A method and device for determining factors affecting the aging performance of a solid insulating material, a terminal device, a storage medium, and an aging performance evaluation method

Abstract

The application discloses a kind of solid insulation material aging performance influence factor determination method, device, terminal equipment, storage medium and aging performance evaluation method, and aging performance influence factor determination method includes: by the number of selected aging performance influence factor of solid insulation material and the number of corresponding factor level, determine orthogonal experiment scheme;Obtain the breakdown strength of insulation material under different factor levels of each selected aging performance influence factor;Wherein, breakdown strength is obtained by orthogonal experiment scheme;According to breakdown strength, the significant influence value of each selected aging performance influence factor is calculated;The significant influence value of each selected aging performance influence factor is compared with the preset significance level, and the influence factor corresponding to the significant influence value lower than the preset significance level is determined as selected aging performance influence factor. By implementing the application, the number of factor determination experiment can be effectively reduced, so as to save time and resources.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of electrical equipment insulation material aging evaluation, and in particular to a solid insulation material aging performance influence factor determination method and device, a terminal device, a storage medium, and an aging performance evaluation method. BACKGROUND

[0002] Electrical equipment is indispensable in power systems, and they are the most critical factor for normal operation and transmission of electricity. After long-term use, the insulation material in electrical equipment will gradually age under the influence of voltage and high temperature, resulting in a decline in insulation performance. This aging process is influenced by factors such as electric field strength, temperature, and material performance. In the process of studying the aging of insulation materials, the traditional single-factor method observes the influence of a single factor on the aging rate by changing it. However, this method requires a large number of experiments when multiple influencing factors are involved, and it is difficult to accurately analyze the relative influence of each factor. SUMMARY

[0003] The embodiments of the present application provide a solid insulation material aging performance influence factor determination method, device, terminal device, storage medium, and aging performance evaluation method, which can effectively reduce the number of factor determination experiments, thereby saving time and resources.

[0004] An embodiment of the present application provides a solid insulation material aging performance influence factor determination method, comprising:

[0005] determining an orthogonal experiment scheme according to the number of selected aging performance influence factors and the number of corresponding factor levels;

[0006] obtaining the breakdown strength of the insulation material under different factor levels of each selected aging performance influence factor, wherein the breakdown strength of the insulation material under different factor levels of each selected aging performance influence factor is obtained through the orthogonal experiment scheme;

[0007] calculating the significant influence value of each selected aging performance influence factor according to the breakdown strength of the insulation material under different factor levels of each selected aging performance influence factor;

[0008] comparing the significant influence value of each selected aging performance influence factor with a preset significance level, and determining the selected aging performance influence factor corresponding to the significant influence value lower than the preset significance level as the selected aging performance influence factor.

[0009] Further, the solid insulation material aging performance influence factor determination method further comprises:

[0010] According to the breakdown strength of the insulation material under different factor levels of the selected aging performance influencing factors, the range of each selected aging performance influencing factor is calculated;

[0011] The magnitudes of the ranges of the selected aging performance influencing factors are sorted in descending order, and the attention priorities of the selected aging performance influencing factors are determined according to the descending sort order.

[0012] Furthermore, according to the breakdown strength of the insulation material at different levels of each of the factors affecting the aging performance to be selected, the significant influence value of each factor is calculated, including:

[0013] Calculate the sum of squares of deviations of the various aging performance influencing factors to be selected based on the breakdown strength of the insulating material at different factor levels;

[0014] Calculate the total error sum of squares based on the breakdown strength of the insulating material at different levels of each of the aging performance influencing factors to be selected and the sum of squares of the deviations of each of the aging performance influencing factors to be selected;

[0015] Calculate the mean square error of each of the aging performance influencing factors to be selected based on the sum of squares of the deviations of each of the aging performance influencing factors to be selected and the number of levels of each factor;

[0016] The total mean square error was calculated based on the total sum of squared errors, the number of levels of each factor, and the number of experiments in the orthogonal experimental scheme;

[0017] Calculating the mean square ratio of each of the aging performance influencing factors to be selected based on the mean square error of each of the aging performance influencing factors to be selected and the total mean square error;

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

[0019] Furthermore, the degrees of freedom of each of the factors affecting aging performance to be selected are determined by the following method:

[0020] For each aging performance influencing factor to be selected, the number of the corresponding factor levels is subtracted by 1 to obtain the degree of freedom of the corresponding aging performance influencing factor to be selected.

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

[0022] An orthogonal experiment plan confirmation module is used to determine the orthogonal experiment plan according to the number of factors influencing the aging performance of the solid insulation material to be selected and the number of corresponding factor levels;

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

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

[0025] 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 determine the aging performance influencing factor to be selected corresponding to the significant influence value lower than the preset significance level as the selected aging performance influencing factor.

[0026] Furthermore, the device for determining factors affecting aging performance of solid insulating materials further includes: a factor priority evaluation module;

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

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

[0029] A selected factor range calculation unit is used to calculate the range of each selected aging performance influencing factor according to the breakdown strength of the insulation material at different factor levels of the selected aging performance influencing factor;

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

[0031] Furthermore, the significant influence calculation module includes: a deviation square sum calculation unit, a total error square sum calculation unit, a mean square error calculation unit, a total mean square error calculation unit, a mean square ratio calculation unit, and a significant influence value determination unit;

[0032] a deviation sum of squares calculation unit, configured to calculate the deviation sum of squares of each aging performance influencing factor to be selected based on the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected;

[0033] a total error square sum calculation unit, configured to calculate the total error square sum based on the breakdown strength of the insulating material at different factor levels of each of the to-be-selected aging performance influencing factors and the square sum of the deviations of each of the to-be-selected aging performance influencing factors;

[0034] a mean square error calculation unit, configured to calculate the mean square error of each of the aging performance influencing factors to be selected based on the sum of squares of deviations of each of the aging performance influencing factors to be selected and the number of levels of each factor;

[0035] A total mean square error calculation unit is used to calculate the total mean square error according to the total error square sum, the number of each factor level and the number of experiments of the orthogonal experimental scheme;

[0036] a mean square ratio calculation unit, configured to calculate the mean square ratio of each aging performance influencing factor to be selected based on the mean square error of each aging performance influencing factor to be selected and the total mean square error;

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

[0038] Based on the above-mentioned method embodiment, 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, the steps of the method for determining the factors affecting the aging performance of solid insulating materials as described in the present invention are implemented.

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

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

[0041] Obtaining an actual factor level of a selected aging performance influencing factor of a solid insulating material to be evaluated; wherein the selected aging performance influencing factor is determined according to a method for determining an aging performance influencing factor of a solid insulating material provided by an embodiment of the present invention;

[0042] For each selected aging performance influencing factor, the actual factor level is compared with the corresponding preset threshold value. If the actual factor level is less than the corresponding preset threshold value, the actual factor level is assigned a corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold value, the actual factor level is assigned a corresponding second preset score. The first preset score of each selected aging performance influencing factor is less than the corresponding second preset score.

[0043] Adding the first preset scores or the second preset scores obtained from the actual levels of all selected aging performance influencing factors to obtain a 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 state of the solid insulating 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 insulating material to be evaluated is rated as not easy to age.

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

[0046] The present invention determines the orthogonal experimental scheme by the number of factors to be selected that affect the aging performance of solid insulating materials and the number of corresponding factor levels. Compared with the traditional single factor that needs to traverse all levels of the factors, the orthogonal experimental design can use the interaction between factors to reduce the number of experiments. By analyzing the interaction between factors, the mutual influence between factors can be understood, thereby obtaining comprehensive information while reducing the number of experiments; then, the breakdown strength of the insulating material at different factor levels of each factor to be selected that affects the aging performance is obtained. These data are obtained through the above-mentioned orthogonal experimental scheme, so the analyzed data can fully take into account the interaction between factors; then, according to the breakdown strength of the insulating material at different factor levels of each factor to be selected that affects the aging performance, the significant influence value of each factor to be selected that affects the aging performance is calculated, the significant influence value of each factor to be selected that affects the aging performance is compared with the preset significance level, and the factor corresponding to the significant influence value lower than the preset significance level is determined as the selected aging performance influencing factor.

[0047] In summary, the present invention adopts orthogonal experimental design, which can effectively reduce the number of factor determination experiments and determine the factors affecting aging performance, thereby saving time and resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 1 is a flow chart of a method for determining factors affecting aging performance of solid insulating materials provided by one embodiment of the present invention;

[0049] Figure 2is a trend chart of the influence of different levels on experimental results under electric field intensity provided by an embodiment of the present application;

[0050] Figure 3 is a trend chart of the influence of different levels on experimental results under temperature provided by an embodiment of the present application;

[0051] Figure 4 is a trend chart of the influence of different levels on experimental results under time provided by an embodiment of the present application;

[0052] Figure 5 is a structural schematic diagram of a solid insulation material aging performance influence factor determination device provided by an embodiment of the present application;

[0053] Figure 6 is a flow schematic diagram of a solid insulation material aging performance evaluation method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0055] In the description of the present application, it should be understood that the terms "first", "second" are only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features.

[0056] As shown in Figure 1 An embodiment of the present application provides a solid insulation material aging performance influence factor determination method, which at least includes the following steps:

[0057] Step S101: determining an orthogonal experiment scheme through the number of selected solid insulation material aging performance influence factors and the number of corresponding factor levels;

[0058] For step S101, first, some selected solid insulation material aging performance influence factors are listed, for each selected solid insulation material aging performance influence factor, the possible factor levels of each influence factor, i.e. the different degrees or values of the influence factor change, are listed, usually divided into several discrete levels, then according to the number of selected solid insulation material aging performance influence factors and the number of corresponding factor levels, an experiment scheme is generated using an orthogonal experiment design method.

[0059] It should be noted that orthogonal experimental design is a statistical method that designs a set of evenly 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 material as an example, the effects of the three aging performance influencing factors to be selected, namely, electric field intensity, temperature and time, on the electrothermal aging of silicone rubber material are studied. The range of electric field intensity is determined to be 6 kV / mm-14 kV / mm, the range of temperature is 120°C-180°C, and the range of time is 0.1h-504h. In order to avoid too many factor combinations, only three levels are considered for each factor. Specifically, 6 kV / mm, 10 kV / mm and 14 kV / mm in the electric field intensity range, 120°C, 150°C and 180°C 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, the electrothermal combined aging experimental scheme of silicone rubber material is generated by orthogonal experimental design (as shown in Table 2 below).

[0061] Table 1: Electric and thermal combined aging factor level table for silicone rubber materials

[0062]

[0063]

[0064] Table 2: Electric and thermal combined aging test plan for silicone rubber materials

[0065] Experiment No. Electric field strength temperature time Experimental indicators 1 1 1 1 <![CDATA[y1]]> 2 1 2 2 <![CDATA[y2]]> 3 1 3 3 <![CDATA[y3]]> 4 2 1 2 <![CDATA[y4]]> 5 2 2 3 <![CDATA[y5]]> 6 2 3 1 <![CDATA[y6]]> 7 3 1 3 <![CDATA[y7]]> 8 3 2 1 <![CDATA[y8]]> 9 3 3 2 <![CDATA[y9]]> <![CDATA[k1]]> <![CDATA[(y1+y2+y3) / 3]]> <![CDATA[(y1+y4+y7) / 3]]> <![CDATA[(y1+y6+y8) / 3]]> <![CDATA[k2]]> <![CDATA[(y4+y5+y6) / 3]]> <![CDATA[(y2+y5+y8) / 3]]> <![CDATA[(y2+y4+y9) / 3]]> <![CDATA[k3]]> <![CDATA[(y7+y8+y9) / 3]]> <![CDATA[(y3+y6+y9) / 3]]> <![CDATA[(y3+y5+y7) / 3]]> R <![CDATA[max(k i )-mink i )]]> <![CDATA[max(k i )-mink i )]]> <![CDATA[max(k i )-mink i )]]>

[0066] Compared with the traditional single factor analysis method, which requires 3×3×3=27 experiments to explore the influence of each factor, the present invention adopts an orthogonal experimental method, which uses the design of an orthogonal table to balance and optimize the combination of different factors and levels, ensuring that each experiment can provide unique and useful information and avoid repeated collection of the same or similar data. In this embodiment, L9(3 4 ) orthogonal array, only 9 experiments are needed, and more information can be obtained in a fewer number of experiments, thus saving time and resources.

[0067] Step S102: Obtaining the breakdown strength of the insulating material at different levels of each of the to-be-selected aging performance influencing factors; wherein the breakdown strength of the insulating material at different levels of each of the to-be-selected aging performance influencing factors is obtained through an orthogonal experimental scheme;

[0068] For step S102, an 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 drawing lots. 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 the silicone rubber under each experimental condition (as shown in Table 3 below). Among them, the blank column is set to examine the experimental error. After the selected orthogonal table arranges the experimental factors and their interactions, it is best to have one blank column. Otherwise, repeated experiments are required to examine the experimental error.

[0069] Table 3: Results of electric and thermal combined aging test on silicone rubber materials

[0070] Experiment No. Electric field strength temperature time empty column Breakdown strength / kV / mm 1 1 1 1 1 25.77 2 1 2 2 2 26.08 3 1 3 3 3 24.29 4 2 1 2 3 25.53 5 2 2 3 1 24.65 6 2 3 1 2 24.53 7 3 1 3 2 24.15 8 3 2 1 3 24.37 9 3 3 2 1 23.68 <![CDATA[k1]]> 25.38 25.15 24.89 <![CDATA[k2]]> 24.90333 25.03333 25.09667 [ k3 ] 24.06667 24.16667 24.36333 R 1.313333 0.983333 0.733333

[0071] For each aging performance influencing factor to be selected, all breakdown strengths of the aging performance influencing factor to be selected at different factor levels are summed and averaged to obtain the average breakdown strength of the selected aging performance influencing factor at the corresponding factor level. According to the average breakdown strength data of each aging performance influencing factor to be selected, trend diagrams of the influence of different levels of electric field intensity, temperature and time on the experimental results are drawn respectively (such as Figure 2-Figure 4 ).

[0072] Step S103: calculating the significant influence value of each to-be-selected aging performance influencing factor according to the breakdown strength of the insulating material at different factor levels of each to-be-selected aging performance influencing factor;

[0073] In a preferred embodiment, the significant influence value of each factor is calculated based on the breakdown strength of the insulating material at different levels of each of the selected aging performance influencing factors, including:

[0074] Calculate the sum of squares of deviations of the various aging performance influencing factors to be selected based on the breakdown strength of the insulating material at different factor levels;

[0075] Calculate the total error sum of squares based on the breakdown strength of the insulating material at different levels of each of the aging performance influencing factors to be selected and the sum of squares of the deviations of each of the aging performance influencing factors to be selected;

[0076] Calculate the mean square error of each of the aging performance influencing factors to be selected based on the sum of squares of the deviations of each of the aging performance influencing factors to be selected and the number of levels of each factor;

[0077] The total mean square error was calculated based on the total sum of squared errors, the number of levels of each factor, and the number of experiments in the orthogonal experimental scheme;

[0078] Calculating the mean square ratio of each of the aging performance influencing factors to be selected based on the mean square error of each of the aging performance influencing factors to be selected and the total mean square error;

[0079] The significant influence value of each aging performance influencing factor to be selected is determined according to the mean square ratio of each aging performance influencing factor to be selected, the degree of freedom of each aging performance influencing factor to be selected, and the preset significance level.

[0080] In a preferred embodiment, the degree of freedom of each aging performance influencing factor to be selected is determined by:

[0081] For each aging performance influencing factor to be selected, the number of the corresponding factor levels is subtracted by 1 to obtain the degree of freedom of the corresponding aging performance influencing factor to be selected.

[0082] In step S103, in order to accurately estimate the importance of each factor in affecting the experimental results, variance analysis is used to study the breakdown strength of the insulating material at different levels of each selected aging performance influencing factor. The variance analysis table is shown in Table 4.

[0083] Table 4: ANOVA table

[0084]

[0085] First, according to the breakdown strength of the insulation material at different levels of each of the aging performance influencing factors to be selected, the sum of squares of the deviations of each of the aging performance influencing factors to be selected is calculated by the following formula:

[0086]

[0087] The total sum of squared errors is calculated using the following formula:

[0088]

[0089] Where SSj represents the sum of squares of the deviations of the jth aging performance influencing factor to be selected, r represents the number of occurrences of each level of each aging performance influencing factor to be selected in the orthogonal experimental scheme, k represents the number of factor levels of each aging performance influencing factor to be selected, and y i represents the breakdown strength in the i-th orthogonal experiment, n represents the number of orthogonal experiments, and T represents all y i SSe represents the total sum of squared errors.

[0090] It should be noted that the sum of squared deviations is used to measure the contribution of each factor to the variance of the experimental results. By calculating the sum of squared deviations for each factor, we can compare the degree of influence of different factors on the experimental results. If the sum of squared deviations of a factor is large, it means that the factor contributes more to the variance of the experimental results, that is, the factor has a relatively significant impact on the experimental results. Conversely, if the sum of squared deviations of a factor is small, it means that the factor contributes less to the variance of the experimental results, that is, the factor has a relatively insignificant impact on the experimental results. The total error sum of squares is the total variance of the experimental results. It can measure the overall variation of the experimental results, including variation caused by factors other than the factors investigated in the experiment. By calculating the total error sum of squares, we can understand the overall variation of the experimental results and then judge the relative importance of the factors investigated to the experimental results.

[0091] Then, for each aging performance influencing factor to be selected, the number of corresponding factor levels is subtracted by 1 to obtain the degree of freedom of the corresponding aging performance influencing factor to be selected. In this embodiment, the number k of factor levels of each factor is 3, so the degree of freedom k-1 of each factor is 2.

[0092] Next, based on the sum of squares of the deviations of the factors influencing aging performance to be selected and the number of levels of each factor, the mean square error of the factors influencing aging performance to be selected is calculated using the following formula:

[0093]

[0094] The total mean square error is calculated using the following formula:

[0095]

[0096] Among them, MSj represents the mean square error of the jth aging performance influencing factor to be selected, and MSe represents the total mean square error.

[0097] It should be noted that calculating the mean square error (MSE) of each selected factor affecting aging performance can reflect the variance of the experimental results at different factor levels. By comparing the MSEs of different factors, the relative significance of different factors on the experimental results can be determined. Calculating the total MSE reflects the total variance of the experimental results and measures the overall degree of variation in the experimental results.

[0098] According to the mean square error of each aging performance influencing factor to be selected and the total mean square error, the mean square ratio of each aging performance influencing factor to be selected is calculated by the following formula:

[0099]

[0100] Among them, F jF value of the jth candidate aging performance influencing factor, also called F value. The F value is a key index for measuring the influence of a factor or interaction on system response. A higher F value usually means that the related factor or interaction has a significant influence on system response. By comparing F values, the importance of a factor and the strength of its interaction can be determined.

[0101] To determine whether a factor has a significant influence on system response, a significance level a is used, in this embodiment, a = 0.05. According to the degrees of freedom of each candidate aging performance influencing factor and the total degrees of freedom, the cumulative distribution function (CDF) value is calculated using the probability density function of F distribution or F distribution table. According to the CDF value, the significant influence value (P value) is calculated. Then, according to the degrees of freedom k-1 of each candidate aging performance influencing factor and the preset significance level (a = 0.05), the F distribution table is searched to find the corresponding F critical value (Fa). The F value of each candidate aging performance influencing factor is compared with the F critical value (Fa). If the F value of a factor exceeds the critical value, there is a (1-a) x 100% confidence that the change of the factor has a significant influence on system response.

[0102] The variance analysis result in this embodiment is shown in Table 5 below:

[0103] Table 5: Variance analysis result table

[0104]

[0105]

[0106] Step S104: Compare the significant influence value of each candidate aging performance influencing factor with the preset significance level, and determine the candidate aging performance influencing factor corresponding to the significant influence value lower than the preset significance level as the selected aging performance influencing factor.

[0107] In step S104, the significant effect 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 if the null hypothesis (usually indicating no difference between the groups) is true. The determination of the P value requires consideration of the distribution of the test statistic, the sample data, and the type of test (one-tailed test or two-tailed test). Therefore, the significant effect value (P value) of each selected aging performance influencing factor is compared with the preset significance level. When the P value is lower than the pre-set significance level (α = 0.05), it indicates that if the null hypothesis is true, the probability of the observed data or more extreme cases occurring is very low. It can be considered that the difference between the two groups of data is statistically significant. This difference is not caused by chance and has a probability of occurrence of less than 5%. Therefore, there is sufficient evidence to reject the null hypothesis, that is, it is considered that there is a significant difference between the different groups. In this case, the difference between the two groups of data is real and significant.

[0108] From Table 5, we can see that the significance value of electric field intensity is 0.031, which is significant, and the significance value of aging temperature is 0.047, which is also significant, but the significance value of aging time is 0.091, which is not statistically significant. This shows that changes in electric field intensity and aging temperature have a significant effect on the aging of silicone rubber samples, while the aging time has no significant effect on the breakdown strength of the samples.

[0109] Through the above method for determining the factors affecting the aging performance of solid insulating materials, it is 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 factors affecting the aging performance of silicone rubber materials.

[0110] In a preferred embodiment, the method for determining factors affecting the aging performance of solid insulating materials further includes:

[0111] According to the breakdown strength of the insulation material under different factor levels of the selected aging performance influencing factors, the range of each selected aging performance influencing factor is calculated;

[0112] The magnitudes of the ranges of the selected aging performance influencing factors are sorted in descending order, and the attention priorities of the selected aging performance influencing factors are determined according to the descending sort order.

[0113] In one embodiment of the present invention, after determining the selected aging performance influencing factors of the solid insulating material, the range (R value) of each selected aging performance influencing factor is calculated according to the breakdown strength of the insulating material at different factor levels of the selected aging performance influencing factors. In this embodiment, the calculated R value of the electric field strength is 1.313333, and the R value of the temperature is 0.983333. Next, they are sorted in descending order. According to the result of the descending sorting, the electric field strength has a higher priority of attention among the selected aging performance influencing factors, indicating that the electric field strength has a greater impact on the aging performance of the solid insulating material and requires more attention and research.

[0114] like Figure 5 As shown, based on the above method embodiment, a corresponding device embodiment is provided;

[0115] An embodiment of the present invention provides a device for determining factors affecting aging performance of solid insulating materials, comprising: an orthogonal experiment scheme confirmation module, an experiment data acquisition module, a significant impact calculation module, and an influencing factor selection module;

[0116] An orthogonal experiment plan confirmation module is used to determine the orthogonal experiment plan according to the number of factors influencing the aging performance of the solid insulation material to be selected and the number of corresponding factor levels;

[0117] An experimental data acquisition module is used to obtain the breakdown strength of the insulating material under different factor levels of each of the to-be-selected aging performance influencing factors; wherein the breakdown strength of the insulating material under different factor levels of each of the to-be-selected aging performance influencing factors is obtained through an orthogonal experimental scheme;

[0118] A significant impact calculation module is used to calculate the significant impact value of each aging performance influencing factor to be selected based on the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected;

[0119] 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 determine the aging performance influencing factor to be selected corresponding to the significant influence value lower than the preset significance level as the selected aging performance influencing factor.

[0120] In a preferred embodiment, the device for determining factors affecting aging performance of solid insulating materials further includes: a factor priority evaluation module;

[0121] The factor priority evaluation module includes: a selected factor data selection unit, a selected factor range calculation unit, and a focus priority determination unit;

[0122] A selected factor data selection unit is used to select the breakdown strength of the insulating material at different factor levels of the selected aging performance influencing factor from the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected;

[0123] A selected factor range calculation unit is used to calculate the range of each selected aging performance influencing factor according to the breakdown strength of the insulation material at different factor levels of the selected aging performance influencing factor;

[0124] The attention priority determination unit is used to sort the ranges of the selected aging performance influencing factors in descending order, and determine the attention priority of the selected aging performance influencing factors according to the descending order.

[0125] In a preferred embodiment, the significant influence calculation module includes: a deviation square sum calculation unit, a total error square sum calculation unit, a mean square error calculation unit, a total mean square error calculation unit, a mean square ratio calculation unit, and a significant influence value determination unit;

[0126] a deviation sum of squares calculation unit, configured to calculate the deviation sum of squares of each aging performance influencing factor to be selected based on the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected;

[0127] a total error square sum calculation unit, configured to calculate the total error square sum based on the breakdown strength of the insulating material at different factor levels of each of the to-be-selected aging performance influencing factors and the square sum of the deviations of each of the to-be-selected aging performance influencing factors;

[0128] a mean square error calculation unit, configured to calculate the mean square error of each of the aging performance influencing factors to be selected based on the sum of squares of deviations of each of the aging performance influencing factors to be selected and the number of levels of each factor;

[0129] A total mean square error calculation unit is used to calculate the total mean square error according to the total error square sum, the number of each factor level and the number of experiments of the orthogonal experimental scheme;

[0130] a mean square ratio calculation unit, configured to calculate the mean square ratio of each aging performance influencing factor to be selected based on the mean square error of each aging performance influencing factor to be selected and the total mean square error;

[0131] The significant influence value determination unit is used to determine the significant influence value of each aging performance influencing factor to be selected according to the mean square ratio of each aging performance influencing factor to be selected, the degree of freedom of each aging performance influencing factor to be selected and the preset significance level.

[0132] It can be understood that the above-mentioned device embodiment corresponds to the method embodiment of the present invention, which can implement the method for determining the factors affecting the aging performance of solid insulating materials provided by any of the above-mentioned method embodiments of the present invention.

[0133] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. Furthermore, in the drawings of the device embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which may be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement the present invention without inventive effort.

[0134] Based on the above-mentioned embodiment of the method for determining the factors affecting the 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, the method for determining the factors affecting the aging performance of solid insulating materials according to any embodiment of the present invention is implemented.

[0135] For example, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present invention. The one or more module elements may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0136] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0137] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device using various interfaces and lines.

[0138] On the basis of the above-mentioned method embodiment, another embodiment is provided: another embodiment of the present application provides a computer readable storage medium comprising a stored computer program, wherein the computer readable storage medium controls the device where the computer readable storage medium is located to execute the solid insulation material aging performance influencing factor determination method of any one of the above-mentioned method embodiments of the present application when the computer program runs.

[0139] The module / unit integrated with the solid insulation material aging performance influencing factor determination apparatus / terminal device, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the present application realizes all or part of the processes in the above-mentioned embodiment methods, which can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer readable storage medium, and the computer program can realize the steps of each method embodiment when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0140] As shown in Figure 6 An embodiment of the present application provides a solid insulation material aging performance evaluation method, which comprises at least the following steps:

[0141] Step S201: obtaining the actual factor level of the selected aging performance influencing factor of the solid insulation material to be evaluated; wherein the selected aging performance influencing factor is determined according to the solid insulation material aging performance influencing factor determination method provided by an embodiment of the present application;

[0142] For step S201, according to the solid insulation material aging performance influencing factor determination method provided by an embodiment of the present application, the electric field intensity and temperature have been determined as the selected aging performance influencing factor for evaluating the aging performance of the silicone rubber material. Now assuming that the aging performance of a silicone rubber material in an electrical device needs to be evaluated, the actual factor level of the selected aging performance influencing factor of the silicone rubber material to be evaluated needs to be obtained first, and it is assumed that the electric field intensity of the silicone rubber material to be evaluated is 8 kV / mm and the temperature is 168℃.

[0143] 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 is assigned a corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold, the actual factor level is assigned a corresponding second preset score. The first preset score of each selected aging performance influencing factor is less than the corresponding second preset score.

[0144] For step S202, assuming that the preset threshold for electric field strength is 10kV / cm and the preset threshold for temperature is 150°C, then 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 (8kV / cm<10kV / cm), a first preset score (2 points) is obtained. For temperature, since the actual factor level is greater than the preset threshold (168°C>150°C), a second preset score (5 points) is obtained. Among them, the first preset score of each selected aging performance influencing factor is less than the corresponding second preset score, that is, if the electric field strength is 12kV / cm, the second preset score (8 points) is obtained. The higher the score, the higher the aging risk of the solid insulating material under the state of the factor level, that is, the more likely it is to have aging problems. Through this scoring method, the aging performance of the solid insulating material to be evaluated can be more comprehensively evaluated, and the degree of its aging risk under the current state can be determined.

[0145] Step S203: Adding the first preset scores or the second preset scores obtained from the actual levels of all selected aging performance influencing factors to obtain a total aging score of the solid insulating material to be evaluated;

[0146] In step S203, the scores of the selected aging performance influencing factors obtained in step S202 are added together to obtain a total aging score (7 points) of the silicone rubber material to be evaluated.

[0147] Step S204: Compare the total aging score with a preset aging threshold. If the total aging score is greater than the preset aging threshold, the state of the solid insulating material to be evaluated is evaluated as prone to aging. If the total aging score is not greater than the preset aging threshold, the state of the solid insulating material to be evaluated is evaluated as not prone to aging.

[0148] For step S204, in the present embodiment, assuming that the aging threshold is 6 points, the total aging score obtained in step S203 is compared with the preset aging threshold, and if the total aging score is greater than the preset aging threshold (7 points > 6 points), it is indicated that the to-be-evaluated silicone rubber material is prone to aging under the condition that the electric field strength is 8 kV / cm and the temperature is 168℃. This means that under the condition of this factor level, the to-be-evaluated silicone rubber material has a higher aging risk. Through this evaluation method, the aging performance of the to-be-evaluated silicone rubber material under a specific electric field strength and temperature condition can be judged, and a conclusion that the material is prone to aging under the current condition can be drawn.

[0149] The above describes the preferred embodiments of the present application. It should be noted that those skilled in the art can make several improvements and refinements without departing from the principles of the present application, and these improvements and refinements are also considered within the protection scope of the present application.

Claims

1. A method for determining factors affecting the aging performance of solid insulating materials, characterized in that: include: Determine the orthogonal experimental scheme according to the number of factors affecting the aging performance of the solid insulation material to be selected and the number of corresponding factor levels; Obtaining the breakdown strength of the insulating material at different levels of each of the to-be-selected aging performance influencing factors; wherein the breakdown strength of the insulating material at different levels of each of the to-be-selected aging performance influencing factors is obtained through the orthogonal experimental scheme; Calculating the significant influence value of each of the to-be-selected aging performance influencing factors according to the breakdown strength of the insulating material at different factor levels of each of the to-be-selected aging performance influencing factors; Comparing the significant influence value of each to-be-selected aging performance influencing factor with a preset significance level, and determining the to-be-selected aging performance influencing factor corresponding to the significant influence value lower than the preset significance level as the selected aging performance influencing factor; The calculation of the significant influence value of each factor according to the breakdown strength of the insulating material at different levels of each of the selected aging performance influencing factors includes: Calculating the sum of squares of deviations of the various aging performance influencing factors to be selected based on the breakdown strength of the insulating material at different factor levels of the various aging performance influencing factors to be selected; Calculating a total sum of squares of errors based on the breakdown strength of the insulating material at different levels of the various aging performance influencing factors to be selected and the sum of squares of the deviations of the various aging performance influencing factors to be selected; Calculating the mean square error of each of the aging performance influencing factors to be selected based on the sum of squares of the deviations of each of the aging performance influencing factors to be selected and the number of levels of each factor; Calculate the total mean square error based on the total sum of squared errors, the number of levels of each factor, and the number of experiments in the orthogonal experimental scheme; Calculating the mean square ratio of each of the aging performance influencing factors to be selected according to the mean square error of each of the aging performance influencing factors to be selected and the total mean square error; The significant influence value of each aging performance influencing factor to be selected is determined according to the mean square ratio of each aging performance influencing factor to be selected, the degree of freedom of each aging performance influencing factor to be selected, and the preset significance level.

2. The method for determining factors affecting the aging performance of solid insulating materials according to claim 1, characterized in that: Also includes: According to the breakdown strength of the insulation material under different factor levels of the selected aging performance influencing factors, the range of each selected aging performance influencing factor is calculated; The magnitudes of the ranges of the selected aging performance influencing factors are sorted in descending order, and the attention priorities of the selected aging performance influencing factors are determined according to the descending sort order.

3. The method for determining factors affecting the aging performance of solid insulating materials according to claim 1, characterized in that: The degree of freedom of each of the aging performance influencing factors to be selected is determined by the following method: For each aging performance influencing factor to be selected, the number of the corresponding factor levels is subtracted by 1 to obtain the degree of freedom of the corresponding aging performance influencing factor to be selected.

4. A device for determining factors affecting the aging performance of solid insulating materials, characterized in that: include: Orthogonal experiment plan confirmation module, experimental data acquisition module, significant impact calculation module and influencing factor selection module; The orthogonal experiment scheme confirmation module is used to determine the orthogonal experiment scheme according to the number of factors affecting the aging performance of the solid insulation material to be selected and the number of corresponding factor levels; The experimental data acquisition module is used to obtain the breakdown strength of the insulating material at different levels of each of the aging performance influencing factors to be selected; wherein the breakdown strength of the insulating material at different levels of each of the aging performance influencing factors to be selected is obtained through the orthogonal experimental scheme; The significant impact calculation module is used to calculate the significant impact value of each aging performance influencing factor to be selected based on the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected; 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 determine the aging performance influencing factor to be selected corresponding to the significant influence value lower than the preset significance level as the selected aging performance influencing factor; The significant influence calculation module includes: a deviation square sum calculation unit, a total error square sum calculation unit, a mean square error calculation unit, a total mean square error calculation unit, a mean square ratio calculation unit, and a significant influence value determination unit; The square sum of deviations calculation unit is used to calculate the square sum of deviations of each aging performance influencing factor to be selected according to the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected; The total error square sum calculation unit is used to calculate the total error square sum according to the breakdown strength of the insulating material at different factor levels of each of the aging performance influencing factors to be selected and the square sum of the deviations of each of the aging performance influencing factors to be selected; The mean square error calculation unit is used to calculate the mean square error of each of the aging performance influencing factors to be selected according to the sum of squares of the deviations of each of the aging performance influencing factors to be selected and the number of levels of each factor; The total mean square error calculation unit is used to calculate the total mean square error according to the total error square sum, the number of each factor level and the number of experiments of the orthogonal experimental scheme; The mean square ratio calculation unit is configured to calculate the mean square ratio of each of the aging performance influencing factors to be selected based on the mean square errors of the respective aging performance influencing factors to be selected and the total mean square error; The significant influence value determining unit is used to determine the significant influence value of each aging performance influencing factor to be selected according to the mean square ratio of each aging performance influencing factor to be selected, the degree of freedom of each aging performance influencing factor to be selected, and the preset significance level.

5. The device for determining factors affecting aging performance of solid insulating materials according to claim 4, characterized in that: 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 at different factor levels of the selected aging performance influencing factor from the breakdown strength of the insulating material at different factor levels of the various aging performance influencing factors to be selected; The selected factor range calculation unit is used to calculate the range of each selected aging performance influencing factor according to the breakdown strength of the insulating material at different factor levels of the selected aging performance influencing factor; The attention priority determination unit is configured to sort the ranges of the selected aging performance influencing factors in descending order, and determine the attention priority of the selected aging performance influencing factors according to the descending order.

6. A terminal device, characterized in that: include: A processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for determining factors affecting the aging performance of solid insulating materials according to any one of claims 1 to 3 is implemented.

7. A computer-readable storage medium, characterized in that include: A stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for determining the factors affecting the aging performance of solid insulating materials according to any one of claims 1 to 3.

8. A method for evaluating the aging performance of solid insulating materials, characterized in that: include: Obtaining an actual factor level of a selected aging performance influencing factor of a solid insulating material to be evaluated; wherein the selected aging performance influencing factor is determined according to the method for determining an aging performance influencing factor of a solid insulating material according to any one of claims 1 to 3; For each selected aging performance influencing factor, the actual factor level is compared with the corresponding preset threshold value. If the actual factor level is less than the corresponding preset threshold value, the actual factor level is assigned a corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold value, the actual factor level is assigned a corresponding second preset score. The first preset score of each selected aging performance influencing factor is less than the corresponding second preset score. Adding the first preset scores or the second preset scores obtained from the actual levels of all selected aging performance influencing factors to obtain a 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 state of the solid insulating material to be evaluated is evaluated as easy to age. If the total aging score is not greater than the preset aging threshold, the state of the solid insulating material to be evaluated is evaluated as not easy to age.

Images