects meteorological data such as wind speed, wind direction, rainfall, illuminance, temperature, humidity, and atmospheric pressure, and converts the various meteorological data into signals. The sensor unit 51 includes a wind sensor 10, a rainfall sensor 20, an illuminance sensor 30, a temperature and humidity sensor 40a, and an atmospheric pressure sensor 40b, which will be described later. The storage unit 52 stores weather data detected by each sensor included in the sensor unit 51, the determination results of the sensor abnormality determination unit 53, and the like.

[0038] The sensor abnormality determination unit 53 determines whether or not there is an abnormality inside the weather sensor module 1, such as an abnormality that makes it impossible to send or receive weather data due to a failure that requires maintenance, such as a broken wire, or an abnormality that makes it impossible to detect weather data due to snow accumulation that covers the detection area of ​​the weather sensor module 1. Specifically, the sensor abnormality determination unit 53 determines whether or not there is an abnormality, for example, depending on whether or not the number of weather sensor modules 1 determined to have an abnormality in a predetermined area is equal to or greater than a predetermined threshold.

[0039] The communication unit 54 receives various data from the control unit 50 and transmits the data to the cloud server 60 or the like via a communication line such as LoRa (Long Range) or Wi-Fi (registered trademark) and a communication network NW. The structure of the weather sensor module 1 will now be described with reference to Figures 2 and 3. As shown in Figures 2 and 3, the weather sensor module 1 includes a wind sensor 10, a rainfall sensor 20, an illuminance sensor 30, a temperature and humidity sensor 40a, and an air pressure sensor 40b.

[0040] As shown in Figures 2 and 3, the wind sensor 10 is provided in the middle part of the weather sensor module 1 and measures the speed and direction of wind passing through the gap between the rainfall sensor 20 and the temperature and humidity sensor 40a and the air pressure sensor 40b. Specifically, the wind sensor 10 includes ultrasonic sensors 11a, 11b, 11c, and 11d, a pole member 14, and a base portion 15, as shown in FIGS.

[0041] The ultrasonic sensors 11a, 11b, 11c, and 11d are disposed on the upper surface 12a of the base 12, as shown in FIG. The ultrasonic sensors 11a, 11b, 11c, and 11d are used in pairs (ultrasonic sensors 11a and 11b, and ultrasonic sensors 11c and 11d) that are arranged to face each other. One of the pair of ultrasonic sensors 11a and 11b functions as an emitter that emits ultrasonic waves, and the other functions as a receiver that receives ultrasonic waves, and these functions can be switched back and forth.

[0042] For example, when ultrasonic sensor 11a emits ultrasonic waves, ultrasonic sensor 11b, which is positioned opposite to ultrasonic sensor 11a, receives the ultrasonic waves emitted from ultrasonic sensor 11a and reflected by reflecting surface 13 shown in Fig. 3. The same applies when ultrasonic waves are emitted from other ultrasonic sensors 11b, 11c, and 11d. The wind sensor control unit (not shown) measures the wind speed and direction in the gap (measurement area) between the rain sensor 20 and the temperature and humidity sensor 40a and the air pressure sensor 40b based on changes in the reception timing of ultrasonic waves received by the ultrasonic sensors 11a, 11b, 11c, and 11d, which function as receiving units.

[0043] As shown in Figures 2 and 3, the rainfall sensor 20 is provided in the upper part of the weather sensor module 1, and detects raindrops that pass through a predetermined opening 21a (see Figure 4, etc.) provided on the top surface of the housing part 21, and calculates the amount of rainfall by detecting the size of the detected raindrops and the amount per unit time. More specifically, the rainfall sensor 20 has a housing 21 therein, a light source 22a and a light receiving section 22b (see FIG. 5).

[0044] As shown in FIG. 5, the light source section 22a and the light receiving section 22b are arranged at positions facing each other on the inner wall surface 21b of the opening section 21a. The light source unit 22a is, for example, an LED (Light Emitting Diode), and irradiates infrared light toward the light receiving unit 22b via a collimating lens and a condensing lens (neither of which are shown).

[0045] The light receiving section 22b is, for example, a photodiode, and is disposed at a position facing the light source section 22a, and receives light condensed via a condenser lens (not shown). Light is then irradiated from the light source unit 22a onto the raindrop detection area formed between the light source unit 22a and the light receiving unit 22b, and the presence or absence of raindrops is detected by the raindrops blocking part of the light detected by the light receiving unit 22b, reducing the amount of light received by the light receiving unit 22b.

[0046] The rainfall sensor 20 also has a plurality of legs 23 erected on the upper surface of the base 24, and is connected to the wind sensor 10 that constitutes the middle part of the weather sensor module 1 via the legs 23 and the base. As shown in FIGS. 2 and 3, the illuminance sensor 30 is provided in the upper part of the weather sensor module 1 together with the rainfall sensor 20, and measures illuminance as one of the weather information.

[0047] As shown in FIGS. 2 and 3, the temperature and humidity sensor 40a is provided in the lower part of the weather sensor module 1, and measures the temperature (air temperature) and humidity as meteorological information. As shown in FIGS. 2 and 3, the atmospheric pressure sensor 40b is provided in the lower part of the weather sensor module 1, and measures atmospheric pressure as meteorological information. Because the weather sensor module 1 of this embodiment has the above-described structure, there is a risk of abnormalities occurring, such as snow accumulating in the gaps between the rainfall sensor 20 and the temperature / humidity sensor 40a and the air pressure sensor 40b (for example, on the ultrasonic sensors 11a, 11b, 11c, and 11d), preventing wind measurement by the wind sensor 10, or snow falling inside the opening 21a, preventing rain detection by the rainfall sensor 20. Similarly, if a linear precipitation band causes torrential rain that exceeds expectations, there is a risk of abnormalities occurring in the measurements of the sensors included in the sensor unit 51.

[0048] However, such abnormalities caused by snowfall or heavy rain on the weather sensor module 1 will be resolved when the snow melts or the heavy rain stops, and the weather sensor module 1 will be able to return to its normal state. On the other hand, if, for example, flying objects such as fallen leaves cover the opening 21a or the ultrasonic sensors 11a, 11b, 11c, and 11d, the abnormality in the sensor unit 51 is unlikely to be resolved even after time has passed, so it is necessary to dispatch maintenance personnel to remove the fallen leaves, etc.

[0049] In the weather sensor system 100 of this embodiment, weather data (snowfall, heavy rain, etc.) received from an external service is used to determine whether an abnormality occurring in the weather sensor module 1 is an abnormality that can be restored to a normal state over time. This means that if it is determined that the abnormality is caused by snowfall or the like and does not require maintenance, maintenance personnel can wait until the system returns to normal over time without dispatching.

[0050] (3) Cloud Server 60 In the weather sensor system 100 of this embodiment, as shown in Figure 1, the cloud server 60 determines whether any abnormalities that have occurred in multiple weather sensor modules 1 connected via a communication network NW are abnormalities that can be restored to a normal state over time.

[0051] Specifically, as shown in FIG. 1, the cloud server 60 includes a data acquisition unit (data acquisition unit, external data acquisition unit) 61, a control unit 62, a memory unit 63, a threshold determination unit 64, an abnormality determination unit 65, a display unit 66, and a notification unit 67. The data acquisition unit (data acquisition unit, external data acquisition unit) 61 acquires, from the weather sensor module 1, weather data detected by the weather sensor module 1 and abnormality determination data that determines whether or not there is an abnormality in the weather sensor module 1. The data acquisition unit 61 acquires weather data for the location where the weather sensor module 1 is installed from an external service 70. The data acquisition unit 61 also functions as an external data acquisition unit, and acquires snowfall information as weather data.

[0052] The abnormality determination data acquired by the data acquisition unit 61 includes, for example, one of no response, weather data exceeding an upper or lower threshold, and abnormal data. The control unit 62 is composed of a CPU (Central Processing Unit) and other circuits, and is connected to the data acquisition unit 61, memory unit 63, abnormality determination unit 65, display unit 66, and notification unit 67, and controls each unit.

[0053] The storage unit 63 stores the weather data and abnormality determination data acquired by the data acquisition unit 61, and the weather data acquired by the data acquisition unit 61 from the external service 70. The weather data detected by the weather sensor module 1 and stored in the memory unit 63 includes, for example, as shown in Figure 6, the detection time, the weather sensor module ID (Identification) assigned to each of the multiple weather sensor modules 1, temperature (°C), humidity (%RH), illuminance (lux), wind speed (m / s), wind direction (°), rainfall (mm / h) and air pressure (hPa).

[0054] In addition, as shown in Figure 7, the memory unit 63 stores the installation location (latitude and longitude), altitude (m), installation location information (flat land, mountain, etc.) for each of the multiple weather sensor modules 1, and an area ID indicating which area the module is installed in among areas previously set as city, town, region, etc. The threshold determination unit 64 determines, for example, whether the number of weather sensor modules 1 determined to have an error in a predetermined area is equal to or greater than a predetermined threshold. The threshold determination unit 64 transmits the determination result of whether the number of weather sensor modules 1 determined to have an error is equal to or greater than the predetermined threshold to the abnormality determination unit 65 and the storage unit 63, and also transmits it to each weather sensor module 1 via the communication network NW.

[0055] The abnormality determination unit 65 determines whether or not there is an abnormality in each weather sensor module 1 in a specified area where multiple weather sensor modules 1 are installed, as acquired by the data acquisition unit 61, and based on the weather data acquired by the data acquisition unit 61 from the external service 70, whether or not the abnormality can be restored to a normal state over time. In particular, the abnormality determination unit 65 uses the snow accumulation information acquired by the data acquisition unit 61 to determine whether or not the weather sensor module 1 is experiencing an abnormality that can be recovered from over time.

[0056] The abnormality determination unit 65 refers to weather data (information on snowfall, heavy rain, etc.) obtained from the external service 70, and if the number of weather sensor modules 1 determined to have experienced an abnormality in a specified area exceeds a specified threshold, it determines that these abnormalities are not abnormalities that require maintenance, but are abnormalities caused by snowfall, etc. that can be resolved over time. The predetermined area that is the target of the abnormality determination of the weather sensor module 1 is set in advance to include a plurality of weather sensor modules 1.

[0057] The predetermined area to be subjected to abnormality determination is set in advance as a circular area (area ID: A) including nine weather sensor modules 1, as shown in FIG. In the example shown in Figure 8, as a result of the abnormality determination in the weather sensor system 100 of this embodiment, of the nine weather sensor modules 1 included in area A, five weather sensor modules 1 indicated by ▲ are determined to be abnormal (four weather sensor modules 1 indicated by ■ are normal).

[0058] At this time, as shown in Figure 8, even if the sensor unit 51 (e.g., rainfall sensor 20, etc.) of multiple weather sensor modules 1 (▲) that are determined to be abnormal within a specified area (area ID: A) is unable to sense due to snowfall or heavy rain, etc., over time, as the snow melts or the heavy rain stops and the area returns to a normal state (■), the weather sensor modules 1 within the area (area ID: A) will return to a normal state, as shown in Figure 9.

[0059] As a result, the abnormality determination unit 65 uses weather information obtained from the external service 70 to determine that multiple weather sensor modules 1 that are determined to have an abnormality within the area (area ID: A) shown in Figures 8 and 9 are abnormalities that can be restored to a normal state over time, and can therefore choose to wait until the normal state is restored without dispatching maintenance personnel.

[0060] The display unit 66 displays, as map information, the locations of multiple weather sensor modules 1 in which abnormalities have occurred in a predetermined area shown in Figures 8 and 9, as the determination result of the abnormality determination unit 65. That is, the display unit 66 displays information (installation location, type of abnormality, etc.) about the weather sensor modules 1 that require maintenance (or do not require maintenance) among the weather sensor modules 1 in which abnormalities have occurred.

[0061] The weather data acquired by the data acquisition unit 61 from the external service 70 includes, for example, regional weather data (snowfall, heavy rain, etc.) provided by the AMeDAS (Automated Meteorological Data Acquisition System) shown in Figure 10, and weather data provided by various other systems that provide weather data. Here, when the weather sensor module 1 that is determined to have an abnormality by the sensor abnormality determination unit 53 for each weather sensor module 1 and the abnormality determination unit 65 on the cloud server 60 side is determined to have an abnormality, for example, an abnormality in an individual weather sensor module 1 (e.g., a broken wire, IC failure, etc.), an error code (E002) is displayed in the rainfall (mm / h) column for the weather sensor module 1 with weather sensor module ID: 1, as shown in Figure 11.

[0062] With regard to individual abnormalities in such weather sensor modules 1, since no abnormalities have occurred in weather sensor modules 1 installed nearby, the abnormality determination unit 65 determines that there is a high possibility that the abnormality requires maintenance, without even having to refer to the weather data obtained from the external service 70. On the other hand, for example, if there is an abnormality in multiple weather sensor modules 1 in a specified area (area ID: A) (for example, sensor data exceeding upper or lower thresholds), an error code (E003) is displayed in the rainfall (mm / h) column for five weather sensor modules 1 (weather sensor module IDs: 1 to 5) out of the nine weather sensor modules 1 in the area, as shown in Figure 12.

[0063] If an abnormality occurs in multiple weather sensor modules 1 within such an area, the abnormality determination unit 65 determines whether the number of weather sensor modules 1 in which an abnormality has occurred is equal to or greater than a predetermined threshold (5) and whether the abnormality is one that can be restored to a normal state over time, by referring to actual weather data within the area (snowfall, heavy rain, etc.). Specifically, the abnormality determination unit 65 determines whether the weather sensor module 1 is in a normal or abnormal state (sensor abnormality, area abnormality) using the following calculation formula (1).

[0064] F = (number of error weather sensor modules in the area) / (number of all weather sensor modules in the area) × correction coefficient × 100 (1) The correction coefficient is a coefficient for preventing the F value from becoming extremely large when the number of weather sensor modules 1 installed in the monitoring area is small. As a result, when F = 0, the abnormality determination unit 65 determines that the weather sensor module 1 is normal.

[0065] Also, when 0 < F < the threshold value for area abnormality determination, the abnormality determination unit 65 determines that the occurring abnormality is an abnormality (abnormality requiring maintenance) that has occurred in the weather sensor module 1 alone. Furthermore, when the threshold value for area abnormality determination < F, the abnormality determination unit 65 determines that the occurring abnormality is due to the influence of snowfall in the area and is an abnormality (area abnormality) that can return to a normal state over time.

[0066] In the example shown in FIG. 12, since abnormalities in the detection values of the rain gauges 20 have occurred in 5 of the 9 weather sensor modules 1 within the area, when the weather data in that area obtained from the external service 70 includes information such as snow accumulation or heavy rain, it is determined that the abnormalities of those weather sensor modules 1 are abnormalities that can return to a normal state over time.

[0067] Note that the error codes displayed in FIGS. 11 and 12 are stored in the storage unit 63 as the error code table shown in FIG. 13. Specifically, error code ID: E001 indicates an abnormality at the time of startup of the weather sensor module 1, error code ID: E002 indicates a communication failure (disconnection or IC failure) with the weather sensor module 1, error code ID: E003 indicates that the upper and lower threshold values of the weather data detected by the weather sensor module 1 have been exceeded, and error code ID: E004 indicates an abnormality in the weather data detected by the weather sensor module 1 (CRC (Cyclic Redundancy Check) error).

[0068] Furthermore, as shown in FIGS. 14(a) and 14(b), the information on the abnormality determination results of the weather sensor modules 1 installed for each of the plurality of areas included in the maps shown in FIGS. 8 and 9 is managed for each of the areas A, B, C, D and stored in the storage unit 63 of the cloud server 60. Specifically, for example, if an abnormality occurs in a single weather sensor module 1 in area A, the area status will be displayed as normal and the weather sensor status will be displayed as abnormal in the area ID: A column, as shown in Figure 14(a), and the weather sensor ID: 1 in which the abnormality occurred will be managed together with the threshold value (units) set for each area.

[0069] On the other hand, for example, if an abnormality occurs in multiple weather sensor modules 1 in area A, as shown in Figure 14(b), the area status will be displayed as "abnormal" and the weather sensor status will be displayed as "abnormal" in the area ID: A column, and the weather sensor IDs: 1, 2, 3, 4, 5 where the abnormality occurred will be managed together with the threshold value (units) set for each area. The notification unit 67 notifies the user terminal device (user) 80 based on the determination result by the abnormality determination unit 65. Specifically, the notification unit 67 transmits to the user terminal device 80 information (installation location, type of abnormality, etc.) about the weather sensor modules 1 that require maintenance (or do not require maintenance) among the weather sensor modules 1 in which an abnormality has occurred.

[0070] <Method for determining abnormalities in weather sensor module 1> In the weather sensor system 100 of this embodiment, the cloud server 60 determines whether an abnormality that has occurred in a plurality of weather sensor modules 1 is an abnormality that can be restored to a normal state over time. Here, the method of determining whether or not there is an abnormality in the weather sensor module 1, which is executed by the cloud server 60, will be described below with reference to FIG.

[0071] That is, when the weather sensor module 1 is powered on in step S11, the control unit 50 of the weather sensor module 1 acquires sensor data from each sensor included in the sensor unit 51 in step S12. Next, in step S13, the control unit 50 of the weather sensor module 1 stores the sensor data acquired from the sensor unit 51 in the storage unit 52.

[0072] Next, in step S14, the sensor abnormality determination unit 53 determines whether or not there is an abnormality in the weather sensor module 1, for example, whether or not the acquired sensor data has a value exceeding a predetermined threshold value. If it is determined that there is an abnormality, the process proceeds to step S15, and if it is determined that there is no abnormality, the process proceeds to step S16.

[0073] Next, in step S15, since it is determined in step S14 that there is an abnormality in the weather sensor module 1, the sensor abnormality determination unit 53 gives an error (abnormality) to the control unit 50. Next, in step S16, the sensor data and error information acquired by the weather sensor module 1 are transmitted to the cloud server 60 via the communication unit .

[0074] Next, in step S17, the control unit 62 stores the sensor data and error information acquired from the weather sensor module 1 by the data acquisition unit 61 of the cloud server 60 in the storage unit 63. Next, in step S18, the data acquisition unit 61 in the cloud server 60 acquires the area ID of the area in which the weather sensor module 1 corresponding to the sensor data acquired in step S17 is installed.

[0075] Next, in step S19, the abnormality determination unit 65 determines whether or not there is an error (abnormal) weather sensor module 1 among the multiple weather sensor modules 1 installed in the area with the area ID acquired in step S18. If there is an error in the weather sensor module 1 in the area, the process proceeds to step S20, and if there is no error in the weather sensor module 1, the process proceeds to step S25.

[0076] Next, in step S20, since it was determined in step S19 that there is an erroneous weather sensor module 1 in the area, the threshold determination unit 64 determines whether the number of erroneous weather sensor modules 1 in the area is greater than or equal to a predetermined threshold. If the number of erroneous weather sensor modules 1 in the area is equal to or greater than a predetermined threshold, the process proceeds to step S21, and if it is less than the predetermined threshold, the process proceeds to step S24.

[0077] Next, in step S21, since it was determined in step S20 that the number of erroneous weather sensor modules 1 in the area is equal to or greater than a predetermined number, the data acquisition unit 61 acquires weather information (e.g., information on snow accumulation, heavy rain, etc.) for the region including the area from the external service 70. Next, in step S22, it is determined whether or not snow accumulation information is included in the weather information acquired in step S21. If snow accumulation information is included, the process proceeds to step S23, and if not, the process proceeds to step S24.

[0078] Next, in step S23, since it was determined in step S22 that the weather information acquired in step S21 includes snow accumulation information, the notification unit 67 of the cloud server 60 notifies the user terminal device 80 that there is a possibility that a "temporary abnormality occurring throughout the area" (an abnormality that does not require maintenance) has occurred. On the other hand, in step S24, since it was determined in step S20 that the number of erroneous weather sensor modules 1 in the area was less than a predetermined number, or it was determined in step S22 that there was no snow accumulation information in the area, the notification unit 67 of the cloud server 60 notifies the user terminal device 80 that there may be an ``abnormality in the weather sensor module 1 alone'' (an abnormality requiring maintenance).

[0079] The notification contents in steps S23 and S24 may be displayed on the display unit 66 of the cloud server 60. Next, in step S25, the weather data is notified to the user terminal device 80, and the process returns to step S12.

[0080] <Major features> 1, the cloud server 60 that determines whether or not an abnormality has occurred in the weather sensor module 1 of this embodiment includes a data acquisition unit 61 and an abnormality determination unit 65. The data acquisition unit 61 acquires, from the weather sensor module 1, weather data detected by the weather sensor module 1 and abnormality determination data that determines whether or not an abnormality has occurred in the weather sensor module 1. The data acquisition unit 61 externally acquires weather data for the location where the weather sensor module 1 is installed. The abnormality determination unit 65 determines whether or not the abnormality can be restored to a normal state over time, based on the presence or absence of an abnormality for each weather sensor module 1 in a predetermined area where multiple weather sensor modules 1 are installed, acquired by the data acquisition unit 61, and the weather data acquired by the data acquisition unit 61.

[0081] As a result, even if a temporary abnormality occurs in the weather sensor module 1 due to snowfall or heavy rain, for example, it is possible to determine whether the abnormality is one that can be restored to a normal state over time, eliminating the need to dispatch maintenance personnel to the installation site. As a result, it is possible to determine whether or not the detected abnormality in the weather sensor module 1 is an abnormality that requires maintenance, and to minimize the number of maintenance personnel dispatched to the installation site.

[0082] (Embodiment 2) The gateway (abnormality determination device) 210 that performs abnormality determination for a weather sensor module (weather sensor) 1 according to another embodiment of the present invention and the weather sensor system 200 equipped with the same will be described below with reference to Figures 16 to 18. In the configuration shown in FIG. 16, components having the same functions as those in the first embodiment are given the same reference numerals, and detailed description thereof will be omitted.

[0083] In the above-described first embodiment, an example has been described in which the cloud server 60 is the entity that determines whether an abnormality that has occurred in each weather sensor module 1 is an abnormality that can be restored to a normal state over time. In the weather sensor system 200 of this embodiment, as shown in FIG. 16, a gateway (abnormality determination device) 210 connected to multiple weather sensor modules 1 via communication lines such as LoRa or Wi-fi (registered trademark) functions as the entity that determines whether an abnormality that occurs in each weather sensor module 1 is an abnormality that can be restored to a normal state over time.

[0084] In the weather sensor system 200, as shown in FIG. 16, the gateway 210 includes a data acquisition unit 211, a control unit 212, a storage unit 213, a threshold determination unit 214, an abnormality determination unit 215, and a notification unit 216. 16, cloud server 260 includes a data acquisition unit 61, a control unit 62, a storage unit 63, a display unit 66, and a notification unit 67. That is, in this embodiment, cloud server 260 differs from the configuration described in the first embodiment above in that it does not include a configuration for performing abnormality determination.

[0085] The data acquisition unit (data acquisition unit, external data acquisition unit) 211 acquires, from the weather sensor module 1, weather data detected by the weather sensor module 1 and abnormality determination data that determines whether or not there is an abnormality in the weather sensor module 1. The data acquisition unit 211 acquires weather data for the location where the weather sensor module 1 is installed from an external service 70. The data acquisition unit 61 also functions as an external data acquisition unit, and acquires snowfall information as weather data.

[0086] The control unit 212 is configured by a CPU (Central Processing Unit) and other circuits, and is connected to the data acquisition unit 211, the storage unit 213, the abnormality determination unit 215, and the notification unit 216, and controls each unit. The storage unit 213 stores the weather data and abnormality determination data acquired by the data acquisition unit 211, and the weather data acquired by the data acquisition unit 211 from the external service 70.

[0087] The weather data detected by the weather sensor module 1 and stored in the memory unit 213 includes, for example, the detection time, the weather sensor module ID (Identification) assigned to each of the multiple weather sensor modules 1, temperature (°C), humidity (%RH), illuminance (lux), wind speed (m / s), wind direction (°), rainfall (mm / h) and atmospheric pressure (hPa). In addition, the memory unit 213 stores the installation location (latitude and longitude), altitude (m), installation location information (flat land, mountain, etc.) for each of the multiple weather sensor modules 1, and an area ID indicating which area the module is installed in among areas previously set as city, town, region, etc.

[0088] The threshold determination unit 214 determines whether the number of erroneous (abnormal) weather sensor modules 1 in an area is equal to or greater than a predetermined threshold. In other words, the threshold determination unit 214 determines whether, of the multiple weather sensor modules 1 installed in a predetermined area, a number equal to or greater than a predetermined threshold are simultaneously in an error state. The abnormality determination unit 215 determines whether or not an abnormality exists for each weather sensor module 1 in a specified area where multiple weather sensor modules 1 are installed, as acquired by the data acquisition unit 211, and based on the weather data acquired by the data acquisition unit 211 from the external service 70, whether or not the abnormality can be restored to a normal state over time.

[0089] In particular, the abnormality determination unit 215 uses the snow accumulation information acquired by the data acquisition unit 211 to determine whether or not the weather sensor module 1 is experiencing an abnormality that can be recovered from over time. The abnormality determination unit 215 refers to weather data (information on snowfall, heavy rain, etc.) obtained from the external service 70, and if the number of weather sensor modules 1 determined to have experienced an abnormality in a specified area exceeds a specified threshold, it determines that these abnormalities are not abnormalities that require maintenance, but are abnormalities caused by snowfall, etc. that can be resolved over time.

[0090] The predetermined area that is the target of the abnormality determination of the weather sensor module 1 is set in advance to include a plurality of weather sensor modules 1. The notification unit 216 notifies the user terminal device (user) 80 based on the determination result by the abnormality determination unit 215. Specifically, the notification unit 216 transmits to the user terminal device 80 information (installation location, type of abnormality, etc.) about the weather sensor modules 1 that require maintenance (or do not require maintenance) among the weather sensor modules 1 in which an abnormality has occurred.

[0091] In this embodiment, the storage unit 213 stores information about the monitoring area shown in FIG. Specifically, as shown in Figure 17(a), the area ID, the installation location (latitude and longitude) of the gateway 210, the radius of the monitoring area (m), the correction coefficient for abnormality determination, and the area abnormality determination threshold (%) are stored as management area information.

[0092] Information about the installation location (latitude and longitude) of gateway 210 is used for area setting together with, for example, the radius of the monitoring area. This allows gateway 210 to take charge of area setting by cloud server 260, thereby simplifying the system of cloud server 260. The results of the judgment by the abnormality judgment unit 215 of the gateway 210 are then stored in the memory unit 213 as the area ID, area status (normal, abnormal), weather sensor status (normal, abnormal), and weather sensor ID (1 to 10) that is in error, as shown in Figure 17(b).

[0093] For example, in area C shown in Figure 17(b), the area condition is normal and the weather sensor condition is determined to be abnormal, so it can be seen that the abnormality occurring in area C of the weather sensor module 1 is an abnormality of the weather sensor module 1 alone (disconnection, IC failure, etc.), is not related to the weather, and is an abnormality that requires maintenance. On the other hand, in area E shown in Figure 17(b), the area state is abnormal and the weather sensor state is also determined to be abnormal, so if the weather information includes snow accumulation information, it can be determined that the abnormality in the weather sensor module 1 occurring in area E is not an abnormality in the weather sensor module 1 alone, but a temporary abnormality caused by the effects of snowfall in the area (an abnormality that can return to a normal state over time).

[0094] Then, in the weather sensor system 200 shown in FIG. 16, an abnormality determination process is carried out in accordance with the flowchart shown in FIG. That is, steps S31 to S35 are similar to steps S11 to S15 in the flowchart of FIG. 15 in the first embodiment described above. Next, in step S36, the sensor data acquired by the weather sensor module 1 and the error information are transmitted to the gateway 210 via the communication unit .

[0095] Next, in step S37, the control unit 212 stores the sensor data and error information acquired from the weather sensor module 1 by the data acquisition unit 211 of the gateway 210 in the storage unit 213. Next, in step S38, notification unit 216 of gateway 210 transmits the sensor data to cloud server 60 via communication network NW.

[0096] Next, in step S39, the control unit 62 of the cloud server 60 stores the sensor data acquired by the data acquisition unit 61 in the storage unit 63. Next, in step S40, the data acquisition unit 211 in the gateway 210 acquires the area ID of the area in which the weather sensor module 1 corresponding to the sensor data acquired in step S39 is installed.

[0097] Next, in step S41, the abnormality determination unit 215 determines whether or not there is an error (abnormal) weather sensor module 1 among the multiple weather sensor modules 1 installed in the area with the area ID acquired in step S40. If there is an error weather sensor module 1 in the area, the process proceeds to step S42, and if there is no error weather sensor module 1 in the area, the process proceeds to step S47.

[0098] Next, in step S42, since it was determined in step S41 that there is an erroneous weather sensor module 1 in the area, the threshold determination unit 214 determines whether the number of erroneous weather sensor modules 1 in the area is greater than or equal to a predetermined threshold. If the number of erroneous weather sensor modules 1 in the area is equal to or greater than the predetermined threshold, the process proceeds to step S43, and if it is less than the predetermined threshold, the process proceeds to step S46.

[0099] Next, in step S43, since it was determined in step S42 that the number of erroneous weather sensor modules 1 in the area is equal to or greater than a predetermined number, the data acquisition unit 211 acquires weather information (e.g., information on snow accumulation, heavy rain, etc.) for the region including the area from the external service 70. Next, in step S44, it is determined whether or not snow accumulation information is included in the weather information acquired in step S43. If snow accumulation information is included, the process proceeds to step S45, and if not, the process proceeds to step S46.

[0100] Next, in step S45, since it was determined in step S44 that the weather information acquired in step S43 includes snowfall information, the notification unit 216 of the gateway 210 notifies the user terminal device 80 that there is a possibility that a "temporary abnormality occurring throughout the area" (an abnormality that does not require maintenance) has occurred.

[0101] On the other hand, in step S46, since it was determined in step S42 that the number of erroneous weather sensor modules 1 in the area was less than a predetermined number, or since it was determined in step S44 that there was no snow accumulation information in the area, the notification unit 216 of the gateway 210 notifies the user terminal device 80 that there may be an ``abnormality in the weather sensor module 1 alone'' (an abnormality requiring maintenance). Next, in step S47, the weather data is notified to the user terminal device 80, and the process returns to step S32.

[0102] [Other embodiments] Although one embodiment of the present invention has been described above, the present invention is not limited to the above embodiment, and various modifications are possible without departing from the gist of the invention.

[0103] (A) In the above embodiment, the present invention has been described as being implemented as an abnormality determination device and an abnormality determination method for a weather sensor, but the present invention is not limited to this. For example, the present invention may be realized as an abnormality determination program that causes a computer to execute the above-described method for determining an abnormality in a weather sensor.

[0104] The weather sensor abnormality determination program is stored in a memory (storage unit) installed in the abnormality determination device, and the CPU reads the abnormality determination program stored in the memory and causes the hardware to execute each step. More specifically, the CPU reads the abnormality determination program and executes each of the steps described above, thereby achieving the same effects as those described above. The present invention may also be realized as a recording medium storing a weather sensor abnormality determination program.

[0105] (B) In the above embodiment, an example has been described in which an area indicated by a circle is set in advance within the range of a city, town, region, etc. in which the weather sensor module 1 is installed, as shown in Fig. 8. However, the present invention is not limited to this. For example, as shown in FIG. 19, a circular range with a radius of R km centered on the position of a reference weather sensor module 1 among the weather sensor modules 1 in which an abnormality has occurred may be set as the judgment area.

[0106] In this case, in step S18 of the flowchart shown in Figure 15, "the position of the weather sensor module 1 that detected the sensor data acquired by the cloud server 60 is acquired," and in step S19, it is determined "whether there is an error weather sensor module 1 within an area within a certain distance from the position acquired by the cloud server 60." As shown in Figure 19, for multiple weather sensor modules 1 (▲) within an area that are determined to be abnormal, if the sensor unit 51 (e.g., rainfall sensor 20, etc.) is unable to sense due to, for example, snowfall or heavy rain, over time, as the snow melts or the heavy rain stops, the weather sensor modules 1 within an area of ​​radius R km will return to a normal state (■), as shown in Figure 20.

[0107] As a result, the abnormality determination unit 65, 215 determines that multiple weather sensor modules 1 that are determined to have an abnormality within the area shown in Figures 19 and 20 are abnormalities that can be restored to a normal state over time, thereby minimizing the need to dispatch maintenance personnel.

[0108] (C) In the above embodiment, an example was described in which snow accumulation information was used to determine whether an abnormality in the weather sensor module 1 can be restored to a normal state over time (area abnormality). However, the present invention is not limited to this. For example, weather information such as localized heavy rain, hail, and sleet in the area where the linear rain band occurred may be used to determine whether the abnormality (area abnormality) is one that can be restored to a normal state over time.

[0109] (D) In the above embodiment, an example has been described in which the data acquisition unit 61, 211 acquires detected weather data and abnormality determination data from the weather sensor module 1, and also acquires weather information for the area in which the weather sensor module 1 is installed from an external service 70 that provides weather information. However, the present invention is not limited to this. For example, the configuration may include a data acquisition unit that acquires weather data and abnormality determination data detected by a weather sensor, and an external data acquisition unit that acquires weather information from an external service, each of which is provided separately.

[0110] (E) In the above embodiment, an example has been described in which the amount of rainfall, wind (wind speed and direction), temperature, humidity, and atmospheric pressure are detected as meteorological data in the weather sensor module 1. However, the present invention is not limited to this. For example, the weather sensor may detect only a part of the weather data described above, or may detect weather data other than the weather data described above.

[0111] (F) In the above embodiment, an example has been described in which whether an abnormality (area abnormality) can be restored to a normal state over time is determined based on whether the number of weather sensor modules 1 in which the abnormality occurred is equal to or greater than a predetermined threshold relative to the total number of weather sensor modules 1 installed in the area. However, the present invention is not limited to this. For example, without determining the number of weather sensors in an area that have experienced an abnormality, it is possible to refer to weather information such as snowfall in the area obtained from outside and determine whether the abnormality (area abnormality) can be restored to a normal state over time.

[0112] (G) In the above embodiment, an example has been described in which weather data for each region is detected using the weather sensor module 1 having the structure shown in Figures 2 to 5. However, the present invention is not limited to this. The structure, shape, and function of the weather sensor are not limited to the structure and the like described in the above embodiment, and various weather sensors can be used.

[0113] <Additional Notes> The weather sensor abnormality determination device according to the first aspect of the present invention comprises: An abnormality determination device that determines whether or not an abnormality has occurred in a weather sensor, a data acquisition unit that acquires, from the weather sensor, weather data detected by the weather sensor and abnormality determination data that determines whether or not there is an abnormality in the weather sensor; an external data acquisition unit that acquires weather data at a location where the weather sensor is installed from an external source; an abnormality determination unit that determines whether an abnormality can be restored to a normal state over time based on the presence or absence of an abnormality for each of the weather sensors in a predetermined area where the plurality of weather sensors are installed, which is acquired by the data acquisition unit, and the weather data acquired by the external data acquisition unit; It is equipped with:

[0114] A weather sensor abnormality determination device according to a second aspect of the present invention is the weather sensor abnormality determination device according to the first aspect of the present invention, The external data acquisition unit acquires snow accumulation information as the weather data. A weather sensor abnormality determination device according to a third aspect of the present invention is the weather sensor abnormality determination device according to the second aspect of the present invention, The abnormality determination unit determines whether the weather sensor is experiencing an abnormality that can be recovered from over time, using the snow accumulation information acquired by the external data acquisition unit.

[0115] A weather sensor abnormality determination device according to a fourth aspect of the present invention is the weather sensor abnormality determination device according to any one of the first to third aspects of the present invention, When the number of the weather sensors in the predetermined area determined to have an abnormality exceeds a predetermined threshold, the abnormality determination unit determines that the abnormality is recoverable over time. A weather sensor abnormality determination device according to a fifth aspect of the present invention is a weather sensor abnormality determination device according to any one of the first to fourth aspects of the present invention, The abnormality determination data includes one of no response, weather data exceeding an upper or lower threshold, and abnormal data.

[0116] A weather sensor abnormality determination device according to a sixth aspect of the present invention is a weather sensor abnormality determination device according to any one of the first to fifth aspects of the present invention, The predetermined area is set in advance to include a plurality of the weather sensors. A weather sensor abnormality determination device according to a seventh aspect of the present invention is a weather sensor abnormality determination device according to any one of the first to sixth aspects of the present invention, The predetermined area is set as a range within a predetermined distance centered on a reference weather sensor that serves as a reference among the plurality of weather sensors.

[0117] An eighth aspect of the present invention is a weather sensor abnormality determination device according to any one of the first to seventh aspects of the present invention, The data acquisition unit acquires at least one of data on temperature, humidity, illuminance, wind speed, wind direction, rainfall, and atmospheric pressure. A weather sensor abnormality determination device according to a ninth aspect of the present invention is a weather sensor abnormality determination device according to any one of the first to eighth aspects of the present invention, The weather forecasting system further includes a storage unit that stores the weather data and abnormality determination data acquired by the data acquisition unit and the weather data acquired by the external data acquisition unit.

[0118] A weather sensor abnormality determination device according to a tenth aspect of the present invention is a weather sensor abnormality determination device according to any one of the first to ninth aspects of the present invention, The device further includes a display unit that displays the determination result of the abnormality determination unit. An eleventh aspect of the present invention is a weather sensor abnormality determination device according to any one of the first to tenth aspects of the present invention, The device further includes a notification unit that notifies a user based on the determination result of the abnormality determination unit.

[0119] A weather sensor system according to a twelfth aspect of the present invention comprises: An abnormality determination device for a weather sensor according to any one of the first to eleventh inventions; the plurality of weather sensors; It is equipped with: [Industrial Applicability]

[0120] The weather sensor abnormality determination device of the present invention has the effect of being able to determine whether the abnormality will be resolved over time and the device will be able to return to a normal state, and therefore can be widely applied to various systems such as weather sensor systems that manage weather sensors and agricultural monitoring systems. [Explanation of symbols]

[0121] 1 Weather sensor module (weather sensor) 10 Wind Sensor 11a, 11b, 11c, 11d Ultrasonic sensors 12 base 12a Top side 13 Reflective surface 14 Column members 15 Base 20 Rainfall sensor 21 Housing 21a opening 21b Inner wall 22a Light source section 22b Light receiving part 23 Legs 24 base 30 Illuminance sensor 40a Temperature and humidity sensor 40b Barometric pressure sensor 50 control section 51 Sensor unit 52 Storage section 53 Sensor abnormality determination unit 54 Communications Department 60 Cloud server (anomaly detection device) 61 Data acquisition unit (data acquisition unit, external data acquisition unit) 62 Control Unit 63 Memory section 64 Threshold judgment unit 65 Abnormality determination section 66 Display section 67 Notification Department 70 External Services (External) 80 User terminal device 100 Weather Sensor System 200 Weather Sensor System 210 Gateway (Abnormality detection device) 211 Data acquisition unit (data acquisition unit, external data acquisition unit) 212 Control Unit 213 Storage section 214 Threshold judgment unit 215 Abnormality judgment section 216 Notification Department NW communication network

Claims

1. An abnormality determination device that determines whether or not an abnormality has occurred in a weather sensor, a data acquisition unit that acquires, from the weather sensor, weather data detected by the weather sensor and abnormality determination data that determines whether or not there is an abnormality in the weather sensor; an external data acquisition unit that acquires weather data at a location where the weather sensor is installed from an external source; an abnormality determination unit that determines whether an abnormality can be restored to a normal state over time based on the presence or absence of an abnormality for each of the weather sensors in a predetermined area where the plurality of weather sensors are installed, which is acquired by the data acquisition unit, and the weather data acquired by the external data acquisition unit; An abnormality determination device for a weather sensor comprising:

2. the external data acquisition unit acquires snow accumulation information as the weather data. The weather sensor abnormality determination device according to claim 1 .

3. the abnormality determination unit determines whether the weather sensor is experiencing an abnormality that can be recovered from over time, using the snow accumulation information acquired by the external data acquisition unit; The weather sensor abnormality determination device according to claim 2.

4. When the number of the weather sensors in the predetermined area in which an abnormality has occurred exceeds a predetermined threshold, the abnormality determination unit determines that the abnormality is recoverable over time. The weather sensor abnormality determination device according to claim 1 or 2.

5. The abnormality determination data includes one of no response, weather data exceeding an upper threshold or a lower threshold, and abnormal data. The weather sensor abnormality determination device according to claim 1 or 2.

6. The predetermined area is preset to include a plurality of the weather sensors. The weather sensor abnormality determination device according to claim 1 or 2.

7. The predetermined area is set as a range of a predetermined distance centered on a reference weather sensor serving as a reference among the plurality of weather sensors. The weather sensor abnormality determination device according to claim 1 or 2.

8. the data acquisition unit acquires at least one of data on temperature, humidity, illuminance, wind speed, wind direction, rainfall, and atmospheric pressure; The weather sensor abnormality determination device according to claim 1 or 2.

9. The weather information acquisition device further includes a storage unit configured to store the weather data and abnormality determination data acquired by the data acquisition unit and the weather data acquired by the external data acquisition unit. The weather sensor abnormality determination device according to claim 1 or 2.

10. Further provided is a display unit that displays the determination result of the abnormality determination unit. The weather sensor abnormality determination device according to claim 1 or 2.

11. The device further includes a notification unit that notifies a user based on a determination result by the abnormality determination unit. The weather sensor abnormality determination device according to claim 1 or 2.

12. The weather sensor abnormality determination device according to claim 1 or 2; A plurality of said weather sensors; A weather sensor system comprising:

13. An abnormality determination method for determining whether or not an abnormality has occurred in a weather sensor, comprising: a data acquisition step of acquiring, from the weather sensor, weather data detected by the weather sensor and abnormality determination data that determines whether or not the weather sensor has an abnormality; an external data acquisition step of externally acquiring weather data at a location where the weather sensor is installed; an abnormality determination step of determining whether or not the abnormality can be restored to a normal state over time based on the presence or absence of an abnormality for each of the weather sensors in a predetermined area where the plurality of weather sensors are installed, which is acquired in the data acquisition step, and the weather data acquired in the external data acquisition step; A method for determining an abnormality in a weather sensor comprising:

14. An abnormality determination program for determining whether an abnormality has occurred in a weather sensor, a data acquisition step of acquiring, from the weather sensor, weather data detected by the weather sensor and abnormality determination data that determines whether or not the weather sensor has an abnormality; an external data acquisition step of externally acquiring weather data at a location where the weather sensor is installed; an abnormality determination step of determining whether or not the abnormality can be restored to a normal state over time based on the presence or absence of an abnormality for each of the weather sensors in a predetermined area where the plurality of weather sensors are installed, which is acquired in the data acquisition step, and the weather data acquired in the external data acquisition step; An abnormality determination program that causes a computer to execute a method for determining an abnormality in a weather sensor having the above-mentioned components.

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