An optical-electricity-sensing-based pollution flashover creeping online monitoring method, system and storage medium

Abstract

This invention discloses an online monitoring method for flashover and creepage based on photoelectric sensing, comprising the following steps: Step S1, installing a photoelectric sensing video monitoring device in the flashover and creepage area of ​​the insulator and configuring the parameters of the video monitoring device; Step S3, installing a leakage current detection device near the video monitoring device; Step S5, setting a threshold for the leakage current; when the leakage current exceeds the threshold, the video monitoring device automatically adjusts its preset position to start recording video of the flashover and creepage, and transmits the video back to the monitoring center; Step S7, the monitoring center analyzes and processes the transmitted video; Step S9, feeding back the location, extent, and leakage current data of the flashover and creepage to relevant departments to formulate corresponding handling measures. This invention also discloses a corresponding system and storage medium. Implementing this invention can improve the accuracy of monitoring and positioning, thereby improving the safety of the power system.

Description

Technical Field

[0001] This invention relates to the field of creepage monitoring technology, and in particular to an online monitoring method, system and storage medium for pollution flashover creepage based on photoelectric sensing. Background Technology

[0002] With the rapid development of my country's power industry, the problem of insulator flashover and creepage has become increasingly prominent. Flashover and creepage refer to the conductive paths that form on the surface of insulators after they become contaminated, especially in humid environments. This leads to a decrease in the surface voltage of the insulator, thereby affecting the safe operation of the power system. Flashover and creepage not only cause equipment damage but can also trigger safety accidents such as fires and explosions, seriously impacting the stability of the power grid and the reliability of power supply.

[0003] Currently, the main methods for monitoring pollution flashover include manual inspection, infrared thermal imager detection, and capacitive online monitoring. Manual inspection is time-consuming and labor-intensive, and it is difficult to achieve real-time monitoring; infrared thermal imager detection is greatly affected by factors such as ambient temperature and humidity, resulting in low detection accuracy; capacitive online monitoring is easily affected by external interference, and fault location is difficult. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method, system and storage medium for online monitoring of pollution flashover and creepage based on photoelectric sensing, which can improve the monitoring accuracy and positioning accuracy, thereby improving the safety of the power system.

[0005] To address the aforementioned technical problems, as a first aspect of the present invention, a method for online monitoring of pollution flashover and creepage based on photoelectric sensing is provided, the method comprising the following steps:

[0006] Step S1: Install a video monitoring device using photoelectric sensing in the insulator flashover and creepage area to ensure that the device covers the area of ​​flashover and creepage; and configure the parameters of the video monitoring device, including resolution and frame rate, according to the type of insulator and the usage environment.

[0007] Step S3: Install a leakage current detection device near the video monitoring device to monitor the magnitude of the insulator leakage current in real time; and connect the video monitoring device and the leakage current detection device via a cable.

[0008] Step S5: Set the threshold for leakage current according to the actual situation. When the leakage current exceeds the threshold, the video monitoring device automatically adjusts the preset position to start shooting video of pollution flashover and creepage, and sends the video back to the monitoring center.

[0009] Step S7: The monitoring center analyzes the transmitted video, uses image recognition technology to identify the location and extent of pollution flashover and creepage; and processes the leakage current data to calculate the average, maximum, and minimum leakage current parameters.

[0010] Step S9: Feed back the location, extent, and leakage current data of flashover to the relevant departments, and formulate corresponding treatment measures based on the analysis results.

[0011] Optionally, in step S1, the installation height of the device is determined to be the height at which insulator flashover occurs plus a first fixed value to ensure that the complete flashover process is captured; the coverage angle of the device is at least 180 degrees to cover all directions in which flashover may occur.

[0012] Determine the required resolution and frame rate parameters to meet different monitoring needs;

[0013] Adjust the white balance and exposure compensation parameters according to the lighting conditions to ensure the clarity and smoothness of the video data.

[0014] Determine the required resolution and frame rate parameters to meet different monitoring needs;

[0015] Adjust the white balance and exposure compensation parameters according to the lighting conditions to ensure the clarity and smoothness of the video data.

[0016] Optionally, step S3 includes:

[0017] Determine the installation location of the leakage current detection device so that the magnitude of the insulator leakage current can be monitored in real time;

[0018] Choose to install it at a fixed distance below the video monitoring device;

[0019] Configure the range and sensitivity parameters of the detection device according to the magnitude of the leakage current to ensure that the magnitude of the leakage current can be accurately measured.

[0020] And select the appropriate cable type and length to ensure the stability and reliability of signal transmission.

[0021] Optionally, step S5 specifically includes:

[0022] Collect historical data on insulator flashover and creepage, including the magnitude of leakage current, the time of video recording, and the degree of flashover and creepage.

[0023] The collected historical data was analyzed to understand the patterns and characteristics of insulator flashover and creepage; the relationship between leakage current and flashover and creepage was derived through the analysis of historical data.

[0024] Based on the analysis results, a reasonable leakage current threshold is determined. This threshold should accurately reflect the actual situation of insulator flashover and creepage, while avoiding false alarms and missed alarms.

[0025] The determined threshold is applied to actual monitoring to observe the response of the video monitoring device; if the threshold is found to be improperly set, it needs to be adjusted in a timely manner to ensure the accuracy of monitoring.

[0026] The threshold was adjusted based on actual monitoring results and feedback. During the adjustment process, the correlation between leakage current and pollution flashover was taken into account, as well as the monitoring effect under different thresholds.

[0027] Through multiple adjustments and tests, the threshold settings were gradually optimized; finally, a threshold that could accurately reflect the actual situation of insulator flashover and creepage was determined and applied to actual monitoring.

[0028] Wherein: The formula for calculating the leakage current threshold is:

[0029] Threshold = α + β × Average leakage current:

[0030] Where α is the intercept term, reflecting the basic level of the leakage current threshold; β is the slope coefficient, reflecting the relationship between the leakage current and the threshold; and the average leakage current is the average value of the historical leakage current dataset.

[0031] The formula for calculating the correlation between leakage current and flashover creepage is:

[0032] Correlation coefficient = product of covariance and standard deviation;

[0033] Wherein, the covariance is the covariance of the difference between the leakage current and the degree of flashover and creepage; the product of standard deviations is the product of the standard deviation of the leakage current and the standard deviation of the degree of flashover and creepage.

[0034] Optionally, step S5 further includes:

[0035] Configure the automatic shooting function of the video monitoring device according to the threshold setting of leakage current;

[0036] When the leakage current exceeds the threshold, the video monitoring device starts to automatically take pictures;

[0037] The captured video is transmitted back to the monitoring center via cable for video data storage and processing. Optionally, step S7 includes:

[0038] The returned video is preprocessed, including noise reduction and image enhancement, to improve image quality;

[0039] Image recognition technology, including edge detection and feature extraction, is used to analyze videos to identify the location and extent of flashover and creepage.

[0040] Edge detection technology is used to detect the edge location of pollution flashover, and then feature extraction technology is used to further identify the degree of pollution flashover.

[0041] The returned leakage current data is preprocessed, including noise reduction and filtering, to improve the data quality.

[0042] Data processing software is used to process the data and calculate the average, maximum, and minimum values ​​of the leakage current.

[0043] Optionally, in step S9, the analysis results are compiled into a report or chart to visually display the status of flashover and leakage current data; then, the report or chart is sent to the power company and maintenance department so that timely measures can be taken.

[0044] Accordingly, as another aspect of the present invention, an online monitoring system for pollution flashover and creepage based on photoelectric sensing is also provided, which includes at least: a video monitoring device using photoelectric sensing, a leakage current detection device electrically connected to the video monitoring device, and a monitoring center that communicates remotely with the video monitoring device and the leakage current detection device; wherein, the system executes an online monitoring method for pollution flashover and creepage based on photoelectric sensing as described above during operation.

[0045] Accordingly, as another aspect of the present invention, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the aforementioned online monitoring method for pollution flashover and creepage based on photoelectric sensing.

[0046] Implementing the embodiments of the present invention has the following beneficial effects:

[0047] This invention provides a method, system, and storage medium for online monitoring of insulator flashover and creepage based on photoelectric sensing. By collecting and analyzing historical data, it allows for a deeper understanding of the patterns and characteristics of insulator flashover and creepage, thus accurately reflecting the actual situation. Determining a reasonable leakage current threshold can effectively avoid false alarms and missed alarms, improving monitoring accuracy. Testing and adjusting the threshold ensures the real-time performance and accuracy of the monitoring system, enabling timely detection and handling of problems. Through repeated adjustments and tests, the threshold settings are gradually optimized, more accurately reflecting the actual situation of insulator flashover and creepage, providing a scientific basis for subsequent monitoring and handling. Implementing this invention can improve the accuracy, real-time performance, and scientific rigor of monitoring, providing strong protection for the safe operation of power systems.

[0048] Meanwhile, in this invention, the system automatically adjusts the preset position and starts recording after the creepage signal and leakage current reach a threshold through front-end monitoring, avoiding the energy consumption and bandwidth usage of continuous 24-hour video operation. This not only saves costs but also improves the system's sustainability. The multi-functional video monitoring device connects the leakage current device with the online video monitoring system, enabling real-time monitoring of insulator leakage current and synchronous transmission of video information. This real-time monitoring and response capability helps to promptly detect potential pollution flashover and creepage problems, thereby taking measures to prevent accidents. By connecting the video monitoring device with the leakage current detection device, both optical and electrical signals of pollution flashover and creepage can be monitored simultaneously, improving the comprehensiveness and accuracy of monitoring. This integrated monitoring method helps to more effectively identify and handle problems. Through real-time monitoring and timely response, damage to insulators caused by pollution flashover and creepage can be effectively prevented, thereby ensuring the safe operation of the power system. This method helps to reduce the risk of power system failures caused by pollution flashover and creepage, and improve the reliability of power supply.

[0049] In summary, implementing this invention can improve the accuracy of monitoring and positioning, thereby enhancing the safety of the power system. Attached Figure Description

[0050] 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, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.

[0051] Figure 1 This is a schematic diagram of the main process of an embodiment of an online monitoring method for pollution flashover and creepage based on photoelectric sensing provided by the present invention. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0053] like Figure 1 The diagram shows the main flow of an embodiment of an online monitoring method for pollution flashover and creepage based on photoelectric sensing provided by the present invention. In this embodiment, the method includes at least the following steps:

[0054] Step S1, Install photoelectric sensing video monitoring device: Install photoelectric sensing video monitoring device in the insulator flashover and creepage area to ensure that the device can cover the area of ​​flashover and creepage; and configure the monitoring device parameters: Configure the parameters of the video monitoring device, such as resolution and frame rate, according to the type of insulator and the usage environment to adapt to different monitoring needs;

[0055] Step S3: Install a leakage current detection device near the video monitoring device to monitor the magnitude of the insulator leakage current in real time; and connect the video monitoring device and the leakage current detection device with a cable to ensure that the signal can be transmitted in real time.

[0056] Step S5: Set the threshold for leakage current according to the actual situation. When the leakage current exceeds the threshold, the video monitoring device starts to record video of pollution flashover and creepage. When the leakage current reaches the threshold, the video monitoring device automatically adjusts the preset position to start recording video of pollution flashover and creepage, and transmits the video back to the monitoring center.

[0057] In step S7, the monitoring center analyzes the transmitted video and uses image recognition technology to identify the location and extent of pollution flashover and creepage. The monitoring center also processes the leakage current data and calculates parameters such as the average, maximum, and minimum values ​​of the leakage current for further analysis.

[0058] Step S9: Feed back the location, extent, and leakage current data of flashover to the relevant departments, and formulate corresponding treatment measures based on the analysis results to prevent flashover from damaging the insulators.

[0059] Specifically, in step S1, the installation height of the device should be at least one meter higher than the height at which flashover occurs on the insulator, to ensure that the complete flashover process is captured on camera. The coverage angle of the device should be at least 180 degrees to cover all directions in which flashover may occur.

[0060] In step S1, the required parameters such as resolution and frame rate are first determined to meet different monitoring needs. A resolution of 1920x1080 and a frame rate of 30fps are selected. Then, based on the lighting conditions, parameters such as white balance and exposure compensation are adjusted to ensure the clarity and smoothness of the video data.

[0061] In step S3, firstly, the installation location of the leakage current detection device is determined to enable real-time monitoring of the insulator leakage current. It is selected to be installed 2 meters below the video monitoring device. Then, based on the magnitude of the leakage current, the range and sensitivity parameters of the detection device are configured to ensure accurate measurement of the leakage current. A range of 0.1mA to 10mA and a sensitivity of 0.1mA are selected.

[0062] At the same time, select the appropriate cable type and length to ensure the stability and reliability of signal transmission. Choose a cable with a transmission rate of 100Mbps. Then connect and secure the cable, ensuring a firm connection to prevent loosening due to vibration or wind.

[0063] Step S5 includes the following specific methods:

[0064] Collect historical data: Collect historical data on insulator flashover and creepage, including the magnitude of leakage current, the time of video recording, and the degree of flashover and creepage.

[0065] Analyzing historical data: Analyzing the collected historical data helps to understand the patterns and characteristics of insulator flashover and creepage. By analyzing historical data, the relationship between leakage current and flashover / creep can be determined.

[0066] Determine the threshold: Based on the analysis results, determine a reasonable leakage current threshold. This threshold should accurately reflect the actual situation of insulator flashover and creepage, while avoiding false alarms and missed alarms.

[0067] Test threshold: Apply the determined threshold to actual monitoring and observe the response of the video monitoring device. If the threshold setting is found to be inappropriate, it needs to be adjusted in a timely manner to ensure the accuracy of monitoring.

[0068] Threshold adjustment: Adjust the threshold based on actual monitoring results and feedback. During the adjustment process, the correlation between leakage current and pollution flashover creepage, as well as the monitoring effect under different thresholds, can be referenced.

[0069] Threshold optimization: Through multiple adjustments and tests, the threshold settings were gradually optimized. Finally, a threshold that accurately reflects the actual situation of insulator flashover and creepage was determined and applied to actual monitoring.

[0070] Wherein: The formula for calculating the leakage current threshold is:

[0071] Threshold = α + β × Average leakage current:

[0072] Where: α is the intercept term, reflecting the basic level of the leakage current threshold; β is the slope coefficient, reflecting the relationship between the leakage current and the threshold; the average leakage current is the average value of the historical leakage current dataset.

[0073] The formula for calculating the correlation between leakage current and pollution flashover creepage is:

[0074] The correlation coefficient is the product of covariance and standard deviation; where the covariance is the covariance of the difference between leakage current and the degree of flashover and creepage; and the product of standard deviations is the product of the standard deviation of leakage current and the standard deviation of flashover and creepage.

[0075] Simultaneously, based on the leakage current threshold setting, the automatic shooting function of the video monitoring device is configured. The leakage current threshold is set to 1mA; when the leakage current exceeds 1mA, the video monitoring device begins automatic shooting. The captured video is then transmitted back to the monitoring center via cable for video data storage and processing.

[0076] In step S7, the returned video is first preprocessed, such as through noise reduction and image enhancement, to improve image quality. Then, image recognition techniques, such as edge detection and feature extraction, are used to analyze the video to identify the location and extent of flashover and electrocution. Edge detection technology can detect the edge locations of flashover and electrocution, and feature extraction technology can further identify the degree of flashover and electrocution.

[0077] The returned leakage current data is then preprocessed, such as through noise reduction and filtering, to improve data quality. Next, data processing software, such as Excel or Python, is used to process the data and calculate parameters such as the average, maximum, and minimum leakage current values. In this specific example, the average leakage current is calculated to be 1 mA, the maximum to be 5 mA, and the minimum to be 0.5 mA.

[0078] In step S9, the analysis results are compiled into a report or chart to visually display the status of flashover and leakage current data. Then, the report or chart is sent to relevant departments, such as the power company and maintenance department, to facilitate timely action. The report is sent to the power company, which then formulates appropriate handling measures, such as replacing insulators or strengthening maintenance. Feedback should be received within 10 minutes.

[0079] In this invention, by collecting and analyzing historical data, the patterns and characteristics of insulator flashover and creepage due to pollution can be deeply understood, thus accurately reflecting the actual situation of insulator flashover and creepage. Determining a reasonable leakage current threshold can effectively avoid false alarms and missed alarms, improving monitoring accuracy. Testing and adjusting the threshold ensures the real-time performance and accuracy of the monitoring system, enabling timely detection and handling of problems. Through multiple adjustments and tests, the threshold setting is gradually optimized, more accurately reflecting the actual situation of insulator flashover and creepage due to pollution, providing a scientific basis for subsequent monitoring and handling. In summary, step S5 has significant beneficial effects in the entire photoelectric induction-based online monitoring method for flashover and creepage due to pollution, improving the accuracy, real-time performance, and scientific rigor of monitoring, and providing strong protection for the safe operation of the power system.

[0080] In this invention, the system automatically adjusts a preset position and begins recording once the creepage signal and leakage current reach a threshold, avoiding the energy consumption and bandwidth usage of continuous 24-hour video recording. This not only saves costs but also improves the system's sustainability. The multi-functional video monitoring device connects the leakage current device to the online video monitoring system, enabling real-time monitoring of insulator leakage current and synchronous transmission of video information. This real-time monitoring and response capability helps to promptly detect potential pollution flashover and creepage problems, allowing for preventative measures to avoid accidents. By connecting the video monitoring device to the leakage current detection device, both optical and electrical signals of pollution flashover and creepage can be monitored simultaneously, improving the comprehensiveness and accuracy of monitoring. This integrated monitoring method helps to more effectively identify and address problems. Through real-time monitoring and timely response, damage to insulators caused by pollution flashover and creepage can be effectively prevented, thereby ensuring the safe operation of the power system. This method helps reduce the risk of power system failures caused by pollution flashover and creepage, improving the reliability of power supply.

[0081] As another aspect of the present invention, the present invention also provides an online monitoring system for pollution flashover and creepage based on photoelectric sensing, which includes at least: a video monitoring device employing photoelectric sensing, a leakage current detection device electrically connected to the video monitoring device, and a monitoring center that remotely communicates with the video monitoring device and the leakage current detection device; the system performs the above-mentioned functions during operation. Figure 1 The described embodiment presents an online monitoring method for pollution flashover and creepage based on photoelectric sensing. For further details, please refer to and combine with the foregoing description. Figure 1 The description of that will not be repeated here.

[0082] In another aspect, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the following... Figure 1 The steps of an online monitoring method for pollution flashover and creepage based on photoelectric sensing are described below. For more details, please refer to and combine with the aforementioned... Figure 1 The description,

[0083] Implementing the embodiments of the present invention has the following beneficial effects:

[0084] This invention provides a method, system, and storage medium for online monitoring of insulator flashover and creepage based on photoelectric sensing. By collecting and analyzing historical data, it allows for a deeper understanding of the patterns and characteristics of insulator flashover and creepage, thus accurately reflecting the actual situation. Determining a reasonable leakage current threshold can effectively avoid false alarms and missed alarms, improving monitoring accuracy. Testing and adjusting the threshold ensures the real-time performance and accuracy of the monitoring system, enabling timely detection and handling of problems. Through repeated adjustments and tests, the threshold settings are gradually optimized, more accurately reflecting the actual situation of insulator flashover and creepage, providing a scientific basis for subsequent monitoring and handling. Implementing this invention can improve the accuracy, real-time performance, and scientific rigor of monitoring, providing strong protection for the safe operation of power systems.

[0085] Meanwhile, in this invention, the system automatically adjusts the preset position and starts recording after the creepage signal and leakage current reach a threshold through front-end monitoring, avoiding the energy consumption and bandwidth usage of continuous 24-hour video operation. This not only saves costs but also improves the system's sustainability. The multi-functional video monitoring device connects the leakage current device with the online video monitoring system, enabling real-time monitoring of insulator leakage current and synchronous transmission of video information. This real-time monitoring and response capability helps to promptly detect potential pollution flashover and creepage problems, thereby taking measures to prevent accidents. By connecting the video monitoring device with the leakage current detection device, both optical and electrical signals of pollution flashover and creepage can be monitored simultaneously, improving the comprehensiveness and accuracy of monitoring. This integrated monitoring method helps to more effectively identify and handle problems. Through real-time monitoring and timely response, damage to insulators caused by pollution flashover and creepage can be effectively prevented, thereby ensuring the safe operation of the power system. This method helps to reduce the risk of power system failures caused by pollution flashover and creepage, and improve the reliability of power supply.

[0086] In summary, implementing this invention can improve the accuracy of monitoring and positioning, thereby enhancing the safety of the power system.

[0087] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0088] Obviously, the embodiments described above are merely some embodiments of the present invention, not all embodiments. The accompanying drawings show preferred embodiments of the present invention, but do not limit the patent scope of the present invention. The present invention can be implemented in many different forms; rather, these embodiments are provided to provide a more thorough and complete understanding of the disclosure of the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the patent protection scope of this invention.

Claims

1. A method for online monitoring of pollution flashover and creepage based on photoelectric sensing, characterized in that, At least the following steps are included: Step S1: Install a video monitoring device using photoelectric sensing in the insulator flashover and creepage area, and configure the parameters of the video monitoring device, including resolution and frame rate, according to the type of insulator and the usage environment. Step S3: Install a leakage current detection device near the video monitoring device to monitor the magnitude of the insulator leakage current in real time; and connect the video monitoring device and the leakage current detection device via a cable. Step S5: Set the threshold for leakage current according to the actual situation. When the leakage current exceeds the threshold, the video monitoring device automatically adjusts the preset position to start shooting video of pollution flashover and creepage, and sends the video back to the monitoring center. Step S7: The monitoring center analyzes the transmitted video, uses image recognition technology to identify the location and extent of pollution flashover and creepage; and processes the leakage current data to calculate the average, maximum, and minimum leakage current parameters. Step S9: Feed back the location, extent, and leakage current data of flashover to the relevant departments, and formulate corresponding treatment measures based on the analysis results; Specifically, step S5 includes: Collect historical data on insulator flashover and creepage, including the magnitude of leakage current, the time of video capture, and the extent of flashover and creepage. The collected historical data was analyzed to understand the patterns and characteristics of insulator flashover and creepage; the relationship between leakage current and flashover and creepage was derived through the analysis of historical data. Based on the analysis results, a reasonable leakage current threshold is determined; The determined thresholds were applied to actual monitoring, and the response of the video monitoring device was observed. The threshold was adjusted based on actual monitoring results and feedback. During the adjustment process, the correlation between leakage current and pollution flashover was taken into account, as well as the monitoring effect under different thresholds. Through multiple adjustments and tests, the threshold settings were gradually optimized; finally, a threshold that could accurately reflect the actual situation of insulator flashover and creepage was determined and applied to actual monitoring. Wherein: The formula for calculating the leakage current threshold is: Threshold = α + β × Average leakage current: Where α is the intercept term, reflecting the basic level of the leakage current threshold; β is the slope coefficient, reflecting the relationship between the leakage current and the threshold; and the average leakage current is the average value of the historical leakage current dataset. The formula for calculating the correlation between leakage current and flashover creepage is: Correlation coefficient = product of covariance and standard deviation; Wherein, the covariance is the covariance of the difference between the leakage current and the degree of flashover and creepage; the product of standard deviations is the product of the standard deviation of the leakage current and the standard deviation of the degree of flashover and creepage.

2. The method as described in claim 1, characterized in that, Step S1 includes: The installation height of the video monitoring device is determined to be the height at which insulator flashover and creepage occur plus a first fixed value to ensure that the complete flashover and creepage process is captured; the coverage angle of the video monitoring device is at least 180 degrees to cover all directions in which flashover and creepage may occur. Determine the required resolution and frame rate parameters to meet different monitoring needs; Adjust the white balance and exposure compensation parameters according to the lighting conditions to ensure the clarity and smoothness of the video data.

3. The method as described in claim 2, characterized in that, Step S3 includes: Determine the installation location of the leakage current detection device so that the magnitude of the insulator leakage current can be monitored in real time; Choose to install it at a fixed distance below the video monitoring device; Configure the range and sensitivity parameters of the detection device according to the magnitude of the leakage current to ensure that the magnitude of the leakage current can be accurately measured. And select the appropriate cable type and length to ensure the stability and reliability of signal transmission.

4. The method as described in claim 3, characterized in that, Step S5 further includes: Configure the automatic shooting function of the video monitoring device according to the threshold setting of leakage current; When the leakage current exceeds the threshold, the video monitoring device starts to automatically take pictures; The captured videos are transmitted back to the monitoring center via cable for storage and processing of the video data.

5. The method as described in claim 4, characterized in that, Step S7 includes: The returned video is preprocessed, including noise reduction and image enhancement, to improve image quality; Image recognition technology, including edge detection and feature extraction, is used to analyze videos to identify the location and extent of pollution flashover. Edge detection technology is used to detect the edge location of pollution flashover, and then feature extraction technology is used to further identify the degree of pollution flashover. The returned leakage current data is preprocessed, including noise reduction and filtering, to improve data quality; Data processing software is used to process the data and calculate the average, maximum, and minimum values ​​of the leakage current.

6. The method as described in claim 5, characterized in that, In step S9, the analysis results are compiled into a report or chart to visually display the status of flashover and leakage current data; then, the report or chart is sent to the power company or maintenance department so that timely measures can be taken.

7. An online monitoring system for pollution flashover and creepage based on photoelectric sensing, characterized in that, The system includes at least a photoelectric sensing video monitoring device, a leakage current detection device electrically connected to the video monitoring device, and a monitoring center that communicates remotely with the video monitoring device and the leakage current detection device; wherein, when the system is running, it executes a photoelectric sensing-based online monitoring method for pollution flashover and creepage as described in any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the online monitoring method for pollution flashover and creepage based on photoelectric sensing as described in any one of claims 1 to 6.

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