A remote fault diagnosis method for a high-voltage power distribution cabinet operating robot

Abstract

The application discloses a kind of high-voltage power distribution cabinet operating robot remote fault diagnosis methods, it is related to remote fault diagnosis technical field, the application includes power distribution cabinet operation monitoring, fault type analysis, fault component monitoring, fault component analysis and early warning prompt, each abnormal device corresponding to high-voltage power distribution cabinet is obtained by screening, and then the appearance integrity, performance evaluation coefficient of each abnormal device corresponding to high-voltage power distribution cabinet is monitored, the appearance qualified coefficient, performance evaluation coefficient of each abnormal device corresponding to high-voltage power distribution cabinet is analyzed, the performance state of each abnormal device corresponding to high-voltage power distribution cabinet is judged, to analyze each fault type of each abnormal device corresponding to high-voltage power distribution cabinet, realize detailed high-voltage power distribution cabinet fault analysis diagnosis, accurately locate fault, effectively solve problem, ensure the normal operation of high-voltage power distribution cabinet, realize quick response fault information, reduce processing fault time, improve fault diagnosis efficiency, reduce security risk.

Description

Technical Field

[0001] This invention relates to the field of remote fault diagnosis technology, and more specifically to a remote fault diagnosis method for a high-voltage switchgear operating robot. Background Technology

[0002] As an important piece of power equipment, the safe operation of high-voltage switchgear is of paramount importance. Therefore, real-time fault diagnosis and monitoring of high-voltage switchgear is necessary. However, high-voltage switchgear is generally located in substations, and its fault diagnosis methods are relatively limited. The emergence of remote control robot technology can easily solve the problem of fault diagnosis of high-voltage switchgear, realize efficient remote fault diagnosis, and ensure the effective operation of high-voltage switchgear.

[0003] Current technology for fault monitoring of high-voltage switchgear mainly relies on professional monitoring personnel to troubleshoot faults. This manual fault diagnosis is quite limited, requiring a lot of manpower, material resources, and time, increasing the cost and workload of fault diagnosis. At the same time, it cannot achieve constant fault diagnosis of high-voltage switchgear, which may lead to oversights or errors in fault diagnosis, increasing the operational risks of high-voltage switchgear and delaying its normal operation. Summary of the Invention

[0004] To address the aforementioned technical shortcomings, the purpose of this invention is to provide a remote fault diagnosis method for a high-voltage switchgear operating robot.

[0005] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a remote fault diagnosis method for a high-voltage distribution cabinet operation robot, including: Step 1, distribution cabinet operation monitoring: The remotely controlled robot performs real-time operation monitoring of the current high-voltage distribution cabinet, thereby obtaining the working type corresponding to the current high-voltage distribution cabinet, by obtaining the operating sound corresponding to the current high-voltage distribution cabinet, thereby determining the operating status corresponding to the current high-voltage distribution cabinet, and obtaining the operating temperature corresponding to the current high-voltage distribution cabinet, thereby filtering out the abnormal devices corresponding to the high-voltage distribution cabinet.

[0006] Step 2, Fault Component Monitoring: The remotely controlled robot performs appearance monitoring on each abnormal device in the high-voltage distribution cabinet. The appearance monitoring includes the device's appearance, color, and displacement, thereby obtaining the appearance qualification coefficient of each abnormal device in the high-voltage distribution cabinet.

[0007] Step 3: Faulty Component Analysis: The remotely controlled robot monitors the performance of each abnormal device in the high-voltage distribution cabinet. The monitored performance includes working voltage, working current, working power, and working resistance. Then, the performance evaluation coefficients of each abnormal device in the high-voltage distribution cabinet are obtained through analysis. Based on the performance evaluation coefficients of each abnormal device in the high-voltage distribution cabinet, the performance status of each abnormal device in the high-voltage distribution cabinet is determined.

[0008] Step 4: Fault Type Analysis: Based on the appearance qualification coefficient and performance evaluation coefficient of each abnormal device corresponding to the high-voltage switchgear, the fault types of each abnormal device corresponding to the high-voltage switchgear are analyzed and obtained.

[0009] Step 5: Result Display: Displays the fault types of each abnormal device corresponding to the high-voltage distribution cabinet.

[0010] Step Six: Early Warning Prompt: An early warning prompt will be issued when the operating status of the high-voltage distribution cabinet is abnormal or the performance status of a certain abnormal device corresponding to the high-voltage distribution cabinet is abnormal.

[0011] Preferably, the specific process for determining the current operating status of the high-voltage distribution cabinet is as follows: the operating sound of the current high-voltage distribution cabinet is compared with the historical operating sound threshold stored in the database. If the operating sound of the current high-voltage distribution cabinet is greater than the historical operating sound threshold stored in the database, the operating status of the current high-voltage distribution cabinet is determined to be abnormal, and the robot is immediately controlled to monitor the overall operating temperature of the current high-voltage distribution cabinet.

[0012] Preferably, the screening process for each abnormal device corresponding to the high-voltage distribution cabinet is as follows: The remote-controlled robot uses an infrared thermal imager to monitor and obtain the overall operating temperature image distribution of the high-voltage distribution cabinet during operation. Then, it obtains the operating temperature value of each device from the overall operating temperature image distribution of the high-voltage distribution cabinet during operation, and compares the operating temperature of each device corresponding to the high-voltage distribution cabinet with the standard operating temperature threshold stored in the database. If the operating temperature of each device corresponding to the high-voltage distribution cabinet is greater than the standard operating temperature threshold stored in the database, the device is recorded as an abnormal device, and thus the abnormal devices corresponding to the high-voltage distribution cabinet are screened out.

[0013] Preferably, the monitoring process for obtaining the appearance qualification coefficient of each abnormal device corresponding to the high-voltage distribution cabinet is as follows: A remotely controlled robot uses a high-definition camera to capture the appearance images of each abnormal device corresponding to the high-voltage distribution cabinet during operation at different time periods. Then, from the complete appearance images of each abnormal device during operation, the appearance, color tone, and position of the device corresponding to each abnormal device are obtained. The appearance of each abnormal device is compared with the standard device appearance of each device in the database. Simultaneously, the color tone and position of each abnormal device are compared with the standard device color tone and position in the database. If the appearance of a certain abnormal device is the same as the standard device appearance in the database, and the color tone and position are also the same, then the appearance qualification coefficient of that abnormal device is determined. Conversely, it is recorded as . In this way, the appearance qualification coefficient of each abnormal device corresponding to the high-voltage switchgear is obtained. , Number each abnormal device. , For any integer greater than 2, Values or ,and .

[0014] Preferably, the analysis yields performance evaluation coefficients for each abnormal device corresponding to the high-voltage switchgear. The specific analysis process is as follows: Through calculation formulas... Analysis yielded the corresponding high-voltage distribution cabinet number 1 Performance evaluation coefficients for each abnormal device Number each abnormal device. , For any integer greater than 2, The set reference operating voltage, For the high-voltage distribution cabinet corresponding to the first The operating voltage of the abnormal device To set the permissible difference in operating voltage, To set the permissible difference in operating current, The set reference operating current, For the high-voltage distribution cabinet corresponding to the first The operating current of an abnormal device. To set the permissible difference in operating power, The set reference operating power, For the high-voltage distribution cabinet corresponding to the first The operating power of the abnormal device To set the permissible difference in operating resistance, The set reference operating resistance, For the high-voltage distribution cabinet corresponding to the first The operating resistance of the abnormal device. , , , These are the weighting factors for the set operating voltage, operating current, operating power, and operating resistance, respectively. , , , .

[0015] Preferably, the specific process for determining the performance status of each abnormal device corresponding to the high-voltage distribution cabinet is as follows: the performance evaluation coefficient of each abnormal device corresponding to the high-voltage distribution cabinet is compared with the performance evaluation coefficient threshold stored in the database. If the performance evaluation coefficient of a certain abnormal device corresponding to the high-voltage distribution cabinet is greater than the performance evaluation coefficient threshold stored in the database, it is determined that the performance status of the high-voltage distribution cabinet corresponding to the abnormal device is abnormal. If the performance evaluation coefficient of a certain abnormal device corresponding to the high-voltage distribution cabinet is less than or equal to the performance evaluation coefficient threshold stored in the database, it is determined that the performance status of the high-voltage distribution cabinet corresponding to the abnormal device is normal. This is how the performance status of each abnormal device corresponding to the high-voltage distribution cabinet is determined.

[0016] Preferably, the analysis obtains the fault types of each abnormal device corresponding to the high-voltage distribution cabinet. The specific analysis process is as follows: The appearance qualification coefficient of each abnormal device corresponding to the high-voltage distribution cabinet is compared with the appearance qualification coefficient threshold stored in the database. At the same time, the performance evaluation coefficient of each abnormal device corresponding to the high-voltage distribution cabinet is compared with the performance evaluation coefficient threshold stored in the database. If the appearance qualification coefficient of a certain abnormal device corresponding to the high-voltage distribution cabinet is different from the appearance qualification coefficient threshold stored in the database, but the performance evaluation coefficient of the certain abnormal device corresponding to the high-voltage distribution cabinet is the same as the performance evaluation coefficient threshold stored in the database, then the abnormal device is determined to be an appearance fault. If the appearance qualification coefficient of a certain abnormal device corresponding to the high-voltage distribution cabinet is the same as the appearance qualification coefficient threshold stored in the database, but the performance evaluation coefficient of the certain abnormal device corresponding to the high-voltage distribution cabinet is different from the performance evaluation coefficient threshold stored in the database, then the abnormal device is determined to be a performance fault. In this way, the fault types of each abnormal device corresponding to the high-voltage distribution cabinet are obtained.

[0017] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a remote fault diagnosis method for a high-voltage switchgear operating robot. By screening and identifying abnormal devices corresponding to the high-voltage switchgear, the invention monitors the appearance integrity and performance evaluation coefficients of each abnormal device, and determines their appearance and performance status. Based on this, it analyzes the fault types of each abnormal device, achieving detailed fault analysis and diagnosis of the high-voltage switchgear, accurately locating faults, effectively solving problems, ensuring the normal operation of the high-voltage switchgear, overcoming the shortcomings of current technologies, achieving rapid response to fault information, reducing fault handling time, and improving fault diagnosis efficiency. Simultaneously, remotely controlling the robot to perform high-voltage switchgear fault diagnosis reduces the safety risks associated with personnel handling high-voltage equipment, ensuring their safety and reducing their workload. This achieves efficient and rapid high-voltage switchgear fault diagnosis, providing data and technical support for the maintenance and prevention of high-voltage switchgear faults, reducing safety risks, and ensuring the efficient and safe operation of high-voltage switchgear. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Step 1: Distribution Cabinet Operation Monitoring: The remotely controlled robot performs real-time operation monitoring of the current high-voltage distribution cabinet, thereby obtaining the corresponding working type of the current high-voltage distribution cabinet. By acquiring the corresponding operating sound of the current high-voltage distribution cabinet, the operating status of the current high-voltage distribution cabinet is determined, and the operating temperature of the current high-voltage distribution cabinet is acquired, thereby filtering out the abnormal devices corresponding to the high-voltage distribution cabinet.

[0022] It should be noted that the types of work include, but are not limited to, power generation, transmission, and distribution.

[0023] It should also be noted that the robot consists of a high-definition camera, various sensors and detection equipment, etc., and then the robot is controlled to use a sound level meter to obtain the corresponding operating sounds of each area of ​​the high-voltage distribution cabinet.

[0024] It should be noted again that the abnormal devices include, but are not limited to, relays, switches, circuit breakers, etc.

[0025] As an optional implementation, the specific process for determining the current operating status of the high-voltage distribution cabinet is as follows: the operating sound of the current high-voltage distribution cabinet is compared with the historical operating sound threshold stored in the database. If the operating sound of the current high-voltage distribution cabinet is greater than the historical operating sound threshold stored in the database, the operating status of the current high-voltage distribution cabinet is determined to be abnormal, and the robot is immediately controlled to monitor the overall operating temperature of the current high-voltage distribution cabinet.

[0026] As an optional implementation, the screening process for each abnormal device corresponding to the high-voltage distribution cabinet is as follows: A remotely controlled robot uses an infrared thermal imager to monitor and obtain the overall operating temperature image distribution of the high-voltage distribution cabinet during operation. Then, it obtains the operating temperature value of each device from the overall operating temperature image distribution of the high-voltage distribution cabinet during operation, and compares the operating temperature of each device corresponding to the high-voltage distribution cabinet with the standard operating temperature threshold stored in the database. If the operating temperature of each device corresponding to the high-voltage distribution cabinet is greater than the standard operating temperature threshold stored in the database, the device is recorded as an abnormal device, and thus the abnormal devices corresponding to the high-voltage distribution cabinet are screened out.

[0027] Step 2, Fault Component Monitoring: The remotely controlled robot performs appearance monitoring on each abnormal device in the high-voltage distribution cabinet. The appearance monitoring includes the device's appearance, color, and displacement, thereby obtaining the appearance qualification coefficient of each abnormal device in the high-voltage distribution cabinet.

[0028] As an optional implementation, the monitoring obtains the appearance qualification coefficient of each abnormal device corresponding to the high-voltage distribution cabinet. The specific monitoring process is as follows: A remotely controlled robot uses a high-definition camera to capture the appearance images of each abnormal device of the high-voltage distribution cabinet during operation at different time periods. Then, from the complete appearance images of each abnormal device during operation, the appearance, color tone, and position of the device corresponding to each abnormal device are obtained. The appearance of each abnormal device is compared with the standard device appearance of each device stored in the database. Simultaneously, the color tone and position of each abnormal device are compared with the standard device color tone and position stored in the database. If the appearance of a certain abnormal device is the same as the standard device appearance stored in the database, and the color tone and position of the device are also the same, then the appearance qualification coefficient of that abnormal device is determined. Conversely, it is recorded as . In this way, the appearance qualification coefficient of each abnormal device corresponding to the high-voltage switchgear is obtained. , Number each abnormal device. , For any integer greater than 2, Values or ,and .

[0029] Step 3: Faulty Component Analysis: The remotely controlled robot monitors the performance of each abnormal device in the high-voltage distribution cabinet. The monitored performance includes working voltage, working current, working power, and working resistance. Then, the performance evaluation coefficients of each abnormal device in the high-voltage distribution cabinet are obtained through analysis. Based on the performance evaluation coefficients of each abnormal device in the high-voltage distribution cabinet, the performance status of each abnormal device in the high-voltage distribution cabinet is determined.

[0030] It should be noted that the remote-controlled robot uses a multimeter to obtain the performance of each abnormal device in the high-voltage distribution cabinet.

[0031] As an optional implementation, the analysis yields performance evaluation coefficients for each faulty device corresponding to the high-voltage switchgear. The specific analysis process is as follows: Through calculation formulas... Analysis yielded the corresponding high-voltage distribution cabinet number 1 Performance evaluation coefficients for each abnormal device Number each abnormal device. , For any integer greater than 2, The set reference operating voltage, For the high-voltage distribution cabinet corresponding to the first The operating voltage of the abnormal device To set the permissible difference in operating voltage, To set the permissible difference in operating current, The set reference operating current, For the high-voltage distribution cabinet corresponding to the first The operating current of an abnormal device. To set the permissible difference in operating power, The set reference operating power, For the high-voltage distribution cabinet corresponding to the first The operating power of the abnormal device To set the permissible difference in operating resistance, The set reference operating resistance, For the high-voltage distribution cabinet corresponding to the first The operating resistance of the abnormal device. , , , These are the weighting factors for the set operating voltage, operating current, operating power, and operating resistance, respectively. , , , .

[0032] It should be noted again that, through the high-voltage switchgear diagnostic management system, the fault diagnosis form for setting the weighting factors of working voltage, working current, working power, and working resistance is sent to the high-voltage switchgear experts. The experts are prompted to fill in suggested values ​​for these weighting factors. This yields their suggested values ​​for the weighting factors of working voltage, working current, working power, and working resistance. Then, through average calculation, the average suggested values ​​for the weighting factors of working voltage, working current, working power, and working resistance are obtained and used as the weighting factors for working voltage, working current, working power, and working resistance.

[0033] As an optional implementation, the specific process for determining the performance status of each abnormal device corresponding to the high-voltage distribution cabinet is as follows: The performance evaluation coefficients of each abnormal device corresponding to the high-voltage distribution cabinet are compared with the performance evaluation coefficient thresholds stored in the database. If the performance evaluation coefficient of a certain abnormal device corresponding to the high-voltage distribution cabinet is greater than the performance evaluation coefficient threshold stored in the database, then the performance status of the high-voltage distribution cabinet corresponding to that abnormal device is determined to be abnormal. If the performance evaluation coefficient of a certain abnormal device corresponding to the high-voltage distribution cabinet is less than or equal to the performance evaluation coefficient threshold stored in the database, then the performance status of the high-voltage distribution cabinet corresponding to that abnormal device is determined to be normal. This is how the performance status of each abnormal device corresponding to the high-voltage distribution cabinet is determined.

[0034] Step 4: Fault Type Analysis: Based on the appearance qualification coefficient and performance evaluation coefficient of each abnormal device corresponding to the high-voltage switchgear, the fault types of each abnormal device corresponding to the high-voltage switchgear are analyzed and obtained.

[0035] It should be noted that the types of failures include, but are not limited to, appearance failures and performance failures.

[0036] As an optional implementation, the analysis obtains the fault types of each abnormal device corresponding to the high-voltage switchgear. The specific analysis process is as follows: The appearance qualification coefficient of each abnormal device corresponding to the high-voltage switchgear is compared with the appearance qualification coefficient thresholds stored in the database. At the same time, the performance evaluation coefficient of each abnormal device corresponding to the high-voltage switchgear is also compared with the performance evaluation coefficient thresholds stored in the database. If the appearance qualification coefficient of a certain abnormal device corresponding to the high-voltage switchgear is different from the appearance qualification coefficient threshold stored in the database, but the performance evaluation coefficient of the certain abnormal device corresponding to the high-voltage switchgear is the same as the performance evaluation coefficient threshold stored in the database, then the abnormal device is determined to be an appearance fault. If the appearance qualification coefficient of a certain abnormal device corresponding to the high-voltage switchgear is the same as the appearance qualification coefficient threshold stored in the database, but the performance evaluation coefficient of the certain abnormal device corresponding to the high-voltage switchgear is different from the performance evaluation coefficient threshold stored in the database, then the abnormal device is determined to be a performance fault. In this way, the fault types of each abnormal device corresponding to the high-voltage switchgear are obtained.

[0037] Step 5: Result Display: Displays the fault types of each abnormal device corresponding to the high-voltage distribution cabinet.

[0038] Step Six: Early Warning Prompt: An early warning prompt will be issued when the operating status of the high-voltage distribution cabinet is abnormal or the performance status of a certain abnormal device corresponding to the high-voltage distribution cabinet is abnormal.

[0039] This invention, through screening to identify abnormal devices corresponding to high-voltage switchgear, monitors the appearance integrity and performance evaluation coefficients of these devices, and determines their appearance and performance status. This analysis identifies the fault types of each abnormal device, enabling detailed fault analysis and diagnosis of the high-voltage switchgear. This allows for accurate fault location, effective problem-solving, and ensures the normal operation of the high-voltage switchgear, overcoming current technological shortcomings. It achieves rapid response to fault information, reduces processing time, and improves fault diagnosis efficiency. Furthermore, remotely controlling a robot for high-voltage switchgear fault diagnosis reduces the safety risks associated with personnel handling high-voltage equipment, ensuring their safety and workload. This efficient and rapid fault diagnosis provides data and technical support for maintaining and preventing high-voltage switchgear faults, reducing safety risks and ensuring the efficient and safe operation of high-voltage switchgear.

[0040] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A remote fault diagnosis method of a high-voltage switchgear operating robot, characterized by, The application relates to a remote monitoring method for high-voltage power distribution cabinets. Step one, power distribution cabinet operation monitoring: remotely controlling a robot to perform real-time operation monitoring on a current high-voltage power distribution cabinet, thereby obtaining the working type corresponding to the current high-voltage power distribution cabinet, obtaining the running sound corresponding to the current high-voltage power distribution cabinet, thereby judging the running state corresponding to the current high-voltage power distribution cabinet, and obtaining the running temperature corresponding to the current high-voltage power distribution cabinet, thereby screening the abnormal devices corresponding to the high-voltage power distribution cabinet; The judgment of the running state corresponding to the current high-voltage power distribution cabinet is specifically as follows: The running sound corresponding to the current high-voltage power distribution cabinet is compared with the historical running sound threshold value stored in the database, if the running sound corresponding to the current high-voltage power distribution cabinet is greater than the historical running sound threshold value stored in the database, it is determined that the running state corresponding to the current high-voltage power distribution cabinet is abnormal, and the robot is immediately controlled to perform corresponding overall running temperature monitoring on the current high-voltage power distribution cabinet; Step two, fault component monitoring: remotely controlling a robot to perform appearance monitoring on each abnormal device corresponding to the high-voltage power distribution cabinet, wherein the appearance monitoring includes device appearance, device color, and device displacement, thereby monitoring the appearance qualification coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet; Step three, fault component analysis: remotely controlling a robot to monitor the performance of each abnormal device corresponding to the high-voltage power distribution cabinet, wherein the performance monitoring includes working voltage, working current, working power, and working resistance, thereby analyzing the performance evaluation coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet, and judging the performance state of each abnormal device corresponding to the high-voltage power distribution cabinet according to the performance evaluation coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet; Step four, fault type analysis: and according to the appearance qualification coefficient and the performance evaluation coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet, thereby analyzing each fault type of each abnormal device corresponding to the high-voltage power distribution cabinet; The analysis of each fault type of each abnormal device corresponding to the high-voltage power distribution cabinet is specifically as follows: The appearance qualification coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet is compared with each appearance qualification coefficient threshold value stored in the database, and the performance evaluation coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet is also compared with the performance evaluation coefficient threshold value stored in the database, if the appearance qualification coefficient of a certain abnormal device corresponding to the high-voltage power distribution cabinet is different from a certain appearance qualification coefficient threshold value stored in the database, but the performance evaluation coefficient of the certain abnormal device corresponding to the high-voltage power distribution cabinet is the same as a certain performance evaluation coefficient threshold value stored in the database, it is determined that the abnormal device is an appearance fault, if the appearance qualification coefficient of a certain abnormal device corresponding to the high-voltage power distribution cabinet is the same as a certain appearance qualification coefficient threshold value stored in the database, but the performance evaluation coefficient of the certain abnormal device corresponding to the high-voltage power distribution cabinet is different from a certain performance evaluation coefficient threshold value stored in the database, it is determined that the abnormal device is a performance fault, thereby analyzing each fault type of each abnormal device corresponding to the high-voltage power distribution cabinet; Step five, result display: displaying each fault type of each abnormal device corresponding to the high-voltage power distribution cabinet; Step six, early warning: when the running state corresponding to the high-voltage power distribution cabinet is abnormal or the performance state of a certain abnormal device corresponding to the high-voltage power distribution cabinet is abnormal, early warning is performed.

2. The method of claim 1, wherein the method further comprises: The screening obtains each abnormal device corresponding to the high-voltage power distribution cabinet, and the specific screening process is as follows: The remote control robot utilizes the infrared thermal imager to monitor and obtain the overall operation temperature image distribution of the current high-voltage power distribution cabinet in operation, and then obtains the numerical value of the operation temperature of each device from the overall operation temperature image distribution of the current high-voltage power distribution cabinet in operation, and compares the operation temperature of each device of the high-voltage power distribution cabinet with the standard operation temperature threshold value stored in the database. If the operation temperature of each device of the high-voltage power distribution cabinet is greater than the standard operation temperature threshold value stored in the database, the device is recorded as an abnormal device, and then each abnormal device corresponding to the high-voltage power distribution cabinet is screened.

3. The method of claim 1, wherein the method further comprises: The monitoring obtains the appearance qualification coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet, and the specific monitoring process is as follows: The remote control robot uses a high-definition camera to take appearance images of each abnormal device corresponding to the high-voltage power distribution cabinet in each time period, and then obtains the device appearance, device color, and device position of each abnormal device corresponding to the high-voltage power distribution cabinet from the complete appearance images of each abnormal device corresponding to the high-voltage power distribution cabinet in operation. The device appearance of each abnormal device corresponding to the high-voltage power distribution cabinet is compared with the standard device appearance of each device corresponding to the high-voltage power distribution cabinet stored in the database, and the device color and device position of each abnormal device corresponding to the high-voltage power distribution cabinet are compared with the standard device color and device position of each device corresponding to the high-voltage power distribution cabinet stored in the database. If the abnormal device corresponding to the high-voltage power distribution cabinet is the same as the standard device appearance of the device corresponding to the high-voltage power distribution cabinet stored in the database, and the device color and device position of the abnormal device corresponding to the high-voltage power distribution cabinet are the same as the standard device color and device position of the device corresponding to the high-voltage power distribution cabinet stored in the database, then the appearance qualification coefficient of the abnormal device is , otherwise it is . In this way, the appearance qualification coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet is obtained , , where n is the number of each abnormal device, , is any integer greater than 2, , and or , and .

4. The method of claim 1, wherein the method further comprises: The analysis obtains the performance evaluation coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet, and the specific analysis process is as follows: Through calculation formula Analysis yielded the corresponding high-voltage distribution cabinet number 1 Performance evaluation coefficients for each abnormal device Number each abnormal device. , For any integer greater than 2, The set reference operating voltage, For the high-voltage distribution cabinet corresponding to the first The operating voltage of the abnormal device To set the permissible difference in operating voltage, To set the permissible difference in operating current, The set reference operating current, For the high-voltage distribution cabinet corresponding to the first The operating current of an abnormal device. To set the permissible difference in operating power, The set reference operating power, For the high-voltage distribution cabinet corresponding to the first The operating power of the abnormal device To set the permissible difference in operating resistance, The set reference operating resistance, For the high-voltage distribution cabinet corresponding to the first The operating resistance of the abnormal device. , , , These are the weighting factors for the set operating voltage, operating current, operating power, and operating resistance, respectively. , , , .

5. The method of claim 1, wherein the method further comprises: The judgment obtains the performance state of each abnormal device corresponding to the high-voltage power distribution cabinet, and the specific judgment process is as follows: The performance evaluation coefficient of each abnormal device corresponding to the high-voltage power distribution cabinet is compared with the performance evaluation coefficient threshold value stored in the database. If the performance evaluation coefficient of a certain abnormal device corresponding to the high-voltage power distribution cabinet is greater than the performance evaluation coefficient threshold value stored in the database, it is judged that the performance state of the abnormal device corresponding to the high-voltage power distribution cabinet is abnormal. If the performance evaluation coefficient of a certain abnormal device corresponding to the high-voltage power distribution cabinet is less than or equal to the performance evaluation coefficient threshold value stored in the database, it is judged that the performance state of the abnormal device corresponding to the high-voltage power distribution cabinet is normal. In this way, the performance state of each abnormal device corresponding to the high-voltage power distribution cabinet is judged.

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