JP2023064248A - Electric installation inspection system, electric installation inspection device, electric installation inspection method, and electric installation inspection program - Google Patents

Abstract

To provide an electric installation inspection system, an electric installation inspection device, an electric installation inspection method, and an electric installation inspection program that allow detection of various failure modes.SOLUTION: An electric installation inspection system 1 includes: a sensor that is capable of detecting sensor information of an electric installation; an acquisition unit that obtains external information 70 related to the electric installation; and a control unit 211 that obtains a determination result with regard to an abnormality corresponding to a combination of the sensor information and the external information 70.SELECTED DRAWING: Figure 1

Description

The present invention relates to an electrical equipment inspection system, an electrical equipment inspection device, an electrical equipment inspection method, and an electrical equipment inspection program.

Conventionally, there have been proposed apparatuses for identifying an abnormal point in electrical equipment. For example, in Patent Document 1, equipment status information acquisition means for acquiring equipment status information including image information indicating the status of electrical equipment, and a plurality of divided monitoring areas for the electrical equipment based on the image information are set. Monitoring area setting means, abnormality determination means for determining whether an abnormality has occurred based on temporal changes in facility status information for each monitoring area, and monitoring areas in which an abnormality has occurred are specified based on the determination result of the abnormality determination means. An electrical equipment abnormal point identification device is disclosed, which includes an abnormal point identification means.

JP 2010-183734

Abnormal conditions in electrical equipment may result from various failure modes. Therefore, it may be difficult to detect various anomalies in electrical equipment in determinations based on temporal changes in image anomalies and temperature anomalies, such as the technique of Patent Document 1.

The present invention has been made to solve such problems, and its object is to provide an electrical equipment inspection system, an electrical equipment inspection device, an electrical equipment inspection method, and an electrical equipment that can detect various failure modes. It provides an inspection program.

To achieve the above object, an electrical equipment inspection system according to the present invention includes a sensor capable of detecting sensor information of electrical equipment, an acquisition unit for acquiring external information related to the electrical equipment, and the sensor information. and a control unit that obtains a determination result regarding an abnormality corresponding to the combination of the external information.

In order to achieve the above object, an electrical equipment inspection device according to the present invention is communicably connected to a sensor capable of detecting sensor information of electrical equipment and an external device having external information related to the electrical equipment, A determination result regarding abnormality is obtained in accordance with the combination of the sensor information and the external information.

In order to achieve the above object, an electrical equipment inspection method according to the present invention includes a sensor capable of detecting sensor information of the electrical equipment, and an acquisition unit for acquiring external information related to the electrical equipment. A method for inspecting electrical equipment in an inspection system, comprising the step of obtaining a determination result regarding an abnormality corresponding to a combination of the sensor information and the external information.

In order to achieve the above object, an electrical equipment inspection program according to the present invention includes a sensor capable of detecting sensor information of electrical equipment and an acquisition unit for acquiring external information related to the electrical equipment. A program for inspecting electric equipment of a system, which causes a computer to execute a step of obtaining a determination result regarding an abnormality in accordance with a combination of the sensor information and the external information.

According to the electrical equipment inspection system, the electrical equipment inspection device, the electrical equipment inspection method, and the electrical equipment inspection program according to the present invention using the above means, it is possible to detect various failure modes.

1 is an overall configuration diagram of an electrical equipment inspection system according to an embodiment of the present invention; FIG. It is a control block diagram of a cubicle and an external device. It is a figure which shows the inspection / measurement item corresponding to each sensor, a monitoring object, and the kind of abnormal pattern. It is a figure which shows weather information, temperature information, and humidity information. It is a figure which shows assumption salt content information and update recommendation time information. It is a figure which shows road traffic volume information and pollution degree information. It is a figure which shows customer information, equipment information, inspection history information, and repair history information. It is a figure which shows a 1st determination table. It is a figure which shows a 2nd determination table. It is a figure which shows the example of the combination of sensor information and external information. It is a figure which shows a 3rd determination table. It is a block diagram of the processing flow in an electric equipment inspection system.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described based on the drawings.

FIG. 1 is an overall configuration diagram of an electrical equipment inspection system 1 according to an embodiment of the present invention. 2 is a control block diagram of the cubicle 2. As shown in FIG. In addition, in the description of the present embodiment, each device and communication connection relationship in each drawing are schematically shown.

The electrical equipment inspection system 1 includes a cubicle 2 that is electrical equipment, a gateway 21 that is an electrical equipment inspection device provided in the cubicle 2, an output device 3 that is an output unit capable of outputting information of the cubicle 2, and an external device 5. and an external device 6 . The cubicle 2, the external device 5 and the output device 3 are communicably connected via the network 4. FIG. Also, the cubicle 2 is connected to an external network 4 via a gateway 21 . A plurality of cubicles 2 may be connected to the network 4 . Also, a plurality of output devices 3 and external devices 5 may be provided.

The cubicle 2 is a private high-voltage power receiving facility that allows a consumer to receive power in the premises from a transmission and distribution line and transform the voltage. The cubicle 2 includes a gateway 21, a controller 22, and a plurality of sensors 23, as shown in FIG. The plurality of sensors 23 include a high voltage insulation sensor 23b, a camera 23c, a temperature sensor 23d, a gas sensor 23e, a multimeter 23f, a low voltage insulation sensor 23g, a dust sensor 23h, a vibration sensor 23i, a water level sensor 23j, a humidity sensor 23k, and a tracking sensor 23l. , an overheat sensor 23m, a liquid leakage sensor 23n, an oil amount sensor 23o, a ground wire disconnection sensor 23p, and a dew condensation sensor 23q. The sensor 23 is configured to be capable of detecting sensor information (monitoring elements) such as a detection value indicating the state of the cubicle 2 and an evaluation value of image data. The control unit 22 acquires sensor information 20 such as detection values and image data from each sensor 23 and transmits the sensor information 20 to the gateway 21 .

FIG. 3 is a diagram showing inspection/measurement items 241 and monitoring targets 242 corresponding to each sensor 23. As shown in FIG. The inspection/measurement items 241 of the cubicle 2 in this embodiment show examples of items that can be mainly inspected and measured by each sensor 23 .

The monitored object 242 mainly indicates which part of the cubicle 2 can be monitored. Note that the monitoring target 242 is not limited to the one shown in the figure, depending on the type of the sensor 23, the placement location of the sensor 23, and the placement method.

Returning to FIG. 2, the gateway 21 determines the abnormality of the cubicle 2 based on the sensor information 20 (detected values, image data, etc.) obtained from each sensor 23 and the external information 70 obtained from the external device 5 by the control unit 211. I do. The gateway 21 includes a control unit 211, a storage unit 212, and a communication unit 213 (acquisition unit). The storage unit 212 stores threshold values that are criteria used to determine whether the cubicle 2 is abnormal, determination tables 81, 82, and 83, weight setting values α _i and β _j used to calculate the degree of risk described later, and the like. The storage unit 212 also stores various programs such as an electrical equipment inspection program 212a capable of executing an electrical equipment inspection method, which will be described later in the processing flow of FIG. 12 .

The communication unit 213 is configured to communicate with an external device (for example, the output device 3 or the external device 5) via the network 4, and relays communication with the cubicle 2 to transmit and receive information. The control unit 211 transmits, for example, the determination result regarding the abnormality of the cubicle 2 based on the sensor information 20 acquired from each sensor 23 and the external information 70 acquired from the external device 5 to the output device 3 via the communication unit 213. . Also, the control unit 211 can receive control instructions and the like for the cubicle 2 from the output device 3 via the communication unit 213 .

The external device 6 is, for example, an underground or overhead load switch, such as an underground line load switch (UGS (Underground Gas Switch)) or an air load switch (PAS (Pole Mounted Air Switch)). can be applied. The external device 6 also includes a high-voltage insulation sensor 23 a as the sensor 23 .

Here, details of each sensor 23 of the present embodiment will be described. The high-voltage insulation sensor 23a can detect the value of the ground fault current of the external device 6 as the sensor information 20 (or detect the value of the insulation resistance as the sensor information) and cause the control unit 211 to perform abnormality determination. . For example, the control unit 211 can determine that an abnormality has occurred when the ground fault current detected by the high-voltage insulation sensor 23a continues to flow for a predetermined period of time for a predetermined threshold value or more. In this embodiment, according to the ground fault current and the detection time detected by the high-voltage insulation sensor 23a, the abnormality determination result is divided into a plurality of levels (for example, the level is divided into a slight ground fault, insulation deterioration, etc.). Insulation degradation prior to fault can be detected in advance.

The high-voltage insulation sensor 23b detects the value of the insulation resistance of the high-voltage equipment as the sensor information 20. FIG. The control unit 211 can also classify the determination result of the insulation resistance value into a plurality of levels. For example, if the insulation resistance value is 30 MΩ or more, it is normal (no abnormality), and if it is 6 MΩ or more and less than 30 MΩ, caution is required. , and if it is less than 6 MΩ, it can be determined as abnormal. Further, the high-voltage insulation sensor 23b may function as a sound collecting sensor that detects sound in the audible range or the inaudible range emitted by the device as sensor information. High-voltage equipment sometimes generates sound as noise due to insulation deterioration. Therefore, this sound collection sensor can detect an abnormality in the high-voltage equipment accommodated in the cubicle 2 by detecting the frequency and sound pressure level related to insulation deterioration. Note that the high-voltage insulation sensor 23b may be configured to convert the collected sound into an insulation resistance value and perform an abnormality determination using, for example, the threshold value described above. Further, the sound collection sensor is not limited to high-voltage equipment, and may be used for detecting other equipment and abnormalities.

The cameras 23c are installed at one or more locations inside the cubicle 2, and detect an abnormality in the cubicle 2 from a differential image of a plurality of images taken inside the cubicle 2. FIG. Specifically, for example, the control unit 211 obtains a difference image from a plurality of images of the same range captured at different times by the camera 23c, and when the change in the difference image (for example, the change in the area or region of the difference) is large, It can be determined that the cubicle 2 is in an abnormal state. By monitoring changes in the difference image, it is possible to detect objects such as animals (for example, rats, snakes, etc.), plants, and soiled equipment that have entered the cubicle 2 . Note that the control unit 211 may identify an object that has entered the cubicle 2 by image processing.

Also, the control unit 211 converts the change in the image detected by the camera 23c into a detection value corresponding to the change level. For example, when the change in the difference image is large, or when the area or region of the difference is large, it is converted as a large detection value. Therefore, the camera 23c can detect detection values represented by numerical values as the sensor information 20. FIG.

The temperature sensor 23 d detects the temperature value of an arbitrary portion (for example, high-voltage power receiving equipment) within the cubicle 2 as the sensor information 20 . For example, when the change in temperature detected by the temperature sensor 23d (detected at predetermined time intervals (for example, every hour)) is large, the control unit 211 determines that the cubicle 2 has become abnormal.

The gas sensor 23e detects the concentration of gases such as VOCs (volatile organic compounds) generated from electric wires in the cubicle 2. FIG. The gas concentration value detected by the gas sensor 23e is acquired as the sensor information 20. FIG. The control unit 211 detects the gas concentration and performs abnormality determination at predetermined time intervals (for example, every hour). judge.

The multimeter 23f measures voltage and current for each bank (electric circuit system on the secondary side of the transformer). For example, in the case of lamp voltage, the voltage exceeds 107 V against the standard voltage of 101 V for one minute or more, or, in the case of the power voltage, the voltage exceeds the standard voltage of 202 V at 222 V for one minute or more. If it exceeds, it is determined that an abnormality has occurred in the cubicle 2 . For example, when the control unit 211 determines with the multimeter 23f that a current of about 120% or more of the rated current is flowing through the transformer in the cubicle 2 for about two hours or longer, the cubicle 2 It can be determined that an abnormality has occurred. The control unit 211 can acquire the voltage and current values acquired by the multimeter 23 f as the sensor information 20 .

The low voltage insulation sensor 23g detects the value of the insulation resistance (current) of the low voltage circuit as the sensor information 20. FIG. The control unit 211 determines that the low voltage circuit of the cubicle 2 has an abnormality when the insulation resistance of the low voltage circuit is equal to or less than a predetermined threshold value (for example, 50 mA or more as a current value). In addition, when the amount of change from the steady-state value of the current value detected by the low-voltage insulation sensor 23g is 50 mA or more, the control unit 211 determines that there is a possibility that a new leakage has occurred, and the low-voltage circuit of the cubicle 2 It may be determined that an abnormality has occurred in

The dust sensor 23h detects the amount of dust in the air inside the cubicle 2 as sensor information 20 in numerical form. The dust in the cubicle 2 is detected when the wires and equipment used in the cubicle 2 are dirty, the paint is peeled off or rusted, or when dust, dust, sand, pollen, or other fine particles enter the cubicle 2 from the outside. be done. The control unit 211 can determine that the dirt or the like of the cubicle 2 is abnormal when the amount of dust is equal to or greater than a predetermined threshold.

The vibration sensor 23i detects the magnitude of the vibration as the sensor information 20, and mainly detects deterioration of the insulation of the high-voltage equipment inside the cubicle 2, abnormality of the transformer, operation of the circuit breaker/load switch, and the like. . The vibration sensor 23i can also detect anomalies occurring outside the cubicle 2, such as earthquakes, ground subsidence, building collapses, and landslides. The vibration sensor 23i may be installed in the housing (wall or ceiling) of the cubicle 2 to detect vibration of the entire cubicle 2, or may be attached to a specific device to detect vibration generated in the monitored object. good too. The control unit 211 can determine that an abnormality has occurred in the cubicle 2 or equipment to be monitored when the vibration is abnormal with a predetermined threshold.

The water level sensor 23j detects, as sensor information 20, the water level inside the cubicle 2 installed indoors or outdoors (for example, an underground substation or a ground substation). Although not shown in FIG. 2, the water level sensor 23j may detect the water level inside the PAS or the service line manhole. The water level sensor 23j can detect excessive intrusion of rainwater or the like into the cubicle 2, the PAS, or the service line manhole, for example.

Humidity sensor 23 k detects the humidity in cubicle 2 as sensor information 20 . By using the humidity detection result of the humidity sensor 23k, the control unit 211 can, for example, predict the insulation resistance value detected by the high-voltage insulation sensor 23b and correct it to a more accurate value.

The tracking sensor 23l is a sensor capable of detecting the occurrence of tracking at the connecting portion of the load breaker in the cubicle 2, the connecting portion of the low voltage circuit, or the like. Tracking can be detected, for example, by measuring a voltage waveform and detecting a discharge waveform included in the voltage waveform. The control unit 211 acquires, as the sensor information 20, a value obtained by evaluating the magnitude or occurrence frequency of the discharge waveform, for example.

The overheat detection sensor 23m detects the temperature of the device main body and the connection terminal portion of the cubicle 2 as the sensor information 20 and makes an abnormality determination. The control unit 211 can determine that an abnormality has occurred in the cubicle 2 when the temperature detected by the overheat sensor 23m is equal to or higher than a predetermined threshold.

The leakage sensor 23n detects, as sensor information 20, the amount of leakage of oil or water around the equipment to be monitored, such as an oil-filled equipment (for example, a transformer) and an emergency power generator. The control unit 211 can determine that an abnormality has occurred in the cubicle 2 when the leakage amount is equal to or greater than a predetermined threshold.

The oil amount sensor 23o monitors the amount of oil (oil amount) in oil-filled equipment (for example, a transformer) and an emergency power generator as sensor information 20. FIG. The control unit 211 can determine that an abnormality has occurred in the cubicle 2 when the amount of oil is equal to or less than a predetermined threshold.

The ground wire disconnection sensor 23p can monitor the value of the ground resistance as the sensor information 20 by, for example, superimposing a voltage or current on the ground wire in the cubicle 2 and determine an abnormality.

The dew condensation sensor 23q detects an abnormality in the cubicle 2 by detecting the amount of water adhering to high-voltage equipment, inner walls, etc., in the cubicle 2 as sensor information 20. FIG. For example, the controller 211 can determine that there is an abnormality when the amount of moisture detected by the dew condensation sensor 23q is equal to or greater than a predetermined threshold.

It should be noted that other sensors may be used instead of the sensor 23 shown in FIG.

Next, the external information 70 provided from the external device 5 will be described. The external information 70 is information acquired from the external device 5 via the external network 4, and includes environmental information 71 around the cubicle 2 (electrical equipment) and equipment-related information 72 related to the cubicle 2 (electrical equipment). One or more may be included.

The environment information 71 includes weather information 71a, temperature information 71b, humidity information 71c, seismic intensity information 71d, estimated salinity information 71e, recommended update time information 71f, road traffic information 71g, pollution degree information 71h, and One or more of power outage information 71i, hazard map information 71j, and date and time information 71k may be included.

The weather information 71a shown in FIG. 4 includes, as examples of categories, "sunny", "sunny", "slightly cloudy", "cloudy", "smoke", "dust storm", "duststorm", "fog", and "drizzle". , "rain", "sleet", "snow", "hail", "hail" and "thunder".

The temperature information 71b includes, as examples of categories, "-20°C or less", "-20°C to -10°C", "-10°C to 0°C", "0°C to 10°C", and "10°C to 20°C". ", "20°C to 30°C", "30°C to 40°C", and "40°C or higher".

Humidity information 71c includes, as examples of categories, "0% to 10%", "10% to 20%", "20% to 30%", "30% to 40%", "40% to 50%", " 50% to 60%", "60% to 70%", "70% to 80%", "80% to 90%", "90% to 100%", "condensation".

The seismic intensity information 71d (not shown) includes seismic intensity classes "0", "1", "2", "3", "4", "Low 5", "High 5", "Low 6", "6 Strong" and "7" can be used.

The weather information 71a, the temperature information 71b, the humidity information 71c, and the seismic intensity information 71d can be obtained from the Meteorological Agency or the like, for example, corresponding to the area where the cubicle 2 is installed and the date and time when the abnormality determination is evaluated.

The assumed salt content information 71e indicates the assumed salt content adhesion amount for the device. As the assumed salinity amount information 71e, as shown in the example of FIG. 5, contamination classifications 71e1 "A", "B", "C", "D", and "E" can be used. Alternatively, it may be divided into salt-tolerant areas and non-salt-tolerant areas. The control unit 211 can acquire the estimated salt adhesion amount as the environmental information 71 by obtaining the pollution classification 71e1 based on the “approximate distance from the coast” for the location where the cubicle 2 is installed.

The recommended update time information 71f is information regarding the recommended update year of the device. In the recommended update time information 71f, a recommended update time 71f2 is set corresponding to the device type 71f1. The remaining period (years) until the equipment is updated differs for each cubicle 2 . Note that the control unit 211 may obtain the remaining period for each device type 71f1 as the recommended update timing information 71f.

The road traffic volume information 71g is information about the standard value of the road traffic volume correction classification. The road traffic information 71g includes, as examples of classification, "20,000 vehicles/day or more", "10,000 vehicles/day or more and less than 20,000 vehicles/day", "4,000 vehicles/day or more, 10, Includes "less than 000 units/day" and "less than 4,000 units/day."

The contamination level information 71h is information regarding the cumulative value of the contamination level. For example, as shown in FIG. 6, the contamination level information 71h is set with the contamination level (unit: [mg/cm ² ]) in the forced ventilation method or the natural arousal method corresponding to the estimated operating time 71h1. Examples of categories of the estimated operating time 71h1 are "12 months", "24 months", "36 months", "48 months", and "60 months".

The power outage information 71i (not shown) is, for example, information on power outage status provided by a general power transmission and distribution business operator. The external device 5 can, for example, transmit to the cubicle 2 power outage information 71i related to the installation location (jurisdiction) of the cubicle 2 .

The hazard map information 71j (not shown) is information indicating disaster predictions corresponding to regions, such as floods, landslides, storm surges, and tsunamis. The external device 5 can, for example, transmit to the cubicle 2 a value corresponding to the risk of disaster prediction at the installation location of the cubicle 2 as the hazard map information 71j.

The date and time information 71k is obtained via the network 4 from, for example, an NTP (Network Time Protocol) server (external device 5 or other external device). In this embodiment, the date and time information acquired from the internal clock in the cubicle 2 may be used as the date and time information 71k (that is, the external information 70 as an external factor).

The data obtained from the external device 5 may be used as the environment information 71, or may be converted into a numerical value (evaluation value) in the case of numerical evaluation, etc., as shown in the second determination method described later. You can judge. The environmental information 71 may be evaluated using an instantaneous value (at the time of the evaluation standard), or may be evaluated taking into consideration the progress, such as using an average value for a specific period.

Next, the facility-related information 72 will be described. The facility-related information 72 includes one or more of customer information 72a, facility information 72b, inspection history information 72d, repair history information 72e, accident response history information 72f, and demand information 72g acquired from the external device 5 (see FIG. 7). ). The equipment-related information 72 can also include update time information 72c having the same configuration as the recommended update time information 71f shown in FIG.

The customer information 72a includes, for example, the "address", "type of business" and "contract form" of the owner or user of the cubicle 2. FIG. Examples of industries include "agriculture", "industry", "general construction business", "food manufacturing industry", "chemical industry", "steel industry", "water supply industry", "warehouse industry", "machinery and equipment Wholesale business", "banking business", "real estate transaction business", "general restaurant business", "accommodation business", "medical business", "school education business", "academic research and development institution", "entertainment business", and " advertising business”, etc.

The equipment information 72b includes, for example, the information of the cubicle 2, such as "power receiving voltage", "equipment capacity", "equipment type", "installation location", "equipment type", and "age". Examples of the "equipment form" include "CB type", "PF-S type", "cubicle type", and "assembly type substation". Examples of "installation location" include "indoor", "outdoor", and "rooftop". Examples of the division of "years elapsed" include "less than 10 years", "10 years or more and less than 15 years", "15 years or more and less than 20 years", or "20 years or more".

The update time information 72c can be evaluated based on, for example, the remaining period of the device based on the same correspondence as the recommended update time information 71f of FIG. 5 described above.

The inspection history information 72d includes, for example, "inspection date", "inspection time", "inspection details", and "inspection results". Examples of the "inspection result" can be "good", "needs attention", or "fail".

The repair history information 72e includes, for example, "indication date", "indication content", and "repair confirmation date". Examples of the "indication content" include "defective insulation resistance", "defective appearance", "defective operating value", and "aging deterioration".

The accident response history information 72f includes, for example, "inspection date", "inspection time", "inspection details", and "inspection results". Examples of the "inspection result" can be "good", "needs attention", or "fail".

The demand information 72g is, for example, B route information, and can include guideline data of the cubicle 2 (for example, instantaneous power measurement value (W), instantaneous current measurement value (A), integrated power consumption measurement value (kWh)). .

Customer information 72a, facility information 72b, update time information 72c, inspection history information 72d, repair history information 72e, accident response history information 72f, and demand information 72g may be used as facility-related information 72 as they are, and will be described later. As shown in the second determination method, in the case of numerical evaluation, etc., it may be determined by converting to a numerical value (evaluation value). The equipment-related information 72 may be evaluated using an instantaneous value (at the time of the evaluation standard), or may be evaluated taking into account progress such as using an average value for a specific period.

The external device 5 may include a plurality of first external devices having the environment information 71 and second external devices having the facility-related information 72 . Also, the first external device may include a plurality of devices corresponding to the types of environment information 71 . Furthermore, the second external device may also include multiple devices corresponding to the types of facility-related information 72 .

Next, a first determination method, a second determination method, and a third determination method will be described as determination methods regarding an abnormality in the cubicle 2. FIG. 8, 9, and 11 show a first determination table 81, a second determination table 82, and a third determination table 83 (collectively, "determination table") stored in the storage unit 212 of the cubicle 2 (see FIG. 2). ) is shown.

<First determination method>
As one example of a method for judging an abnormality of the cubicle 2, an abnormality judgment criterion for the sensor information 20 and the external information 70 is defined in advance in the first judgment table 81 or dynamically defined by machine learning or the like. Abnormality determination can be made according to the combination of the information 70 .

As shown in FIG. 8, the first determination table 81 stores "conditions of the external information 70" corresponding to combinations of the type of the sensor 23 from which the sensor information 20 is obtained and the type of the external information 70. ing. It should be noted that examples of the correspondence relationships and conditions of the first determination table 81 are shown.

As a method for determining abnormality of the cubicle 2, for example, the sensor information 20 (specifically, the value of the ground fault current) obtained from the high-voltage insulation sensor 23a is combined with the humidity information 71c. If it is "40% or more" and the ground fault current value indicated by the sensor information 20 continues for a predetermined threshold value or more and for a period or more, an alert output ("care required" or "on-site response", etc.) is performed as a judgment result. can be done. When the control unit 211 determines that the cubicle 2 satisfies the alert output condition, it transmits the determination result as an alert output to the output device 3 . The determination result can include the sensor information 20 and the external information 70 used by the control unit 211 for determination.

<Second determination method>
Further, as another example of the method of determining abnormality of the cubicle 2, the degree of risk may be obtained based on the sensor information 20 and the external information 70, and the determination result corresponding to the degree of risk may be obtained. The degree of risk can be obtained by the following formula (1), where A _i is the value of the detection level of the sensor information 20 and B _j is the value of the degree of risk of the external information 70 .

なお、添え字「ｉ」は、１からｎの整数であり、添え字「ｉ」の異なる値Ａ_ｉは異なるセンサ２３から取得されたセンサ情報２０に対応することを示している。また、添え字「ｊ」は、１からｍの整数であり、添え字「ｊ」の異なる値Ｂ_ｊは外部装置５から取得された異なる外部要因に対応することを示している。また、α_ｉはＡ_ｉに対応する重み設定値であり、β_ｊはＢ_ｊに対応する重み設定値である。

Note that the suffix “i” is an integer from 1 to n, and indicates that different values A _i of the suffix “i” correspond to sensor information 20 obtained from different sensors 23 . Also, the suffix “j” is an integer from 1 to m, indicating that different values B _j of the suffix “j” correspond to different external factors obtained from the external device 5 . Also, α _i is a weight setting value corresponding to A _i , and β _j is a weight setting value corresponding to B _j .

In this embodiment, the weight setting values α _i and β _j are set so that the risk ranges from "0" to "3". For example, when the degree of risk is "0<degree of risk ≤ 1", the determination result is "no abnormality". If the degree of risk is "1<degree of risk ≤ 2", the determination result is "needs caution". Furthermore, when the degree of risk is "2<degree of risk ≤ 3", the judgment result is required to be "on-site response".

For example, as shown in FIG. 9, sensor information 20 “A ₁ ” is a “detection level” (for example, measured value) obtained from a certain sensor 23, and sensor information 20 “A ₂ ” is obtained from that sensor 23. The frequency (detection frequency) at which the detection level exceeds a predetermined threshold value (for example, a threshold value based on a detection value or a detection period), and the external information 70 “B ₁ ” is an evaluation value corresponding to a certain external factor (for example, insulation resistance, etc.). (in the case of a lighting circuit)), the degree of risk is obtained by the following formula (2) applying formula (1).

Risk=α ₁ ×A ₁ +α ₂ ×A ₂ +β ₁ ×B ₁ (2)

The degree of risk obtained by the formula (2) is evaluated in the range of "0" to "3" as described above, and the determination result of whether the cubicle 2 is abnormal is obtained.

In this way, the degree of risk is calculated by summing the values obtained by weighting the sensor information 20 and the external information 70 with the weight setting values α _i and β _j , respectively. It can be used to obtain a determination result regarding abnormality.

As a method for the gateway 21 to determine whether the cubicle 2 is abnormal, the control unit 211 of the gateway 21 can perform determination based on thresholds and conditions set in advance or dynamically in the storage unit 212 . For example, the control unit 211 may be configured to obtain a determination result by estimating by a determination program 212a1 that has been learned by machine learning (so-called deep learning). The determination program 212a1 may be applied while being updated by machine learning using data of the sensor information 20 newly acquired at an arbitrary timing as teacher data. That is, the weight setting values α _i and β _j are appropriate judgments for evaluating whether the degree of risk obtained based on the sensor information 20 and the external information 70 is “no abnormality”, “caution required” or “on-site response”. A variable value that can be changed by machine learning with the value range adjusted from "0" to "3" to correspond to the result, and the judgment result ("no abnormality", "need attention" or "on-site response") as a teacher label can be

<Third determination method>
As another example of a method for determining an abnormality in the cubicle 2, the control unit 211 determines a combination of the sensor information 20 and the external information 70 and an abnormality (for example, , the presence or absence of abnormality, and the degree of abnormality), and the newly acquired sensor information 20 and external information 70 are data belonging to a data group highly correlated with the occurrence of abnormality. In this case, it can be determined that the cubicle 2 has an abnormality. For example, FIG. 10 is a diagram showing an example of a combination of sensor information 20 and external information 70. As shown in FIG. In FIG. 10, the degree of correlation between the sensor information 20 and the external information 70 is in a relatively high relationship (for example, 0.4<degree of correlation≦1). data group G1 having a high correlation with the occurrence of an abnormality and data group G2 having a low correlation with the occurrence of an abnormality are acquired in advance and stored in the storage unit 212 or the like (the two-dot chain line indicates the area of the data group G1 and the area of the data group G2). It should be noted that three or more regions of the data group in which the degree of correlation with the occurrence of an abnormality is evaluated may be provided in a plurality and evaluated stepwise.

FIG. 11 shows the third determination table 83. As shown in FIG. The third determination table 83 has past accident data 832 . The past accident data 832 belongs to the data group G1 having a high correlation with the occurrence of an abnormality in the data group of FIG. 10, for example. The control unit 211 evaluates to which data group (G1, G2) the determined data 831 including the newly acquired sensor information 20 and the external information 70 belongs. 2 is determined to be abnormal, and the determination result is transmitted to the output device 3 .

The range of the data group highly correlated with the occurrence of an abnormality may be defined in advance, or may be dynamically defined by machine learning or the like. In this way, the control section 211 can obtain the determination result regarding the abnormality of the cubicle 2 corresponding to the combination of the sensor information 20 and the external information 70 .

Any one of the first determination method, the second determination method, and the third determination method may be adopted, or a plurality of methods may be combined.

Returning to FIG. 1, the output device 3 is configured to be capable of outputting the information of the cubicle 2 . The output device 3 outputs the determination result of the abnormality determination in the cubicle 2 by the gateway 21 . The determination result may include sensor information 20 or external information 70 . The output device 3 can include a display unit, a light-emitting unit, a speaker, a communication unit, and the like, and outputs that an abnormality has occurred in the cubicle 2 by displaying, emitting light, emitting sound, or transmitting information to other devices. can be done.

Next, the electrical equipment inspection method in which the gateway 21 of the electrical equipment inspection system 1 executes the electrical equipment inspection program 212a to determine abnormality will be described with reference to the block diagram of the processing flow of FIG. Note that the determination program 212a1 of the present embodiment can be executed as part of the electrical equipment inspection program 212a. The electrical equipment inspection system 1 of this embodiment also includes a computer (not shown) for executing the electrical equipment inspection program 212a.

In step S<b>01 , the controller 211 of the gateway 21 acquires the sensor information 20 detected by the sensor 23 inside the cubicle 2 .

In step S02, the control unit 211 acquires the external information 70 from the external device 5 via the network 4 and the communication unit 213 (acquisition unit).

In step S03, the control unit 211 obtains a determination result regarding abnormality corresponding to a combination of the sensor information 20 and the external information 70 (including one or both of the environment information 71 and the facility-related information 72). Abnormality determination can be performed using part or more of the first determination method, the second determination method, and the third determination method.

In step S04, the control unit 211 transmits the determination result regarding the abnormality of the cubicle 2 to the output device 3 monitored or managed by the administrator. The output device 3 that has received the determination result can cause the output device 3 to output the abnormality of the cubicle 2 . For example, when an administrator monitors the output device 3, the administrator can take necessary actions such as maintenance, inspection, investigation, etc. through the output device 3 or other devices according to the content of the abnormality determination result. can.

In step S05, the administrator takes action on the corresponding cubicle 2 according to the content of the determination result. For example, if the determination result is "on-site response", the manager dispatches a security guard or the like to the cubicle 2. FIG. On the other hand, the administrator confirms the determination result and the state of the cubicle 2 such as the sensor information 20 and the external information 70, and feeds back the determination result transmitted by the control unit 211. FIG. In other words, when the content of the judgment results sent by the control unit 211, ie, "no abnormality", "caution required", or "on-site response" is appropriate, the administrator outputs information to the effect that the information is appropriate. side to the control unit 211 . On the other hand, if the content of the judgment result classification "no abnormality", "caution required", or "on-site response" sent by the control unit 211 is inappropriate, the administrator receives correct judgment result information (here, " No abnormality”, “caution required” or “on-site response”) is transmitted from the output device 3 side to the control unit 211 . This allows the determination program 212a1 to learn and improve determination accuracy.

If there is no problem in the determination result regarding the abnormality of the cubicle 2 in step S03 (for example, the determination result is "no abnormality"), the control unit 211 ends the processing in FIG. 12 without performing the processing in step S04. It may be configured to allow

As described above, in the present embodiment, the electrical equipment inspection system 1 includes the sensor 23 capable of detecting the sensor information 20 of the electrical equipment (cubicle 2), the acquisition unit for acquiring the external information 70 related to the electrical equipment, The configuration provided with the control unit 211 that obtains the determination result regarding abnormality corresponding to the combination of the sensor information 20 and the external information 70 has been described. With such a configuration, it is possible to perform abnormality determination based on flexible criteria, so that various failure modes can be detected. A facility inspection program 212a may be configured.

Further, even when a plurality of cubicles 2 are provided in the electrical equipment inspection system 1 of the present embodiment, when an alarm is issued from the sensor 23 provided in the cubicle 2, what type of cubicle 2 is used to Since it is possible to specify whether an alarm has been issued (what kind of problem has occurred), it is possible to easily monitor and manage the cubicle 2 remotely.

Conventionally, it may not be easy to discover abnormalities and signs in inspections performed by people, and there were relatively variations in inspection quality and judgment accuracy. It is possible to easily grasp signs leading to accidents and accidents. In addition, the electrical equipment inspection system 1 of the present embodiment can extend the inspection cycle and increase the number of cubicles 2 that can be inspected by one person, thereby resolving the labor shortage.

Although the description of the embodiment of the present invention is finished above, the aspect of the present invention is not limited to this embodiment.

For example, in the present embodiment, the output unit capable of outputting information on electrical equipment is the output device 3 provided separately and connected to the cubicle 2 via the network 4. It may be provided integrally or may be configured in a portable terminal.

Further, in the electrical equipment inspection system 1 of the present embodiment, the example in which the gateway 21 is provided inside the cubicle 2 has been described, but the gateway 21 may be provided outside the cubicle 2 . Also, an example using the gateway 21 has been described as an electrical equipment inspection device that determines an abnormality in the electrical equipment, but the control unit 211 may be provided on the LAN side including the cubicle 2 or on the external WAN side, It may be provided in an on-premises server, a cloud server, or the output device 3 shown in FIG.

Further, in this embodiment, as shown in FIG. 2, an example in which the gateway 21 is configured separately from each sensor 23 has been described. . For example, the low-voltage insulation sensor 23g has a gateway 21, and the other sensors 23 go through the gateway 21 in the low-voltage insulation sensor 23g, so that the control unit 211 transmits the information of each sensor 23 and the abnormality determination result to the external device. be able to.

In addition, in the present embodiment, an example in which the cubicle 2, which is a closed power receiving facility, is applied as the electrical facility has been described, but as the electrical facility, an open power receiving facility or other facility having a power receiving function, etc. may be applied. .

1 electrical equipment inspection system 2 cubicle 3 output device 4 network 5 external device 6 external device 20 sensor information 21 gateway 22 control unit 23 sensor 23a high voltage insulation sensor 23b high voltage insulation sensor 23c camera 23d temperature sensor 23e gas sensor 23f multimeter 23g low voltage insulation sensor 23h Dust sensor 23i Vibration sensor 23j Water level sensor 23k Humidity sensor 23l Tracking sensor 23m Overheat sensor 23n Leakage sensor 23o Oil amount sensor 23p Ground wire disconnection sensor 23q Dew condensation sensor 70 External information 71 Environmental information 71a Weather information 71b Temperature information 71c Humidity information 71d Seismic intensity information 71e Estimated salinity information 71e1 Pollution classification 71f Recommended update time information 71f1 Equipment type 71f2 Recommended update time 71g Road traffic information 71h Pollution level information 71h1 Estimated operating hours 71i Power outage information 71j Hazard map information 71k Date and time information 72 Equipment-related information 72a customer information 72b facility information 72c update time information 72d inspection history information 72e repair history information 72f accident response history information 72g demand information 81 first judgment table 82 second judgment table 83 third judgment table 211 control unit 212 storage unit 212a electrical equipment Inspection program 212a1 Judgment program 213 Communication unit (acquisition unit)
241 inspection/measurement items 242 monitored object 831 data to be determined 832 accident data

To achieve the above object, an electrical equipment inspection system according to the present invention comprises a cubicle having a sensor and a gateway provided with a control unit, an acquisition unit, and a storage unit, the sensor being a sensor of the cubicle information can be detected, and the acquisition unit acquires external information related to the cubicle , including environmental information around the electrical equipment or equipment-related information related to the electrical equipment , from an external device via an external network ; The control unit obtains a determination result regarding an abnormality corresponding to a combination of the sensor information and the external information.
Further, an electrical equipment inspection system according to the present invention includes a sensor capable of detecting sensor information of electrical equipment, an acquisition unit for acquiring external information related to the electrical equipment, and a combination of the sensor information and the external information. and a control unit that obtains a judgment result regarding an abnormality by performing the above-mentioned external information, wherein the external information includes environmental information around the electrical equipment acquired from an external device and equipment-related information related to the electrical equipment, and the environmental information includes: One or more of weather information, temperature information, humidity information, seismic intensity information, estimated salinity information, recommended update time information, road traffic volume information, pollution degree information, blackout information, hazard map information and date and time information obtained from external devices and the facility-related information is one or more of customer information, facility information, update time information, inspection history information, repair history information, accident response history information, and demand information acquired from an external device.

To achieve the above object, an electrical equipment inspection apparatus according to the present invention is provided with a control unit, an acquisition unit, and a storage unit, and is connected to a plurality of sensors so as to be communicable. In the equipment inspection device, the sensor is capable of detecting sensor information of the cubicle , and the acquisition unit is related to the cubicle including environmental information around the electrical equipment or equipment-related information related to the electrical equipment. An external device having external information is communicably connected via an external network , and the control unit obtains a determination result regarding an abnormality corresponding to a combination of the sensor information and the external information.
Further, an electrical equipment inspection device according to the present invention is communicably connected to a sensor capable of detecting sensor information of electrical equipment and an external device having external information related to the electrical equipment, wherein the sensor information and the external information are An electrical equipment inspection device that obtains a judgment result regarding an abnormality in response to a combination of
The external information includes environment information around the electrical equipment and facility-related information related to the electrical equipment acquired from an external device, and the environmental information includes weather information, temperature information, humidity information, and seismic intensity acquired from the external device. information, estimated salinity information, recommended update time information, road traffic information, pollution degree information, power outage information, hazard map information, and date and time information, and the facility-related information is customer acquired from an external device information, equipment information, update time information, inspection history information, repair history information, accident response history information, and demand information.

In order to achieve the above object, an electrical equipment inspection method according to the present invention comprises a cubicle having a sensor and a gateway provided with a control unit, an acquisition unit, and a storage unit, the sensor providing sensor information of the cubicle can be detected, and the acquisition unit acquires external information related to the cubicle , including environmental information around the electrical equipment or equipment-related information related to the electrical equipment , from an external device via an external network . A method for inspecting electrical equipment in an equipment inspection system, comprising the step of obtaining a determination result regarding abnormality in response to a combination of the sensor information and the external information by the control unit .
Further, an electrical equipment inspection method according to the present invention is an electrical equipment inspection method in an electrical equipment inspection system including a sensor capable of detecting sensor information of electrical equipment and an acquisition unit for acquiring external information related to the electrical equipment. wherein the external information includes environment information around the electrical equipment acquired from an external device and equipment-related information related to the electrical equipment, and the environmental information includes weather information, temperature information, One or more of humidity information, seismic intensity information, estimated salinity information, recommended update time information, road traffic information, pollution level information, power outage information, hazard map information, and date and time information, and the facility-related information is an external device customer information, facility information, update time information, inspection history information, repair history information, accident response history information, and demand information acquired from including the step of obtaining a determination result regarding

To achieve the above object, an electrical equipment inspection program according to the present invention comprises a cubicle having a sensor and a gateway provided with a control unit, an acquisition unit, and a storage unit, wherein the sensor stores sensor information of the cubicle can be detected, and the acquisition unit acquires external information related to the cubicle , including environmental information around the electrical facility or facility-related information related to the electrical facility , from an external device via an external network. An electric equipment inspection program for an inspection system, wherein the control unit causes a computer to execute a step of obtaining a determination result regarding abnormality in accordance with a combination of the sensor information and the external information.
Further, an electrical equipment inspection program according to the present invention is an electrical equipment inspection program for an electrical equipment inspection system comprising a sensor capable of detecting sensor information of electrical equipment and an acquisition unit for acquiring external information related to the electrical equipment. wherein the external information includes environment information around the electrical equipment acquired from an external device and equipment-related information related to the electrical equipment, and the environmental information includes weather information, temperature information, and humidity acquired from the external device. information, seismic intensity information, estimated salinity information, recommended update time information, road traffic information, pollution level information, power outage information, hazard map information, and date and time information, and the facility-related information is received from an external device. One or more of the acquired customer information, facility information, update time information, inspection history information, repair history information, accident response history information, and demand information, and information related to abnormality corresponding to the combination of the sensor information and the external information A computer is caused to execute a step of obtaining a judgment result.

Claims (11)

a sensor capable of detecting sensor information of electrical equipment;
an acquisition unit that acquires external information related to the electrical equipment;
a control unit that obtains a determination result regarding an abnormality corresponding to a combination of the sensor information and the external information;
electrical equipment inspection system. 2. The electrical equipment inspection system according to claim 1, wherein said control unit obtains the degree of risk based on said sensor information and said external information, and obtains said determination result corresponding to said degree of risk. 3. The electrical equipment inspection system according to claim 2, wherein the degree of risk is calculated by summing values obtained by weighting the sensor information and the external information with respective weight setting values. The weight setting value is a variable value that can be changed by machine learning using the determination result as a teacher label so that the risk determined based on the sensor information and the external information corresponds to the appropriate determination result. 4. The electrical equipment inspection system according to claim 3. 5. The external information according to any one of claims 1 to 4, wherein the external information includes one or more of environmental information around the electrical equipment and equipment-related information related to the electrical equipment acquired from an external device. electrical equipment inspection system. The environmental information includes weather information, temperature information, humidity information, seismic intensity information, estimated salinity information, recommended update time information, road traffic volume information, pollution level information, power outage information, hazard map information, and date and time information obtained from an external device. one or more of
The facility-related information is one or more of customer information, facility information, update time information, inspection history information, repair history information, accident response history information, and demand information acquired from an external device.
The electrical equipment inspection system according to claim 5. The sensors include a high voltage insulation sensor, a camera, a temperature sensor, a gas sensor, a multimeter, a low voltage insulation sensor, a dust sensor, a vibration sensor, a water level sensor, a humidity sensor, a tracking sensor, an overheat detection sensor, a liquid leakage sensor, an oil amount sensor, and a ground. 7. The electrical equipment inspection system according to any one of claims 1 to 6, wherein the electrical equipment inspection system is one or more of an off-line sensor and a dew condensation sensor. the electrical equipment is a cubicle containing the sensor;
The control unit is provided in a gateway that relays communication between the electrical equipment and an external network,
the external information is obtained from an external device via the external network;
The electrical equipment inspection system according to any one of claims 1 to 7. communicatively connected to a sensor capable of detecting sensor information of electrical equipment and an external device having external information related to the electrical equipment;
An electrical equipment inspection device that obtains a determination result regarding an abnormality in accordance with a combination of the sensor information and the external information. An electrical equipment inspection method in an electrical equipment inspection system comprising a sensor capable of detecting sensor information of electrical equipment and an acquisition unit acquiring external information related to the electrical equipment,
A method for inspecting electrical equipment, comprising the step of obtaining a determination result regarding an abnormality in accordance with a combination of the sensor information and the external information. An electrical equipment inspection program comprising:
An electrical equipment inspection program for an electrical equipment inspection system comprising a sensor capable of detecting sensor information of electrical equipment and an acquisition unit for acquiring external information related to the electrical equipment,
A step of obtaining a determination result regarding an abnormality corresponding to the combination of the sensor information and the external information;
An electrical equipment inspection program for executing a computer.

Images