Deterioration characteristics assessment method and system for composite insulators of transmission lines

Abstract

The present application provides a method and system for evaluating the degradation characteristics of composite insulators of power transmission lines. The method comprises: obtaining monitoring data of a monitoring probe; wherein the monitoring probe is externally connected to the composite insulator, the external connection distance between the monitoring probe and the composite insulator is set based on the maximum current passing through the conductive inner core of the composite insulator, and the monitoring probe is configured with an insulating shell that completely surrounds the monitoring probe; based on the monitoring data, the degradation characteristics of the composite insulator are evaluated to obtain the degradation characteristics evaluation results of the composite insulator. The method provided in the present application can help improve the degradation characteristics of composite insulators of power transmission lines and effectively evaluate their performance.

Description

Technical Field

[0001] The present application relates to the field of voltage and insulation technology, and in particular to a method and system for evaluating degradation characteristics of composite insulators of power transmission lines. Background Art

[0002] Composite insulators can significantly improve the external insulation performance of power transmission and transformation equipment and greatly reduce the flashover accident rate, but they cannot completely eliminate flashover accidents. Severe surface discharge on composite insulators will threaten the safe and stable operation of the power grid. Therefore, the condition of the outer surface of composite insulators must be monitored.

[0003] In traditional solutions, two non-real-time implementation schemes are mainly used. One is to dynamically predict the aging of composite insulators by considering the impact of the environment, natural losses, etc., and the other is to regularly detect composite insulators close to the transmission line by manually climbing poles or manipulating mechanical arms, and then detect them through related equipment operations. At present, traditional solutions cannot monitor the condition of the outer surface of composite insulators in real time, and it is difficult to achieve timely warning of surface discharge of composite insulators, which poses a safety hazard.

[0004] Therefore, the present application provides a method and system for evaluating the degradation characteristics of composite insulators of transmission lines to solve one of the above-mentioned technical problems. Summary of the invention

[0005] The purpose of this application is to provide a method and system for evaluating the degradation characteristics of composite insulators of power transmission lines, which can solve at least one of the technical problems mentioned above. The specific solution is as follows:

[0006] According to a specific embodiment of the present application, in a first aspect, the present application provides a method for evaluating degradation characteristics of a composite insulator of a transmission line, wherein a monitoring probe is externally connected to the composite insulator, and an external connection distance between the monitoring probe and the composite insulator is set based on a maximum current passing through a conductive core of the composite insulator, and the monitoring probe is configured with an insulating shell that completely surrounds the monitoring probe, and the method comprises:

[0007] Acquire monitoring data of a monitoring probe; and based on the monitoring data, evaluate the degradation characteristics of the composite insulator to obtain an evaluation result of the degradation characteristics of the composite insulator.

[0008] In one embodiment, the monitoring data includes first visual data obtained based on visible light collection; the degradation characteristics of the composite insulator are evaluated based on the monitoring data to obtain a degradation characteristics evaluation result of the composite insulator, including: based on the first visual data, a degradation characteristics evaluation of the integrity of the surface of the composite insulator is performed to obtain a first evaluation result; the first evaluation result is a degradation characteristics evaluation result used to represent the surface integrity of the composite insulator.

[0009] In one embodiment, the monitoring data also includes second visual data obtained based on infrared light collection; based on the monitoring data, the degradation characteristics of the composite insulator are evaluated to obtain the degradation characteristics evaluation result of the composite insulator, and also includes: inputting the second visual data into an infrared reflection recognition model to obtain first reflection data of the surface of the composite insulator to the infrared light; based on the first reflection data and based on a preconfigured reflection data mapping table, mapping to obtain second reflection data of the surface of the composite insulator to ultraviolet light; based on the second reflection data, the degradation characteristics of the ultraviolet coating reflection function of the composite insulator are evaluated to obtain a second evaluation result; the second evaluation result is used to represent the degradation characteristics evaluation result of the ultraviolet coating reflection function.

[0010] In one implementation, in the reflection data mapping table, a ratio between the first reflection data and the second reflection data conforms to a ratio range of 2500 to 3174.

[0011] In one embodiment, the monitoring probe is externally connected to the lower part of the composite insulator, and a broadcast opening is provided at the lower center of the insulating shell of the monitoring probe; the acquisition of the monitoring data of the monitoring probe includes: receiving broadcast data containing the monitoring data sent by the monitoring probe, and obtaining the monitoring data of the monitoring probe.

[0012] According to a specific embodiment of the present application, in a second aspect, the present application provides a transmission line composite insulator degradation characteristic evaluation system, comprising:

[0013] A monitoring probe, wherein the monitoring probe is externally connected to the composite insulator, and an external distance between the monitoring probe and the composite insulator is set based on a maximum current passing through a conductive core of the composite insulator, and the monitoring probe is provided with an insulating shell that completely surrounds the monitoring probe; a processor, wherein the processor is used to: obtain monitoring data of the monitoring probe; and based on the monitoring data, perform degradation characteristic evaluation on the composite insulator to obtain a degradation characteristic evaluation result of the composite insulator.

[0014] In one embodiment, the monitoring data includes first visual data obtained based on visible light collection; the processor is also used to: based on the first visual data, evaluate the degradation characteristics of the integrity of the surface of the composite insulator to obtain a first evaluation result; the first evaluation result is an evaluation result of the degradation characteristics of the integrity of the surface of the composite insulator.

[0015] In one embodiment, the monitoring data also includes second visual data obtained based on infrared light collection; the processor is also used to: input the second visual data into an infrared reflection recognition model to obtain first reflection data of the surface of the composite insulator to the infrared light; based on the first reflection data and based on a preconfigured reflection data mapping table, map to obtain second reflection data of the surface of the composite insulator to ultraviolet light; based on the second reflection data, evaluate the degradation characteristics of the ultraviolet coating reflection function of the composite insulator to obtain a second evaluation result; the second evaluation result is used to represent the degradation characteristics evaluation result of the ultraviolet coating reflection function.

[0016] In one implementation, in the reflection data mapping table, a ratio between the first reflection data and the second reflection data conforms to a ratio range of 2500 to 3174.

[0017] In one embodiment, the monitoring probe is externally connected to the lower part of the composite insulator, and a broadcast opening is provided at the lower center of the insulating shell of the monitoring probe; the system also includes: a communicator, the communicator is used to receive broadcast data containing the monitoring data sent by the monitoring probe, obtain the monitoring data of the monitoring probe, and transmit the monitoring data to the processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A flow chart of a method for evaluating degradation characteristics of composite insulators of a power transmission line according to an embodiment of the present application is shown;

[0019] Figure 2 A flow chart of a method for evaluating the surface integrity of a composite insulator for a power transmission line according to an embodiment of the present application is shown;

[0020] Figure 3 A flow chart of a method for evaluating the reflective function of an ultraviolet coating on a composite insulator of a power transmission line according to an embodiment of the present application is shown;

[0021] Figure 4 A flow chart of another method for evaluating degradation characteristics of composite insulators of power transmission lines according to an embodiment of the present application is shown;

[0022] Figure 5 A schematic diagram of a monitoring probe according to an embodiment of the present application is shown;

[0023] Figure 6 A block diagram of a system for evaluating degradation characteristics of composite insulators of a power transmission line according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0025] The optional embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0026] The embodiment provided in the present application is an embodiment of a method for evaluating degradation characteristics of composite insulators of transmission lines.

[0027] Combine the following Figure 1 The embodiments of the present application are described in detail.

[0028] Figure 1 A flow chart of a method for evaluating degradation characteristics of composite insulators of a power transmission line according to an embodiment of the present application is shown. Figure 1 As shown, it includes step S101 and step S102.

[0029] Step S101, acquiring monitoring data of a monitoring probe.

[0030] The monitoring probe is externally connected to the composite insulator, and the external distance between the monitoring probe and the composite insulator is set based on the maximum current passing through the conductive inner core of the composite insulator. The monitoring probe is configured with an insulating shell that completely surrounds the monitoring probe.

[0031] In one embodiment, the monitoring probe 1 is connected externally as follows: Figure 5 Wherein, 11 represents a detection unit, which is used to collect monitoring data, and 12 represents an insulating shell that wraps the monitoring probe 1.

[0032] Step S102: Based on the monitoring data, a degradation characteristic evaluation is performed on the composite insulator to obtain a degradation characteristic evaluation result of the composite insulator.

[0033] The method provided in the present application monitors the outer surface condition of the composite insulator in real time through a monitoring probe externally connected to the composite insulator, and obtains the degradation characteristic evaluation result of the composite insulator by evaluating the degradation characteristics of the monitoring data, thereby providing a solution for the power transmission field that can monitor the degradation characteristics of the composite insulator in real time, and improving the problems of high cost and poor timeliness of degradation monitoring of composite insulators.

[0034] In the present application, the monitoring data includes first visual data obtained based on visible light collection. The present application can evaluate the surface integrity of the composite insulator by obtaining the first visual data of the monitoring probe.

[0035] Figure 2 A flow chart of a method for evaluating the surface integrity of a composite insulator of a transmission line according to an embodiment of the present application is shown. Figure 2 As shown, the process includes the following steps S201 to S203.

[0036] Step S201, obtaining first visual data of the monitoring probe.

[0037] Step S202: Based on the first visual data, the degradation characteristics of the integrity of the surface of the composite insulator are evaluated to obtain a first evaluation result.

[0038] In the present application, the first evaluation result is a degradation characteristic evaluation result used to indicate the surface integrity of the composite insulator.

[0039] In the present application, the monitoring data also includes second visual data obtained based on infrared light collection. The present application can evaluate the reflection function of the ultraviolet coating of the composite insulator by obtaining the second visual data of the monitoring probe.

[0040] Figure 3 A flow chart of a method for evaluating the reflective function of a UV coating on a composite insulator of a transmission line according to an embodiment of the present application is shown. Figure 3 As shown, it includes step S301 and step S302.

[0041] Step S301, obtaining second visual data of the monitoring probe.

[0042] Step S302: input the second visual data into an infrared reflection recognition model to obtain first reflection data of the surface of the composite insulator to infrared light.

[0043] Step S303: Based on the first reflection data and a preconfigured reflection data mapping table, second reflection data of the surface of the composite insulator to the ultraviolet light is mapped and obtained.

[0044] Step S304: Based on the second reflection data, the degradation characteristics of the ultraviolet coating reflection function of the composite insulator are evaluated to obtain a second evaluation result.

[0045] The second evaluation result is an evaluation result for indicating the degradation characteristics of the reflection function of the ultraviolet coating.

[0046] At present, traditional ultraviolet detection equipment is not suitable for long-term monitoring under close conditions, especially under daylight conditions, and it is impossible to evaluate the reflective performance of ultraviolet coatings. In this application, considering the limitations of existing detection schemes, infrared reflective performance evaluation is considered for detection, and then the data obtained by infrared reflective performance evaluation is mapped through the similarities and differences between infrared wavelengths and ultraviolet wavelengths, so as to obtain the ultraviolet reflective performance evaluation results of ultraviolet coatings indirectly.

[0047] In the infrared reflection recognition model of this application, infrared cameras or infrared sensors are used to obtain infrared reflection data of objects, ensuring that samples of sufficient quantity and diversity are collected to cover different object categories and states. For the infrared reflection data obtained, preprocessing operations are performed, that is, denoising, enhancing, cropping and normalizing the infrared image to improve the data quality and the accuracy of the model. On this basis, features such as intensity, color, shape, etc. are extracted from the infrared reflection data, and then the infrared reflection recognition task is performed through a support vector machine (SVM). Before use, the appropriate model structure and parameters can be selected according to data characteristics, computing resources and requirements to input the preprocessed data into the model for training. Use appropriate training algorithms and optimizers to adjust the parameters of the model to minimize the loss function, such as monitoring the accuracy and loss during the training process, making necessary adjustments and optimizations, and evaluating the performance of the model by such as accuracy, recall rate, F1 value, etc. The trained model is deployed in the actual infrared detection task to realize real-time infrared reflection recognition function. Model optimization and improvement continuously collect new data, and retrain and optimize the model.

[0048] The reflection data mapping table is a mapping relationship table constructed based on the return data obtained under infrared detection at different wavelengths and the return data obtained under ultraviolet detection at different wavelengths.

[0049] In the present application, the second reflection data may be, for example, the measured reflection intensity of the layer surface with respect to ultraviolet light.

[0050] In one embodiment, the second evaluation result = W 反 ×Reflection efficiency+W 修正 ×Layer aging correction value.

[0051] Where, reflection efficiency = (initial reflection intensity - measured reflection intensity) / initial reflection intensity × 100%, layer aging correction value = UV coating shelf life / (UV coating coating time - UV coating coating time) × initial reflection intensity, W 反 is the weight of reflection efficiency, W 修正 The weight of the layer aging correction value. The default configuration is W 反 =0.5,W 修正 =0.5, and after actual measurement, the weight is fine-tuned according to the actual situation of the UV coating so that the second evaluation result value is in the range of 0 to 1.

[0052] In another embodiment, the second evaluation result = W 反 ×Reflection efficiency+W 修正 ×Layer aging correction value+W 劣化 ×Degradation rate+W 接触角 ×Contact angle change rate.

[0053] Wherein, degradation rate = (original performance of UV coating - current performance of UV coating) / original performance of UV coating × 100%. Contact angle change rate = (original contact angle - current contact angle) / original contact angle × 100%. Wherein, W 劣化 is the weight of the degradation rate, W 接触角 is the weight of the contact angle change rate, the default configuration is W 反 =0.25,W 修正 =0.25,W 劣化 =0.25,W 接触角 =0.25, and after actual measurement, the weight is fine-tuned according to the actual situation of the UV coating so that the second evaluation result value is in the range of 0 to 1.

[0054] In the above embodiments, the initial reflection intensity, the original performance of the UV coating, and the original contact angle are obtained based on actual measurements of the UV coating when the UV coating is applied, and the current performance of the UV coating and the current contact angle are obtained based on visual analysis of the first visual data.

[0055] In one embodiment, considering that the ultraviolet light that can pass through the ozone layer includes two types, UV-A and UV-B, and UV-A has a longer wavelength and has the greatest impact on the ultraviolet coating. Therefore, it is considered to use the return data of UV-A to construct a mapping table. Further, based on the reflection conversion ratio of UV-A and infrared waves, the reflection effect of the coating is evaluated to determine whether it is damaged.

[0056] In the present application, UV-A can have a wavelength of 315-400nm. On the basis of the wavelength range of UV-A, the infrared wavelength range of 760nm to 1000000nm is further screened, that is, an infrared wavelength of 500μm to 1000μm is selected as the detection infrared wavelength for collecting the second visual data, so that the wavelength difference between UV-A and the detection infrared wave is obvious enough to meet the error requirements required for mapping. On this basis, in the reflection data mapping table, the ratio between the first reflection data and the second reflection data meets the ratio range of 2500 to 3174. Correspondingly, for the reflection data of UV-A, the data error between the true value and the mapping value is less than 1.13%.

[0057] In one embodiment, the monitoring probe is externally connected to the lower part of the composite insulator, and a broadcast opening is provided at the lower center of the insulating shell of the monitoring probe. Figure 5 As shown, 13 represents a broadcast opening arranged at the lower center of the insulating housing 12. The broadcast opening 13 has an electric field shielding coating, which can shield the electric field interference of the transmission line while ensuring that the monitoring probe broadcasts data, so as to ensure that the component performance of the monitoring probe is not affected by the transmission line.

[0058] Figure 4 A flow chart of another method for evaluating degradation characteristics of composite insulators of transmission lines according to an embodiment of the present application is shown. Figure 4 As shown, it includes step S401 and step S402.

[0059] Step S401: receiving broadcast data including monitoring data sent by a monitoring probe, and obtaining the monitoring data of the monitoring probe.

[0060] Step S402: Based on the monitoring data, degradation characteristics of the composite insulator are evaluated to obtain a degradation characteristics evaluation result of the composite insulator.

[0061] The present application also provides a system embodiment that is consistent with the above embodiment, which is used to implement the method steps described in the above embodiment. The explanation based on the same name meaning is the same as the above embodiment, and has the same technical effect as the above embodiment, which will not be repeated here.

[0062] Figure 6 A block diagram of a transmission line composite insulator degradation characteristic evaluation system 600 according to an embodiment of the present application is shown.

[0063] like Figure 6 As shown, the present application provides a transmission line composite insulator degradation characteristic evaluation system 600, including a monitoring probe 601 and a processor 602.

[0064] The monitoring probe 601 is externally connected to the composite insulator. The external distance between the monitoring probe 601 and the composite insulator is set based on the maximum current passing through the conductive core of the composite insulator. The monitoring probe 601 is configured with an insulating shell that completely surrounds the monitoring probe 601.

[0065] Processor 602, processor 602 is used to: obtain monitoring data of monitoring probe 601. Based on the monitoring data, perform degradation characteristic evaluation on the composite insulator to obtain a degradation characteristic evaluation result of the composite insulator.

[0066] In one embodiment, the monitoring data includes first visual data obtained based on visible light collection. The processor 602 is also used to: evaluate the degradation characteristics of the integrity of the surface of the composite insulator based on the first visual data to obtain a first evaluation result. The first evaluation result is a degradation characteristic evaluation result used to represent the integrity of the surface of the composite insulator.

[0067] In one embodiment, the monitoring data also includes second visual data obtained based on infrared light collection. The processor 602 is also used to: input the second visual data into the infrared reflection recognition model to obtain first reflection data of the surface of the composite insulator to the infrared light. Based on the first reflection data and based on a preconfigured reflection data mapping table, second reflection data of the surface of the composite insulator to the ultraviolet light is mapped. Based on the second reflection data, the degradation characteristics of the ultraviolet coating reflection function of the composite insulator are evaluated to obtain a second evaluation result. The second evaluation result is used to represent the degradation characteristics evaluation result of the ultraviolet coating reflection function.

[0068] In one implementation, in the reflection data mapping table, a ratio between the first reflection data and the second reflection data conforms to a ratio range of 2500 to 3174.

[0069] In one embodiment, the monitoring probe 601 is externally connected to the lower part of the composite insulator, and a broadcast opening is provided at the lower center of the insulating shell of the monitoring probe 601. The system further includes: a communicator, the communicator is used to receive broadcast data containing monitoring data sent by the monitoring probe 601, obtain the monitoring data of the monitoring probe 601, and transmit the monitoring data to the processor 602.

[0070] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for evaluating the degradation characteristics of composite insulators of power transmission lines, characterized in that: The monitoring probe is externally connected to the composite insulator, and the external connection distance between the monitoring probe and the composite insulator is set based on the maximum current passing through the conductive inner core of the composite insulator. The monitoring probe is configured with an insulating shell that completely surrounds the monitoring probe; The method comprises: Acquire monitoring data from monitoring probes; Based on the monitoring data, evaluating the degradation characteristics of the composite insulator to obtain a degradation characteristic evaluation result of the composite insulator; The monitoring data includes first visual data obtained based on visible light collection; The step of evaluating the degradation characteristics of the composite insulator based on the monitoring data to obtain the degradation characteristics evaluation result of the composite insulator includes: Based on the first visual data, evaluating the degradation characteristics of the integrity of the surface of the composite insulator to obtain a first evaluation result; The first evaluation result is a degradation characteristic evaluation result used to indicate the surface integrity of the composite insulator; The monitoring data also includes second visual data acquired based on infrared light collection; The step of evaluating the degradation characteristics of the composite insulator based on the monitoring data to obtain the degradation characteristics evaluation result of the composite insulator further includes: Inputting the second visual data into an infrared reflection recognition model to obtain first reflection data of the infrared light from the surface of the composite insulator; Based on the first reflection data and a preconfigured reflection data mapping table, mapping is performed to obtain second reflection data of the surface of the composite insulator to the ultraviolet light; Based on the second reflection data, evaluating the degradation characteristics of the ultraviolet coating reflection function of the composite insulator to obtain a second evaluation result; The second evaluation result is used to indicate the degradation characteristic evaluation result of the ultraviolet coating reflection function; The infrared reflection recognition model uses an infrared camera or infrared sensor to obtain infrared reflection data of objects, ensuring that a sufficient number and diversity of samples are collected to cover different object categories and states; preprocessing operations are performed on the acquired infrared reflection data, and infrared images are denoised, enhanced, cropped and normalized to improve data quality and model accuracy, extract infrared reflection data features, and then perform infrared reflection recognition tasks through support vector machines. Before use, select appropriate model structure and parameters based on data characteristics, computing resources and requirements. Input preprocessed data into the model for training, use appropriate training algorithms and optimizers to adjust the model parameters to minimize the loss function, monitor the accuracy and loss during training, make adjustments and optimizations, and evaluate the performance of the model through accuracy, recall rate, and F1 value. Deploy the trained model to the actual infrared detection task to achieve real-time infrared reflection recognition function, model optimization and improvement, continuously collect new data, and retrain and optimize the model; The reflection data mapping table is a mapping relationship constructed based on the return data obtained under infrared detection of different wavelengths and the return data obtained under ultraviolet detection of different wavelengths; The second reflection data is the measured reflection intensity of the layer surface for ultraviolet light; Second evaluation result = W 反 ×Reflection efficiency+W 修正 ×Layer aging correction value+W 劣化 ×Degradation rate+W 接触角 ×Contact angle change rate; Where, degradation rate = (original performance of UV coating - current performance of UV coating) / original performance of UV coating × 100%; contact angle change rate = (original contact angle - current contact angle) / original contact angle × 100%; where, W 劣化 is the weight of the degradation rate, W 接触角 is the weight of the contact angle change rate, the default configuration is W 反 =0.25, W 修正 =0.25, W 劣化 =0.25, W 接触角 =0.25, and after actual measurement, the weight is fine-tuned according to the actual situation of the UV coating so that the second evaluation result value is in the range of 0 to 1.

2. The method according to claim 1, characterized in that In the reflection data mapping table, the ratio between the first reflection data and the second reflection data conforms to the ratio range of 2500 to 3174.

3. The method according to claim 1, characterized in that The monitoring probe is externally connected to the lower part of the composite insulator, and a broadcast opening is provided at the lower center of the insulating shell of the monitoring probe; The step of obtaining monitoring data from the monitoring probe includes: The broadcast data including the monitoring data sent by the monitoring probe is received to obtain the monitoring data of the monitoring probe.

4. A transmission line composite insulator degradation characteristic evaluation system, characterized in that: include: A monitoring probe, the monitoring probe is externally connected to the composite insulator, the external connection distance between the monitoring probe and the composite insulator is set based on the maximum current passing through the conductive core of the composite insulator, and the monitoring probe is configured with an insulating shell that completely surrounds the monitoring probe; A processor, the processor is used to: obtain monitoring data of the monitoring probe; based on the monitoring data, evaluate the degradation characteristics of the composite insulator to obtain a degradation characteristic evaluation result of the composite insulator; The monitoring data includes first visual data obtained based on visible light collection; The processor is further configured to: Based on the first visual data, evaluating the degradation characteristics of the integrity of the surface of the composite insulator to obtain a first evaluation result; The first evaluation result is a degradation characteristic evaluation result used to represent the surface integrity of the composite insulator; The monitoring data also includes second visual data acquired based on infrared light collection; The processor is further configured to: Inputting the second visual data into an infrared reflection recognition model to obtain first reflection data of the infrared light from the surface of the composite insulator; Based on the first reflection data and a preconfigured reflection data mapping table, mapping is performed to obtain second reflection data of the surface of the composite insulator to the ultraviolet light; Based on the second reflection data, evaluating the degradation characteristics of the ultraviolet coating reflection function of the composite insulator to obtain a second evaluation result; The second evaluation result is used to indicate the degradation characteristic evaluation result of the ultraviolet coating reflection function; The infrared reflection recognition model uses an infrared camera or infrared sensor to obtain infrared reflection data of objects, ensuring that a sufficient number and diversity of samples are collected to cover different object categories and states; preprocessing operations are performed on the acquired infrared reflection data, and infrared images are denoised, enhanced, cropped and normalized to improve data quality and model accuracy, extract infrared reflection data features, and then perform infrared reflection recognition tasks through support vector machines. Before use, select appropriate model structure and parameters based on data characteristics, computing resources and requirements. Input preprocessed data into the model for training, use appropriate training algorithms and optimizers to adjust the model parameters to minimize the loss function, monitor the accuracy and loss during training, make adjustments and optimizations, and evaluate the performance of the model through accuracy, recall rate, and F1 value. Deploy the trained model to the actual infrared detection task to achieve real-time infrared reflection recognition function, model optimization and improvement, continuously collect new data, and retrain and optimize the model; The reflection data mapping table is a mapping relationship constructed based on the return data obtained under infrared detection of different wavelengths and the return data obtained under ultraviolet detection of different wavelengths; The second reflection data is the measured reflection intensity of the layer surface for ultraviolet light; Second evaluation result = W 反 ×Reflection efficiency+W 修正 ×Layer aging correction value+W 劣化 ×Degradation rate+W 接触角 ×Contact angle change rate; Where, degradation rate = (original performance of UV coating - current performance of UV coating) / original performance of UV coating × 100%; contact angle change rate = (original contact angle - current contact angle) / original contact angle × 100%; where, W 劣化 is the weight of the degradation rate, W 接触角 is the weight of the contact angle change rate, the default configuration is W 反 =0.25, W 修正 =0.25, W 劣化 =0.25, W 接触角 =0.25, and after actual measurement, the weight is fine-tuned according to the actual situation of the UV coating so that the second evaluation result value is in the range of 0 to 1.

5. The system according to claim 4, characterized in that In the reflection data mapping table, the ratio between the first reflection data and the second reflection data conforms to the ratio range of 2500 to 3174.

6. The system according to claim 5, characterized in that The monitoring probe is externally connected to the lower part of the composite insulator, and a broadcast opening is provided at the lower center of the insulating shell of the monitoring probe; The system further includes: a communicator, wherein the communicator is configured to receive broadcast data including the monitoring data sent by the monitoring probe, obtain the monitoring data of the monitoring probe, and transmit the monitoring data to the processor.

Images