Method and system for evaluating anti-ultraviolet aging performance of composite insulator

Abstract

The invention relates to the technical field of composite insulator evaluation, and particularly discloses a composite insulator anti-ultraviolet aging performance evaluation method and system, and the method comprises the steps: analyzing the ultraviolet environment characteristics of a composite insulator and the offset environment characteristics of the composite insulator, and obtaining the environment characteristic factors of the composite insulator; determining an anti-ultraviolet aging performance evaluation threshold value of the composite insulator, analyzing mechanical aging characteristics and electrical aging characteristics of the composite insulator to obtain aging characteristic signals of the composite insulator, and determining an anti-ultraviolet aging performance evaluation grade of the composite insulator; the problems that a traditional insulator aging evaluation method is limited to appearance and mechanical performance testing, a systematic ultraviolet aging evaluation method is lacked, and the dynamic response capability is insufficient are solved, aging evaluation is more comprehensive and multi-level, the actual use condition of the composite insulator can be reflected more truly, and the method is suitable for popularization and application. And more reliable data support is provided for decision making, and the adaptive capacity to an external complex environment is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of composite insulator evaluation, and specifically to a method and system for evaluating the ultraviolet aging resistance performance of composite insulators. Background Art

[0002] Ultraviolet rays can cause phenomena such as decomposition, cracking, and discoloration on the surface of materials. Its surface layer may show powdering under ultraviolet radiation, resulting in a decrease in hydrophobicity, further affecting the electrical performance of insulators. In the power system, the durability of insulators is related to the safety and stability of transmission lines. These deterioration phenomena will greatly reduce the electrical performance of composite insulators, increasing the risks of corona discharge and electrical breakdown. How to accurately evaluate the aging situation of composite insulators under long-term ultraviolet radiation is a key issue to ensure the safe operation of the power grid. With the continuous development of composite insulation materials, especially the application of new ultraviolet-resistant materials and nanocomposite materials, it provides the possibility to improve the ultraviolet resistance performance of insulators. It is necessary to develop and improve specialized testing methods to meet the aging evaluation requirements of new materials. With the development of detection technologies, the evaluation of ultraviolet aging resistance performance is no longer limited to single physical or chemical detection means, but combines multiple technical means such as scanning electron microscopy (SEM) and dielectric constant testing to comprehensively understand the aging process of materials. For example, scanning electron microscopy can observe the microscopic cracks and powdering on the material surface. By integrating multiple test data, the ultraviolet aging resistance performance of composite insulators can be judged more accurately.

[0003] Nowadays, there are still some deficiencies in the research on the evaluation of the ultraviolet aging resistance performance of composite insulators. Specifically, the traditional insulator aging evaluation methods are often limited to appearance and mechanical performance tests, lacking a systematic ultraviolet aging evaluation method, and it is difficult to accurately reflect the deterioration characteristics of materials under ultraviolet radiation. The dynamic response ability is insufficient, and it is unable to effectively measure the change characteristics of materials under multiple factors, resulting in the aging law of materials in complex environments being difficult to be accurately evaluated and understood. Static evaluation means are difficult to provide a systematic basis for the improvement of materials and cannot accurately predict deterioration. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a method and system for evaluating the ultraviolet aging resistance performance of composite insulators, which can effectively solve the problems involved in the above background art.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect of the present invention, a method for evaluating the anti-ultraviolet aging performance of composite insulators is provided, including the following steps: analyzing the ultraviolet environment characteristics of the composite insulator to obtain an ultraviolet environment constraint signal; analyzing the offset environment characteristics of the composite insulator, and combining the ultraviolet environment constraint signal to obtain a composite insulator environment characteristic factor; based on the composite insulator environment characteristic factor, determining an evaluation threshold for the anti-ultraviolet aging performance of the composite insulator; analyzing the mechanical aging characteristics of the composite insulator to obtain a composite insulator mechanical aging characteristic factor; analyzing the electrical aging characteristics of the composite insulator, and combining the composite insulator mechanical aging characteristic factor to obtain a composite insulator aging characteristic signal; based on the composite insulator aging characteristic signal, and combining the evaluation threshold for the anti-ultraviolet aging performance of the composite insulator, determining the evaluation grade for the anti-ultraviolet aging performance of the composite insulator.

[0006] As a further method, analyzing the ultraviolet environment characteristics of the composite insulator to obtain an ultraviolet environment constraint signal, the specific analysis process is as follows: obtaining a composite insulator ultraviolet environment characteristic data set, and the composite insulator ultraviolet environment characteristic data set specifically includes ultraviolet intensity, ultraviolet wavelength, and the included angle between the ultraviolet irradiation direction and the horizontal plane; based on the obtained composite insulator ultraviolet environment characteristic data set, comprehensively analyzing to obtain an ultraviolet environment constraint signal, and the ultraviolet environment constraint signal is used as an analysis basis for determining the evaluation threshold for the anti-ultraviolet aging performance of the composite insulator.

[0007] As a further method, analyzing the offset environment characteristics of the composite insulator, and combining the ultraviolet environment constraint signal to obtain a composite insulator environment characteristic factor, the specific analysis process is as follows: obtaining a composite insulator offset environment characteristic data set, and the composite insulator offset environment characteristic data set specifically includes the environmental temperature deviation rate, the environmental humidity deviation rate, and the environmental salt spray concentration deviation rate; based on the obtained composite insulator offset environment characteristic data set, combining the ultraviolet environment constraint signal, comprehensively analyzing to obtain a composite insulator environment characteristic factor, and performing an analysis of the environmental severity to determine the environmental severity level, and the composite insulator environment characteristic factor is used as an analysis basis for determining the evaluation threshold for the anti-ultraviolet aging performance of the composite insulator.

[0008] As a further method, the specific analysis process of the composite insulator environment characteristic factor is as follows: ; In the formula, is the composite insulator environment characteristic factor, is the ultraviolet environment constraint signal, is the environmental temperature deviation rate, is the environmental humidity deviation rate, is the environmental salt spray concentration deviation rate, is a set compensation factor is the set compensation factor is the set compensation factor, where e is the natural constant

[0009] As a further method, determine the evaluation threshold for the anti-ultraviolet aging performance of composite insulators. The specific analysis process is as follows: Compare the environmental characteristic factor of the composite insulator with the reference environmental characteristic factor of the composite insulator stored in the database; Denote the difference between the environmental characteristic factor of the composite insulator and the reference environmental characteristic factor of the composite insulator as the environmental characteristic deviation factor of the composite insulator; Store the environmental characteristic deviation factor of the composite insulator as a specified label, and compare this specified label with each set label stored in the database to obtain the set label corresponding to this specified label, and obtain the evaluation threshold for the anti-ultraviolet aging performance of the composite insulator corresponding to this set label stored in the database

[0010] As a further method, analyze the mechanical aging characteristics of the composite insulator to obtain the mechanical aging characteristic factor of the composite insulator. The specific analysis process is as follows: Obtain the mechanical aging characteristic data set of the composite insulator, and the mechanical aging characteristic data set of the composite insulator specifically includes the number of cracks of the composite insulator, the proportion of the corrosion area of the composite insulator, and the proportion of the surface peeling area of the composite insulator; Based on the obtained mechanical aging characteristic data set of the composite insulator, comprehensively analyze to obtain the mechanical aging characteristic factor of the composite insulator, and the mechanical aging characteristic factor of the composite insulator is used as the analysis basis for determining the evaluation grade of the anti-ultraviolet aging performance of the composite insulator

[0011] As a further method, analyze the electrical aging characteristics of the composite insulator and combine the mechanical aging characteristic factor of the composite insulator to obtain the aging characteristic signal of the composite insulator. The specific analysis process is as follows: Obtain the electrical aging characteristic data set of the composite insulator, and the electrical aging characteristic data set of the composite insulator specifically includes the leakage current of the composite insulator, the insulation resistance of the composite insulator, and the dielectric strength of the composite insulator; Based on the obtained electrical aging characteristic data set of the composite insulator, combine the mechanical aging characteristic factor of the composite insulator, and comprehensively analyze to obtain the aging characteristic signal of the composite insulator, and the aging characteristic signal of the composite insulator is used as the analysis basis for determining the evaluation grade of the anti-ultraviolet aging performance of the composite insulator

[0012] As a further method, for the aging characteristic signal of the composite insulator, the specific analysis process is as follows ; In the formula is the aging characteristic signal of the composite insulator is the mechanical aging characteristic factor of the composite insulator is the leakage current of the composite insulator is the insulation resistance of the composite insulator, is the dielectric strength of the composite insulator, is the set compensation factor of, is the set compensation factor of, is the set compensation factor of.

[0013] As a further method, to determine the anti-ultraviolet aging performance evaluation level of the composite insulator, the specific analysis process is as follows: Compare the aging characteristic signal of the composite insulator with the anti-ultraviolet aging performance evaluation threshold of the composite insulator; if the aging characteristic signal of the composite insulator is lower than the anti-ultraviolet aging performance evaluation threshold of the composite insulator, the anti-ultraviolet aging performance evaluation level corresponding to the aging characteristic signal of the composite insulator is level one; if the aging characteristic signal of the composite insulator is not lower than the anti-ultraviolet aging performance evaluation threshold of the composite insulator, then compare the aging characteristic signal of the composite insulator with the second anti-ultraviolet aging performance evaluation threshold stored in the database; if the aging characteristic signal of the composite insulator is lower than the second anti-ultraviolet aging performance evaluation threshold of the composite insulator, the anti-ultraviolet aging performance evaluation level corresponding to the aging characteristic signal of the composite insulator is level two; if the aging characteristic signal of the composite insulator is not lower than the second anti-ultraviolet aging performance evaluation threshold of the composite insulator, the anti-ultraviolet aging performance evaluation level corresponding to the aging characteristic signal of the composite insulator is level three.

[0014] The second aspect of the present invention provides an anti-ultraviolet aging performance evaluation system for a composite insulator, including an ultraviolet constraint signal acquisition module, an environmental characteristic factor determination module, a performance evaluation threshold determination module, a mechanical aging characteristic factor acquisition module, an aging characteristic signal determination module, and an aging performance evaluation level determination module, wherein: The ultraviolet constraint signal acquisition module is used to analyze the ultraviolet environmental characteristics of the composite insulator to obtain an ultraviolet environmental constraint signal; the environmental characteristic factor determination module is used to analyze the offset environmental characteristics of the composite insulator and combine the ultraviolet environmental constraint signal to obtain the environmental characteristic factor of the composite insulator; the performance evaluation threshold determination module is used to determine the anti-ultraviolet aging performance evaluation threshold of the composite insulator based on the environmental characteristic factor of the composite insulator; the mechanical aging characteristic factor acquisition module is used to analyze the mechanical aging characteristics of the composite insulator to obtain the mechanical aging characteristic factor of the composite insulator; the aging characteristic signal determination module is used to analyze the electrical aging characteristics of the composite insulator and combine the mechanical aging characteristic factor of the composite insulator to obtain the aging characteristic signal of the composite insulator; the aging performance evaluation level determination module is used to determine the anti-ultraviolet aging performance evaluation level of the composite insulator based on the aging characteristic signal of the composite insulator and in combination with the anti-ultraviolet aging performance evaluation threshold of the composite insulator.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) By providing a method and system for evaluating the anti-ultraviolet aging performance of composite insulators, through the comprehensive analysis of ultraviolet environment characteristics and offset environment characteristics, the environmental conditions of the composite insulators can be more accurately reflected. The calculation of the ultraviolet environment constraint signal and environmental characteristic factors makes the evaluation more targeted, helps to identify the impact of specific environmental factors on insulator aging, introduces aging characteristics in multiple dimensions such as environment, mechanics, and electricity, makes the aging evaluation model more comprehensive and multi-level, and can more truly reflect the actual usage status of the composite insulators. The multi-dimensional evaluation can provide a more accurate aging state evaluation than a single detection method, provide more reliable data support for decision-making, and enhance the adaptability to the external complex environment.

[0016] (2) By analyzing the electrical aging characteristics of the composite insulators, combining the mechanical aging characteristic factors of the composite insulators and the evaluation threshold of the anti-ultraviolet aging performance of the composite insulators, the evaluation grade of the anti-ultraviolet aging performance of the composite insulators is determined. The electrical aging characteristics and mechanical aging characteristics represent different aging dimensions of the composite insulators, and more comprehensively reflect the overall aging state of the insulators. Especially the monitoring of electrical performance can detect microscopic defects inside and on the surface of the insulating material, making up for the deficiencies of mechanical testing. This multi-dimensional evaluation method more accurately reveals the aging condition, eliminates the interference caused by abnormal fluctuations in a single dimension, improves the scientificity and reliability of the evaluation, dynamically adapts to different aging modes, and enhances the stability and safety of the power system. Description of the Drawings

[0017] The present invention is further described with reference to the drawings, but the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the following drawings.

[0018] Figure 1 It is a schematic flow chart of the method steps of the present invention.

[0019] Figure 2 It is a schematic diagram of the connection of the system modules of the present invention.

[0020] Figure 3 It is a flow chart of the steps for determining the evaluation grade of the anti-ultraviolet aging performance of the composite insulators. Detailed Embodiments

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] Referring to Figure 1 As shown, a method for evaluating the anti-ultraviolet aging performance of a composite insulator according to a first aspect of the present invention includes: analyzing the ultraviolet environment characteristics of the composite insulator to obtain an ultraviolet environment constraint signal.

[0023] The specific analysis process is as follows: Obtain a dataset of the ultraviolet environment characteristics of the composite insulator. The dataset of the ultraviolet environment characteristics of the composite insulator specifically includes ultraviolet intensity, ultraviolet wavelength, and the angle between the ultraviolet irradiation direction and the horizontal plane. Based on the obtained dataset of the ultraviolet environment characteristics of the composite insulator, comprehensively analyze to obtain an ultraviolet environment constraint signal, and the ultraviolet environment constraint signal is used as an analysis basis for determining the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator.

[0024] Ultraviolet intensity represents the ultraviolet radiation energy received per unit area, generally expressed in milliwatts per square centimeter (mW / cm²) or watts per square meter (W / m²), and the ultraviolet intensity is measured by an ultraviolet irradiometer. The ultraviolet wavelength refers to the electromagnetic wave wavelength of ultraviolet rays, usually between 10 and 400 nanometers (nm). Ultraviolet rays can be divided into three bands: UVA (320 - 400 nm), UVB (280 - 320 nm), and UVC (100 - 280 nm) according to the wavelength, and are measured by a spectrometer or an ultraviolet spectrophotometer. The angle between the ultraviolet irradiation direction and the horizontal plane refers to the angle between the ultraviolet radiation incident angle and the horizontal plane, and is measured by a photometer, an inclination sensor, or a solar tracking system.

[0025] The radiation intensity of ultraviolet rays usually varies with different wavelengths. Ultraviolet rays with shorter wavelengths (such as UVB and UVC) generally have higher energy and greater destructiveness to materials. Ultraviolet rays in the UVA wavelength range (320 - 400 nm) have a relatively longer wavelength and lower energy, but due to their strong penetrability, they will act on the surface of the material for a long time, causing the material to age slowly. When the incident angle of different wavelengths of ultraviolet rays changes, the absorption degree by the atmosphere is also different. Especially at a lower incident angle (such as when the sun is close to the horizon), short-wavelength ultraviolet rays (UVB and UVC) may be weakened due to the absorption and scattering of the atmosphere. Ultraviolet rays with UVA wavelengths are less affected by the atmosphere due to their strong penetrability, so the intensity change is relatively small within a large range of incident angles.

[0026] The ultraviolet intensity, wavelength, and incident angle vary in different regions and seasons, and these factors have different impacts on the aging of insulators. By collecting ultraviolet characteristic data in the actual environment and generating a constraint signal, the specific ultraviolet environment where the insulator is located can be more accurately reflected, ensuring that the anti-ultraviolet aging evaluation threshold has good environmental adaptability and pertinence. The ultraviolet intensity, wavelength, and incident angle all directly affect the ultraviolet aging rate. The greater the intensity and the shorter the wavelength, the faster the material tends to age, while the incident angle affects the distribution of ultraviolet light on the surface of the insulator. This helps to more scientifically understand the degradation mechanism of insulators in different ultraviolet environments, thereby accurately setting the evaluation threshold and improving the accuracy of aging evaluation.

[0027] Setting the evaluation threshold using the constraint signal obtained from real environment data can distinguish the aging states of composite insulators in different regions and scenarios, help formulate more targeted maintenance strategies, and dynamically adjust the threshold so that the evaluation system can respond to environmental changes in real time, thereby providing a more realistic anti-aging evaluation result.

[0028] The ultraviolet environment constraint signal, the specific analysis process is as follows: ; In the formula, is the ultraviolet environment constraint signal, is the ultraviolet intensity, is the ultraviolet wavelength, is the angle between the ultraviolet irradiation direction and the horizontal plane, is the set compensation factor, with the unit being the reciprocal of the unit of zq, is the set compensation factor, with the unit being the reciprocal of the unit of bc, is the set compensation factor, with the unit being the reciprocal of the unit of zs.

[0029] It should be noted that the above ultraviolet environment constraint signal is calculated through the ultraviolet intensity, ultraviolet wavelength, and the angle between the ultraviolet irradiation direction and the horizontal plane. The comprehensive calculation of the ultraviolet intensity, wavelength, and incident angle can accurately reflect the ultraviolet radiation environment where the insulator is located. This accurate description of the radiation environment helps to comprehensively understand the actual ultraviolet radiation level received by the material surface, thereby more accurately evaluating its aging risk. Different ultraviolet wavelengths, intensities, and incident angles will have different impacts on the aging speed of composite insulators. The constraint signal obtained by integrating these factors can quantify the impact of ultraviolet rays on the aging of insulators, making the evaluation more scientific and precise. The constraint signal helps to evaluate the impact of ultraviolet rays on the aging rate of composite insulators and improve the effectiveness of maintenance decisions.

[0030] It should be noted that the compensation factors set above , , are obtained from the database. Based on historical data, a mapping set of the ultraviolet intensity, ultraviolet wavelength, angle between the ultraviolet irradiation direction and the horizontal plane in historical measurements and , , compensation factors is established to obtain the corresponding , , compensation factors for the current , , .

[0031] It should be noted that , , , , , , , , in the following text are also obtained through the mapping set of historical data and compensation factors established in the database, that is, the corresponding compensation factors are obtained according to the current data.

[0032] Analyze the offset environmental characteristics of the composite insulator, and combine with the ultraviolet environmental constraint signal to obtain the environmental characteristic factor of the composite insulator.

[0033] The specific analysis process is as follows: Obtain the offset environmental characteristic data set of the composite insulator, which specifically includes the environmental temperature deviation rate, environmental humidity deviation rate, and environmental salt fog concentration deviation rate; Based on the obtained offset environmental characteristic data set of the composite insulator, combine with the ultraviolet environmental constraint signal, comprehensively analyze to obtain the environmental characteristic factor of the composite insulator, and conduct an analysis of the environmental severity to determine the environmental severity level. The environmental characteristic factor of the composite insulator serves as the analysis basis for determining the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator.

[0034] The process of conducting an analysis of the environmental severity to determine the environmental severity level is as follows: Determine the ultraviolet environmental characteristic data set of the composite insulator, the offset environmental characteristic data set of the composite insulator, as well as the atmospheric pollutant concentration, acid rain pH value, and sand and dust particle concentration, and perform standardization processing to obtain standardized data.

[0035] At the same time, according to the convolutional neural network, perform CNN processing on the sand and dust particle image and the insulator surface pollution distribution image, extract spatial features such as particle size distribution and pollution coverage pattern, convert the spatial features into numerical features, and splice them with the standardized data to obtain the environmental input features.

[0036] Input the environmental input features into the trained MLP model to calculate the severity level of the harsh environment in real time. The MLP model will label each sample with a level during the training phase.

[0037] The deviation rate refers to the ratio of the absolute value of the difference between the actual value and the reference value to the reference value. The environmental temperature deviation rate represents the deviation between the current temperature and the reference temperature, which is obtained using a temperature sensor or a temperature recorder. The environmental humidity deviation rate represents the deviation between the current humidity and the reference humidity, which is obtained using a humidity sensor or a humidity recorder. The environmental salt fog concentration deviation rate represents the deviation between the current salt fog concentration and the reference concentration, which is obtained using a salt fog tester or an online salt fog concentration monitoring device.

[0038] Changes in temperature can affect the evaporation and condensation processes of moisture in the air, thereby affecting the humidity level. When the temperature is relatively high, the humidity in the air is usually also high. Especially in a hot and humid environment, high temperature and high humidity will jointly increase the humidity on the material surface and reduce the insulation performance of the insulator. When the humidity is high, it is easier to form a water film on the material surface. This water film will accelerate the evaporation and condensation cycle process at high temperatures, intensify the stress of the material, and lead to material aging and structural deterioration. High humidity will increase the solubility of salt fog in the air, making it easier for salt fog to adhere to the surface of the insulator, form a conductive path, reduce the electrical insulation performance of the material, and cause electrical aging. The increase in the humidity deviation rate, especially in a high salt fog environment, will accelerate the corrosion effect of salt fog.

[0039] Deviations in temperature, humidity, and salt fog concentration will directly or indirectly accelerate the aging of the insulator. Environmental temperature and humidity will affect the physical properties and surface electrical properties of the material, while the salt fog concentration may cause material corrosion. By combining these offset environmental feature data with the ultraviolet environmental constraint signal, the true environmental characteristics of the insulator can be more comprehensively reflected, and the accuracy of the anti-ultraviolet aging performance assessment can be improved. Different offset environmental characteristics will result in different deterioration rates of the insulator under the action of ultraviolet rays.

[0040] By comprehensively analyzing the influence of various factors through the environmental feature factor, it is possible to more scientifically determine the evaluation threshold suitable for this environment, thereby avoiding misjudgments that may be caused by the threshold set by a single ultraviolet factor, making the evaluation result closer to the actual situation. The offset environmental feature dataset can reflect the dynamic changes in the environment. By combining these dynamic data, the environmental feature factor can be dynamically adjusted according to the real-time environmental changes, thereby updating the evaluation threshold in real time, making the evaluation system more sensitive and effective in responding to environmental changes.

[0041] Furthermore, for the environmental feature factor of the composite insulator, the specific analysis process is as follows: ; In the formula, is the environmental characteristic factor of the composite insulator, is the environmental temperature deviation rate, unitless, is the environmental humidity deviation rate, unitless, is the environmental salt fog concentration deviation rate, unitless, is the set compensation factor, is the set compensation factor, is the set compensation factor, where e is the natural constant.

[0042] It should be noted that the above environmental characteristic factor of the composite insulator is calculated through the environmental temperature deviation rate, environmental humidity deviation rate, environmental salt fog concentration deviation rate and ultraviolet environmental constraint signal. Temperature, humidity, salt fog concentration and ultraviolet act on the composite insulator together and affect its aging process. The environmental characteristic factor integrates these variables into a comprehensive index, more accurately describes the environmental pressure of the insulator, makes the evaluation model more comprehensive, and the interaction of environmental temperature, humidity, salt fog and ultraviolet will accelerate the aging of the insulator. For example, high temperature and high humidity will increase the aging rate of the material, and the corrosive components in the salt fog will further damage the material structure. Through the environmental characteristic factor, the synergistic effect of these multi-factors is quantified, more precisely reflecting the severity of the aging environment. The environmental characteristic factor transforms the key environmental factors into a unified index, providing a scientific basis for evaluating the anti-aging performance of the composite insulator.

[0043] Based on the environmental characteristic factor of the composite insulator, determine the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator.

[0044] The specific analysis process is as follows: Compare the environmental characteristic factor of the composite insulator with the reference factor of the environmental characteristics of the composite insulator stored in the database; Denote the difference between the environmental characteristic factor of the composite insulator and the reference factor of the environmental characteristics of the composite insulator as the environmental characteristic deviation factor of the composite insulator; Store the environmental characteristic deviation factor of the composite insulator as a specified label, compare this specified label with each set label stored in the database, obtain the set label corresponding to this specified label, and obtain the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator corresponding to this set label stored in the database.

[0045] By comparing the environmental characteristic factor and the reference factor, the deviation degree of the environment where the composite insulator is located can be accurately quantified. The deviation factor can help more precisely reflect the actual impact of the current environmental conditions on the aging of the insulator, thereby determining a more accurate evaluation threshold for the anti-ultraviolet aging performance and improving the accuracy and reliability of the evaluation. Different environments (such as humidity, salt fog concentration, etc.) have different effects on the aging of the insulator. Through the reference factors stored in the database, the aging characteristics under specific regions or conditions can be quickly matched and adapted.

[0046] By comparing the specified tags with the database tags, the corresponding evaluation threshold is automatically obtained, enabling the system to flexibly adapt to various complex environments. The environmental characteristic factors of composite insulators change with time and environmental conditions. Regular updates and comparisons with reference factors generate deviation factors, which help dynamically adjust the evaluation threshold, enabling the evaluation results to respond in real time to environmental fluctuations, maintain accuracy, and avoid over-reliance on static evaluation data.

[0047] Analyze the mechanical aging characteristics of composite insulators to obtain the mechanical aging characteristic factors of composite insulators.

[0048] The specific analysis process is as follows: Obtain the mechanical aging characteristic dataset of composite insulators. The mechanical aging characteristic dataset of composite insulators specifically includes the number of cracks in the composite insulator, the proportion of the corroded area of the composite insulator, and the proportion of the peeled area on the surface of the composite insulator. Based on the obtained mechanical aging characteristic dataset of composite insulators, comprehensively analyze to obtain the mechanical aging characteristic factors of composite insulators. The mechanical aging characteristic factors of composite insulators serve as the analysis basis for determining the evaluation grade of the anti-ultraviolet aging performance of composite insulators.

[0049] The number of cracks in a composite insulator refers to the number of cracks on the surface or inside the material, which is detected using a high-resolution microscope, an infrared imager, or an ultrasonic flaw detector. The proportion of the corroded area of a composite insulator refers to the proportion of the surface area affected by corrosion to the total surface area, which is detected using a high-resolution imaging device and image processing software or a scanning electron microscope. The proportion of the peeled area on the surface of a composite insulator refers to the proportion of the peeled area to the total surface area, which is detected using a high-definition camera device, an image analysis system, a 3D laser scanner, or X-ray tomography.

[0050] The generation of cracks provides a channel for corrosive substances (such as salt spray, acid rain, etc.) to penetrate into the material interior, thereby accelerating the corrosion process. When the number of cracks increases, more tiny pores are exposed on the material surface, making it easier for corrosive media to penetrate deeper into the material interior, resulting in an enlarged corroded area. When a large number of cracks appear on the surface of a composite insulator, these cracks cause the material to lose adhesion locally, thereby increasing the possibility of peeling. The extension of cracks weakens the structural integrity of the material, causing the surface layer to gradually peel off, forming a peeling phenomenon. Corrosion gradually destroys the strength and structural integrity of the material surface layer, making the surface more prone to peeling. As the corroded area expands, the adhesion of the surface material weakens, resulting in an increase in the proportion of the peeled area. Therefore, areas with a larger corroded area are more likely to experience surface peeling.

[0051] Mechanical characteristics such as the number of cracks, the area of corrosion, and the area of surface peeling directly reflect the structural damage of composite insulators. By integrating these data to obtain the mechanical aging characteristic factor, the aging state of the insulator under the action of ultraviolet rays and other environmental factors can be more comprehensively described, providing an important basis for evaluating its overall health status. The mechanical aging characteristic factor can effectively reflect the degree of damage to the material under long-term ultraviolet radiation. For example, the increase in cracks and the expansion of the corrosion area will accelerate the degradation of the insulator's performance. Integrating these factors into the mechanical aging characteristic factor can accurately evaluate the impact of mechanical aging on the insulator's performance and ensure that the evaluation level conforms to the actual situation.

[0052] By analyzing the mechanical characteristic data, the aging state of the insulator can be more accurately divided into different stages. For example, slight surface peeling may indicate early aging, while a large number of cracks and corrosion may indicate severe aging. Based on the characteristic factors of different aging stages, reasonable grading criteria can be set for the evaluation level, making the evaluation more practical.

[0053] The mechanical aging characteristic factor of composite insulators, the specific analysis process is as follows: ; In the formula, is the mechanical aging characteristic factor of the composite insulator, is the number of cracks of the composite insulator, without unit, is the proportion of the corrosion area of the composite insulator, without unit, is the proportion of the surface peeling area of the composite insulator, without unit, is the set compensation factor, is the set compensation factor, is the set compensation factor.

[0054] It should be noted that the above-mentioned mechanical aging characteristic factor of the composite insulator is calculated through the number of cracks in the composite insulator, the proportion of the corrosion area of the composite insulator, and the proportion of the surface peeling area of the composite insulator. The mechanical aging characteristic factor quantifies these physical damage characteristics such as cracks, corrosion, and peeling into a comprehensive index, which can more intuitively and clearly reflect the overall mechanical aging state of the composite insulator. Compared with analyzing each damage characteristic separately, this comprehensive factor can more accurately describe the degree of aging. The manifestation forms and rates of cracks, corrosion, and peeling vary in different environments. For example, corrosion accelerates in a high salt fog environment, and peeling intensifies in a high temperature environment. The mechanical aging characteristic factor can flexibly reflect various aging modes in different environments, making the evaluation method more adaptable. By promptly discovering and dealing with insulators with severe mechanical damage and preventing their continuous deterioration, the mechanical aging characteristic factor helps to extend the service life of the insulators. This can reduce the equipment replacement frequency, lower the maintenance and replacement costs, and improve the resource utilization efficiency.

[0055] Analyze the electrical aging characteristics of the composite insulator, and combine with the mechanical aging characteristic factor of the composite insulator to obtain the aging characteristic signal of the composite insulator.

[0056] The specific analysis process is as follows: Obtain the electrical aging characteristic dataset of the composite insulator. The electrical aging characteristic dataset of the composite insulator specifically includes the leakage current of the composite insulator, the insulation resistance of the composite insulator, and the dielectric strength of the composite insulator. Based on the obtained electrical aging characteristic dataset of the composite insulator, combine with the mechanical aging characteristic factor of the composite insulator, and comprehensively analyze to obtain the aging characteristic signal of the composite insulator. The aging characteristic signal of the composite insulator is used as the analysis basis for determining the evaluation grade of the anti-ultraviolet aging performance of the composite insulator.

[0057] The leakage current refers to the tiny current flowing on the surface or inside of the insulator, which is usually detected by a leakage current tester or a high-precision microammeter. The insulation resistance refers to the impedance ability of the insulator to current. The higher the value, the better the insulation performance, which is usually detected by an insulation resistance tester (megohmmeter). The dielectric strength refers to the maximum electric field strength that the insulating material can withstand, expressed in kV / mm, which is usually measured by a dielectric strength tester or a withstand voltage tester.

[0058] There is an inverse relationship between leakage current and insulation resistance. The higher the insulation resistance, the greater the impedance of the material to current, and the smaller the leakage current; conversely, the lower the insulation resistance, the smaller the impedance of the material to current, and the larger the leakage current. Materials with high insulation resistance usually also have high dielectric strength. High insulation resistance indicates that the material structure is stable and the conductivity is low. Therefore, the material can maintain insulation performance under a higher electric field strength and is not prone to breakdown. An increase in leakage current will increase the local current density within the material, resulting in local heating inside the material and accelerating degradation. This degradation will cause a decrease in the dielectric strength of the material and make it more prone to breakdown faults. Therefore, an increase in leakage current indirectly reduces the dielectric strength of the material.

[0059] Electrical characteristics such as leakage current, insulation resistance, and dielectric strength can directly reflect the degradation of insulators under the action of an electric field, while mechanical characteristics such as cracks and corrosion reveal physical damage to the material. Combining the analysis of electrical and mechanical characteristics can more comprehensively reflect the aging state of insulators and ensure the accuracy and integrity of the assessment. Electrical characteristics can sensitively capture early signals of performance changes during the aging process. For example, as the material ages, the leakage current often increases, and the insulation resistance and dielectric strength decrease.

[0060] By real-time monitoring of changes in electrical characteristics, the aging characteristic signal can dynamically reflect the aging process and provide a timely and accurate basis for the assessment level. The aging characteristic signal generated by combining electrical and mechanical characteristics can eliminate the influence of abnormal fluctuations in single characteristics and avoid deviation of the assessment results. Electrical aging characteristics directly affect the safety of insulators. For example, an increase in leakage current may cause a short circuit, and a decrease in dielectric strength will increase the breakdown risk. Through accurate aging assessment signals, high-risk aging problems can be discovered and processed in a timely manner, reducing the possibility of insulator failure and improving the safety and stability of the power grid system.

[0061] Furthermore, for the aging characteristic signal of composite insulators, the specific analysis process is as follows: ; In the formula, is the aging characteristic signal of the composite insulator, is the leakage current of the composite insulator, is the insulation resistance of the composite insulator, is the dielectric strength of the composite insulator, is the set compensation factor, with the unit being the reciprocal of the unit of xl, is the set compensation factor, with the unit being the reciprocal of the unit of jz, is the set compensation factor, with the unit being the reciprocal of the unit of jd.

[0062] It should be noted that the above aging characteristic signals of the composite insulator are calculated from the leakage current, insulation resistance, dielectric strength of the composite insulator, and the mechanical aging characteristic factor of the composite insulator. The aging characteristic signals integrate electrical characteristics (leakage current, insulation resistance, dielectric strength) and mechanical characteristics (mechanical aging characteristic factor), providing a comprehensive aging assessment of the composite insulator. This comprehensive analysis can more accurately reflect the overall aging condition of the insulator under environmental stress, mechanical load, and electrical load. Electrical characteristics such as leakage current, insulation resistance, and dielectric strength reflect the electrical aging mechanism, while the mechanical aging characteristic factor reveals physical aging and environmental damage. Through the comprehensive calculation of the aging characteristic signals, the influence of multiple aging mechanisms can be identified simultaneously, enabling a more precise analysis of the deterioration process and causes of the composite insulator. The electrical and mechanical aging characteristics change dynamically with time and environment. The aging characteristic signals can be updated in real time to provide the aging status of the composite insulator at different time points. Based on the change trend of the aging characteristic signals, a hierarchical maintenance strategy can be formulated for the composite insulator.

[0063] After determining the aging characteristic signals of the composite insulator, the anti-aging performance of the insulator can be evaluated based on the level of environmental severity to obtain the anti-aging ability value. The specific process is as follows: Statistical analysis is carried out according to the usage of historical insulators to form a classification set of insulator model - usage duration. Specifically, it is first divided according to the insulator model, and then divided according to the usage duration to form a data set. Then, cluster analysis is performed on the usage environment (ultraviolet environment characteristic data set of the composite insulator, offset environment characteristic data set of the composite insulator, atmospheric pollutant concentration, acid rain pH value, sand and dust particle concentration) of the historical insulators in each data set to determine the environmental cluster center.

[0064] The usage environment in the environmental cluster center is averaged to form the homogenized usage environment parameters. Then, the trained MLP model is used to evaluate the level of the homogenized usage environment parameters to determine the level of environmental severity, thereby obtaining the level of environmental severity corresponding to each homogenized usage environment parameter.

[0065] Then, the aging characteristics of the historical insulators in each environmental cluster center are collected to determine the electrical aging characteristic data set of the composite insulator and the mechanical aging characteristic data set of the composite insulator. The trained support vector machine model is used to process the electrical aging characteristic data set of the composite insulator and the mechanical aging characteristic data set of the composite insulator to obtain the aging risk level, and they are corresponded one by one to form a mapping relationship between the homogenized usage environment parameters and the aging risk level. The larger the value of the aging risk level, the more serious the aging.

[0066] Determine the model and service life of the current insulator, as well as the datasets of the ultraviolet environment characteristics, offset environment characteristics of the composite insulator, atmospheric pollutant concentration, acid rain pH value, and sand and dust particle concentration of the composite insulator. Determine the corresponding homogenized service environment parameters through similarity matching, so as to determine the corresponding aging risk level.

[0067] Then process the electrical aging characteristic dataset and mechanical aging characteristic dataset of the composite insulator of the current insulator through a support vector machine model to obtain the aging risk level of the current insulator, and take the difference between the two to obtain the anti-aging ability value.

[0068] Based on the aging characteristic signal of the composite insulator, combined with the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, determine the evaluation grade of the anti-ultraviolet aging performance of the composite insulator.

[0069] As Figure 3 shown, the specific analysis process is as follows: Compare the aging characteristic signal of the composite insulator with the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator; if the aging characteristic signal of the composite insulator is lower than the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, the evaluation grade of the anti-ultraviolet aging performance of the composite insulator corresponding to the aging characteristic signal is grade one; if the aging characteristic signal of the composite insulator is not lower than the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, then compare the aging characteristic signal of the composite insulator with the second evaluation threshold of the anti-ultraviolet aging performance of the composite insulator stored in the database; if the aging characteristic signal of the composite insulator is lower than the second evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, the evaluation grade of the anti-ultraviolet aging performance of the composite insulator corresponding to the aging characteristic signal is grade two; if the aging characteristic signal of the composite insulator is not lower than the second evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, the evaluation grade of the anti-ultraviolet aging performance of the composite insulator corresponding to the aging characteristic signal is grade three.

[0070] By setting multiple thresholds, each level has clear index boundaries, which helps the operation and maintenance personnel quickly judge the aging state of the composite insulator. The grading standard is clear and simple, easy to understand and implement, reduces subjectivity in evaluation and decision-making, improves the standardization of operations. Through the setting of grading thresholds, the state of the composite insulator can be divided into different risk levels. Grade three indicates a better state, and grade one indicates serious aging. The grading system is convenient for clarifying the health status of the insulator, helping the operation and maintenance team allocate resources more targeted and prioritize the processing of equipment with higher risks, so as to effectively control the overall risk.

[0071] Based on the grading evaluation results, corresponding maintenance strategies can be formulated for composite insulators in different states. For example, equipment at level three may not require additional maintenance, equipment at level two is recommended for regular monitoring, while equipment at level one needs to be repaired or replaced as soon as possible. The hierarchical evaluation results provide a scientific basis for operation and maintenance decisions and optimize maintenance management. An accurate grading system can avoid over-maintenance of composite insulators in good condition and reduce unnecessary inspections or replacements.

[0072] In a specific embodiment, the ultraviolet intensity is 300 mW / cm², the ultraviolet wavelength is 280 nm, the angle between the ultraviolet irradiation direction and the horizontal plane is 45°, the compensation factor for ultraviolet intensity is 1.2, the compensation factor for ultraviolet wavelength is 0.9, and the compensation factor for the angle between the ultraviolet irradiation direction and the horizontal plane is 1.1. The ultraviolet environment constraint signal is calculated to be 378.58.

[0073] The ambient temperature deviation rate is 0.2, the ambient humidity deviation rate is 0.15, the ambient salt fog concentration deviation rate is 0.3, the compensation factor for the ambient temperature deviation rate is 1.0, the compensation factor for the ambient humidity deviation rate is 1.2, and the compensation factor for the ambient salt fog concentration deviation rate is 1.3. The environmental characteristic factor of the composite insulator is calculated to be 385.175, and the evaluation threshold for the anti-ultraviolet aging performance of the composite insulator is determined to be 14.

[0074] The number of cracks in the composite insulator is 5, the proportion of the corroded area of the composite insulator is 0.02, the proportion of the peeled area on the surface of the composite insulator is 0.01, the compensation factor for the number of cracks in the composite insulator is 1.1, the compensation factor for the proportion of the corroded area of the composite insulator is 1.05, and the compensation factor for the proportion of the peeled area on the surface of the composite insulator is 1.2. The mechanical aging characteristic factor of the composite insulator is calculated to be 3.569.

[0075] The leakage current of the composite insulator is 10 μA, the insulation resistance of the composite insulator is 200 MΩ, the dielectric strength of the composite insulator is 20 kV / mm, the compensation factor for the leakage current of the composite insulator is 1.0, the compensation factor for the insulation resistance of the composite insulator is 1.1, and the compensation factor for the dielectric strength of the composite insulator is 0.95. The aging characteristic signal of the composite insulator is calculated to be 14.75, which is not lower than the evaluation threshold of 14 for the anti-ultraviolet aging performance of the composite insulator. Then, the aging characteristic signal of the composite insulator is compared with the second evaluation threshold of 15 for the anti-ultraviolet aging performance of the composite insulator stored in the database. Since it is lower than the second evaluation threshold for the anti-ultraviolet aging performance of the composite insulator, the evaluation grade of the anti-ultraviolet aging performance of the composite insulator corresponding to the aging characteristic signal of the composite insulator is level two.

[0076] Refer to Figure 2As shown in the figure, the second aspect of the present invention provides a system for evaluating the anti-ultraviolet aging performance of composite insulators, including an ultraviolet constraint signal acquisition module, an environmental characteristic factor determination module, a performance evaluation threshold determination module, a mechanical aging characteristic factor acquisition module, an aging characteristic signal determination module, and an aging performance evaluation level determination module.

[0077] The ultraviolet constraint signal acquisition module is used to analyze the ultraviolet environmental characteristics of the composite insulator to obtain an ultraviolet environmental constraint signal.

[0078] The environmental characteristic factor determination module is used to analyze the offset environmental characteristics of the composite insulator and combine the ultraviolet environmental constraint signal to obtain the environmental characteristic factor of the composite insulator.

[0079] The performance evaluation threshold determination module is used to determine the anti-ultraviolet aging performance evaluation threshold of the composite insulator based on the environmental characteristic factor of the composite insulator.

[0080] The mechanical aging characteristic factor acquisition module is used to analyze the mechanical aging characteristics of the composite insulator to obtain the mechanical aging characteristic factor of the composite insulator.

[0081] The aging characteristic signal determination module is used to analyze the electrical aging characteristics of the composite insulator and combine the mechanical aging characteristic factor of the composite insulator to obtain the aging characteristic signal of the composite insulator.

[0082] The aging performance evaluation level determination module is used to determine the anti-ultraviolet aging performance evaluation level of the composite insulator based on the aging characteristic signal of the composite insulator and in combination with the anti-ultraviolet aging performance evaluation threshold of the composite insulator.

[0083] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should fall within the protection scope of the present invention.

Claims

1. A method for evaluating the anti-ultraviolet aging performance of a composite insulator, characterized in that, Including the following steps: Analyze the ultraviolet environment characteristics of the composite insulator to obtain an ultraviolet environment constraint signal; Analyze the offset environment characteristics of the composite insulator, and combine with the ultraviolet environment constraint signal to obtain a composite insulator environment characteristic factor; Based on the composite insulator environment characteristic factor, determine the evaluation threshold for the ultraviolet aging resistance performance of the composite insulator; Analyze the mechanical aging characteristics of the composite insulator to obtain a composite insulator mechanical aging characteristic factor; Analyze the electrical aging characteristics of the composite insulator, and combine with the composite insulator mechanical aging characteristic factor to obtain a composite insulator aging characteristic signal; Based on the composite insulator aging characteristic signal, and combine with the evaluation threshold for the ultraviolet aging resistance performance of the composite insulator, determine the evaluation grade for the ultraviolet aging resistance performance of the composite insulator.

2. The method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 1, wherein: The process of analyzing the ultraviolet environment characteristics of the composite insulator to obtain an ultraviolet environment constraint signal is specifically as follows: Obtain a composite insulator ultraviolet environment characteristic data set, which specifically includes ultraviolet intensity, ultraviolet wavelength, and the included angle between the ultraviolet irradiation direction and the horizontal plane; Based on the obtained composite insulator ultraviolet environment characteristic data set, comprehensively analyze to obtain an ultraviolet environment constraint signal, and the ultraviolet environment constraint signal is used as the analysis basis for determining the evaluation threshold for the ultraviolet aging resistance performance of the composite insulator.

3. A method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 1, characterized in that: The process of analyzing the offset environment characteristics of the composite insulator, and combining with the ultraviolet environment constraint signal to obtain a composite insulator environment characteristic factor is specifically as follows: Obtain a composite insulator offset environment characteristic data set, which specifically includes environmental temperature deviation rate, environmental humidity deviation rate, and environmental salt fog concentration deviation rate; Based on the obtained composite insulator offset environment characteristic data set, combine with the ultraviolet environment constraint signal, comprehensively analyze to obtain a composite insulator environment characteristic factor, and conduct an analysis of the environmental severity to determine the environmental severity level. The composite insulator environment characteristic factor is used as the analysis basis for determining the evaluation threshold for the ultraviolet aging resistance performance of the composite insulator.

4. The method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 3, wherein: The specific analysis process of the composite insulator environment characteristic factor is as follows: ； Wherein, is the environmental characteristic factor of the composite insulator, is the ultraviolet environmental constraint signal, is the environmental temperature deviation rate, is the environmental humidity deviation rate, is the environmental salt fog concentration deviation rate, is the set compensation factor, is the set compensation factor, is the set compensation factor, and e is the natural constant.

5. The method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 1, wherein: The specific analysis process of determining the evaluation threshold for the ultraviolet aging resistance performance of the composite insulator is as follows: Compare the composite insulator environment characteristic factor with the composite insulator environment characteristic reference factor stored in the database; Record the difference between the composite insulator environment characteristic factor and the composite insulator environment characteristic reference factor as the composite insulator environment characteristic deviation factor; Store the composite insulator environment characteristic deviation factor as a specified label, compare this specified label with each set label stored in the database to obtain the set label corresponding to this specified label, and obtain the evaluation threshold for the ultraviolet aging resistance performance of the composite insulator corresponding to this set label stored in the database.

6. The method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 1, characterized in that: The process of analyzing the mechanical aging characteristics of the composite insulator to obtain a composite insulator mechanical aging characteristic factor is specifically as follows: Obtain a composite insulator mechanical aging characteristic data set, which specifically includes the number of cracks of the composite insulator, the proportion of the corrosion area of the composite insulator, and the proportion of the surface peeling area of the composite insulator; Based on the obtained dataset of the mechanical aging characteristics of composite insulators, the mechanical aging characteristic factors of composite insulators are comprehensively analyzed, and the mechanical aging characteristic factors of composite insulators are used as the analysis basis for determining the evaluation grade of the anti-ultraviolet aging performance of composite insulators.

7. The method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 1, characterized in that: The electrical aging characteristics of composite insulators are analyzed, and combined with the mechanical aging characteristic factors of composite insulators, the aging characteristic signals of composite insulators are obtained. The specific analysis process is as follows: Obtain the dataset of the electrical aging characteristics of composite insulators. The dataset of the electrical aging characteristics of composite insulators specifically includes the leakage current of composite insulators, the insulation resistance of composite insulators, and the dielectric strength of composite insulators. Based on the obtained dataset of the electrical aging characteristics of composite insulators, combined with the mechanical aging characteristic factors of composite insulators, the aging characteristic signals of composite insulators are comprehensively analyzed, and the aging characteristic signals of composite insulators are used as the analysis basis for determining the evaluation grade of the anti-ultraviolet aging performance of composite insulators.

8. A method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 7, characterized in that: The specific analysis process of the aging characteristic signals of the composite insulators is as follows: ； Wherein, is the aging characteristic signal of the composite insulator, is the mechanical aging characteristic factor of the composite insulator, is the leakage current of the composite insulator, is the insulation resistance of the composite insulator, is the dielectric strength of the composite insulator, is the set compensation factor, is the set compensation factor, is the set compensation factor.

9. The method for evaluating the anti-ultraviolet aging performance of a composite insulator according to claim 1, characterized in that: The specific analysis process of determining the evaluation grade of the anti-ultraviolet aging performance of composite insulators is as follows: Compare the aging characteristic signals of composite insulators with the evaluation threshold of the anti-ultraviolet aging performance of composite insulators. If the aging characteristic signal of the composite insulator is lower than the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, the evaluation grade of the anti-ultraviolet aging performance of the composite insulator corresponding to the aging characteristic signal is grade one. If the aging characteristic signal of the composite insulator is not lower than the evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, then compare the aging characteristic signal of the composite insulator with the second evaluation threshold of the anti-ultraviolet aging performance of the composite insulator stored in the database. If the aging characteristic signal of the composite insulator is lower than the second evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, the evaluation grade of the anti-ultraviolet aging performance of the composite insulator corresponding to the aging characteristic signal is grade two. If the aging characteristic signal of the composite insulator is not lower than the second evaluation threshold of the anti-ultraviolet aging performance of the composite insulator, the evaluation grade of the anti-ultraviolet aging performance of the composite insulator corresponding to the aging characteristic signal is grade three.

10. A composite insulator anti-ultraviolet aging performance evaluation system, applied to the anti-ultraviolet aging performance evaluation method of a composite insulator according to any one of claims 1-9, characterized in that: It includes an ultraviolet constraint signal acquisition module, an environmental characteristic factor determination module, a performance evaluation threshold determination module, a mechanical aging characteristic factor acquisition module, an aging characteristic signal determination module, and an aging performance evaluation grade determination module, where: The ultraviolet constraint signal acquisition module is used to analyze the ultraviolet environmental characteristics of composite insulators to obtain ultraviolet environmental constraint signals. The environmental characteristic factor determination module is used to analyze the offset environmental characteristics of composite insulators and combine the ultraviolet environmental constraint signals to obtain the environmental characteristic factors of composite insulators. The performance evaluation threshold determination module is used to determine the evaluation threshold of the anti-ultraviolet aging performance of composite insulators based on the environmental characteristic factors of composite insulators. The mechanical aging characteristic factor acquisition module is used to analyze the mechanical aging characteristics of composite insulators to obtain the mechanical aging characteristic factors of composite insulators. The aging characteristic signal determination module is used to analyze the electrical aging characteristics of composite insulators and obtain the aging characteristic signals of composite insulators by combining the mechanical aging characteristic factors of composite insulators; The aging performance evaluation level determination module is used to determine the anti-ultraviolet aging performance evaluation level of composite insulators based on the aging characteristic signals of composite insulators and in combination with the anti-ultraviolet aging performance evaluation threshold of composite insulators.

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