Solid insulating material aging performance influence factor determination method and device, terminal equipment, storage medium and aging performance evaluation method

Abstract

The invention discloses a method and a device for determining aging performance influence factors of a solid insulating material, terminal equipment, a storage medium and an aging performance evaluation method, and the method comprises the steps: determining the aging performance influence factors of the solid insulating material according to the number of to-be-selected aging performance influence factors of the solid insulating material and the number of corresponding factor levels; determining an orthogonal experiment scheme; obtaining the breakdown strength of the insulating material of each to-be-selected aging performance influence factor under different factor levels; wherein the breakdown strength is obtained through an orthogonal experiment scheme; calculating a significant influence value of each to-be-selected aging performance influence factor according to the breakdown strength; and comparing the significant influence value of each to-be-selected aging performance influence factor with a preset significance level, and determining the influence factor corresponding to the significant influence value lower than the preset significance level as the selected aging performance influence factor. By implementing the method, the frequency of factor determination experiments can be effectively reduced, so that time and resources are saved.

Description

Technical Field

[0001] The present invention relates to the field of aging assessment of insulating materials for electrical equipment, and in particular to a method, device, terminal equipment, storage medium and aging performance assessment method for determining factors affecting aging performance of solid insulating materials. Background Art

[0002] Electrical equipment is indispensable in the power system. They are the most critical factor for the normal operation and transmission of electricity. After long-term use, the insulating materials in electrical equipment will gradually age under the influence of voltage and high temperature, resulting in a decrease in insulation performance. This aging process is affected by many factors such as electric field strength, temperature, and the material's own properties. In the process of studying the aging of insulating materials, the traditional single-factor method observes the effect of changing one influencing factor on the aging rate. 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 of the invention

[0003] The embodiments of the present invention provide a method, an apparatus, a terminal device, a storage medium and an aging performance evaluation method for determining factors affecting aging performance of a solid insulating material, which 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 factors affecting aging performance of a solid insulating material, comprising:

[0005] Determine the orthogonal experimental scheme by the number of factors influencing the aging performance of the solid insulating material to be selected and the number of corresponding factor levels;

[0006] Obtaining the breakdown strength of the insulating material at different factor levels for each of the aging performance influencing factors to be selected; wherein the breakdown strength of the insulating material at different factor levels for each of the aging performance influencing factors to be selected is obtained through an orthogonal experimental scheme;

[0007] According to the breakdown strength of the insulating material under different factor levels of each of the aging performance influencing factors to be selected, the significant influence value of each of the aging performance influencing factors to be selected is calculated;

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

[0009] Furthermore, the method for determining the factors affecting the aging performance of solid insulating materials also includes:

[0010] According to the breakdown strength of the insulating 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 sizes of the extreme values ​​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 sorting order.

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

[0013] According to the breakdown strength of the insulating material at different factor levels of each of the aging performance influencing factors to be selected, the sum of squares of deviations of each of the aging performance influencing factors to be selected is calculated;

[0014] Calculate the total error sum of squares 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 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 aging performance influencing factor to be selected according to the sum of squares of deviations of each aging performance influencing factor 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 for the orthogonal experimental scheme;

[0017] Calculate the mean square ratio of each aging performance influencing factor to be selected according to the mean square error of each aging performance influencing factor to be selected and the total mean square error;

[0018] 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, the significant influence value of each aging performance influencing factor to be selected is determined.

[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 experiment data acquisition module, a significant influence calculation module and an influence factor selection module;

[0022] An orthogonal experiment scheme confirmation module is used to determine the orthogonal experiment scheme according to the number of factors influencing the aging performance of the solid insulating 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 at different factor levels of each of the aging performance influencing factors to be selected; wherein the breakdown strength of the insulating material at different factor levels of each of the aging performance influencing factors to be selected is obtained through an orthogonal experimental scheme;

[0024] A significant influence calculation module is used to calculate the significant influence value 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;

[0025] The influencing factor selection module is used to compare the significant influence values ​​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 insulating material at different factor levels of the selected aging performance influencing factor;

[0030] The attention priority determination unit is used to sort the magnitudes of the extreme differences 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 sorting order.

[0031] Further, the significant influence calculation module includes: a deviation sum of squares calculation unit, a total error sum of squares 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 square sum calculation unit, used for calculating the deviation square sum 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;

[0033] A total error square sum calculation unit, used for calculating the total error square sum according to the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected and the square sum of the deviations of each aging performance influencing factor to be selected;

[0034] A mean square error calculation unit, used to calculate the mean square error of each aging performance influencing factor to be selected according to the sum of squares of deviations of each aging performance influencing factor to be selected and the number of levels of each factor;

[0035] A total mean square error calculation unit, used for calculating 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, used for calculating the mean square ratio of each aging performance influencing factor to be selected according to 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 item embodiment, the present invention provides a corresponding storage medium item embodiment, including: a stored computer program, when the computer program is running, controlling 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.

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

[0041] Obtaining the actual factor level of the selected aging performance influencing factor of the solid insulating material to be evaluated; wherein the selected aging performance influencing factor is determined according to a method for determining the 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 obtains the corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold value, the actual factor level obtains the 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 insulating 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 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.

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

[0046] The present invention determines an 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 for 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 consider the interaction between factors; then, according to the breakdown strength of the insulating material at different factor levels for 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 It is a flow chart of a method for determining factors affecting aging performance of solid insulating materials provided by an embodiment of the present invention;

[0049] Figure 2It 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 levels of temperature on experimental results provided by an embodiment of the present invention;

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

[0052] Figure 5 It is a structural schematic diagram of a device for determining factors affecting aging performance of solid insulating materials provided by an embodiment of the present invention;

[0053] Figure 6 It is a flow chart of a method for evaluating aging performance of solid insulating materials provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

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

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

[0057] Step S101: determining an orthogonal experimental scheme according to the number of factors to be selected that affect the aging performance of the solid insulating material and the number of corresponding factor levels;

[0058] For step S101, first, some factors to be selected for influencing the aging performance of a solid insulating material are listed. For each factor to be selected for influencing the aging performance, the possible factor levels of each influencing factor are listed, that is, the different degrees or values ​​of the changes in the influencing factors, which are usually divided into several discrete levels. Then, according to the number of factors to be selected for influencing the aging performance and the number of corresponding factor levels, an orthogonal experimental design method is used to generate an experimental plan.

[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 influence of three factors to be selected for influencing aging performance, namely electric field strength, temperature and time, on the electrothermal aging of silicone rubber material is studied, and the range of electric field strength is determined to be 6kV / mm-14kV / mm, the range of temperature is 120℃-180℃, and the range of time is 0.1h-504h. In order to avoid too many combinations of factors, 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, 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: Level table of electric and thermal combined aging factors for silicone rubber materials

[0062]

[0063]

[0064] Table 2: Electrical and thermal 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, and 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, 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 factor levels for each of the aging performance influencing factors to be selected; wherein the breakdown strength of the insulating material at different factor levels for each of the aging performance influencing factors to be selected is obtained through an orthogonal experimental scheme;

[0068] For step S102, the experiment is carried out according to the orthogonal experimental scheme obtained in step S101. In this embodiment, in order to avoid the influence of random factors on the breakdown field strength test results, the experimental order is randomly determined by drawing lots. 10 samples are tested under the same experimental conditions, and the breakdown strength results of the 10 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 empty 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 empty column, otherwise it is necessary to repeat the experiment to examine the experimental error.

[0069] Table 3: Results of electric and thermal aging test of 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 <![CDATA[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 graphs 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 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;

[0073] In a preferred embodiment, according to the breakdown strength of the insulating 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:

[0074] According to the breakdown strength of the insulating material at different factor levels of each of the aging performance influencing factors to be selected, the sum of squares of deviations of each of the aging performance influencing factors to be selected is calculated;

[0075] Calculate the total error sum of squares 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 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 aging performance influencing factor to be selected according to the sum of squares of deviations of each aging performance influencing factor 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 for the orthogonal experimental scheme;

[0078] Calculate the mean square ratio of each aging performance influencing factor to be selected according to the mean square error of each aging performance influencing factor to be selected and the total mean square error;

[0079] 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, the significant influence value of each aging performance influencing factor to be selected is determined.

[0080] In a preferred embodiment, the degrees of freedom of each aging performance influencing factor to be selected are determined by the following method:

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

[0083] Table 4: ANOVA table

[0084]

[0085] First, according to the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected, the sum of squares of the deviations of each aging performance influencing factor 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 error sum of squares.

[0090] It should be noted that the sum of squared deviations is used to measure the variance contribution of each factor to the experimental results. By calculating the sum of squared deviations of each factor, the degree of influence of different factors on the experimental results can be compared. 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. On the contrary, 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, which can measure the overall variation of the experimental results, including the variation caused by factors other than the factors investigated in the experiment. By calculating the total error sum of squares, the overall variation of the experimental results can be understood, and then the relative importance of the investigated factors to the experimental results can be judged.

[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, according to the sum of squares of the deviations of the factors affecting aging performance to be selected and the number of levels of each factor, the mean square error of the factors affecting aging performance to be selected is calculated by 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 by calculating the mean square error of each factor to be selected to affect the 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, and the overall degree of variation of the experimental results can be measured.

[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 jIt represents the mean square ratio of the jth factor to be selected for aging performance influencing, also known as F value. The F value is a key indicator to measure the impact of factors or interactions on system response. A high F value usually means that the relevant factors or their interactions have a significant impact on the system response. By comparing the F values, the importance of the influencing factors and the strength of their interactions can be determined.

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

[0102] The variance analysis results in this embodiment are shown in Table 5 below:

[0103] Table 5: ANOVA results table

[0104]

[0105]

[0106] Step S104: comparing the significant influence values ​​of the aging performance influencing factors to be selected with the preset significance level, and determining the aging performance influencing factors to be selected corresponding to the significant influence values ​​lower than the preset significance level as the selected aging performance influencing factors.

[0107] For step S104, the significant effect value (P value) is an indicator used to measure statistical significance, which reflects the probability of observing the current sample data or more extreme data when the null hypothesis (usually refers to no difference between the groups) is true. The determination of the P value needs to consider the distribution of the test statistic, the sample data, and the type of test (single-tailed test or double-tailed test). Therefore, the significant effect value (P value) of each aging performance influencing factor to be selected 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 established, the probability of the observed data or more extreme situations is very low. It can be considered that the difference between the two groups of data is statistically significant, and this difference does not occur by chance. The probability of occurrence is 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 different groups. In this case, the difference between the two groups of data is real and significant.

[0108] From Table 5, it can be seen that the significant value of electric field strength is 0.031, which is significant, and the significant value of aging temperature is 0.047, which is also significant, but the significant value of aging time is 0.091, which is not statistically significant. This shows that the change of electric field strength and aging temperature has a significant effect on the aging of silicone rubber samples, while the size of aging time has no significant effect on the size of the breakdown strength of the samples.

[0109] Through the above method for determining the influencing factors of the aging performance of solid insulating materials, it is found that the 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 the electric field strength and temperature are the selected influencing factors of the aging performance of silicone rubber materials.

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

[0111] According to the breakdown strength of the insulating 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 sizes of the extreme values ​​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 sorting 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 order, the electric field strength has a higher priority 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 influence calculation module, and an influence factor selection module;

[0116] An orthogonal experiment scheme confirmation module is used to determine the orthogonal experiment scheme according to the number of factors influencing the aging performance of the solid insulating 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 at different factor levels of each of the aging performance influencing factors to be selected; wherein the breakdown strength of the insulating material at different factor levels of each of the aging performance influencing factors to be selected is obtained through an orthogonal experimental scheme;

[0118] A significant influence calculation module is used to calculate the significant influence value 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;

[0119] The influencing factor selection module is used to compare the significant influence values ​​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 insulating material at different factor levels of the selected aging performance influencing factor;

[0124] The attention priority determination unit is used to sort the magnitudes of the extreme differences 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 sorting order.

[0125] In a preferred embodiment, the significant influence calculation module includes: a deviation sum of squares calculation unit, a total error sum of squares 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 square sum calculation unit, used for calculating the deviation square sum 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;

[0127] A total error square sum calculation unit, used for calculating the total error square sum according to the breakdown strength of the insulating material at different factor levels of each aging performance influencing factor to be selected and the square sum of the deviations of each aging performance influencing factor to be selected;

[0128] A mean square error calculation unit, used to calculate the mean square error of each aging performance influencing factor to be selected according to the sum of squares of deviations of each aging performance influencing factor to be selected and the number of levels of each factor;

[0129] A total mean square error calculation unit, used for calculating 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, used for calculating the mean square ratio of each aging performance influencing factor to be selected according to 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 item embodiments correspond to the method item embodiments of the present invention, and can implement the method for determining the factors affecting the aging performance of solid insulating materials provided by any of the above-mentioned method item 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. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art may understand and implement the present invention without creative work.

[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] Exemplarily, 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 implementing specific functions, which 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, a palmtop computer, 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, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0138] Based on the above method embodiment, 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 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 described in any one of the above method embodiments of the present invention.

[0139] Wherein, the module / unit integrated in the device / terminal device for determining the factors affecting the aging performance of solid insulating materials, if implemented 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 an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, 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, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0140] like Figure 6 As shown, an embodiment of the present invention provides a method for evaluating the aging performance of a solid insulating material, the method comprising at least the following steps:

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

[0142] For step S201, according to the method for determining the influencing factors of the aging performance of solid insulating materials provided by an embodiment of the present invention, the electric field strength and temperature have been determined as the selected aging performance influencing factors 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, first, the actual factor level of the selected aging performance influencing factor of the silicone rubber material to be evaluated needs to be obtained, assuming that the electric field strength of the silicone rubber material to be evaluated is 8kV / mm and the temperature is 168°C.

[0143] Step S202: 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 obtains the corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold value, the actual factor level obtains the 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, it is assumed that for the electric field strength, the preset threshold is 10kV / cm, and for the temperature, the preset threshold is 150°C. Then, the actual factor level is compared with the corresponding preset threshold. For the electric field strength, since the actual factor level is less than the preset threshold (8kV / cm<10kV / cm), the first preset score (2 points) is obtained. For the temperature, since the actual factor level is greater than the preset threshold (168°C>150°C), the 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 aging problem is more likely to occur. 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 in 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 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 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.

[0148] For step S204, in this embodiment, assuming that the aging threshold is 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 means that the silicone rubber material to be evaluated is prone to aging under the conditions of an electric field strength of 8kV / cm and a temperature of 168°C. This means that under the condition of this factor level, 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 judged, and a conclusion can be drawn that the material is prone to aging under the current state.

[0149] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. 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 affecting aging performance of solid insulating materials, characterized in that: include: Determine the orthogonal experimental scheme by the number of factors influencing the aging performance of the solid insulating material to be selected and the number of corresponding factor levels; Obtaining the breakdown strength of the insulating material at different factor levels for each of the aging performance influencing factors to be selected; wherein the breakdown strength of the insulating material at different factor levels for each of the aging performance influencing factors to be selected is obtained through the orthogonal experimental scheme; Calculate the significant influence value 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 significant influence values ​​of each aging performance influencing factor to be selected are compared with the preset significance level, and the aging performance influencing factor to be selected corresponding to the significant influence value lower than the preset significance level is determined as the selected aging performance influencing factor.

2. The method for determining the 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 insulating material under different factor levels of the selected aging performance influencing factors, the range of each selected aging performance influencing factor is calculated; The sizes of the extreme values ​​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 sorting order.

3. The method for determining the factors affecting the aging performance of solid insulating materials according to claim 2, characterized in that: According to the breakdown strength of the insulating material under different factor levels of each of the selected aging performance influencing factors, the significant influence value of each factor is calculated, including: Calculating the sum of squares of deviations of the aging performance influencing factors to be selected according to the breakdown strength of the insulating material at different factor levels of the aging performance influencing factors to be selected; Calculating the total error sum of squares 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 sum of squares of the deviations of each of the aging performance influencing factors to be selected; Calculating the mean square error of each aging performance influencing factor to be selected according to the sum of squares of deviations of each aging performance influencing factor to be selected and the number of levels of each factor; Calculate the total mean square error based on the total error sum of squares, the number of levels of each factor, and the number of experiments in the orthogonal experimental scheme; Calculating the mean square ratio of each aging performance influencing factor to be selected according to the mean square error of each aging performance influencing factor 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.

4. The method for determining the factors affecting the aging performance of solid insulating materials according to claim 3, 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.

5. A device for determining factors affecting aging performance of solid insulating materials, characterized in that: include: Orthogonal experiment scheme 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 insulating 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 factor levels of each of the aging performance influencing factors to be selected; wherein the breakdown strength of the insulating material at different factor levels of each of the aging performance influencing factors to be selected is obtained through the orthogonal experimental scheme; The significant influence calculation module is used to calculate the significant influence value 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 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.

6. The device for determining factors affecting aging performance of solid insulating materials according to claim 5, 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 used to sort the magnitudes of 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 sorting order.

7. The device for determining factors affecting aging performance of solid insulating materials according to claim 6, characterized in that: 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 deviation square sum calculation unit is used to calculate the deviation square sum 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 aging performance influencing factor to be selected according to the sum of squares of deviations of each aging performance influencing factor 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 used to calculate the mean square ratio of each aging performance influencing factor to be selected according to the mean square errors of each aging performance influencing factor to be selected and the total mean square error; 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.

8. 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 as described in any one of claims 1 to 4 is implemented.

9. 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 as described in any one of claims 1 to 4.

10. A method for evaluating the aging performance of solid insulating materials, characterized in that: include: Obtaining the actual factor level of the selected aging performance influencing factor of the solid insulating material to be evaluated; wherein the selected aging performance influencing factor is determined according to the method for determining the aging performance influencing factor of the solid insulating material according to any one of claims 1 to 4; 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 obtains the corresponding first preset score. If the actual factor level is greater than or equal to the corresponding preset threshold value, the actual factor level obtains the 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 insulating material to be evaluated; 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 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.

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