Aging performance influencing factor determination method and apparatus for solid insulating material, terminal device, storage medium and aging performance evaluation method

Abstract

Disclosed in the present invention are an aging performance influencing factor determination method and apparatus for a solid insulating material, a terminal device, a storage medium and an aging performance evaluation method. The aging performance influencing factor determination method comprises: on the basis of the number of aging performance influencing factors to be selected of a solid insulating material and the number of corresponding factor levels, determining an orthogonal experimental solution; acquiring the breakdown strength of the insulating material under different factor levels of each of said aging performance influencing factors, the breakdown strength being obtained by means of the orthogonal experimental solution; on the basis of the breakdown strength, calculating the significant effect value of each of said aging performance influencing factors; and comparing the significant effect value of each of said aging performance influencing factors with a preset significance level, and determining, as a selected aging performance influencing factor, an influencing factor the corresponding significant effect value of which is lower than the preset significance level. The present invention can be used to effectively reduce the number of factor determination experiments, thereby saving time and resources.

Description

A method, apparatus, terminal equipment, storage medium, and aging performance evaluation method for determining the influencing factors of aging performance of solid insulating materials. Technical Field

[0001] This invention relates to the field of aging assessment of electrical equipment insulation materials, and in particular to a method, apparatus, terminal equipment, storage medium, and aging performance assessment method for determining the influencing factors of aging performance of solid insulation materials. Background Technology

[0002] Electrical equipment is indispensable in power systems, serving as the most critical factor for the normal operation and transmission of electricity. After prolonged use, the insulating materials in electrical equipment gradually age under the influence of voltage and high temperature, leading to a decline in insulation performance. This aging process is affected by various factors, including electric field strength, temperature, and the inherent properties of the material itself. In studying the aging of insulating materials, traditional single-factor methods observe the impact of changing one influencing factor on the aging rate. However, when multiple influencing factors are involved, this method requires extensive experimentation and struggles to accurately analyze the relative influence of each factor. Summary of the Invention

[0003] This invention provides a method, apparatus, terminal equipment, storage medium, and aging performance evaluation method for determining the influencing factors of the aging performance of solid insulating materials. This method can effectively reduce the number of factor determination experiments, thereby saving time and resources.

[0004] An embodiment of the present invention provides a method for determining the influencing factors of the aging performance of solid insulating materials, comprising:

[0005] The orthogonal experimental scheme was determined by the number of factors affecting the aging performance of solid insulating materials and the number of corresponding factor levels.

[0006] The breakdown strength of insulating materials under different factor levels for each selected aging performance influencing factor was obtained; the breakdown strength of insulating materials under different factor levels for each selected aging performance influencing factor was obtained through an orthogonal experimental scheme.

[0007] Based on the breakdown strength of the insulating material at different factor levels for each selected factor affecting aging performance, the significant impact value of each selected factor affecting aging performance is calculated.

[0008] The significant impact values ​​of each potential aging performance influencing factor are compared with the preset significance level, and the potential aging performance influencing factors corresponding to significant impact values ​​lower than the preset significance level are determined as the selected aging performance influencing factors.

[0009] Furthermore, methods for determining the influencing factors of the aging performance of solid insulating materials also include:

[0010] Based on the breakdown strength of the insulation material at different factor levels according to the selected factors affecting aging performance, calculate the range of each selected factor affecting aging performance.

[0011] The ranges of each selected aging performance influencing factor are sorted in descending order, and the priority of attention for the selected aging performance influencing factors is determined according to the descending order.

[0012] Furthermore, based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor, the significant influence value of each factor is calculated, including:

[0013] Based on the breakdown strength of the insulating material at different factor levels for each selected factor affecting aging performance, calculate the sum of squares of deviations for each selected factor affecting aging performance.

[0014] The total sum of squared errors is calculated based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor and the sum of squared deviations of each selected aging performance influencing factor.

[0015] The mean square error of each factor affecting aging performance is calculated based on the sum of squares of deviations of each factor to be selected and the number of levels of each factor.

[0016] Calculate the total mean square error based on the total sum of squared errors, the number of levels for each factor, and the number of experiments in the orthogonal experimental design.

[0017] Based on the mean square error of each selected factor affecting aging performance and the total mean square error, calculate the mean square ratio of each selected factor affecting aging performance.

[0018] Based on the mean square ratio of each selected aging performance influencing factor, the degree of freedom of each selected aging performance influencing factor, and the preset significance level, the significant influence value of each selected aging performance influencing factor is determined.

[0019] Furthermore, the degrees of freedom for each selected factor affecting aging performance are determined as follows:

[0020] For each factor that is to be selected to affect aging performance, subtract 1 from the number of corresponding factor levels to obtain the degree of freedom of the corresponding factor.

[0021] Based on the above method embodiments, the present invention provides corresponding device embodiments, including: an orthogonal experimental scheme confirmation module, an experimental data acquisition module, a significant influence calculation module, and an influencing factor selection module;

[0022] The orthogonal experimental scheme confirmation module is used to determine the orthogonal experimental scheme by considering the number of factors affecting the aging performance of solid insulating materials and the number of corresponding factor levels.

[0023] The experimental data acquisition module is used to obtain the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor; the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor is obtained through an orthogonal experimental scheme.

[0024] The significant impact calculation module is used to calculate the significant impact value of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels.

[0025] The influencing factor selection module is used to compare the significant impact value of each aging performance influencing factor to be selected with the preset significance level, and to determine the aging performance influencing factor corresponding to the significant impact value below the preset significance level as the selected aging performance influencing factor.

[0026] Furthermore, the device for determining the influencing factors of aging performance of solid insulation materials also includes: a factor priority assessment module;

[0027] The factor priority assessment module includes: a selected factor data selection unit, a selected factor range calculation unit, and a priority determination unit;

[0028] The selected factor data selection unit is used to select the breakdown strength of the insulation material at different factor levels from the breakdown strength of the insulation material under different factor levels of each selected aging performance influencing factor;

[0029] The selected factor range calculation unit is used to calculate the range of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels.

[0030] The priority determination unit is used to sort the ranges of each selected aging performance influencing factor in descending order, and determine the priority of the selected aging performance influencing factor according to the descending order.

[0031] Furthermore, the significant impact calculation module includes: a unit for calculating the sum of squared deviations, a unit for calculating the sum of squared total errors, a unit for calculating the mean square error, a unit for calculating the total mean square error, a unit for calculating the mean square ratio, and a unit for determining the significant impact value;

[0032] The sum of squares calculation unit is used to calculate the sum of squares of deviations of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels.

[0033] The total error sum of squares calculation unit is used to calculate the total error sum of squares based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor and the sum of squares of deviations for each selected aging performance influencing factor.

[0034] The mean square error calculation unit is used to calculate the mean square error of each selected aging performance influencing factor based on the sum of squares of deviations of each factor and the number of levels of each factor.

[0035] The total mean square error calculation unit is used to calculate the total mean square error based on the total sum of squared errors, the number of levels for each factor, and the number of experiments in the orthogonal experimental scheme.

[0036] The mean square ratio calculation unit is used to calculate the mean square ratio of each factor affecting the aging performance to be selected based on the mean square error of each factor and the total mean square error.

[0037] The significant impact value determination unit is used to determine the significant impact value of each selected aging performance influencing factor based on the mean square ratio of each selected aging performance influencing factor, the degree of freedom of each selected aging performance influencing factor, and the preset significance level.

[0038] Based on the above method embodiments, the present invention provides a corresponding terminal device embodiment, including: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the steps of the method for determining the influencing factors of aging performance of solid insulating materials as described in the present invention.

[0039] Based on the above method embodiments, the present invention provides a corresponding storage medium embodiment, including: a stored computer program, which, when the computer program is running, controls the device where the computer-readable storage medium is located to execute the steps of the method for determining the influencing factors of aging performance of solid insulating materials as described in the present invention.

[0040] An embodiment of the present invention provides a method for evaluating the aging performance of solid insulating materials, comprising:

[0041] The actual factor levels of selected aging performance influencing factors of the solid insulating material to be evaluated are obtained; wherein, the selected aging performance influencing factors are determined by a method for determining aging performance influencing factors of solid insulating materials according to an embodiment of the present invention.

[0042] For each selected factor affecting aging performance, the actual factor level is compared with the corresponding preset threshold. If the actual factor level is less than the corresponding preset threshold, the actual factor level receives the corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold, the actual factor level receives the corresponding second preset score. The first preset score for each selected factor affecting aging performance is less than the corresponding second preset score.

[0043] The first or second preset score obtained from the actual levels of all selected aging performance influencing factors is added together to obtain the total aging score of the solid insulation material to be evaluated.

[0044] The total aging score is compared with the preset aging threshold. If the total aging score is greater than the preset aging threshold, the solid insulation material to be evaluated is rated as easy to age. If the total aging score is not greater than the preset aging threshold, the solid insulation material to be evaluated is rated as not easy to age.

[0045] Compared with the prior art, the beneficial effects of this embodiment are as follows:

[0046] This invention determines an orthogonal experimental scheme by considering the number of factors affecting the aging performance of solid insulating materials and the corresponding number of factor levels. Compared to traditional single-factor experiments that require traversing all levels of the factor, orthogonal experimental design can reduce the number of experiments by utilizing the interactions between factors. By analyzing the interactions between factors, the mutual influence between factors can be understood, thereby obtaining comprehensive information while reducing the number of experiments. Next, the breakdown strength of the insulating material at different factor levels for each factor affecting the aging performance is obtained. This data is obtained through the aforementioned orthogonal experimental scheme, thus the analyzed data can fully consider the interactions between factors. Then, based on the breakdown strength of the insulating material at different factor levels for each factor affecting the aging performance, the significant impact value of each factor affecting the aging performance is calculated. The significant impact value of each factor affecting the aging performance is compared with a preset significance level, and the factors corresponding to significant impact values ​​lower than the preset significance level are determined as the selected factors affecting the aging performance.

[0047] In summary, the present invention employs orthogonal experimental design, which can effectively reduce the number of factor determination experiments and identify the factors affecting aging performance, thereby saving time and resources. Attached Figure Description

[0048] Figure 1 is a flowchart illustrating a method for determining the influencing factors of aging performance of solid insulating materials according to an embodiment of the present invention;

[0049] Figure 2 is a trend diagram of the influence of different levels of electric field strength on experimental results provided by an embodiment of the present invention;

[0050] Figure 3 is a trend diagram of the influence of different temperature levels on experimental results provided in an embodiment of the present invention;

[0051] Figure 4 is a trend diagram of the influence of different time levels on experimental results provided in an embodiment of the present invention;

[0052] Figure 5 is a schematic diagram of the device for determining the influencing factors of aging performance of solid insulating materials according to an embodiment of the present invention;

[0053] Figure 6 is a flowchart illustrating a method for evaluating the aging performance of solid insulating materials according to an embodiment of the present invention. Detailed Implementation

[0054] 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 embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] In the description of this invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated.

[0056] As shown in Figure 1, an embodiment of the present invention provides a method for determining the influencing factors of the aging performance of solid insulating materials, the method comprising at least the following steps:

[0057] Step S101: Determine the orthogonal experimental scheme by the number of factors affecting the aging performance of the solid insulating material and the number of corresponding factor levels;

[0058] For step S101, firstly, some factors affecting the aging performance of a solid insulating material are listed. For each factor affecting the aging performance, the possible factor levels of each factor are listed, that is, the different degrees or values ​​of the factor change. Usually, they are divided into several discrete levels. Then, based on the number of factors affecting the aging performance and the number of corresponding factor levels, an orthogonal experimental design method is used to generate an experimental scheme.

[0059] It should be noted that orthogonal experimental design is a statistical method that designs a set of uniformly distributed experimental points so that each influencing factor and factor level can be fully evaluated and the main influencing factors and interactions can be identified.

[0060] In this embodiment, taking silicone rubber as an example, the effects of three selected aging performance influencing factors—electric field strength, temperature, and time—on the electrothermal combined aging of silicone rubber are studied. The electric field strength range is determined to be 6kV / mm-14kV / mm, the temperature range is 120℃-180℃, and the time range is 0.1h-504h. To avoid too many factor combinations, only three levels are considered for each factor. Specifically, 6kV / mm, 10kV / mm, and 14kV / mm in the electric field strength range, 120℃, 150℃, and 180℃ in the temperature range, and 72h, 336h, and 504h in the time range are selected as the factor levels of the selected aging performance influencing factors (as shown in Table 1 below). Then, an electrothermal combined aging experimental scheme for silicone rubber is generated through orthogonal experimental design (as shown in Table 2 below).

[0061] Table 1: Levels of Electrothermal Combined Aging Factors for Silicone Rubber Materials

[0062] Table 2: Electrothermal Combined Aging Test Scheme for Silicone Rubber Materials

[0063] Compared to traditional single-factor analysis methods that require 3×3×3=27 experiments to explore the influence of each factor, this invention employs an orthogonal experimental method. It utilizes orthogonal array design to balance and optimize combinations of different factors and levels, ensuring that each experiment provides unique and useful information and avoiding the repeated collection of identical or similar data. In this embodiment, L9(3) is used. 4 Orthogonal arrays require only 9 experiments, obtaining more information with fewer experiments, thus saving time and resources.

[0064] Step S102: Obtain the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor; wherein, the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor is obtained through an orthogonal experimental scheme;

[0065] For step S102, the experiment is conducted according to the orthogonal experimental scheme obtained in step S101. In this embodiment, to avoid the influence of random factors on the breakdown field strength test results, the experimental order is randomly determined by lottery. Ten samples are tested under the same experimental conditions, and the breakdown strength results of the ten samples are statistically analyzed using the univariate two-parameter Weibull distribution theory to obtain the breakdown strength of silicone rubber under each experimental condition (as shown in Table 3 below). The empty column is set to examine experimental error. After arranging the experimental factors and their interactions in the selected orthogonal array, it is best to have one empty column; otherwise, repeated experiments are required to examine experimental error.

[0066] Table 3: Results of combined electrothermal aging test on silicone rubber materials

[0067] For each selected aging performance influencing factor, the breakdown strength of all factors under different factor levels is summed and averaged to obtain the average breakdown strength of the selected aging performance influencing factor at the corresponding factor level. Based on the average breakdown strength data of each selected aging performance influencing factor, trend graphs of the influence of different levels of electric field strength, temperature and time on the experimental results are plotted (as shown in Figures 2-4).

[0068] Step S103: Calculate the significant impact value of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels.

[0069] In a preferred embodiment, based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor, the significant influence value of each factor is calculated, including:

[0070] Based on the breakdown strength of the insulating material at different factor levels for each selected factor affecting aging performance, calculate the sum of squares of deviations for each selected factor affecting aging performance.

[0071] The total sum of squared errors is calculated based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor and the sum of squared deviations of each selected aging performance influencing factor.

[0072] The mean square error of each factor affecting aging performance is calculated based on the sum of squares of deviations of each factor to be selected and the number of levels of each factor.

[0073] Calculate the total mean square error based on the total sum of squared errors, the number of levels for each factor, and the number of experiments in the orthogonal experimental design.

[0074] Based on the mean square error of each selected factor affecting aging performance and the total mean square error, calculate the mean square ratio of each selected factor affecting aging performance.

[0075] Based on the mean square ratio of each selected aging performance influencing factor, the degree of freedom of each selected aging performance influencing factor, and the preset significance level, the significant influence value of each selected aging performance influencing factor is determined.

[0076] In a preferred embodiment, the degrees of freedom for each selected aging performance influencing factor are determined in the following manner:

[0077] For each factor that is to be selected to affect aging performance, subtract 1 from the number of corresponding factor levels to obtain the degree of freedom of the corresponding factor.

[0078] For step S103, in order to accurately estimate the importance of each factor on the experimental results, analysis of variance was used to study the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor. The analysis of variance table is shown in Table 4.

[0079] Table 4: Analysis of Variance Table

[0080] First, based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor, the sum of squares of deviations for each selected aging performance influencing factor is calculated using the following formula:

[0081] The sum of squared total errors is calculated using the following formula:

[0082] Where SSj represents the sum of squared deviations of the j-th selected aging performance influencing factor, r represents the number of times each level of each selected aging performance influencing factor appears in the orthogonal experimental scheme, k represents the number of factor levels of each selected aging performance influencing factor, and y i Let represent the breakdown strength in the i-th orthogonal experiment, n represent the number of orthogonal experiments, and T represent all y i SSe represents the sum of squared total errors.

[0083] It's important to note that the sum of squares (SMS) measures the contribution of each factor to the variance of the experimental results. By calculating the SMS for each factor, the influence of different factors on the experimental results can be compared. If the SMS for a factor is large, it indicates that the factor contributes significantly to the variance of the experimental results, meaning that the factor has a relatively significant impact on the experimental results. Conversely, if the SMS for a factor is small, it indicates that the factor contributes less significantly to the variance of the experimental results, meaning that the factor has a relatively insignificant impact on the experimental results. The total sum of squares (TSS), on the other hand, represents the total variance of the experimental results. It measures the overall variability of the experimental results, including variability caused by factors other than those investigated in the experiment. By calculating the TSS, we can understand the overall variability of the experimental results and thus determine the relative importance of the investigated factors to the experimental results.

[0084] Then, for each factor to be selected that affects aging performance, the number of corresponding factor levels is reduced by 1 to obtain the degree of freedom of the corresponding factor to be selected that affects aging performance. In this embodiment, the number of factor levels k for each factor is 3, therefore, the degree of freedom k-1 for each factor is 2.

[0085] Next, based on the sum of squared deviations of each selected aging performance influencing factor and the number of levels for each factor, the mean square error of each selected aging performance influencing factor is calculated using the following formula:

[0086] The total mean square error is calculated using the following formula:

[0087] Where MSj represents the mean square error of the j-th aging performance influencing factor to be selected, and MSe represents the total mean square error.

[0088] It should be noted that by calculating the mean square error of each selected factor affecting aging performance, the variance of the experimental results at different factor levels can be reflected. By comparing the mean square errors of different factors, the relative significance of different factors on the experimental results can be determined. By calculating the total mean square error, the total variance of the experimental results can be reflected, measuring the overall degree of variation in the experimental results.

[0089] Based on the mean square error of each selected factor affecting aging performance and the total mean square error, the mean square ratio of each selected factor affecting aging performance is calculated using the following formula:

[0090] Among them, F j The F-value represents the mean square ratio of the j-th selected factor affecting aging performance, also known as the F-value. The F-value is a key indicator for measuring the influence of factors or interactions on the system response. A higher F-value usually means that the relevant factor or its interaction has a significant impact on the system response. By comparing F-values, the importance of the influencing factors and the strength of their interactions can be determined.

[0091] To determine whether a factor has a significant impact on the system response, a significance level α is used; in this embodiment, α = 0.05. Based on the degrees of freedom and total degrees of freedom of each selected aging performance influencing factor, the corresponding cumulative distribution function (CDF) value is calculated using the probability density function of the F-distribution or the F-distribution table. Based on the CDF value, the significant impact value (P-value) is calculated. Then, based on the degrees of freedom k-1 of each selected aging performance influencing factor and the preset significance level (α = 0.05), the F-distribution table is consulted to find the corresponding critical F-value (Fα). The F-value of each selected aging performance influencing factor is compared with the critical F-value (Fα). If the F-value of a factor exceeds this critical value, then with a confidence level of (1-α) × 100%, the change in this factor is considered to have a significant impact on the system response.

[0092] The results of the analysis of variance in this embodiment are shown in Table 5 below:

[0093] Table 5: Results of Analysis of Variance

[0094] Step S104: Compare the significant impact values ​​of each selected aging performance influencing factor with the preset significance level, and determine the selected aging performance influencing factors corresponding to the significant impact values ​​that are lower than the preset significance level as the selected aging performance influencing factors.

[0095] For step S104, the significant impact value (P-value) is an indicator used to measure statistical significance. It reflects the probability of observing the current sample data or more extreme data when the null hypothesis (usually meaning there is no difference between the groups) is true. Determining the P-value requires considering the distribution of the test statistic, the sample data, and the type of test (one-tailed or two-tailed). Therefore, the significant impact values ​​(P-values) of each selected aging performance influencing factor are compared with the preset significance level. When the P-value is lower than the preset significance level (α = 0.05), it indicates that if the null hypothesis is true, the probability of observing the data or more extreme cases is very low. The difference between the two groups can be considered statistically significant; this difference is not accidental and has a probability of less than 5%. Therefore, there is sufficient evidence to reject the null hypothesis, i.e., a significant difference exists between the different groups. In this case, the difference between the two groups is real and significant.

[0096] Table 5 shows that the significance values ​​for electric field strength and aging temperature are 0.031 and 0.047, respectively, but the significance value for aging time is 0.091, which is not statistically significant. This indicates that changes in electric field strength and aging temperature have a significant impact on the aging of silicone rubber samples, while the aging time has no significant impact on the breakdown strength of the samples.

[0097] Based on the above methods for determining the influencing factors of the aging performance of solid insulating materials, it was found that electric field strength and temperature are factors that have a significant impact on the aging performance of silicone rubber materials. Therefore, it can be determined that electric field strength and temperature are the selected influencing factors of the aging performance of silicone rubber materials.

[0098] In a preferred embodiment, the method for determining the influencing factors of the aging performance of solid insulating materials further includes:

[0099] Based on the breakdown strength of the insulation material at different factor levels according to the selected factors affecting aging performance, calculate the range of each selected factor affecting aging performance.

[0100] The ranges of each selected aging performance influencing factor are sorted in descending order, and the priority of attention for the selected aging performance influencing factors is determined according to the descending order.

[0101] In one embodiment of the present invention, after determining the selected factors affecting the aging performance of solid insulating materials, the range (R value) of each selected factor is calculated based on the breakdown strength of the insulating material at different factor levels. In this embodiment, the calculated R value of electric field strength is 1.313333, and the R value of temperature is 0.983333. Next, they are sorted in descending order. According to the descending order, electric field strength has a higher priority among the selected factors affecting aging performance, indicating that electric field strength has a greater impact on the aging performance of solid insulating materials and requires more attention and research.

[0102] As shown in Figure 5, based on the above method embodiments, corresponding device embodiments are provided;

[0103] An embodiment of the present invention provides a device for determining the influencing factors of the aging performance of solid insulating materials, comprising: an orthogonal experimental scheme confirmation module, an experimental data acquisition module, a significant influence calculation module, and an influencing factor selection module;

[0104] The orthogonal experimental scheme confirmation module is used to determine the orthogonal experimental scheme by considering the number of factors affecting the aging performance of solid insulating materials and the number of corresponding factor levels.

[0105] The experimental data acquisition module is used to obtain the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor; the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor is obtained through an orthogonal experimental scheme.

[0106] The significant impact calculation module is used to calculate the significant impact value of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels.

[0107] The influencing factor selection module is used to compare the significant impact value of each aging performance influencing factor to be selected with the preset significance level, and to determine the aging performance influencing factor corresponding to the significant impact value below the preset significance level as the selected aging performance influencing factor.

[0108] In a preferred embodiment, the device for determining the influencing factors of the aging performance of solid insulating materials further includes: a factor priority evaluation module;

[0109] The factor priority assessment module includes: a selected factor data selection unit, a selected factor range calculation unit, and a priority determination unit;

[0110] The selected factor data selection unit is used to select the breakdown strength of the insulation material at different factor levels from the breakdown strength of the insulation material under different factor levels of each selected aging performance influencing factor;

[0111] The selected factor range calculation unit is used to calculate the range of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels.

[0112] The priority determination unit is used to sort the ranges of each selected aging performance influencing factor in descending order, and determine the priority of the selected aging performance influencing factor according to the descending order.

[0113] In a preferred embodiment, the significant impact calculation module includes: a sum of squared deviations calculation unit, a total sum of squared errors calculation unit, a mean squared error calculation unit, a total mean squared error calculation unit, a mean squared ratio calculation unit, and a significant impact value determination unit;

[0114] The sum of squares calculation unit is used to calculate the sum of squares of deviations of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels.

[0115] The total error sum of squares calculation unit is used to calculate the total error sum of squares based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor and the sum of squares of deviations for each selected aging performance influencing factor.

[0116] The mean square error calculation unit is used to calculate the mean square error of each selected aging performance influencing factor based on the sum of squares of deviations of each factor and the number of levels of each factor.

[0117] The total mean square error calculation unit is used to calculate the total mean square error based on the total sum of squared errors, the number of levels for each factor, and the number of experiments in the orthogonal experimental scheme.

[0118] The mean square ratio calculation unit is used to calculate the mean square ratio of each factor affecting the aging performance to be selected based on the mean square error of each factor and the total mean square error.

[0119] The significant impact value determination unit is used to determine the significant impact value of each selected aging performance influencing factor based on the mean square ratio of each selected aging performance influencing factor, the degree of freedom of each selected aging performance influencing factor, and the preset significance level.

[0120] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can implement the method for determining the influencing factors of aging performance of solid insulating materials provided by any of the above-described method embodiments of the present invention.

[0121] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0122] Based on the above embodiments of the method for determining the influencing factors of aging performance of solid insulating materials, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the method for determining the influencing factors of aging performance of solid insulating materials according to any embodiment of the present invention.

[0123] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal device.

[0124] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0125] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal device, connecting various parts of the terminal device via various interfaces and lines.

[0126] Based on the above-described method embodiments, another embodiment is provided: another embodiment of the present invention provides a computer-readable storage medium, including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to execute the method for determining the influencing factors of aging performance of solid insulating materials as described in any of the above-described method embodiments of the present invention.

[0127] The module / unit integrated into the device / terminal equipment for determining the influencing factors of the aging performance of solid insulation materials, if implemented as a software functional unit and sold or used as an independent product, can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0128] As shown in Figure 6, an embodiment of the present invention provides a method for evaluating the aging performance of solid insulating materials, the method comprising at least the following steps:

[0129] Step S201: Obtain the actual factor level of the selected aging performance influencing factors of the solid insulating material to be evaluated; wherein, the selected aging performance influencing factors are determined according to a method for determining the aging performance influencing factors of solid insulating materials provided in an embodiment of the present invention;

[0130] For step S201, according to the method for determining the influencing factors of aging performance of solid insulating materials provided in an embodiment of the present invention, electric field strength and temperature have been determined as selected influencing factors for aging performance evaluation of silicone rubber materials. Now, assuming that an aging performance evaluation of a silicone rubber material in electrical equipment is required, the actual factor levels of the selected influencing factors for aging performance of the silicone rubber material to be evaluated must first be obtained. Assume the electric field strength of the silicone rubber material to be evaluated is 8 kV / mm and the temperature is 168°C.

[0131] Step S202: For each selected aging performance influencing factor, the actual factor level is compared with the corresponding preset threshold. If the actual factor level is less than the corresponding preset threshold, the actual factor level receives the corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold, the actual factor level receives the corresponding second preset score. Wherein, the first preset score of each selected aging performance influencing factor is less than the corresponding second preset score.

[0132] For step S202, assuming a preset threshold of 10 kV / cm for electric field strength and 150℃ for temperature, the actual factor level is compared with the corresponding preset threshold. For electric field strength, since the actual factor level is less than the preset threshold (8 kV / cm < 10 kV / cm), a first preset score (2 points) is obtained. For temperature, since the actual factor level is greater than the preset threshold (168℃ > 150℃), a second preset score (5 points) is obtained. The first preset score for each selected aging performance influencing factor is less than the corresponding second preset score; for example, if the electric field strength is 12 kV / cm, a second preset score (8 points) is obtained. A higher score indicates a higher aging risk for the solid insulating material at that factor level, meaning it is more prone to aging problems. This scoring method allows for a more comprehensive assessment of the aging performance of the solid insulating material and determines its aging risk level in the current state.

[0133] Step S203: Add the first or second preset scores obtained from the actual levels of all selected aging performance influencing factors to obtain the total aging score of the solid insulation material to be evaluated.

[0134] For step S203, the scores of the selected aging performance influencing factors obtained in step S202 are added together to obtain the total aging score (7 points) of the silicone rubber material to be evaluated.

[0135] Step S204: Compare the total aging score with the preset aging threshold. If the total aging score is greater than the preset aging threshold, the state of the solid insulation material to be evaluated is rated as easy to age. If the total aging score is not greater than the preset aging threshold, the state of the solid insulation material to be evaluated is rated as not easy to age.

[0136] For step S204, in this embodiment, assuming an aging threshold of 6 points, the total aging score obtained in step S203 is compared with the preset aging threshold. If the total aging score is greater than the preset aging threshold (7 points > 6 points), it indicates that the silicone rubber material to be evaluated is prone to aging under conditions of an electric field strength of 8 kV / cm and a temperature of 168°C. This means that under these factor levels, the aging risk of the silicone rubber material to be evaluated is high. Through this evaluation method, the aging performance of the silicone rubber material to be evaluated under specific electric field strength and temperature conditions can be determined, and the conclusion that the material is prone to aging under the current condition can be drawn.

[0137] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for determining factors influencing aging performance of solid insulating materials, characterized in that include: The orthogonal experimental scheme was determined by the number of factors affecting the aging performance of solid insulating materials and the number of corresponding factor levels. The breakdown strength of insulating materials under different factor levels for each selected aging performance influencing factor is obtained; wherein, the breakdown strength of insulating materials under different factor levels for each selected aging performance influencing factor is obtained through the orthogonal experimental scheme; Based on the breakdown strength of the insulating material at different factor levels for each of the selected factors affecting aging performance, the significant impact value of each selected factor affecting aging performance is calculated. The significant impact values ​​of each potential aging performance influencing factor are compared with the preset significance level, and the potential aging performance influencing factors corresponding to significant impact values ​​lower than the preset significance level are determined as the selected aging performance influencing factors.

2. The method of claim 1, wherein the solid insulation material aging performance influencing factor determination method is characterized by, Also includes: Based on the breakdown strength of the insulation material at different factor levels according to the selected factors affecting aging performance, calculate the range of each selected factor affecting aging performance. The ranges of each selected aging performance influencing factor are sorted in descending order, and the priority of attention for the selected aging performance influencing factors is determined according to the descending order.

3. The method of claim 2, wherein the solid insulation material aging performance influencing factor determination method is characterized by, Based on the breakdown strength of the insulating material at different factor levels for each selected aging performance influencing factor, the significant influence value of each factor is calculated, including: Based on the breakdown strength of the insulating material at different factor levels for each of the selected factors affecting aging performance, calculate the sum of squares of deviations for each of the selected factors affecting aging performance. The total sum of squared errors is calculated based on the breakdown strength of the insulating material at different factor levels for each of the selected factors affecting aging performance and the sum of squared deviations of each of the selected factors affecting aging performance. The mean square error of each selected aging performance influencing factor is calculated based on the sum of squares of deviations of each factor and the number of levels of each factor. The total mean square error is calculated based on the total sum of squared errors, the number of levels for each factor, and the number of experiments in the orthogonal experimental design. Based on the mean square error of each of the selected factors affecting aging performance and the total mean square error, calculate the mean square ratio of each selected factor affecting aging performance. Based on the mean square ratio of each selected aging performance influencing factor, the degree of freedom of each selected aging performance influencing factor, and the preset significance level, the significant influence value of each selected aging performance influencing factor is determined.

4. The method of claim 3, wherein the solid insulation material aging performance influencing factor determination method is characterized by, The degrees of freedom for each of the selected factors affecting aging performance are determined in the following manner: For each factor that is to be selected to affect aging performance, subtract 1 from the number of corresponding factor levels to obtain the degree of freedom of the corresponding factor.

5. A device for determining factors influencing aging properties of solid insulating materials, characterized in that include: The module includes an orthogonal experimental design confirmation module, an experimental data acquisition module, a significant impact calculation module, and an influencing factor selection module. The orthogonal experimental scheme confirmation module is used to determine the orthogonal experimental scheme by the number of factors affecting the aging performance of the solid insulating material and the number of corresponding factor levels. The experimental data acquisition module is used to acquire the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor; wherein, the breakdown strength of the insulating material under different factor levels for each selected aging performance influencing factor is obtained through the orthogonal experimental scheme; The significant impact calculation module is used to calculate the significant impact value of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels. The influencing factor selection module is used to compare the significant influence value of each aging performance influencing factor to be selected with a preset significance level, and to determine the aging performance influencing factor corresponding to the significant influence value below the preset significance level as the selected aging performance influencing factor.

6. The solid insulation aging performance influence factor determination apparatus according to claim 5, characterized by, Also includes: Factor Priority Assessment Module; The factor priority evaluation module includes: a selected factor data selection unit, a selected factor range calculation unit, and a focus priority determination unit; The selected factor data selection unit is used to select the breakdown strength of the insulating material under different factor levels of the selected aging performance influencing factors from the breakdown strength of the insulating material under different factor levels of each selected aging performance influencing factor. The selected factor range calculation unit is used to calculate the range of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels. The attention priority determination unit is used to sort the range of each selected aging performance influencing factor in descending order, and determine the attention priority of the selected aging performance influencing factor according to the descending order.

7. The solid insulation aging performance influence factor determination apparatus according to claim 6, characterized in that, The significant impact calculation module includes: a unit for calculating the sum of squared deviations, a unit for calculating the sum of squared total errors, a unit for calculating the mean square error, a unit for calculating the total mean square error, a unit for calculating the mean square ratio, and a unit for determining the significant impact value; The sum of squares calculation unit is used to calculate the sum of squares of deviations of each selected aging performance influencing factor based on the breakdown strength of the insulating material at different factor levels. The total error sum of squares calculation unit is used to calculate the total error sum of squares based on the breakdown strength of the insulating material at different factor levels of each of the selected aging performance influencing factors and the sum of squares of deviations of each of the selected aging performance influencing factors. The mean square error calculation unit is used to calculate the mean square error of each selected aging performance influencing factor based on the sum of squares of deviations of each selected aging performance influencing factor and the number of levels of each factor. The total mean square error calculation unit is used to calculate the total mean square error based on the total sum of squared errors, the number of levels for each factor, and the number of experiments in the orthogonal experimental scheme. The mean square ratio calculation unit is used to calculate the mean square ratio of each selected aging performance influencing factor based on the mean square error of each selected aging performance influencing factor and the total mean square error. The significant impact value determination unit is used to determine the significant impact value of each selected aging performance influencing factor based on the mean square ratio of each selected aging performance influencing factor, the degree of freedom of each selected aging performance influencing factor, and a preset significance level.

8. A terminal device, comprising: include: The processor, the memory, and the computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements the method for determining the influencing factors of aging performance of solid insulating materials as described in any one of claims 1-4.

9. A computer-readable storage medium, characterized in that, include: A stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable storage medium to perform the method for determining the influencing factors of aging performance of solid insulating materials as described in any one of claims 1-4.

10. A method for evaluating the aging performance of a solid insulating material, characterized by, include: Obtain the actual factor level of the selected aging performance influencing factors of the solid insulating material to be evaluated; wherein, the selected aging performance influencing factors are determined according to the method for determining the aging performance influencing factors of solid insulating materials according to any one of claims 1-4; For each selected factor affecting aging performance, the actual factor level is compared with the corresponding preset threshold. If the actual factor level is less than the corresponding preset threshold, the actual factor level receives the corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold, the actual factor level receives the corresponding second preset score. The first preset score for each selected factor affecting aging performance is less than the corresponding second preset score. The first or second preset score obtained from the actual levels of all selected aging performance influencing factors is added together to obtain the total aging score of the solid insulation material to be evaluated. The total aging score is compared with a preset aging threshold. If the total aging score is greater than the preset aging threshold, the solid insulation material to be evaluated is rated as easy to age. If the total aging score is not greater than the preset aging threshold, the solid insulation material to be evaluated is rated as not easy to age.

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