Method and system for equivalent simulation of artificial accelerated aging of composite insulator

Abstract

The invention provides an equivalent simulation method and system for artificial accelerated aging of a composite insulator, and relates to the technical field of insulator equivalence, and the method comprises the steps: obtaining naturally aged insulators with different operation years; acquiring accelerated aging insulators with different aging degrees; performing performance test on the accelerated aging insulator and the natural aging insulator to obtain a plurality of key aging characteristic indexes; calculating a health state index based on the key aging characteristic index; constructing a health state index prediction model based on the health state index; and performing multi-objective optimization on the equivalent accelerated aging environment parameters and acceleration time of the actual natural aging composite insulator based on the health state index prediction model to obtain the equivalent optimal accelerated aging environment parameters and the optimal acceleration time of the actual natural aging composite insulator. According to the invention, the problem of low reality correlation and data reliability of test results caused by low accuracy and consistency of equivalent simulation results when the aging degree is evaluated in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of insulator equivalence technology, and more specifically, to a method and system for artificially accelerated aging equivalent simulation of composite insulators. Background Technology

[0002] With the widespread application of silicone rubber composite insulators in power systems, their aging performance directly affects their service life and system safety. During long-term operation, composite insulators are affected by various environmental factors, leading to aging, which in turn seriously affects their insulation performance and threatens the safe and stable operation of the power system.

[0003] Traditional natural aging tests require lengthy on-site observation and testing, which is not only time-consuming and labor-intensive but also fails to meet the rapid assessment needs of practical applications. To improve efficiency, accelerated aging tests are commonly used. However, existing accelerated aging methods typically consider only one or a few aging factors, failing to comprehensively simulate the combined effects of multiple aging factors in the actual operating environment, resulting in low correlation between test results and real-world usage. Furthermore, existing technologies suffer from insufficient accuracy and consistency when using different characteristic quantities to assess the degree of aging. Therefore, there is an urgent need for a method that can comprehensively consider multiple aging factors and accurately assess the aging state of composite insulators to improve the real-world relevance and data reliability of test results, thereby ensuring the safe operation of power systems. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for simulating the artificial accelerated aging of composite insulators, thereby improving the aforementioned problems. To achieve this objective, the technical solution adopted by this invention is as follows: Firstly, this application provides an equivalent simulation method for artificially accelerated aging of composite insulators, including: Obtain the natural environmental parameters of insulators that have aged for different years and the regions where the naturally aged insulators are located; Artificial accelerated aging experiments were conducted on unaged insulators by simulating the natural environmental parameters to obtain accelerated-aged insulators with different aging degrees. The accelerated aging environmental parameters of the artificial accelerated aging experiment included temperature and ultraviolet intensity. Performance tests were conducted on the accelerated aging insulators and the naturally aging insulators to obtain several key aging characteristic indicators and corresponding weighting factors; The health status index of the naturally aging insulator and the accelerated aging insulator is calculated based on the key aging characteristic indicators and the corresponding weighting factors. A health status index prediction model is constructed based on the health status index. The input of the health status index model is the natural environment parameters corresponding to different operating years or the accelerated aging environment parameters corresponding to different acceleration times. Based on the health status index prediction model, the accelerated aging environment parameters and acceleration time equivalent to the actual naturally aged composite insulator are optimized using multiple objectives to obtain the optimal accelerated aging environment parameters and optimal acceleration time equivalent to the actual naturally aged composite insulator.

[0005] Secondly, this application also provides an equivalent simulation system for artificially accelerated aging of composite insulators, comprising: The acquisition module is used to acquire naturally aged insulators of different service years and the natural environmental parameters of the region where the naturally aged insulators are located; The simulation module is used to conduct an artificial accelerated aging experiment on unaged insulators by simulating the natural environmental parameters to obtain accelerated aged insulators with different aging degrees. The accelerated aging environmental parameters of the artificial accelerated aging experiment include temperature and ultraviolet intensity. The testing module is used to perform performance tests on the accelerated aging insulator and the naturally aging insulator to obtain multiple key aging characteristic indicators and corresponding weighting factors. The calculation module is used to calculate the health status index of the naturally aging insulator and the accelerated aging insulator based on the key aging characteristic indicators and the corresponding weighting factors. The construction module is used to build a health status index prediction model based on the health status index. The input of the health status index model is the natural environment parameters corresponding to different operating years or the accelerated aging environment parameters corresponding to different acceleration times. The optimization module is used to perform multi-objective optimization of the accelerated aging environment parameters and acceleration time equivalent to the actual naturally aged composite insulator based on the health status index prediction model, so as to obtain the optimal accelerated aging environment parameters and optimal acceleration time equivalent to the actual naturally aged composite insulator.

[0006] The beneficial effects of this invention are as follows: This invention comprehensively considers multiple aging factors such as temperature and ultraviolet radiation in aging tests, more accurately simulating the aging process in actual use environments. It can comprehensively reflect the aging effects of various environmental factors on composite insulators, improving the real-world relevance of test results. By obtaining key aging characteristic indicators and calculating the comprehensive Mahalanobis distance and health status index, the equivalence between naturally aging insulators and accelerated aging insulators is evaluated, enabling a more accurate assessment of the equivalence between accelerated aging and natural aging, thus improving the accuracy of test results. Furthermore, by employing an optimization algorithm to obtain the optimal accelerated aging environmental parameters and optimal acceleration time equivalent to naturally aging insulators, test results comparable to long-term natural aging can be obtained in a short time using optimal parameters, greatly improving test efficiency and saving time and costs. This facilitates better prediction of insulator lifespan and optimization of maintenance strategies, thereby improving the overall reliability and economy of the power system.

[0007] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description

[0008] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 This is a schematic diagram of the process for an equivalent simulation method of artificially accelerated aging of composite insulators as described in an embodiment of the present invention. Detailed Implementation

[0010] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0011] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0012] Example 1: This embodiment provides an equivalent simulation method for artificially accelerated aging of composite insulators.

[0013] See Figure 1 The figure shows that the method includes steps S100, S200, S300, S400, S500 and S600.

[0014] Step S100: Obtain naturally aged insulators with different service years and the natural environmental parameters of the region where the naturally aged insulators are located; In this embodiment, the region where the naturally aging insulators are located is selected as the target region. This region should have typical environmental characteristics that can comprehensively reflect the natural aging of the composite insulators in actual use. Furthermore, natural environmental parameters of the target region over the past ten years are collected, including annual average temperature, ultraviolet radiation intensity, relative humidity, and annual rainfall.

[0015] Samples were selected from composite insulators produced by the same manufacturer and from the same batch to ensure consistency in materials and manufacturing processes, and to cover different service lifespans, including 1 year, 3 years, 5 years, 7 years, and 10 years. Each sample was uniquely identified and meticulously recorded, including its service life, installation location, and on-site environmental parameters.

[0016] High-precision cutting equipment is used for segmentation, and the shapes are divided into dumbbell, square, right-angle, etc. according to their appearance, while the outermost composite insulator's skirt sheath is retained.

[0017] Specifically, the cutting locations, classification, and selection rules are as follows: the cut upper and lower skirts, skirt edges, skirt middle, skirts near the mandrel, and silicone rubber sheets on the mandrel are classified and processed. Independent damage assessments are conducted through visual inspection and non-destructive testing techniques, recording surface damage characteristics such as cracks, aging spots, and color changes. Correlation analysis is used to select the most severely damaged skirt areas as the primary test locations for subsequent testing and analysis.

[0018] The correlation between quantitative performance indicators and running time of samples at different locations was analyzed using Pearson correlation coefficient. The location with the strongest correlation was selected as the test area, and samples from this location were collected as naturally aged samples at different aging times, which were used as naturally aged insulators in this embodiment.

[0019] Step S200: Conduct an artificial accelerated aging experiment on the unaged insulators by simulating the natural environmental parameters to obtain accelerated aging insulators with different aging degrees. The accelerated aging environmental parameters of the artificial accelerated aging experiment include temperature and ultraviolet intensity. In this embodiment, the artificial accelerated aging treatment of unaged insulators includes adjusting the aging time ratio, temperature, and ultraviolet intensity, wherein the acceleration time is calculated using the aging time ratio. The artificial accelerated aging experiment is conducted using a comprehensive environmental aging test chamber.

[0020] Specifically, data on temperature and ultraviolet radiation characteristics in natural environmental parameters are obtained, including annual average temperature, ultraviolet irradiance, and the proportion of long-wave ultraviolet radiation.

[0021] Based on the physical meaning of irradiance, the total irradiance intensity generated by the lamps on the surface of the unaged insulator in the comprehensive environmental aging test chamber is calculated as follows:

[0022] In the formula, Indicates the total irradiance intensity. This indicates the irradiance at 340 nm. Indicates the number of fluorescent tubes. This indicates the distance between the light source and the surface of the unaged insulator.

[0023] According to GB / T 23987-2009 standard, the total radiation on the surface of an unaged insulator is calculated as follows:

[0024] In the formula, Indicates the total amount of radiation. Indicates the total irradiance intensity. Indicates acceleration time.

[0025] Considering the effect of temperature on UV aging, an empirical formula shows that doubling the temperature approximately doubles the aging effect. Therefore, the equivalent duration of natural environment operation for the accelerated environmental aging test chamber is expressed as follows:

[0026] In the formula, The accelerated time of the comprehensive environmental aging test chamber represents the equivalent duration of operation in a natural environment. Indicates the total amount of radiation. This represents the total amount of solar radiation received annually. This indicates the temperature of the comprehensive environmental aging test chamber. This indicates the proportion of long-wave ultraviolet radiation to the total annual radiation. This indicates the average annual temperature of the target region. This indicates the aging-accelerating factor, where the aging-accelerating factor is the multiple by which temperature accelerates aging.

[0027] In this embodiment, different acceleration times are set to obtain insulators with different aging degrees.

[0028] Step S300: Perform performance tests on the accelerated aging insulator and the naturally aging insulator to obtain multiple key aging characteristic indicators and corresponding weighting factors; Step S300 includes: Step S301: Perform performance tests on the accelerated aging insulator and the naturally aged insulator to obtain multiple characterization indicators corresponding to the performance, including physical and chemical properties, mechanical properties, electrical properties and material properties; In this embodiment, multiple performance parameters and their corresponding characterization metrics are shown in Table 1.

[0029] Table 1 Comparison of Performance Test and Characterization Indicators

[0030] In this embodiment, when conducting hydrophobicity testing, the contact angles of composite insulators with different aging degrees are obtained using the pendant drop-static contact angle method, which is used to evaluate the hydrophobicity of the composite insulators.

[0031] When conducting surface hardness tests, a Shore hardness tester is used to determine the hardness and evaluate the surface hardness of composite insulators.

[0032] When conducting roughness tests, a surface roughness meter is used to measure the surface roughness parameters, including the arithmetic mean roughness and the maximum peak-to-valley height, to evaluate the surface condition of the composite insulator.

[0033] When conducting tensile strength tests, a tensile testing machine is used to determine the tensile strength of composite insulators with different aging degrees. Two quantitative indicators, maximum tensile strength and elongation at break, are extracted to evaluate the mechanical properties of composite insulators.

[0034] When conducting dielectric property tests, the dielectric constant and dielectric loss tangent are measured using a dielectric spectrometer, and dielectric property curves are obtained at different frequencies to evaluate the dielectric performance of composite insulators.

[0035] When conducting flashover voltage tests, a high-voltage testing device is used to measure the flashover voltage of the sample, and two quantitative indicators, flashover voltage value and flashover time, are extracted to evaluate the electrical performance of the composite insulator.

[0036] When performing volume resistivity testing, the volume resistivity of the composite insulator is measured after charging for 60 seconds to evaluate its electrical performance.

[0037] When performing Fourier transform infrared (FTIR) tests, the content of the corresponding functional groups is calculated using the peak area method, and the Si-CH3 content is expressed using the corrected area to evaluate the pyrolysis characteristics of composite insulators.

[0038] During scanning electron microscopy (SEM) testing, the microstructure of composite insulators with different aging times was observed. The images were processed into black and white images and the characteristics of the particles were extracted to obtain the particle parameters of composite insulators with different aging degrees, which were used to evaluate the microstructure of composite insulators.

[0039] Step S302: Plot curves of the characterization indicators corresponding to the multiple performance characteristics to obtain the curves of the multiple characterization indicators of the accelerated aging insulator and the naturally aging insulator as a function of aging time. Step S303: Calculate the decay value of each characterization index of the naturally aged insulator using the change curves of multiple characterization indices of the naturally aged insulator with respect to aging time; Step S304: Calculate the failure judgment result of the characterization index corresponding to the attenuation value through the attenuation value and the failure criterion, and select key aging characteristic indicators according to the failure judgment result. The failure criterion is dynamically adjusted according to the service life of the naturally aging insulator. In this embodiment, the formula for determining the failure result is:

[0040]

[0041] In the formula, This indicates the failure determination result. This indicates that the product is still valid. Indicates invalidity. Indicates the first The current value of each characterization metric. Indicates the first The initial values ​​of each characterization index, Indicates the first Failure criteria for each characterization index Indicates the first The basic failure criteria of each characterization index Indicates the adjustment factor. Indicates the service life of naturally aging insulators. This indicates the maximum service life of naturally aging insulators.

[0042] In this embodiment, the failure criterion represents the attenuation threshold. For example, a failure criterion of 0.5 indicates that the current value of the characterizing index has attenuated to 50% of the initial value, and the basic failure criterion is set to 0.5. However, the sample data of naturally aged insulators is limited. When naturally aged insulators have reached 10 years of service life, their adjustment coefficient is 0. When naturally aged insulators have not reached 10 years of service life, the failure criterion is adjusted using a dynamic threshold method based on the characteristics of samples with different service lifespans.

[0043] Furthermore, when selecting the indicator to characterize failure, it is necessary to ensure that the indicator does not show a significant upward trend after reaching the decay threshold, in order to rule out the influence of short-term environmental fluctuations or measurement errors. To quantify and confirm the trend of the indicator after reaching the decay threshold, a recovery trend indicator is defined as:

[0044] In the formula, Indicates the first The recovery trend indicators of the characterization indicators, and They represent the first Each characterization index is Time and The value at any given moment.

[0045] Determine the recovery trend index of the characterization indicator. If the recovery trend index is less than the preset recovery trend value, then the characterization index is taken as the key aging characteristic index.

[0046] Step S305: Calculate the weighting factor for each key aging characteristic indicator using the entropy weighting method and correlation analysis method.

[0047] In this embodiment, the formula for calculating the weighting factor of the key aging characteristic indicators is as follows:

[0048] In the formula, Indicates the first Weighting factors for key aging characteristic indicators, Indicates the first Information entropy of key aging characteristic indicators Indicates the first Normalization coefficients of key aging characteristic indicators, This indicates the number of key aging characteristic indicators.

[0049] Step S400: Calculate the health status index of the naturally aging insulator and the accelerated aging insulator based on the key aging characteristic indicators and the corresponding weighting factors; Step S400 includes: Step S401: Obtain the key aging characteristic index transformation curves, which include the change curves of multiple key aging characteristic indicators of the accelerated aging insulator with respect to aging time and the change curves of multiple key aging characteristic indicators of the naturally aging insulator with respect to aging time. Step S402: Calculate the combined Mahalanobis distance of the accelerated aging insulator and the naturally aging insulator using the transformation curve of the key aging characteristic index and the weighting factor corresponding to the key aging characteristic index, respectively. In this embodiment, the Mahalanobis distance of each key aging characteristic index under different aging conditions is calculated, and the weighted comprehensive Mahalanobis distance is used to evaluate the overall performance changes of composite insulators under different aging conditions. Accelerated aging insulators and naturally aging insulators under each aging condition are considered as samples. Mahalanobis distance is used to measure the distance between samples, taking into account the covariance of the sample data to effectively avoid dimensional differences between different characteristics and accurately describe the similarity between data.

[0050] Step S402 includes: Step A100: Using the change curves of multiple key aging characteristic indicators of the accelerated aging insulator and the naturally aging insulator with respect to aging time, calculate the index parameters of the accelerated aging insulator and the naturally aging insulator respectively. The index parameters include the key aging characteristic indicator vector, the mean vector of each key aging characteristic indicator, and the covariance matrix of each key aging characteristic indicator. Step A200: Calculate the Mahalanobis distance of each of the accelerated aging insulators and each of the naturally aging insulators using the index parameters and the preset second formula; In this embodiment, each accelerated aging insulator or each naturally aging insulator under each aging condition is considered as a sample, and the formula for calculating the Mahalanobis distance is:

[0051] In the formula, Indicates the first Mahalanobis distance of each sample Indicates the first A vector of key aging characteristic indicators for each sample. This represents the mean vector of each key aging characteristic indicator. This represents the inverse matrix of the covariance matrix for each key aging characteristic indicator. express The transpose of .

[0052] Among them, the Mahalanobis distance of samples Including the first Mahalanobis distance of each sample on each key aging characteristic indicator.

[0053] Step A300: Calculate the weighted Mahalanobis distance between each accelerated aging insulator and each naturally aging insulator using the weighting factors corresponding to the key aging characteristic indicators and the Mahalanobis distance; Step A400: Calculate the combined Mahalanobis distance of the accelerated aging insulator and the naturally aging insulator using the weighted Mahalanobis distance.

[0054] In this embodiment, the formula for calculating the combined Mahalanobis distance is:

[0055]

[0056] In the formula, Indicates the first The weighted Mahalanobis distance of each sample. Indicates the first Weighting factors for key aging characteristic indicators, Indicates the first The sample at the th Mahalanobis distance on key aging characteristic indicators Indicates the composite Mahalanobis distance. Indicates the first The weights of each sample.

[0057] The composite Marvin distance includes the composite Marvin distance of accelerated aging insulators and naturally aging insulators under each aging condition.

[0058] Step S403: Calculate the health status index of the naturally aging insulator and the accelerated aging insulator using the combined Mahalanobis distance and the preset first formula.

[0059] In this embodiment, the formula for calculating the health status index is:

[0060] In the formula, Indicates a health status index. This represents the composite Mahalanobis distance.

[0061] Among them, the composite Mahalanobis distance actually represents the overall deviation between the current state and the initial state of the composite insulator. The closer the value is to 1, the healthier the composite insulator. The closer the value is to 0, the more severe the aging of the composite insulator.

[0062] Step S500: Construct a health status index prediction model based on the health status index. The input of the health status index model is the natural environment parameters corresponding to different operating years or the accelerated aging environment parameters corresponding to different acceleration times. In this embodiment, a random forest model is used for data-driven modeling of the aging process of composite insulators. The model is trained using a training set to obtain a health status index model. By inputting the type of composite insulator and corresponding parameters based on that type, the corresponding health status index and comprehensive Mahalanobis distance are obtained. The composite insulator types include naturally aging insulators and accelerated aging insulators. For naturally aging insulators, the number of years of operation and corresponding natural environmental parameters must be input, while for accelerated aging insulators, the acceleration time and corresponding accelerated aging environmental parameters must be input.

[0063] Step S600: Based on the health status index prediction model, perform multi-objective optimization on the equivalent accelerated aging environment parameters and acceleration time of the actual naturally aged composite insulator to obtain the optimal accelerated aging environment parameters and optimal acceleration time of the actual naturally aged composite insulator.

[0064] Step S600 includes: Step S601: Calculate the environmental parameter adjustment coefficient using the natural environmental parameters and the accelerated aging environmental parameters, and use the ratio of the different operating years to the accelerated time as the time acceleration ratio; Step S602: Use the environmental parameter adjustment coefficient and the time acceleration ratio as equivalent parameters; In this embodiment, the formula for the equivalent parameter is:

[0065]

[0066] In the formula, Indicates the time speedup ratio. Indicates the number of years of operation. Indicates acceleration time. This represents the environmental parameter adjustment factor. Represents natural environmental parameters. This represents the equivalent accelerated aging environmental parameters.

[0067] Among them, operating years Actual time represents the actual time required for the natural aging of composite insulators, including accelerated aging. The actual time represents the time of the artificial accelerated aging test.

[0068] Step S603: Use the difference between the health status index corresponding to the natural environmental parameters of the actual naturally aged composite insulator and the health status index corresponding to the equivalent accelerated aging environmental parameters as the objective function. In this embodiment, the comprehensive Mahalanobis distance corresponding to the natural environmental parameters of the actual naturally aged composite insulator and the comprehensive Mahalanobis distance corresponding to the equivalent accelerated aging environmental parameters are also calculated, and the difference between the two is used as another objective function.

[0069] Step S604: With minimizing the objective function as the optimization objective, perform multi-objective optimization on the equivalent accelerated aging environment parameters and acceleration time of the actual naturally aging composite insulator based on the health state index prediction model to obtain the optimal parameters of the actual naturally aging composite insulator. Step S604 includes: Step B100: Obtain the first aging parameters of the actual naturally aged composite insulator, the first aging parameters including natural environmental parameters and years of operation; Step B200: Initialize equivalent parameters; Step B300: Calculate the second aging parameter using the equivalent parameter, the second aging parameter including the accelerated aging environment parameter and acceleration time equivalent to the actual naturally aged composite insulator; Step B400: Input the first aging parameter and the second aging parameter into the health status index prediction model to calculate the corresponding first health status index and second health status index; Step B500: Calculate the function value of the objective function using the first health status index and the second health status index; Step B600: Calculate the adjustment amount using the function value of the objective function and the preset third formula; Step B700: Determine whether the number of iterations has been reached or whether the objective function has converged. If so, stop the iteration and use the second aging parameter as the optimal parameter. Otherwise, adjust the equivalent parameter by the adjustment amount and proceed to the next iteration.

[0070] In this embodiment, the formula for calculating the adjustment amount is:

[0071] In the formula, Indicates the first The adjustment amount of each equivalent parameter, Indicates the first The sensitivity coefficient of each equivalent parameter, This represents the value of the objective function.

[0072] The adjustment amount can be the temperature adjustment and ultraviolet radiation intensity adjustment in the accelerated aging environmental parameters, or the acceleration time adjustment. The equivalent parameters are adjusted to make them equivalent to the natural aging of the composite insulator in the actual naturally aging region.

[0073] Step S605: Obtain the optimal accelerated aging environment parameters and optimal acceleration time equivalent to the actual naturally aged composite insulator through the optimal parameters.

[0074] In summary, this invention comprehensively considers multiple aging factors such as temperature and ultraviolet radiation, and accelerates aging through a multi-factor integrated environmental aging test device, which can more accurately simulate the aging process in actual use environments. Compared with the accelerated aging tests of existing technologies that focus on single or a few factors, this invention can comprehensively reflect the aging effects of multiple environmental factors on composite insulators, improving the real-world relevance of the test results.

[0075] This invention not only achieves equivalence between artificially accelerated aging and natural aging, but also reduces calculation errors through dynamic algorithm adjustment, finding the optimal accelerated aging environment parameters and optimal acceleration time, thus improving the scientific rigor and effectiveness of the test scheme and significantly shortening the test cycle. Compared with traditional natural aging tests, it can obtain test results equivalent to long-term natural aging in a short time, greatly improving test efficiency and saving time and costs. This facilitates better prediction of insulator lifespan, optimization of maintenance strategies, and ultimately, improvement of the overall reliability and economy of the power system.

[0076] Example 2: This embodiment provides an equivalent simulation system for artificially accelerated aging of composite insulators, the system comprising: The acquisition module is used to acquire naturally aged insulators of different service years and the natural environmental parameters of the region where the naturally aged insulators are located; The simulation module is used to conduct an artificial accelerated aging experiment on unaged insulators by simulating the natural environmental parameters to obtain accelerated aged insulators with different aging degrees. The accelerated aging environmental parameters of the artificial accelerated aging experiment include temperature and ultraviolet intensity. The testing module is used to perform performance tests on the accelerated aging insulator and the naturally aging insulator to obtain multiple key aging characteristic indicators and corresponding weighting factors. The calculation module is used to calculate the health status index of the naturally aging insulator and the accelerated aging insulator based on the key aging characteristic indicators and the corresponding weighting factors. The construction module is used to build a health status index prediction model based on the health status index. The input of the health status index model is the natural environment parameters corresponding to different operating years or the accelerated aging environment parameters corresponding to different acceleration times. The optimization module is used to perform multi-objective optimization of the accelerated aging environment parameters and acceleration time equivalent to the actual naturally aged composite insulator based on the health status index prediction model, so as to obtain the optimal accelerated aging environment parameters and optimal acceleration time equivalent to the actual naturally aged composite insulator.

[0077] The testing module includes: The testing unit is used to perform performance tests on the accelerated aging insulator and the naturally aging insulator to obtain multiple characterization indicators corresponding to the performance, including physical and chemical properties, mechanical properties, electrical properties and material properties. The plotting unit is used to plot the curves of the characterization indicators corresponding to the multiple performances, and obtain the curves of the changes of multiple characterization indicators of the accelerated aging insulator and the naturally aging insulator with respect to aging time. The first calculation unit is used to calculate the decay value of each characterization index of the naturally aged insulator through the change curves of multiple characterization indices of the naturally aged insulator with respect to aging time. The second calculation unit is used to calculate the failure judgment result of the characterization index corresponding to the attenuation value through the attenuation value and the failure criterion, and select key aging characteristic indicators according to the failure judgment result. The failure criterion is dynamically adjusted according to the service life of the naturally aging insulator. The third calculation unit is used to calculate the weighting factor for each key aging characteristic indicator using the entropy weighting method and correlation analysis method.

[0078] The computing module includes: The acquisition unit is used to acquire the transformation curves of key aging characteristic indicators, which include the change curves of multiple key aging characteristic indicators of the accelerated aging insulator with respect to aging time and the change curves of multiple key aging characteristic indicators of the naturally aging insulator with respect to aging time. The fourth calculation unit is used to calculate the combined Mahalanobis distance of the accelerated aging insulator and the naturally aging insulator respectively by using the transformation curve of the key aging characteristic index and the weighting factor corresponding to the key aging characteristic index. The fifth calculation unit is used to calculate the health status index of the naturally aging insulator and the accelerated aging insulator using the comprehensive Mahalanobis distance and a preset first formula.

[0079] The optimization module includes: The sixth calculation unit is used to calculate the environmental parameter adjustment coefficient through the natural environmental parameters and the accelerated aging environmental parameters, and to use the ratio of the different operating years to the accelerated time as the time acceleration ratio; The first defining unit is used to take the environmental parameter adjustment coefficient and the time acceleration ratio as equivalent parameters; The second defining unit is used to take the difference between the health status index corresponding to the natural environmental parameters of the actual naturally aged composite insulator and the health status index corresponding to the equivalent accelerated aging environmental parameters as the objective function. The optimization unit is used to perform multi-objective optimization on the equivalent accelerated aging environment parameters and acceleration time of the actual naturally aging composite insulator based on the health state index prediction model, with the objective function minimization as the optimization objective, to obtain the optimal parameters of the actual naturally aging composite insulator. The output unit is used to obtain the optimal accelerated aging environment parameters and the optimal acceleration time equivalent to the actual naturally aged composite insulator through the optimal parameters.

[0080] It should be noted that the specific methods by which each module performs operations in the system described in the above embodiments have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0081] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0082] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for simulating the artificial accelerated aging of composite insulators, characterized in that, include: Obtain the natural environmental parameters of insulators that have aged for different years and the regions where the naturally aged insulators are located; Artificial accelerated aging experiments were conducted on unaged insulators by simulating the natural environmental parameters to obtain accelerated-aged insulators with different aging degrees. The accelerated aging environmental parameters of the artificial accelerated aging experiment included temperature and ultraviolet intensity. Performance tests were conducted on the accelerated aging insulators and the naturally aging insulators to obtain several key aging characteristic indicators and corresponding weighting factors; The health status index of the naturally aging insulator and the accelerated aging insulator is calculated based on the key aging characteristic indicators and the corresponding weighting factors. A health status index prediction model is constructed based on the health status index. The input of the health status index model is the natural environment parameters corresponding to different operating years or the accelerated aging environment parameters corresponding to different acceleration times. Based on the health status index prediction model, the accelerated aging environment parameters and acceleration time equivalent to the actual naturally aged composite insulator are optimized using multiple objectives to obtain the optimal accelerated aging environment parameters and optimal acceleration time equivalent to the actual naturally aged composite insulator.

2. The method for simulating the artificial accelerated aging of composite insulators according to claim 1, characterized in that... The performance tests conducted on the accelerated aging insulators and the naturally aging insulators yielded several key aging characteristic indicators and corresponding weighting factors, including: The accelerated aging insulator and the naturally aging insulator were subjected to performance tests to obtain multiple characterization indicators corresponding to the performance, including physical and chemical properties, mechanical properties, electrical properties and material properties. Curves were plotted on the characterization indicators corresponding to the multiple performance characteristics to obtain the variation curves of multiple characterization indicators of the accelerated aging insulator and the naturally aging insulator with respect to aging time. The decay value of each characterization index of the naturally aged insulator is calculated using the change curves of multiple characterization indices of the naturally aged insulator with respect to aging time. The failure judgment result of the characterization index corresponding to the attenuation value is calculated by the attenuation value and the failure criterion, and key aging characteristic indicators are selected according to the failure judgment result. The failure criterion is dynamically adjusted according to the service life of the naturally aging insulator. The weighting factors for each key aging characteristic indicator were calculated using the entropy weighting method and correlation analysis.

3. The method for artificially accelerated aging equivalent simulation of composite insulators according to claim 2, characterized in that... The calculation of the health status index of the naturally aging insulator and the accelerated aging insulator based on the key aging characteristic indicators and corresponding weighting factors includes: Obtain the transformation curves of key aging characteristic indicators, which include the change curves of multiple key aging characteristic indicators of the accelerated aging insulator with respect to aging time and the change curves of multiple key aging characteristic indicators of the naturally aging insulator with respect to aging time. The combined Mahalanobis distance of the accelerated aging insulator and the naturally aging insulator is calculated using the transformation curve of the key aging characteristic index and the weighting factor corresponding to the key aging characteristic index, respectively. The health status index of the naturally aging insulator and the accelerated aging insulator is calculated using the combined Mahalanobis distance and a preset first formula.

4. The method for simulating the artificial accelerated aging of composite insulators according to claim 3, characterized in that... The step of calculating the combined Mahalanobis distance of the accelerated aging insulator and the naturally aging insulator using the transformation curves of the key aging characteristic indicators and the weighting factors corresponding to the key aging characteristic indicators includes: By using the variation curves of multiple key aging characteristic indicators of the accelerated aging insulator and the naturally aging insulator with respect to aging time, the index parameters of the accelerated aging insulator and the naturally aging insulator are calculated respectively. The index parameters include the key aging characteristic indicator vector, the mean vector of each key aging characteristic indicator, and the covariance matrix of each key aging characteristic indicator. The Mahalanobis distance of each accelerated aging insulator and each naturally aging insulator is calculated using the index parameters and a preset second formula. The weighted Mahalanobis distance between each accelerated aging insulator and each naturally aging insulator is calculated using the weighting factors corresponding to the key aging characteristic indicators and the Mahalanobis distance. The combined Mahalanobis distance of the accelerated aging insulator and the naturally aging insulator is calculated using the weighted Mahalanobis distance.

5. The method for simulating the artificial accelerated aging of composite insulators according to claim 1, characterized in that... The method of performing multi-objective optimization on the accelerated aging environment parameters and acceleration time equivalent to the actual naturally aged composite insulator based on the health status index prediction model, to obtain the optimal accelerated aging environment parameters and optimal acceleration time equivalent to the actual naturally aged composite insulator, includes: The environmental parameter adjustment coefficient is calculated using the natural environmental parameters and the accelerated aging environmental parameters, and the ratio of the different operating years to the accelerated time is used as the time acceleration ratio. The environmental parameter adjustment coefficient and the time acceleration ratio are used as equivalent parameters; The difference between the health status index corresponding to the natural environmental parameters of the actual naturally aged composite insulator and the health status index corresponding to the equivalent accelerated aging environmental parameters is used as the objective function. With minimizing the objective function as the optimization objective, the accelerated aging environment parameters and acceleration time of the actual naturally aging composite insulator are optimized using the health state index prediction model to obtain the optimal parameters of the actual naturally aging composite insulator. The optimal accelerated aging environment parameters and optimal acceleration time are obtained by using the optimal parameters to obtain the equivalent of the actual naturally aged composite insulator.

6. The method for simulating the artificial accelerated aging of composite insulators according to claim 5, characterized in that... The objective is to minimize the objective function. The health state index prediction model is used to perform multi-objective optimization on the equivalent accelerated aging environment parameters and acceleration time of the actual naturally aging composite insulator, resulting in the optimal parameters for the actual naturally aging composite insulator, including: Obtain the first aging parameters of the actual naturally aged composite insulator, the first aging parameters including natural environmental parameters and years of operation; Initialize equivalent parameters; The second aging parameter is calculated using the equivalent parameters, which include the accelerated aging environment parameters and acceleration time equivalent to those of the actual naturally aging composite insulator. The first aging parameter and the second aging parameter are input into the health status index prediction model to calculate the corresponding first health status index and second health status index. The function value of the objective function is calculated using the first health status index and the second health status index; The adjustment amount is calculated using the function value of the objective function and the preset third formula; Determine whether the number of iterations has been reached or whether the objective function has converged. If so, stop the iteration and use the second aging parameter as the optimal parameter. Otherwise, adjust the equivalent parameter using the adjustment amount and proceed to the next iteration.

7. An equivalent simulation system for artificially accelerated aging of composite insulators, characterized in that... ,include: The acquisition module is used to acquire naturally aged insulators of different service years and the natural environmental parameters of the region where the naturally aged insulators are located; The simulation module is used to conduct an artificial accelerated aging experiment on unaged insulators by simulating the natural environmental parameters to obtain accelerated aged insulators with different aging degrees. The accelerated aging environmental parameters of the artificial accelerated aging experiment include temperature and ultraviolet intensity. The testing module is used to perform performance tests on the accelerated aging insulator and the naturally aging insulator to obtain multiple key aging characteristic indicators and corresponding weighting factors. The calculation module is used to calculate the health status index of the naturally aging insulator and the accelerated aging insulator based on the key aging characteristic indicators and the corresponding weighting factors. The construction module is used to build a health status index prediction model based on the health status index. The input of the health status index model is the natural environment parameters corresponding to different operating years or the accelerated aging environment parameters corresponding to different acceleration times. The optimization module is used to perform multi-objective optimization of the accelerated aging environment parameters and acceleration time equivalent to the actual naturally aged composite insulator based on the health status index prediction model, so as to obtain the optimal accelerated aging environment parameters and optimal acceleration time equivalent to the actual naturally aged composite insulator.

8. The artificial accelerated aging equivalent simulation system for composite insulators according to claim 7, characterized in that... The test module includes: The testing unit is used to perform performance tests on the accelerated aging insulator and the naturally aging insulator to obtain multiple performance-related characterization indicators, including physical and chemical properties, mechanical properties, electrical properties and material properties. The plotting unit is used to plot the curves of the characterization indicators corresponding to the multiple performances, and obtain the curves of the changes of multiple characterization indicators of the accelerated aging insulator and the naturally aging insulator with respect to aging time. The first calculation unit is used to calculate the decay value of each characterization index of the naturally aged insulator through the change curves of multiple characterization indices of the naturally aged insulator with respect to aging time. The second calculation unit is used to calculate the failure judgment result of the characterization index corresponding to the attenuation value through the attenuation value and the failure criterion, and select key aging characteristic indicators according to the failure judgment result. The failure criterion is dynamically adjusted according to the service life of the naturally aging insulator. The third calculation unit is used to calculate the weighting factor for each key aging characteristic indicator using the entropy weighting method and correlation analysis method.

9. The artificial accelerated aging equivalent simulation system for composite insulators according to claim 8, characterized in that... The computing module includes: The acquisition unit is used to acquire the transformation curves of key aging characteristic indicators, which include the change curves of multiple key aging characteristic indicators of the accelerated aging insulator with respect to aging time and the change curves of multiple key aging characteristic indicators of the naturally aging insulator with respect to aging time. The fourth calculation unit is used to calculate the combined Mahalanobis distance of the accelerated aging insulator and the naturally aging insulator respectively by using the transformation curve of the key aging characteristic index and the weighting factor corresponding to the key aging characteristic index. The fifth calculation unit is used to calculate the health status index of the naturally aging insulator and the accelerated aging insulator using the comprehensive Mahalanobis distance and a preset first formula.

10. The artificial accelerated aging equivalent simulation system for composite insulators according to claim 7, characterized in that... The optimization module includes: The sixth calculation unit is used to calculate the environmental parameter adjustment coefficient through the natural environmental parameters and the accelerated aging environmental parameters, and to use the ratio of the different operating years to the accelerated time as the time acceleration ratio; The first defining unit is used to take the environmental parameter adjustment coefficient and the time acceleration ratio as equivalent parameters; The second defining unit is used to take the difference between the health status index corresponding to the natural environmental parameters of the actual naturally aged composite insulator and the health status index corresponding to the equivalent accelerated aging environmental parameters as the objective function. The optimization unit is used to perform multi-objective optimization on the equivalent accelerated aging environment parameters and acceleration time of the actual naturally aging composite insulator based on the health state index prediction model, with the objective function minimization as the optimization objective, to obtain the optimal parameters of the actual naturally aging composite insulator. The output unit is used to obtain the optimal accelerated aging environment parameters and the optimal acceleration time equivalent to the actual naturally aged composite insulator through the optimal parameters.

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