JP7181971B1 - Electrical equipment inspection system, electrical equipment inspection device, electrical equipment inspection method and electrical equipment inspection program - Google Patents

Abstract

An electrical equipment inspection system, an electrical equipment inspection device, an electrical equipment inspection method, and an electrical equipment inspection program capable of detecting various failure modes are provided. SOLUTION: An electric equipment inspection system 1 includes a sensor capable of detecting a monitoring element of an electric equipment, a storage unit that stores an abnormal pattern, and a monitoring element detected by the sensor that is compared with the abnormal pattern. a control unit that determines that there is an abnormality in the electrical equipment when the pattern is included. [Selection drawing] Fig. 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.

In order to achieve the above object, an electrical equipment inspection system according to the present invention includes a sensor capable of detecting a monitoring element of electrical equipment, a storage unit for storing an abnormal pattern, and the monitoring element detected by the sensor. and a control unit that checks with an abnormality pattern and determines that there is an abnormality in the electrical equipment when the monitoring element includes the abnormality pattern.

Further, in the electrical equipment inspection system described above, the storage unit may store a plurality of the abnormal patterns.

Further, as the electric equipment inspection system described above, an output unit capable of outputting information of the electric equipment is provided, and the control unit outputs the abnormality of the electric equipment to the output unit when it is determined that there is an abnormality in the electric equipment. You can output from

Further, in the electrical equipment inspection system described above, the abnormal pattern is one of sudden type, functional type, periodic type, random type, normal distribution type, early bathtub type, late bathtub type, mechanical failure type, saturation type, and linear function type. Part or all types may be included.

Further, in the electrical equipment inspection system described above, the control unit may select the type of the abnormality pattern to be applied to the abnormality determination in accordance with the type of the sensor.

Further, in the electrical equipment inspection system described above, the electrical equipment is a cubicle containing the sensor, and in the electrical equipment inspection system described above, the control unit includes a gateway that relays communication between the electrical equipment and an external network. may be provided.

In the electrical equipment inspection system described above, 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, It may be one or more of a liquid leakage sensor, an oil amount sensor, a ground wire disconnection sensor, and a dew condensation sensor.

Further, in the electric equipment inspection system described above, the control unit may determine that the electric equipment has an abnormality when the monitoring element includes a plurality of the abnormal patterns.

The control unit determines whether or not the abnormality pattern is included in the monitoring element using a learned determination program obtained by learning the abnormality pattern of the monitoring element at the time of abnormality of the electrical equipment by machine learning. You can judge.

In order to achieve the above object, an electrical equipment inspection device according to the present invention includes a storage unit that stores an abnormality pattern, is communicatively connected to a sensor capable of detecting a monitoring element of the electrical equipment, and the sensor detects The monitored element thus obtained is collated with the abnormal pattern, and if the abnormal pattern is included in the monitored element, it is determined that there is an abnormality in the electrical equipment.

In order to achieve the above object, 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 monitoring elements of the electrical equipment and a storage unit for storing abnormal patterns. and comparing the monitoring element detected by the sensor with the abnormality pattern, and determining that there is an abnormality in the electrical equipment when the monitoring element includes the abnormality pattern.

In order to achieve the above object, an electrical equipment inspection program according to the present invention is an electrical equipment inspection program comprising a sensor capable of detecting monitoring elements of electrical equipment, and a storage unit storing abnormal patterns. In the equipment inspection system, the step of comparing the monitoring element detected by the sensor with the abnormality pattern, and determining that there is an abnormality in the electrical equipment when the monitoring element includes the abnormality pattern. to execute.

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 an abnormal pattern of a sudden type, a function type, a periodic type, and a random type. FIG. 10 is a diagram showing abnormal patterns of normal distribution type, early bathtub type, late bathtub type, mechanical failure type, saturation type, and linear function type; 4 is a flowchart of processing for performing abnormality determination by a gateway;

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 6. and The cubicle 2 and the output device 3 are communicably connected via the network 4 . 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 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 monitoring elements such as detection values and image data indicating the state of the cubicle 2 . The control unit 22 acquires monitoring elements such as detection values and image data from each sensor 23 and transmits them to the gateway 21 .

FIG. 3 is a diagram showing inspection/measurement items 241, monitoring targets 242, and types 243 of abnormal patterns 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. The type of abnormality pattern 243 indicates one that is representatively applied according to the type of the sensor 23 among the abnormality patterns 5a to 5j shown in FIGS.

The gateway 21 performs abnormality determination of the cubicle 2 by the control unit 211 based on monitoring elements (detection values, image data, etc.) acquired from each sensor 23 . The gateway 21 includes a control section 211 , a storage section 212 and a communication section 213 . The storage unit 212 stores a threshold value that is a criterion used for abnormality determination of the cubicle 2 and a plurality of abnormality patterns 5a to 5j used for abnormality determination by matching with monitoring elements acquired from the sensor 23. FIG. The storage unit 212 also stores various programs such as an electrical equipment inspection program capable of executing an electrical equipment inspection method, which will be described later with reference to the flowchart of FIG. 6 .

Here, examples of the abnormal patterns 5a to 5j will be described with reference to FIGS. 4 and 5. FIG. The abnormal patterns 5a to 5j are compared with the monitoring elements detected by the sensor 23 in the cubicle 2 and used to determine whether or not an abnormality has occurred in the cubicle 2. FIG. FIG. 4 shows a sudden abnormal pattern 5a, a functional abnormal pattern 5b, a periodic abnormal pattern 5c, and a random abnormal pattern 5d. FIG. 5 shows a normal distribution type abnormality pattern 5e, a bathtub early type (Weibull distribution type) abnormality pattern 5f, a bathtub late type (Weibull distribution type) abnormality pattern 5g, and a mechanical failure type (Weibull distribution type) abnormality. A pattern 5h, a saturated abnormal pattern 5i, and a linear function abnormal pattern 5j are shown. The units of the x-axis and y-axis in each of the abnormal patterns 5a to 5j can be arbitrarily set according to the monitoring element to be judged. For example, the x-axis can be in units of time, wavelength, frequency, random variables, or any other arbitrarily set. The y-axis represents voltage, current, resistance (impedance), temperature, humidity, pressure, gas concentration, amount of dust, occurrence of arc, amount of liquid such as water and oil, change in difference image described later, probability, probability density. , other instrument states, or any other unit you set.

The specific shape of the waveform in each of the abnormal patterns 5a to 5j is not limited to the illustrated shape, and may be a different shape that approximates to some extent. Also, the y-axis may include positive or negative values, or both positive and negative values. Furthermore, in each of the abnormal patterns 5a to 5j illustrated in FIGS. 4 and 5, the value of the y-axis changes to the positive side, but the pattern changes to the negative side by inverting the positive and negative (that is, FIGS. 4 and 5 ), or a pattern that changes in both positive and negative directions (a pattern in which radiation is reversed downward along the x-axis in FIGS. 4 and 5). In addition, the storage unit 212 can preset or externally acquire and store an arbitrary abnormality pattern used for abnormality determination by collating with the monitoring elements acquired from each sensor 23 .

The communication unit 213 is configured to communicate with an external device (for example, the output device 3) via the network 4, and relays communication with the cubicle 2 to transmit and receive information. The control unit 211 transmits, for example, monitoring element data acquired from each sensor 23 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 .

As a method for the gateway 21 to determine the abnormality of the cubicle 2, the control unit 211 of the gateway 21 performs determination based on thresholds or conditions set in advance or dynamically in the storage unit 212, or based on the type of the sensor 23. Then, the change in the monitored element is compared with the abnormal patterns 5a to 5j, and whether or not the monitored element matches any of the abnormal patterns 5a to 5j is estimated by a judgment program that has been learned by machine learning (so-called deep learning). It is also possible to adopt a configuration in which an abnormality is determined. The determination program may be applied while being updated by machine learning using monitoring element data newly acquired at an arbitrary timing as teacher data. Alternatively, the control unit 211 may determine the abnormality of the cubicle 2 by comparing the abnormality patterns 5a to 5j, which are fixedly preset in accordance with the type of each sensor 23, with the monitoring elements. Note that the determination program of the present embodiment can be executed as part of an electrical equipment inspection program. The electrical equipment inspection system 1 of this embodiment also includes a computer (not shown) for executing an electrical equipment inspection program.

The external device 6 is, for example, an underground or overhead load switch, such as an underground line load switch (UGS (Underground Gas Switch)) (for example, smart UGS) 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 detects the ground fault current of the external device 6 and serves as a monitoring element (or as a monitoring element of the insulation resistance) so that the control unit 211 can 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.

Further, the control unit 211 treats the change in the ground fault current detected by the high-voltage insulation sensor 23a as an abnormal pattern (for example, the functional abnormal pattern 5b, the random abnormal pattern 5d, or the late bathtub abnormal pattern 5g). By collation, it can be determined by the determination program whether or not there is a match with any of the abnormal patterns.

The high-voltage insulation sensor 23b detects insulation resistance of high-voltage equipment as a monitoring element. 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, and if it is 6 MΩ or more and less than 30 MΩ, it is regarded as requiring caution, and less than 6 MΩ. , it can be determined as abnormal. Also, the high-voltage insulation sensor 23b may function as a sound collecting sensor that detects sound in the audible range or inaudible range emitted by the device as a monitoring element. 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.

In addition, the control unit 211 detects a change in insulation resistance (or a change in sound) detected by the high-voltage insulation sensor 23b as an abnormality pattern (for example, a functional abnormality pattern 5b, a random abnormality pattern 5d, or a saturation abnormality pattern). By collating with the pattern 5i), it is possible to make an abnormality judgment by the judgment program as to whether or not it matches with any of the abnormal patterns.

The cameras 23c are installed at one or a plurality of locations inside the cubicle 2, and detect an abnormality in the cubicle 2 using differential images of a plurality of images of the interior of the cubicle 2 as monitoring elements. 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.

In addition, the control unit 211 collates the change in the image detected by the camera 23c with an abnormality pattern (for example, the sudden type abnormality pattern 5a), and determines whether or not it matches with any of the abnormality patterns by the determination program. can judge.

The temperature sensor 23d detects the temperature of an arbitrary portion (for example, high-voltage power receiving equipment) within the cubicle 2 as a monitoring element. 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.

In addition, the control unit 211 collates the change in temperature detected by the temperature sensor 23d with an abnormal pattern (for example, the functional abnormal pattern 5b and the periodic abnormal pattern 5c), and matches any of the abnormal patterns. Abnormality can be determined by the determination program.

The gas sensor 23e detects the concentration of gases such as VOCs (volatile organic compounds) generated from the electric wire inside the cubicle 2 as a monitoring element. The control unit 211 detects the gas concentration and performs abnormality determination at predetermined time intervals (for example, every hour). judge.

In addition, the control unit 211 collates the change in the gas concentration detected by the gas sensor 23e with an abnormality pattern (for example, the functional abnormality pattern 5b, the periodic abnormality pattern, and the saturation abnormality pattern 5i), Abnormality can be determined by a determination program as to whether or not it matches with the abnormality pattern of .

The multimeter 23f measures the voltage and current for each bank (electric circuit system on the secondary side of the transformer) as monitoring elements. 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.

In addition, the control unit 211 collates the change in voltage or current detected by the multimeter 23f with an abnormal pattern (for example, periodic abnormal pattern 5c), and the change in voltage or current matches any of the abnormal patterns. Abnormality can be determined by a determination program as to whether or not to do so.

The low voltage insulation sensor 23g detects the insulation resistance (current) of the low voltage circuit as a monitoring element. 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, the control unit 211 collates the change in the insulation resistance (current) detected by the low-voltage insulation sensor 23g with the abnormality patterns (for example, the sudden abnormality pattern 5a and the periodic abnormality pattern 5c) to determine the insulation resistance ( An abnormality can be determined by a determination program as to whether or not the change in current) matches any of the abnormal patterns.

The dust sensor 23h digitizes the amount of dust in the air inside the cubicle 2 and detects it as a monitoring element. 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.

In addition, the control unit 211 compares the change in the amount of dust detected by the dust sensor 23h with an abnormal pattern (for example, the functional abnormal pattern 5b and the periodic abnormal pattern 5c), and matches any of the abnormal patterns. Abnormality can be determined by a determination program as to whether or not to do so.

The vibration sensor 23i detects vibration as a monitoring element, and mainly detects insulation deterioration of high-voltage equipment inside the cubicle 2, abnormality of transformers, operation of circuit breakers, load switches, 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.

In addition, the control unit 211 compares the change in vibration detected by the vibration sensor 23i with an abnormal pattern (for example, the functional abnormal pattern 5b and the periodic abnormal pattern 5c), and matches any of the abnormal patterns. Abnormality can be determined by the determination program.

The water level sensor 23j detects the water level inside the cubicle 2 installed indoors or outdoors (for example, an underground substation or a ground substation) as a monitoring element. 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.

In addition, the control unit 211 compares the change in the water level detected by the water level sensor 23j with an abnormal pattern (for example, the functional abnormal pattern 5b and the sudden abnormal pattern 5a), and matches any of the abnormal patterns. Abnormality can be determined by the determination program.

The humidity sensor 23k detects the humidity inside the cubicle 2 as a monitoring element. 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.

In addition, the control unit 211 collates the change in humidity detected by the humidity sensor 23k with an abnormal pattern (for example, the functional abnormal pattern 5b and the periodic abnormal pattern 5c), and matches any of the abnormal patterns. Abnormality can be determined by the determination program.

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 as a monitoring element and detecting a discharge waveform included in the voltage waveform.

In addition, the control unit 211 compares the change in the voltage or current detected by the tracking sensor 23l with an abnormal pattern (for example, the functional abnormal pattern 5b and the random abnormal pattern 5d), Whether or not they match can be determined as abnormal by a determination program.

The overheat detection sensor 23m detects the temperature of the device main body and the connection terminal portion of the cubicle 2 as a monitoring element 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.

In addition, the control unit 211 collates the change in temperature detected by the overheat sensor 23m with an abnormal pattern (for example, the functional abnormal pattern 5b and the sudden abnormal pattern 5a), and matches any of the abnormal patterns. Abnormality can be determined by the determination program.

The liquid leakage sensor 23n detects, as a monitoring element, the amount of leaked oil or water around a device to be monitored such as an oil-filled device (for example, a transformer) or 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.

In addition, the control unit 211 collates the change in the leakage amount detected by the leakage sensor 23n with an abnormality pattern (for example, the functional abnormality pattern 5b and the saturation abnormality pattern 5i), and detects any abnormality pattern. Abnormality can be determined by a determination program by determining whether or not they match.

The oil amount sensor 23o monitors oil amount (oil amount) (monitoring element) in the oil-filled equipment (for example, transformer) and the emergency generator. Control unit 211 can determine that an abnormality has occurred when the amount of oil is equal to or less than a predetermined threshold.

In addition, the control unit 211 collates the change in the oil amount detected by the oil amount sensor 23o with an abnormality pattern (for example, the bathtub initial type abnormality pattern 5f and the sudden type abnormality pattern 5a), and the change in the oil amount is detected. A determination program may be used to determine whether or not the pattern matches any of the abnormal patterns.

For example, the ground wire disconnection sensor 23p can superimpose a voltage or current on the ground wire in the cubicle 2 to monitor the ground resistance as a monitoring element and determine an abnormality.

In addition, the control unit 211 collates the change in the ground resistance detected by the ground wire disconnection sensor 23p with an abnormality pattern (for example, the sudden type abnormality pattern 5a and the random type abnormality pattern 5d), Whether or not they match can be determined as abnormal by a determination program.

The dew condensation sensor 23q detects an abnormality in the cubicle 2 by detecting the amount of water adhering to the high-pressure equipment, the inner wall, etc. in the cubicle 2 as a monitoring element. 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.

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 compares the monitored elements detected by the sensors in the cubicle 2 with the abnormal patterns 5a to 5j by the gateway 21, and if the monitored elements include the abnormal patterns 5a to 5j, an abnormality has occurred in the cubicle 2. output that 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, an electrical equipment inspection method in which the gateway 21 of the electrical equipment inspection system 1 executes an electrical equipment inspection program to determine abnormality will be described with reference to the flowchart of FIG.

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

In step S02, the control unit 211 determines whether or not the monitoring element satisfies the conditions for abnormality determination using the threshold values and the abnormality patterns 5a to 5j stored in the storage unit 212. FIG. The control unit 211 selects a threshold value to be applied to the abnormality determination and the types of the abnormality patterns 5a to 5j corresponding to the type of the sensor 23. FIG. The units of the x-axis and y-axis in the abnormal patterns 5a to 5j are also set according to the monitored elements.

In step S<b>03 , the control unit 211 transmits information indicating that an abnormality has occurred in the cubicle 2 to the output device 3 when an abnormality pattern is included in the monitored elements, thereby notifying the output device 3 of the abnormality in the cubicle 2 . output from When the output device 3 is monitored by the manager, the manager can take necessary measures such as maintenance, inspection, investigation, etc. through the output device 3 or other devices according to the content of the abnormality of the cubicle 2 .

As described above, in this embodiment, the sensor 23 capable of detecting the monitoring elements of the electrical equipment, the storage unit 212 storing the abnormal patterns 5a to 5j, and the output device 3 (output unit ), and the control unit 211 that compares the monitoring elements detected by the sensor 23 with the abnormality patterns 5a to 5j and causes the output device 3 to output an abnormality in the electrical equipment when the monitoring elements include the abnormality patterns 5a to 5j. and the configuration provided with. With such a configuration, it is possible to perform abnormality determination according to flexible criteria. Therefore, the electrical equipment inspection system 1, the electrical equipment inspection device, the electrical equipment inspection method, and the electrical equipment inspection program capable of detecting various failure modes are provided. Can 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 electric equipment inspection system 1 of the present embodiment can extend the inspection frequency and increase the number of cubicles 2 that can be inspected by one person, so that the labor shortage can be resolved.

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.

Also, in the electric 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 checks the monitoring elements against the abnormal patterns 5a to 5j, but the electrical equipment inspection device is provided on the LAN side including the cubicle 2 or on the external WAN side. Alternatively, 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 5a Sudden abnormal pattern 5b Functional abnormal pattern 5c Periodic abnormal pattern 5d Random abnormal pattern 5e Normal distribution abnormal pattern 5f Early bathtub abnormal pattern 5g Late bathtub type abnormality pattern 5h Mechanical failure type abnormality pattern 5i Saturation type abnormality pattern 5j Linear function type abnormality pattern 6 External device 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 detection sensor 23n Leakage sensor 23o Oil amount sensor 23p Ground wire disconnection sensor 23q Dew condensation sensor 211 Control unit 212 Storage unit 213 Communication unit 241 Inspection/measurement item 242 Monitoring object 243 Abnormal pattern type

Claims (11)

A cubicle having a plurality of sensors and a gateway provided with a control unit and a storage unit,
the sensor is capable of detecting a monitoring element of the cubicle ;
The storage unit stores abnormal patterns including some or all of sudden type, functional type, periodic type, random type, normal distribution type, early bathtub type, late bathtub type, mechanical failure type, saturated type, and linear function type. remember the
The control unit is provided in the gateway that relays communication between the cubicle and an external network, compares the monitoring element detected by the sensor with the abnormal pattern, and includes the abnormal pattern in the monitoring element. In the case, it is determined that there is an abnormality in the cubicle ,
Electrical equipment inspection system. 2. The electrical equipment inspection system of claim 1, wherein the gateway is provided within any of the sensors. 3. The electrical equipment inspection system according to claim 1, wherein said storage unit stores a plurality of said abnormal patterns. An output unit capable of outputting information of the cubicle ,
4. The electrical equipment inspection system according to claim 3 , wherein the control unit outputs the abnormality of the cubicle from the output unit when it is determined that the cubicle is abnormal. 5. The electric equipment inspection system according to claim 4 , wherein the control unit selects the type of the abnormality pattern to be applied to the abnormality determination according to the type of the sensor. 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. 6. The electrical equipment inspection system according to claim 5 , wherein the electrical equipment inspection system is one or more of an off-line sensor and a dew condensation sensor. 7. The electrical equipment inspection system according to claim 6 , wherein said control unit determines that said cubicle is abnormal when said monitoring element includes a plurality of said abnormal patterns. The control unit determines whether or not the abnormal pattern is included in the monitoring element using a learned determination program obtained by learning the abnormal pattern of the monitoring element when the cubicle is abnormal by machine learning. The electrical equipment inspection system according to claim 7 . An electrical equipment inspection device provided with a control unit and a storage unit, communicably connected to a plurality of sensors and provided in a cubicle together with the sensors,
The storage unit stores abnormal patterns including some or all of sudden type, functional type, periodic type, random type, normal distribution type, early bathtub type, late bathtub type, mechanical failure type, saturated type, and linear function type. remember the
the sensor is capable of detecting a monitoring element of the cubicle ;
The control unit relays communication between the cubicle and an external network, compares the monitoring element detected by the sensor with the abnormal pattern, and if the abnormal pattern is included in the monitoring element, the cubicle determine that there is an abnormality in
Electrical equipment inspection device. An electric equipment inspection method using an electric equipment inspection system having a cubicle having a plurality of sensors and a gateway provided with a control unit and a storage unit,
the sensor is capable of detecting a monitoring element of the cubicle ;
The storage unit stores abnormal patterns including some or all of sudden type, functional type, periodic type, random type, normal distribution type, early bathtub type, late bathtub type, mechanical failure type, saturation type, and linear function type. remember the
The control unit is provided in the gateway that relays communication between the cubicle and an external network,
comparing the monitoring element detected by the sensor with the abnormal pattern, and determining that there is an abnormality in the cubicle when the monitoring element includes the abnormal pattern;
Electrical equipment inspection method. An electrical equipment inspection program for an electrical equipment inspection system comprising a cubicle having a plurality of sensors and a gateway provided with a control unit and a storage unit ,
the sensor is capable of detecting a monitoring element of the cubicle ;
The storage unit stores abnormal patterns including some or all of sudden type, functional type, periodic type, random type, normal distribution type, early bathtub type, late bathtub type, mechanical failure type, saturated type, and linear function type. remember the
The control unit is provided in the gateway that relays communication between the cubicle and an external network,
a step of comparing the monitoring element detected by the sensor with the abnormal pattern, and determining that there is an abnormality in the cubicle when the monitoring element includes the abnormal pattern; Equipment inspection program.

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