A method, system, device and medium for comprehensive evaluation of wear resistance and self-healing of an outer insulation super-hydrophobic coating of a power transmission line

Abstract

The application discloses a kind of transmission line outer insulation super-hydrophobic coating wear-resistant self-healing comprehensive evaluation method, system, equipment and medium, method includes obtaining the initial static contact angle of anti-pollution flashover coating;Mechanical wear load is applied to anti-pollution flashover coating, and wear static contact angle is measured, and damage rate constant is extracted by the evolution relationship of initial static contact angle and wear static contact angle;Obtain healing balance contact angle, and determine self-healing degree based on healing balance contact angle, initial static contact angle and wear static contact angle;Combining damage rate constant, healing balance contact angle and equivalent salt density determines flashover voltage prediction value;Fusion initial static contact angle, wear static contact angle, self-healing degree and flashover voltage prediction value, and the comprehensive performance evaluation value is calculated.The application considers the mechanical damage of anti-pollution flashover coating and self-repair as a complete dynamic evolution cycle and is evaluated, and the drawbacks that traditional evaluation is separated from real service performance are eliminated.

Description

Technical Field

[0001] This invention relates to the field of performance evaluation technology for anti-flashover coatings, and in particular to a comprehensive evaluation method, system, equipment, and medium for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines. Background Technology

[0002] With the expansion of power grids, the operational reliability of external insulation equipment on transmission lines is crucial to the safety of power systems. To prevent insulator flashover accidents caused by pollution in complex outdoor natural environments, most equipment is now coated with a superhydrophobic anti-flashover coating. The micro-nano structure on its surface can effectively prevent the formation of a continuous water film, thereby ensuring the stable operation of the line.

[0003] However, anti-flashover coatings inevitably suffer performance degradation due to mechanical wear from wind and sand during long-term outdoor service. Existing coating evaluation methods often only focus on static measurements of the initial contact angle or a single abrasion resistance test, severely neglecting the dynamic self-healing characteristics of modern high-quality anti-flashover coatings after damage. This evaluation method, which separates mechanical damage from the self-healing process, cannot truly reflect the dynamic evolution trajectory of the microscopic hydrophobic properties of anti-flashover coatings. Consequently, existing evaluation systems struggle to effectively map the surface state of anti-flashover coatings to their macroscopic electrical insulation capabilities under actual polluted environments. This results in evaluation results that are detached from real-world engineering performance, failing to provide accurate quantitative grading guidance for coating selection and life prediction in transmission lines. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a comprehensive evaluation method, system, equipment, and medium for the wear resistance and self-healing properties of superhydrophobic coatings for external insulation of transmission lines. This addresses the problem that existing coating evaluation methods neglect the dynamic self-healing characteristics of modern high-quality anti-flashover coatings after damage, and still evaluate mechanical damage and the self-healing process separately, resulting in final evaluation results that deviate from actual engineering service performance.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a comprehensive evaluation method for the wear resistance and self-healing properties of a superhydrophobic coating for external insulation of transmission lines, comprising: obtaining the initial static contact angle of the anti-flashover coating; applying a mechanical wear load to the anti-flashover coating, measuring the wear static contact angle, and extracting a damage rate constant through the evolution relationship between the initial static contact angle and the wear static contact angle; performing self-healing treatment on the worn anti-flashover coating to obtain a healing equilibrium contact angle, and determining the degree of self-healing based on the healing equilibrium contact angle, the initial static contact angle, and the wear static contact angle; obtaining the equivalent salt deposition density of the target application environment, and determining a flashover voltage prediction value by combining the damage rate constant, the healing equilibrium contact angle, and the equivalent salt deposition density; integrating the initial static contact angle, the wear static contact angle, the degree of self-healing, and the flashover voltage prediction value to calculate a comprehensive performance evaluation value, and comparing the comprehensive performance evaluation value with a preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating.

[0007] As a preferred embodiment of the comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines according to the present invention, the step of extracting the damage rate constant through the evolution relationship between the initial static contact angle and the wear static contact angle includes: contacting the surface of the anti-flashover coating with a wear medium of a preset mesh size, and controlling the wear medium to reciprocate at a preset speed and stroke under the condition of applying constant positive pressure, marking a single reciprocating friction as a wear cycle; obtaining the wear static contact angle corresponding to different wear cycle numbers during the application of mechanical wear load; constructing an attenuation evolution model with the wear cycle number as the independent variable and the wear static contact angle as the dependent variable, and solving the attenuation rate characterization parameter in the attenuation evolution model as the damage rate constant through nonlinear fitting.

[0008] The beneficial effects of this preferred technical solution are as follows: by standardizing the contact state of the wear medium and the motion parameters of reciprocating friction, the application boundary of mechanical wear load is unified, and the interference of external force fluctuations on the degree of damage to the surface of the anti-flashover coating is eliminated. This allows the static contact angle of wear obtained under different wear cycles to truly reflect the law that the hydrophobic performance of the anti-flashover coating decreases with the accumulation of friction. Then, the discrete test data with this decreasing law is substituted into the attenuation evolution model as independent and dependent variables. The physical degradation process of the anti-flashover coating surface is transformed into a mathematical expression using a nonlinear fitting algorithm, thereby solving for the damage rate constant that can quantitatively characterize the wear resistance of the coating.

[0009] As a preferred embodiment of the comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines according to the present invention, the step of determining the self-healing degree based on the healing equilibrium contact angle, the initial static contact angle, and the wear static contact angle includes: placing the anti-flashover coating after mechanical wear in a constant temperature and humidity environment for a preset time, and measuring the healing equilibrium contact angle of the anti-flashover coating; using the difference between the healing equilibrium contact angle and the wear static contact angle as the performance recovery amount, and simultaneously calculating the difference between the initial static contact angle and the wear static contact angle to obtain the total performance loss amount; and determining the ratio of the performance recovery amount to the total performance loss amount as the self-healing degree.

[0010] The beneficial effects of this preferred technical solution are as follows: by placing the anti-flashover coating that has undergone mechanical wear in a constant temperature and humidity environment, the interference of external climate variables on the recovery process of the micro-nano structure on the surface of the anti-flashover coating is eliminated, thereby obtaining the healing equilibrium contact angle that characterizes the stable repair state of the anti-flashover coating. Then, by using the difference between the healing equilibrium contact angle and the wear static contact angle, and the initial static contact angle and the wear static contact angle, the geometric value of the contact angle is converted into the performance recovery amount and the total performance loss amount with clear physical meaning. Furthermore, by solving the ratio of the two, the evaluation bias caused by the initial hydrophobic state of different anti-flashover coatings is eliminated, thereby quantifying the self-repair capability of the anti-flashover coating after damage into a unified and objective self-healing degree.

[0011] As a preferred embodiment of the comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines according to the present invention, the step of setting a performance grading threshold includes: obtaining the contact angle retention rate and flashover voltage drop rate of reference coating samples, and dividing the reference coating samples into three categories of samples: poor, medium, and excellent, based on the contact angle retention rate and flashover voltage drop rate; extracting the boundary values ​​between the poor sample set and the medium sample set, and the boundary values ​​between the medium sample set and the excellent sample set as basic critical values; determining the environmental correction coefficient based on the target application environment of the anti-flashover coating, and using the environmental correction coefficient to correct the basic critical values ​​to obtain the performance grading threshold, wherein the performance grading threshold includes a first threshold and a second threshold, and the first threshold is less than the second threshold.

[0012] The beneficial effects of this preferred technical solution are as follows: by obtaining the contact angle retention rate and flashover voltage drop rate of the reference coating samples to divide the sample set, the evaluation standard of the anti-flashover coating is established on the objective classification of physical degradation indicators, and the boundary values ​​between different sample sets are extracted as basic critical values, thereby transforming the qualitative classification results into a quantitative benchmark with statistical attributes. Then, combined with the target application environment, an environmental correction coefficient is determined to correct the parameters of the basic critical values, overcoming the applicability limitations of a single fixed evaluation standard under complex service conditions, so that the final output first threshold and second threshold can meet the actual performance classification requirements of the coating under specific working conditions.

[0013] As a preferred embodiment of the comprehensive evaluation method for wear resistance and self-healing of the superhydrophobic coating for external insulation of transmission lines according to the present invention, the step of comparing the comprehensive performance evaluation value with a preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating includes: when the comprehensive performance evaluation value is less than a first threshold, the comprehensive performance level is determined to be poor; when the comprehensive performance evaluation value is greater than or equal to the first threshold and less than a second threshold, the comprehensive performance level is determined to be medium; when the comprehensive performance evaluation value is greater than or equal to the second threshold, the comprehensive performance level is determined to be excellent.

[0014] The beneficial effects of this preferred technical solution are as follows: by comparing the comprehensive performance evaluation value with the first threshold and the second threshold respectively, a step-like interval judgment logic is constructed, which directly maps the continuous quantitative score to the discrete grade interval, avoiding the limitation that a single numerical result is difficult to interpret directly in engineering applications. At the same time, it also eliminates the subjective interference of human experience in the grade division stage, thereby transforming the complex evaluation data of the anti-flashover coating into three comprehensive performance grades: poor, medium, and excellent, and realizing the objective qualitative output of the service status of the anti-flashover coating.

[0015] As a preferred embodiment of the comprehensive evaluation method for wear resistance and self-healing of the superhydrophobic coating on the external insulation of transmission lines according to the present invention, the step of calculating the comprehensive performance evaluation value includes: ; In the formula, S is the comprehensive performance evaluation value. The initial static contact angle, UHR is the static contact angle due to wear, and UHR is the self-healing degree. This is the predicted value for flashover voltage.

[0016] The beneficial effects of this preferred technical solution are as follows: By constructing a mathematical calculation model that includes the initial static contact angle, the worn static contact angle, the self-healing degree, and the predicted flashover voltage, and using the difference between the initial static contact angle and the worn static contact angle to characterize the degree of hydrophobic performance degradation of the anti-flashover coating after loading, and by combining the natural logarithmic function to process the self-healing degree to reflect the nonlinear gain of the self-repair process of the anti-flashover coating, the contact angle change, the self-healing index, and the predicted flashover voltage, which reflect the macroscopic electrical insulation capability, are multiplied and fused together. This eliminates the one-sided limitations of different dimensions and single evaluation dimensions in measuring the overall service capability of the coating, thereby transforming the multi-dimensional discrete performance characteristics into a unified comprehensive performance evaluation value.

[0017] As a preferred embodiment of the comprehensive evaluation method for wear resistance and self-healing of the superhydrophobic coating on the external insulation of transmission lines according to the present invention, the step of determining the predicted flashover voltage value by combining the damage rate constant, the healing equilibrium contact angle, and the equivalent salt deposition density includes: ; In the formula, b is the preset compensation coefficient, and k is the damage rate constant. For healing equilibrium contact angle, SAR is the equivalent salt density.

[0018] The beneficial effects of this preferred technical solution are as follows: By constructing a mathematical calculation model that includes the damage rate constant, the healing equilibrium contact angle, and the equivalent salt density, and using an exponential function to nonlinearly fuse the damage rate constant, which characterizes mechanical degradation, and the healing equilibrium contact angle, which characterizes performance recovery, the microscopic hydrophobic state of the anti-flashover coating under the dynamic balance of wear and healing is reflected. Then, the microscopic hydrophobic state is multiplied by the equivalent salt density, which reflects the degree of pollution in the target application environment, and the logarithm is taken to quantify the attenuation effect of environmental pollution on insulation performance. Finally, a preset compensation coefficient is introduced to correct the calculation results, eliminating the physical dimension barrier between microscopic material test data and macroscopic electrical engineering indicators. Thus, the surface physical characteristics and environmental parameters of the anti-flashover coating are transformed into a flashover voltage prediction value that can quantitatively assess the macroscopic insulation defense capability.

[0019] Secondly, the present invention provides a comprehensive evaluation system for the wear resistance and self-healing properties of superhydrophobic coatings on the external insulation of transmission lines, comprising: Initial parameter acquisition module: used to acquire the initial static contact angle of the anti-flashover coating; Damage rate extraction module: used to apply mechanical wear load to the anti-flashover coating, measure the wear static contact angle, and extract the damage rate constant through the evolution relationship between the initial static contact angle and the wear static contact angle; Self-healing degree determination module: used to perform self-healing treatment on the worn anti-flashover coating, obtain the healing balance contact angle, and determine the self-healing degree based on the healing balance contact angle, the initial static contact angle, and the worn static contact angle; Flashover voltage prediction module: used to obtain the equivalent salt density of the target application environment, and determine the flashover voltage prediction value by combining the damage rate constant, healing equilibrium contact angle and equivalent salt density; The comprehensive evaluation and grading module is used to integrate the initial static contact angle, wear static contact angle, self-healing degree, and flashover voltage prediction value to calculate the comprehensive performance evaluation value, and compare the comprehensive performance evaluation value with the preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating.

[0020] Thirdly, the present invention provides an electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the comprehensive evaluation method for wear resistance and self-healing of the superhydrophobic coating on the external insulation of transmission lines are implemented.

[0021] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the comprehensive evaluation method for wear resistance and self-healing of the superhydrophobic coating on the outer insulation of transmission lines.

[0022] Compared with existing technologies, the beneficial effects of this invention are: it breaks through the limitations of traditional evaluation of anti-flashover coatings that rely solely on static contact angle measurements or single destructive tests; it no longer treats the mechanical damage and self-repair of anti-flashover coatings as separate processes, but rather considers the mechanical wear and degradation that anti-flashover coatings inevitably undergo during outdoor service and the low surface energy material migration and self-healing process unique to modern high-quality coatings as a complete dynamic evolution cycle for mathematical modeling. By characterizing the damage rate and self-healing degree of the anti-flashover coating, it truly restores the physical resistance and recovery ability of the anti-flashover coating under harsh environmental erosion.

[0023] Building upon this foundation, the present invention also breaks down the mapping barrier between microscopic geometric parameters and macroscopic engineering indicators. It deeply couples the microscopic hydrophobic characteristics characterizing the dynamic evolution of the anti-pollution flashover coating with the equivalent salt density of the target application environment, directly deriving the predicted flashover voltage—a core electrical indicator determining power grid safety. This makes laboratory-level material testing data truly possess engineering-grade guidance significance for anti-pollution flashover. Finally, the initial endowment, damage resistance, self-healing potential, and macroscopic insulation defense of the anti-pollution flashover coating are highly integrated into a dimensionless comprehensive performance evaluation value, which is then compared within a graded threshold framework, completely eliminating the drawbacks of traditional evaluation results being detached from actual service performance. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic diagram of the overall process of the comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coating on the external insulation of transmission lines according to an embodiment of the present invention. Detailed Implementation

[0026] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0027] Example 1, referring to Figure 1 As an embodiment of the present invention, a comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines is provided, including steps S100 to S500: S100, Obtain the initial static contact angle of the anti-flashover coating.

[0028] S200. Apply mechanical wear load to the anti-flashover coating, measure the wear static contact angle, and extract the damage rate constant through the evolution relationship between the initial static contact angle and the wear static contact angle.

[0029] S300. Perform self-healing treatment on the worn anti-flashover coating to obtain the healing balance contact angle, and determine the degree of self-healing based on the healing balance contact angle, the initial static contact angle, and the worn static contact angle.

[0030] S400: Obtain the equivalent salt density of the target application environment, and determine the predicted flashover voltage value by combining the damage rate constant, healing equilibrium contact angle, and equivalent salt density.

[0031] S500, by integrating the initial static contact angle, wear static contact angle, self-healing degree and flashover voltage prediction value, calculates the comprehensive performance evaluation value, and compares the comprehensive performance evaluation value with the preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating.

[0032] It should be noted that the superhydrophobic anti-flashover coating on the outer insulation of transmission lines is exposed to a complex outdoor natural environment for extended periods. During its service life, the surface of the anti-flashover coating is continuously subjected to the impact and friction of mechanical forces such as windblown sand particles, raindrops, and hail, which damages the surface's micro-nano structure and gradually reduces its hydrophobic properties. Furthermore, the damaged anti-flashover coating is highly susceptible to contamination accumulation in harsh and polluted environments, potentially leading to flashover accidents and endangering power grid safety. While high-quality superhydrophobic coatings possess a certain degree of dynamic self-healing capability, current evaluation methods often rely solely on single abrasion resistance tests or static contact angle measurements, making it difficult to comprehensively consider the mechanical damage, self-repair capabilities, and electrical insulation performance of the anti-flashover coating under actual polluted conditions.

[0033] Therefore, addressing the aforementioned issues of limited performance evaluation dimensions and difficulty in lifespan prediction for anti-flashover coatings, this paper employs steps S100-S500 to simulate the mechanical wear state of the anti-flashover coating under real-world operating conditions and extracts the damage rate constant to quantify wear resistance. Furthermore, it combines self-healing treatment with dynamic calculation of the self-healing degree to assess the coating's performance recovery capability. Next, it introduces the equivalent salt deposition density of the target application environment to deduce the predicted flashover voltage, reflecting macroscopic insulation defense capability. Finally, it constructs a comprehensive evaluation model based on multi-dimensional parameter fusion and compares the comprehensive performance evaluation value with preset grading thresholds to achieve an objective and accurate determination of the comprehensive performance level of the anti-flashover coating.

[0034] Example 2, refer to Figure 1 As an embodiment of the present invention, based on the above embodiment, a comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines is provided.

[0035] In this embodiment of the application, step S100 is to obtain the initial static contact angle of the anti-flashover coating; In this embodiment, the surface of the anti-flashover coating that has not been damaged is tested using a superhydrophobic contact angle tester in a standardized laboratory environment with a temperature of 23±2℃ and a relative humidity of 50±5%.

[0036] Specifically, after adding deionized water droplets to the surface of the anti-flashover coating using the conventional seat drop method, the contact angle test results were read when the droplet profile remained basically unchanged. These results were used as the initial static contact angle. In this scenario example, the perfect initial static contact angle of the anti-flashover coating was measured to be 160°.

[0037] In this embodiment of the application, step S200 involves applying a mechanical wear load to the anti-flashover coating, measuring the wear static contact angle, and extracting the damage rate constant through the evolution relationship between the initial static contact angle and the wear static contact angle. In this embodiment, the anti-flashover coating sample is placed on a dedicated mechanical wear tester to apply a mechanical wear load, simulating long-term mechanical damage in nature. After damage, the hydrophobicity remaining on the surface of the anti-flashover coating is measured, which is to measure the static contact angle of wear. Then, by comparing the data evolution of the initial static contact angle and the static contact angle of wear, the damage rate constant characterizing the anti-flashover coating's resistance to damage is quantitatively extracted.

[0038] The steps for extracting the damage rate constant by analyzing the evolution relationship between the initial static contact angle and the wear static contact angle include A1 to A3: A1. The wear medium with a preset mesh size is brought into contact with the surface of the anti-flashover coating. Under the condition of applying a constant positive pressure, the wear medium is controlled to reciprocate at a preset speed and stroke. Each reciprocating friction is marked as a wear cycle. In this embodiment, 400-mesh silicon carbide sandpaper is used as the abrasive medium. It is fixed on a flat workbench and directly contacts the surface of the anti-flashover coating. Then, a 500g standard weight is applied above the anti-flashover coating sample to apply a constant positive pressure of about 4.9N to ensure uniform friction force. Subsequently, the mechanical wear testing machine is controlled to drive the anti-flashover coating to perform reciprocating friction on the sandpaper at a speed of 25mm / s with a unidirectional stroke of 50mm. The action of the anti-flashover coating surface and the silicon carbide sandpaper completing one full positive friction and returning to the starting point is marked as one wear cycle.

[0039] A2. During the application of mechanical wear load, the static contact angle of wear corresponding to different wear cycles is obtained; To accurately capture the dynamic decay trajectory of the superhydrophobic properties of the anti-flashover coating, a single measurement after wear is complete is insufficient; instead, continuous multi-point sampling is required. Therefore, in this embodiment, the total number of wear cycles is set to 10. During the mechanical wear load application in the mechanical wear testing machine, the friction operation is paused at 2, 4, 6, 8, and 10 wear cycles, respectively. A superhydrophobic contact angle tester is then used to measure the static contact angle of the current anti-flashover coating surface. For example, when the wear cycle count reaches 10, the corresponding static contact angle decays to 125°. Through this multi-frequency sampling, a series of data pairs corresponding to different wear cycle counts and static contact angles are collected.

[0040] A3. Construct a decay evolution model with the number of wear cycles as the independent variable and the static contact angle of wear as the dependent variable, and solve the decay rate characterization parameter in the decay evolution model as the damage rate constant through nonlinear fitting. Based on the data obtained in step A2, a decay evolution model is constructed. In this embodiment, the decay evolution model is specifically represented as follows: ,in, The static contact angle of wear is the value measured after N wear cycles. To ensure the anti-flashover coating completely loses its micro / nano structure and approaches the performance degradation limit of the bulk material, the contact angle was measured to be 105° in this example. The initial static contact angle obtained in step S100 is 160°, e is the natural constant, and k is the attenuation rate characterization parameter that needs to be solved, which is the damage rate constant.

[0041] The multiple wear cycle numbers N and their corresponding static contact angles obtained in step A2 are used to... Substituting into the attenuation evolution model, curve fitting is performed using the nonlinear least squares method, and the damage rate constant k=0.1 of the anti-flashover coating is finally obtained.

[0042] In an optional implementation, the damage rate constant extracted in step S200 by the evolution relationship between the initial static contact angle and the wear static contact angle can also be solved quickly using a logarithmic linearization transformation and a univariate linear regression algorithm. Specifically, after obtaining the initial static contact angle and the wear static contact angle corresponding to different wear cycles, the performance degradation limit value after the anti-flashover coating is damaged is introduced. Then, the difference between the wear static contact angle and the performance degradation limit value at each wear cycle number is calculated, and the difference is transformed by the natural logarithm to construct a linearized dependent variable, while the corresponding wear cycle number is used as the independent variable. Subsequently, the least squares method is used to perform a univariate linear regression fitting on the independent variable and the linearized dependent variable, and the slope of the fitted line is directly calculated. Finally, the absolute value of the slope of the fitted line is determined as the damage rate constant. This linearization method can effectively avoid the local optimum problem that is easy to occur in nonlinear iterative fitting, and reduce the consumption of computing resources without relying on complex computing power.

[0043] In this embodiment of the application, step S300 involves performing self-healing treatment on the worn anti-flashover coating, obtaining the healing balance contact angle, and determining the degree of self-healing based on the healing balance contact angle, the initial static contact angle, and the worn static contact angle. It should be noted that after the mechanical wear load in step S200, the micro-nano structure of the anti-flashover coating surface is damaged and enters a damaged state with decreased hydrophobicity. However, high-quality superhydrophobic anti-flashover coatings usually contain low surface energy substances. Under specific conditions, these substances can migrate to the damaged surface, thereby achieving self-repair of the superhydrophobic properties. Therefore, step S300 needs to provide a specific temperature and humidity environment for the damaged anti-flashover coating to stimulate its inherent repair mechanism.

[0044] After the anti-flashover coating completes the dynamic repair process, its surface is retested and the healing balance contact angle is obtained. Then, the healing balance contact angle is combined with the initial static contact angle obtained in step S100 and the wear static contact angle obtained in step S200 for joint data analysis. By calculating the relative proportion of the hydrophobic performance recovery of the anti-flashover coating in the total performance loss, the self-healing degree of the anti-flashover coating is finally determined, thereby achieving an objective quantitative assessment of the self-repair capability of the anti-flashover coating.

[0045] The steps for determining the self-healing degree based on the healing equilibrium contact angle, the initial static contact angle, and the wear static contact angle include B1~B2: B1. After the anti-flashover coating that has undergone mechanical wear is placed in a constant temperature and humidity environment for a preset time, the healing equilibrium contact angle of the anti-flashover coating is measured. After the anti-flashover coating has undergone 10 wear cycles and the static contact angle has decreased to 125°, it is removed from the mechanical wear testing machine and transferred to a dedicated constant temperature and humidity test chamber. To simulate the outdoor natural environment and trigger the dynamic recovery of the coating's micro-nano structure, in this embodiment, the constant temperature and humidity test chamber environment is set to 25°C and 60% relative humidity. The anti-flashover coating is left to stand in this environment for a preset time to ensure that the hydrophobic agent inside the anti-flashover coating has sufficient time to migrate to the damaged surface and complete its remodeling.

[0046] After the settling period, a drop of deionized water was added again using a superhydrophobic contact angle tester. The droplet was allowed to stand for a preset time until its profile remained essentially unchanged before measurement. In this example, the recovered contact angle was measured to have increased significantly to 157°, and this value was recorded as the healing equilibrium contact angle of the anti-flashover coating.

[0047] B2. The difference between the healing equilibrium contact angle and the wear static contact angle is taken as the performance recovery amount. At the same time, the difference between the initial static contact angle and the wear static contact angle is calculated to obtain the total performance loss amount. The ratio of the performance recovery amount to the total performance loss amount is determined as the self-healing degree. In this embodiment, by To quantify self-healing degree, the formula is used, where UHR represents self-healing degree. The healing balance contact angle obtained in step B1, The static contact angle of wear obtained in step S200. The initial static contact angle obtained in step S100, The extent to which the contact angle of the anti-flashover coating recovers after self-healing treatment, i.e., the performance recovery, is characterized by the degree of contact angle recovery. It characterizes the total decrease in contact angle of the anti-flashover coating during mechanical wear, i.e., the total performance loss.

[0048] Substitute the data from the scenario example into the initial static contact angle. Static contact angle of wear and healing balance contact angle The calculated performance recovery amount is... The total performance loss is The self-healing degree was finally calculated. .

[0049] In an optional implementation, the determination of self-healing degree in step S300 based on the healing equilibrium contact angle, initial static contact angle, and wear static contact angle can also incorporate a damage depth penalty weight for nonlinear correction. Specifically, considering that the recovery difficulty of the micro / nano structure of the anti-flashover coating increases nonlinearly after severe damage, after calculating the performance recovery amount and the total performance loss amount respectively, the ratio of the wear static contact angle to the initial static contact angle is extracted to construct the damage depth penalty weight; then, this damage depth penalty weight is multiplied by the basic ratio of the performance recovery amount and the total performance loss amount to determine the final self-healing degree. Through this physical weighting process, the objective phenomenon of the coating's self-healing rate slowing down under severe wear conditions can be effectively corrected, thereby outputting a more accurate self-healing degree that conforms to the dynamic recovery law of material surface energy under extreme destructive conditions.

[0050] In this embodiment of the application, step S400 involves obtaining the equivalent salt density of the target application environment and determining the flashover voltage prediction value by combining the damage rate constant, the healing equilibrium contact angle, and the equivalent salt density. The core engineering value of anti-flashover coatings lies in their electrical insulation performance in actual polluted environments. Equivalent salt density is a key indicator for measuring the severity of pollution in the target application environment. Therefore, step S400 requires obtaining the equivalent salt density data of the area where the transmission line where the anti-flashover coating is expected to be in service is located.

[0051] After obtaining the equivalent salt density, the damage rate constant in step S200 and the healing equilibrium contact angle in step S300 are input into the pre-constructed anti-flashover performance correlation model. This anti-flashover performance correlation model can mathematically integrate the hydrophobic performance parameters at the micro level with the environmental pollution parameters at the macro level, thereby predicting the flashover voltage of the anti-flashover coating in the target application environment.

[0052] The steps for determining the predicted flashover voltage by combining the damage rate constant, the healing equilibrium contact angle, and the equivalent salt deposit density include: ; In the formula, b is the preset compensation coefficient, and k is the damage rate constant. To achieve a healing equilibrium contact angle, SAR is the equivalent salt deposition density; In this embodiment, This is a semi-empirical correlation model for anti-flashover performance established based on artificial pollution flashover test data. It assumes the target application environment is a moderately polluted area, and the corresponding equivalent salt density SAR is measured to be 0.2 mg / cm³. 2 Then, the damage rate constant k=0.1 and the healing equilibrium contact angle are determined. The pre-fitted compensation coefficient b is substituted into the calculation formula for the flashover voltage prediction value to finally obtain the predicted flashover voltage value of the anti-flashover coating in the target application environment. .

[0053] It should be noted that the compensation coefficient b is not an arbitrarily set empirical constant, but a key parameter obtained by backfitting based on real physical experimental data. Specifically, firstly, pollutant solutions of different concentrations were prepared and coated on the surface of the insulator. The conductivity was measured and converted into the equivalent sodium chloride density as the equivalent salt density. Then, multiple sets of reference coating samples with different formulations were selected. After obtaining the damage rate constant and healing equilibrium contact angle of each reference coating sample, the actual flashover voltage of each set of reference coating samples under different equivalent salt densities was measured in an artificial fog chamber using the rise and fall method or the stepwise voltage increase method.

[0054] After collecting dozens or even hundreds of valid data pairs, the anti-flashover performance correlation model is iteratively solved using a nonlinear least squares fitting algorithm, such as the Levenberg-Marquardt algorithm, with the objective function of minimizing the sum of squared residuals. The undetermined coefficients in the anti-flashover performance correlation model are continuously adjusted until the error between the predicted value output by the model and the measured flashover voltage is minimized. These undetermined coefficients are then used as compensation coefficients applicable to this type of anti-flashover coating system.

[0055] In this embodiment of the application, step S500 involves fusing the initial static contact angle, the worn static contact angle, the self-healing degree, and the predicted flashover voltage to calculate a comprehensive performance evaluation value. The comprehensive performance evaluation value is then compared with a preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating. The steps for calculating the comprehensive performance evaluation value include: ; In the formula, S is the comprehensive performance evaluation value. The initial static contact angle, UHR is the static contact angle due to wear, and UHR is the self-healing degree. This is the predicted value of the flashover voltage; In this embodiment, , UHR=91 and Substituting the values ​​into the calculation, the overall performance evaluation value is approximately S≈13104.

[0056] The steps for setting the performance grading thresholds include C1 to C3: C1. Obtain the contact angle retention rate and flashover voltage drop rate of the reference coating samples, and divide the reference coating samples into three categories of samples: poor, medium, and excellent based on the contact angle retention rate and flashover voltage drop rate. In this embodiment, at least 30 sets of reference coating samples with different formulations are selected first, and the initial static contact angle and initial flashover voltage of each reference coating sample in an undamaged state are measured in advance. Then, 200 wear-self-healing cycles are carried out on the 30 sets of reference coating samples for actual wire mesh testing or accelerated aging testing. After the test, the static contact angle and flashover voltage of each reference coating sample after the cycle are measured again. The ratio of the static contact angle after the cycle to the initial static contact angle is calculated as the contact angle retention rate. At the same time, the difference between the initial flashover voltage and the flashover voltage after the cycle is calculated, and the ratio of the difference to the initial flashover voltage is calculated as the flashover voltage reduction rate. Then, physical judgment criteria are set according to actual engineering needs. For example, samples with a contact angle retention rate greater than 80% and a flashover voltage reduction rate less than 15% are classified as superior sample sets; samples with a contact angle retention rate less than 40% and a flashover voltage reduction rate greater than 30% are classified as poor sample sets; and the remaining samples are classified as medium sample sets.

[0057] C2. Extract the boundary values ​​between the poor class sample set and the medium class sample set, as well as the boundary values ​​between the medium class sample set and the excellent class sample set, as basic critical values; After classifying the reference coating samples, the comprehensive performance evaluation value corresponding to each sample was calculated. Statistical analysis of a large amount of data revealed that the comprehensive performance evaluation values ​​of the excellent sample set were generally in the higher range, while those of the poor sample set were concentrated in the lower range. To clearly distinguish different performance levels, the boundary point in the distribution of comprehensive performance evaluation values ​​between the poor and average sample sets was extracted as the first basic critical value, and the boundary point in the distribution between the average and excellent sample sets was extracted as the second basic critical value. In this embodiment, the first and second basic critical values ​​are 10000 and 20000, respectively. These two basic critical values ​​represent the performance watershed of the anti-flashover coating in a typical application environment of moderate dirt and mild mechanical wear.

[0058] C3. Determine the environmental correction coefficient based on the target application environment of the anti-flashover coating, and use the environmental correction coefficient to correct the basic critical value to obtain the performance grading threshold. The performance grading threshold includes a first threshold and a second threshold, and the first threshold is less than the second threshold. Because the actual service environments of transmission lines vary greatly, fixed basic critical values ​​are insufficient to meet the evaluation requirements of all operating conditions. Therefore, this embodiment introduces an environmental correction coefficient to dynamically adjust the evaluation criteria. If the target application environment is a harsh environment such as strong winds and sandstorms, heavy icing areas, or high salt spray, the performance degradation of the anti-flashover coating will be significantly accelerated. In this case, an environmental correction coefficient between 0.5 and 2.0 needs to be determined based on the severity of the environment. Specifically, the environmental correction coefficient is multiplied by the two basic critical values ​​extracted in step C2 to obtain the first threshold and the second threshold adapted to the current specific environment. For example, in a typical environment, the environmental correction coefficient is 1.0, then the first threshold is 10000, and the second threshold is 20000.

[0059] In an optional implementation, the preset performance grading threshold in step S500 can also be calibrated using spatial distance measurement and a linear weighted algorithm. Specifically, the contact angle retention rate and flashover voltage reduction rate of the reference coating samples are first constructed as two-dimensional feature vectors. K-means iterative clustering is performed by calculating the Euclidean distance between the sample feature vectors and the cluster centers to objectively divide the reference coating samples into three sample sets: poor, medium, and excellent. Then, the maximum value of the comprehensive performance evaluation value in the poor sample set and the minimum value in the medium sample set are extracted and the arithmetic mean is taken as the first basic critical value. Similarly, the mean of the intersection of the medium and excellent sets is taken as the second basic critical value. In addition, environmental characteristic parameters such as the annual average wind speed and dustfall of the target application environment are extracted, normalized, and linearly weighted and summed with preset weights to obtain the environmental degradation index. The reciprocal of the environmental degradation index is used as the environmental correction coefficient to multiply and correct the basic critical values, thereby obtaining the first threshold and the second threshold matching the micrometeorological conditions.

[0060] In another optional implementation, the preset performance grading threshold in step S500 can also be calibrated with high robustness based on the principle of normal distribution statistics. Specifically, after dividing the reference coating samples into three sample sets—poor, medium, and excellent—all comprehensive performance evaluation values ​​corresponding to the medium-sized sample set are extracted, and the expected mean and standard deviation of the comprehensive performance evaluation values ​​in the medium-sized sample set are calculated. To avoid interference from extreme outlier test data, the difference between the expected mean and the standard deviation is directly used as the first basic critical value, and the sum of the expected mean and the standard deviation is used as the second basic critical value. Finally, the environmental correction coefficient is determined by combining the environmental characteristic parameters of the target application environment, and the basic critical values ​​are weighted and corrected using the environmental correction coefficient to obtain the final first and second thresholds. This calibration method based on statistical distribution characteristics does not require the manual specification of absolute hard cutting boundaries, making the setting of grading thresholds more consistent with the objective statistical laws of performance degradation of engineering materials, and improving the fault tolerance of the evaluation system.

[0061] The steps for determining the overall performance level of the anti-flashover coating by comparing the comprehensive performance evaluation value with the preset performance grading threshold include D1 to D3: D1. When the comprehensive performance evaluation value is less than the first threshold, the comprehensive performance level is judged as poor. In this embodiment, the first threshold is the minimum acceptable level for evaluating whether the anti-flashover coating possesses basic service capability. Therefore, when the calculated comprehensive performance evaluation value is lower than this first threshold, it indicates that the anti-flashover coating cannot effectively recover its superhydrophobic properties after mechanical wear, and its electrical insulation capability has significantly decreased, making it unable to resist the pollution attack of the target application environment. In this case, its comprehensive performance level will be directly determined to be poor. For anti-flashover coatings with this rating, engineering decisions typically mean that the coating has completely failed, and an immediate power outage for cleaning or recoating must be arranged to eliminate the safety hazard of flashover on the transmission line.

[0062] D2. When the comprehensive performance evaluation value is greater than or equal to the first threshold and the comprehensive performance evaluation value is less than the second threshold, the comprehensive performance level is determined to be medium. In this embodiment, a performance buffer zone is formed between the first threshold and the second threshold. When the comprehensive performance evaluation value falls into this zone, such as the comprehensive performance evaluation value of 13104 calculated in step S500, it indicates that although the anti-flashover coating has experienced a certain degree of performance degradation and some micro-nano structures have been damaged, the inherent self-healing mechanism is still functioning, and the current insulation performance can still maintain the basic operating requirements of the transmission line. At this time, its comprehensive performance level is determined to be medium. This suggests to maintenance personnel that the anti-flashover coating has entered the performance degradation period and requires subsequent attention. It is recommended to increase the frequency of inspections or further improve its service life by optimizing the spraying process.

[0063] D3. When the comprehensive performance evaluation value is greater than or equal to the second threshold, the comprehensive performance level is judged to be excellent. In this embodiment, the second threshold represents the high-performance standard of a superior anti-flashover coating. Therefore, when the comprehensive performance evaluation value reaches or exceeds this second threshold, it indicates that the anti-flashover coating possesses extremely excellent resistance to mechanical damage and a highly efficient dynamic self-healing speed. It can maintain a stable superhydrophobic state and a high level of flashover voltage for a long time in harsh and polluted environments, and its comprehensive performance level is judged to be excellent. This type of coating can significantly reduce the operation and maintenance costs of transmission lines and extend the maintenance-free period. In engineering applications, it can be widely promoted and used as a preferred formulation.

[0064] To further demonstrate the positive correlation between the comprehensive performance evaluation value and the actual physical effect, this embodiment provides a comparative data list of five typical samples. The experimental data are shown in Table 1.

[0065] Table 1: Experimental Data Table

[0066] As shown in Table 1, by comparing the S value with the actual contact angle retention rate of the sample after 200 wear-healing cycles, it can be clearly seen that the larger the S value, the higher the actual wear resistance-self-healing comprehensive rating of the anti-flashover coating, which verifies the accuracy and generalization ability of the calculation formula.

[0067] In summary, this invention breaks through the limitations of traditional evaluation methods for anti-flashover coatings, which rely solely on static contact angle measurements or single destructive tests. It no longer treats the mechanical damage and self-repair of anti-flashover coatings as separate processes. Instead, it considers the inevitable mechanical wear and degradation that anti-flashover coatings undergo during outdoor service, along with the low surface energy material migration and self-healing process unique to modern high-quality coatings, as a complete dynamic evolution cycle and performs mathematical modeling. By characterizing the damage rate and self-healing degree of the anti-flashover coating, it realistically restores the physical resistance and recovery capability of the anti-flashover coating under harsh environmental erosion.

[0068] Building upon this foundation, the present invention also breaks down the mapping barrier between microscopic geometric parameters and macroscopic engineering indicators. It deeply couples the microscopic hydrophobic characteristics characterizing the dynamic evolution of the anti-pollution flashover coating with the equivalent salt density of the target application environment, directly deriving the predicted flashover voltage—a core electrical indicator determining power grid safety. This makes laboratory-level material testing data truly possess engineering-grade guidance significance for anti-pollution flashover. Finally, the initial endowment, damage resistance, self-healing potential, and macroscopic insulation defense of the anti-pollution flashover coating are highly integrated into a dimensionless comprehensive performance evaluation value, which is then compared within a graded threshold framework, completely eliminating the drawbacks of traditional evaluation results being detached from actual service performance.

[0069] Example 3 illustrates a schematic scheme for a comprehensive evaluation method of wear resistance and self-healing properties of superhydrophobic coatings for external insulation of transmission lines. It should be noted that the technical solution of this system for comprehensive evaluation of wear resistance and self-healing properties of superhydrophobic coatings for external insulation of transmission lines belongs to the same concept as the aforementioned method for comprehensive evaluation of wear resistance and self-healing properties of superhydrophobic coatings for external insulation of transmission lines. Details not described in detail in this embodiment can be found in the description of the aforementioned method for comprehensive evaluation of wear resistance and self-healing properties of superhydrophobic coatings for external insulation of transmission lines.

[0070] This embodiment also provides a comprehensive evaluation system for the wear resistance and self-healing properties of superhydrophobic coatings on the external insulation of transmission lines, including: Initial parameter acquisition module: used to acquire the initial static contact angle of the anti-flashover coating; Damage rate extraction module: used to apply mechanical wear load to the anti-flashover coating, measure the wear static contact angle, and extract the damage rate constant through the evolution relationship between the initial static contact angle and the wear static contact angle; Self-healing degree determination module: used to perform self-healing treatment on the anti-flashover coating after wear, obtain the healing balance contact angle, and determine the self-healing degree based on the healing balance contact angle, the initial static contact angle, and the wear static contact angle; Flashover voltage prediction module: used to obtain the equivalent salt density of the target application environment, and combine the damage rate constant, healing equilibrium contact angle and equivalent salt density to determine the predicted flashover voltage value; The comprehensive evaluation and grading module is used to integrate the initial static contact angle, wear static contact angle, self-healing degree, and flashover voltage prediction values ​​to calculate the comprehensive performance evaluation value. The comprehensive performance evaluation value is then compared with the preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating.

[0071] This embodiment also provides an electronic device applicable to the comprehensive evaluation of the wear resistance and self-healing properties of the superhydrophobic coating on the outer insulation of transmission lines, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the comprehensive evaluation method for the wear resistance and self-healing properties of the superhydrophobic coating on the outer insulation of transmission lines as proposed in the above embodiment.

[0072] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines as proposed in the above embodiments.

[0073] The storage medium proposed in this embodiment and the comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0074] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0075] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A comprehensive evaluation method for the wear resistance and self-healing properties of superhydrophobic coatings on the external insulation of transmission lines, characterized in that, include: Obtain the initial static contact angle of the anti-flashover coating; Mechanical wear load is applied to the anti-flashover coating, the static wear contact angle is measured, and the damage rate constant is extracted by the evolution relationship between the initial static contact angle and the static wear contact angle. The anti-flashover coating after wear is subjected to self-healing treatment to obtain the healing balance contact angle, and the degree of self-healing is determined based on the healing balance contact angle, the initial static contact angle and the wear static contact angle. Obtain the equivalent salt density of the target application environment, and combine it with the damage rate constant, healing equilibrium contact angle and equivalent salt density to determine the predicted flashover voltage. By integrating the initial static contact angle, wear static contact angle, self-healing degree, and flashover voltage prediction value, a comprehensive performance evaluation value is calculated. The comprehensive performance evaluation value is then compared with a preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating.

2. The comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines as described in claim 1, characterized in that, The steps for extracting the damage rate constant based on the evolution relationship between the initial static contact angle and the wear static contact angle include: A pre-set mesh abrasive medium is brought into contact with the surface of the anti-flashover coating, and under the condition of applying a constant positive pressure, the abrasive medium is controlled to reciprocate at a pre-set speed and stroke, and a single reciprocating friction is marked as a wear cycle. During the application of mechanical wear load, the static contact angle of wear corresponding to different wear cycles was obtained; A decay evolution model with the number of wear cycles as the independent variable and the static contact angle of wear as the dependent variable is constructed, and the decay rate characterization parameter in the decay evolution model is solved by nonlinear fitting as the damage rate constant.

3. The comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines as described in claim 2, characterized in that, The steps for determining the self-healing degree based on the healing equilibrium contact angle, the initial static contact angle, and the wear static contact angle include: After the anti-flashover coating that has undergone mechanical wear is placed in a constant temperature and humidity environment for a preset time, the healing equilibrium contact angle of the anti-flashover coating is measured. The difference between the healing equilibrium contact angle and the wear static contact angle is used as the performance recovery amount. At the same time, the difference between the initial static contact angle and the wear static contact angle is calculated to obtain the total performance loss amount. The ratio of the performance recovery amount to the total performance loss amount is determined as the self-healing degree.

4. The comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines as described in claim 3, characterized in that, The steps for setting preset performance grading thresholds include: The contact angle retention rate and flashover voltage drop rate of the reference coating samples are obtained, and the reference coating samples are divided into three categories of samples: poor, medium, and excellent based on the contact angle retention rate and flashover voltage drop rate. The boundary values ​​between the poor class sample set and the medium class sample set, as well as the boundary values ​​between the medium class sample set and the excellent class sample set, are extracted as basic critical values; An environmental correction factor is determined based on the target application environment of the anti-flashover coating, and the basic critical value is corrected using the environmental correction factor to obtain a performance grading threshold. The performance grading threshold includes a first threshold and a second threshold, and the first threshold is less than the second threshold.

5. The comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines as described in claim 4, characterized in that, The step of comparing the comprehensive performance evaluation value with a preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating includes: When the comprehensive performance evaluation value is less than the first threshold, the comprehensive performance level is determined to be poor. When the comprehensive performance evaluation value is greater than or equal to the first threshold and less than the second threshold, the comprehensive performance level is determined to be medium. When the comprehensive performance evaluation value is greater than or equal to the second threshold, the comprehensive performance level is determined to be excellent.

6. The comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines as described in claim 5, characterized in that, The steps to calculate the comprehensive performance evaluation value include: ； In the formula, S is the comprehensive performance evaluation value. The initial static contact angle, UHR is the static contact angle due to wear, and UHR is the self-healing degree. This is the predicted value for flashover voltage.

7. The comprehensive evaluation method for wear resistance and self-healing of superhydrophobic coatings for external insulation of transmission lines as described in claim 6, characterized in that, The steps for determining the predicted flashover voltage by combining the damage rate constant, the healing equilibrium contact angle, and the equivalent salt deposit density include: ； In the formula, b is the preset compensation coefficient, and k is the damage rate constant. For healing equilibrium contact angle, SAR is the equivalent salt density.

8. A comprehensive evaluation system for the wear resistance and self-healing properties of superhydrophobic coatings for external insulation of transmission lines, employing the method described in any one of claims 1-7, characterized in that... include: Initial parameter acquisition module: used to acquire the initial static contact angle of the anti-flashover coating; Damage rate extraction module: used to apply mechanical wear load to the anti-flashover coating, measure the wear static contact angle, and extract the damage rate constant through the evolution relationship between the initial static contact angle and the wear static contact angle; Self-healing degree determination module: used to perform self-healing treatment on the worn anti-flashover coating, obtain the healing balance contact angle, and determine the self-healing degree based on the healing balance contact angle, the initial static contact angle, and the worn static contact angle; Flashover voltage prediction module: used to obtain the equivalent salt density of the target application environment, and determine the flashover voltage prediction value by combining the damage rate constant, healing equilibrium contact angle and equivalent salt density; The comprehensive evaluation and grading module is used to integrate the initial static contact angle, wear static contact angle, self-healing degree, and flashover voltage prediction value to calculate the comprehensive performance evaluation value, and compare the comprehensive performance evaluation value with the preset performance grading threshold to determine the comprehensive performance level of the anti-flashover coating.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the comprehensive evaluation method for wear resistance and self-healing of the superhydrophobic coating for external insulation of transmission lines as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the comprehensive evaluation method for wear resistance and self-healing of the superhydrophobic coating for external insulation of transmission lines as described in any one of claims 1 to 7.

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