Comprehensive evaluation method, system and equipment for insulating property of oil-impregnated paper and medium

Abstract

The invention discloses a comprehensive evaluation method, system, equipment and medium for the insulation performance of oil-impregnated paper, and belongs to the technical field of evaluation of the insulation performance of the oil-impregnated paper. The method comprises the following steps of: constructing a hierarchical structure model by taking evaluation of the insulation performance of the oil-impregnated paper as a target, and subjectively weighting indexes in an oil-impregnated paper insulation performance index system through an analytic hierarchy process to obtain a comprehensive evaluation result of the insulation performance of the oil-impregnated paper; calculating to obtain a subjective weight; carrying out objective weighting on quantitative data of indexes in the oil-impregnated paper insulation performance index system by adopting an entropy weight method, and calculating to obtain an objective weight; using a comprehensive weighting method for the subjective weight and the objective weight to obtain an index comprehensive weight; and obtaining evaluation scores of corresponding indexes on the basis of multiplying each index data in the oil-impregnated paper insulating material database by the comprehensive weight, adding all the index evaluation scores of each candidate oil-impregnated paper product to obtain a final total evaluation score, and sorting the final total evaluation score, thereby completing the evaluation of the insulating property of the oil-impregnated paper, and providing a theoretical basis for the type selection of an insulating material of power equipment.

Description

Technical Field

[0001] The present invention belongs to the technical field of evaluating the insulating performance of oil-impregnated paper, and specifically relates to a comprehensive evaluation method, system, device and medium for the insulating performance of oil-impregnated paper. Background Art

[0002] With the increase in power consumption, the continuous development of advanced power systems such as UHV power transmission, flexible DC power transmission and distributed power generation technologies has given rise to a strong demand for new high-voltage, large-capacity and miniaturized power equipment, which will impose more stringent requirements on the insulation of power equipment. Power transformers and converter transformers are key equipment in the power system, and their operation reliability directly affects the safe operation of the power system. Oil-paper composite insulation is the most important insulation form.

[0003] Oil-paper insulation is a mature and widely used composite insulation form. During the long-term operation of power equipment, under the action of multi-factor composite physical fields such as electricity, magnetism and heat, the insulating performance of the composite insulation structure decreases, which poses a threat to the safety performance of power equipment and has high maintenance costs and long maintenance cycles. Considering the important impact of insulation performance on the economic benefits of the power industry and the structure of the power system, how to more systematically evaluate the insulating performance of oil-impregnated paper has become a key issue.

[0004] Therefore, it is necessary to promote the work of selecting oil-impregnated paper for transformers, determine the weight ratio of different indexes of oil-impregnated paper, and comprehensively evaluate the oil-impregnated paper products with the best insulating performance. The existing evaluation schemes for the insulating performance of oil-impregnated paper rely strongly on expert judgment, and the artificial judgment has certain subjectivity and lacks the objectivity of sample data.

[0005] The above information disclosed in the background art section is only used to enhance the understanding of the background of the present invention, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] The purpose of the present invention is to provide a comprehensive evaluation method, system, device and medium for the insulating performance of oil-impregnated paper, adopting a comprehensive evaluation system of the Analytic Hierarchy Process (AHP) and the entropy weight method, combining subjective and objective weighting methods to obtain a comprehensive weight, providing a decision-making strategy for evaluating the insulating performance of oil-impregnated paper, and providing a theoretical basis for the selection of insulating materials for power equipment.

[0007] In order to achieve the above purpose, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a comprehensive evaluation method for the insulating performance of oil-impregnated paper, including: Construct a hierarchical structure model with the aim of evaluating the insulation performance of oil-impregnated paper. The hierarchical structure model includes an objective layer, a criterion layer, and a scheme layer. The objective layer is to evaluate the insulation performance of oil-impregnated paper. The criterion layer includes evaluation indicators that meet the evaluation criteria, as well as an oil-impregnated paper insulation material database. The scheme layer is the candidate oil-impregnated paper; Subjectively assign weights to all evaluation indicators in the oil-impregnated paper insulation performance index system through the analytic hierarchy process to obtain the subjective weights of each evaluation indicator; Objectively assign weights to the quantified data of all evaluation indicators in the oil-impregnated paper insulation performance index system using the entropy weight method to obtain the objective weights of each evaluation indicator; Based on the subjective weights and objective weights, use the comprehensive weighting method to obtain the comprehensive weights of each evaluation indicator for each candidate oil-impregnated paper; Based on the quantified data matrix of the evaluation indicators after standardization processing and the comprehensive weights of the evaluation indicators, obtain the evaluation scores of the corresponding evaluation indicators. Add up the evaluation scores of all evaluation indicators for each candidate oil-impregnated paper in the scheme layer to obtain the final total evaluation score of the candidate oil-impregnated paper. Sort based on the final total evaluation score to complete the evaluation of the insulation performance of the oil-impregnated paper.

[0008] Furthermore, the evaluation indicators include dielectric strength, relative dielectric constant, dielectric loss factor, volume resistivity, and surface resistivity.

[0009] Furthermore, the step of subjectively assigning weights to all evaluation indicators in the oil-impregnated paper insulation performance index system through the analytic hierarchy process to obtain the subjective weights of each evaluation indicator includes the following steps: Compare the oil-impregnated paper insulation performance evaluation indicators pairwise to judge the relative importance degree between each evaluation indicator and obtain a judgment matrix; Calculate the m-th power of the product of each row element of the judgment matrix to obtain an m-dimensional vector, where m is the number of evaluation indicators; Standardize the m-dimensional vector to obtain the subjective weights of each evaluation indicator; Calculate the maximum eigenvalue of the judgment matrix based on the subjective weights of each evaluation indicator; Conduct a consistency test on the judgment matrix based on the maximum eigenvalue of the judgment matrix. If the consistency test fails, modify the judgment matrix until the consistency test passes, and recalculate the subjective weights of each evaluation indicator.

[0010] Furthermore, use the 9-level scale method to compare the oil-impregnated paper insulation performance evaluation indicators pairwise.

[0011] Furthermore, the step of objectively assigning weights to the quantified data of all evaluation indicators in the oil-impregnated paper insulation performance index system using the entropy weight method to obtain the objective weights of each evaluation indicator includes: Determine the quantitative data matrix of evaluation indicators, where the elements in the quantitative data matrix of evaluation indicators are the evaluation indicators of all candidate oil-impregnated papers; Standardize the data of the obtained evaluation indicators to obtain a standardized quantitative data matrix of evaluation indicators; Calculate the proportion of the standardized data of each evaluation indicator of each candidate oil-impregnated paper in this evaluation indicator based on the elements in the standardized quantitative data matrix of evaluation indicators; Calculate the entropy of each evaluation indicator based on the proportion of the standardized data of each evaluation indicator of each candidate oil-impregnated paper in this evaluation indicator; Calculate the information entropy redundancy of each evaluation indicator based on the entropy of each evaluation indicator; Calculate the objective weight of each evaluation indicator based on the information entropy redundancy of each evaluation indicator.

[0012] Further, calculate the comprehensive weight of each evaluation indicator of each candidate oil-impregnated paper through the following formula: , where, is the comprehensive weight of the jth evaluation indicator, w j is the subjective weight of the jth evaluation indicator, u j is the objective weight of the jth evaluation indicator, and a is the coefficient for adjusting the subjective weight and the objective weight.

[0013] Further, the specific method for obtaining the evaluation score of the corresponding evaluation indicator based on the data of each indicator in the standardized oil-impregnated paper insulation material database and the comprehensive weight of the evaluation indicator is: multiply the standardized data of each indicator in the oil-impregnated paper insulation material database by the comprehensive weight to obtain the evaluation score of each indicator.

[0014] In the second aspect, the present invention provides an integrated evaluation system for the insulation performance of oil-impregnated paper, including: A modeling unit for constructing a hierarchical structure model with the insulation performance of oil-impregnated paper as the target. The hierarchical structure model includes a target layer, a criterion layer, and a scheme layer. The target layer is to evaluate the insulation performance of oil-impregnated paper. The criterion layer includes evaluation indicators that meet the evaluation criteria, and an oil-impregnated paper insulation material database is established. The scheme layer is candidate oil-impregnated papers; A hierarchical analysis unit for subjectively weighting the indicators in the insulation performance index system of oil-impregnated paper through the analytic hierarchy process and calculating the subjective weights of each evaluation indicator; An entropy weight unit for objectively weighting the quantitative data of the indicators in the insulation performance index system of oil-impregnated paper by using the entropy weight method and calculating the objective weights of each evaluation indicator; A comprehensive weighting unit for obtaining the comprehensive weight of the indicators by using the comprehensive weighting method for the subjective weight and the objective weight; An evaluation unit obtains the evaluation scores of corresponding evaluation indicators based on the standardized evaluation index quantization data matrix and the comprehensive weights of the evaluation indicators, adds up the evaluation scores of all evaluation indicators of each candidate oil-impregnated paper product in the scheme layer to obtain the final total evaluation score and sorts them, and completes the evaluation of the insulation performance of the oil-impregnated paper.

[0015] In a third aspect, the present invention provides an electronic device, including: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the comprehensive evaluation method for the insulation performance of oil-impregnated paper as described in any one of the first aspects of the present invention.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, it implements the comprehensive evaluation method for the insulation performance of oil-impregnated paper as described in any one of the first aspects of the present invention.

[0017] Compared with the prior art, the present invention has at least the following beneficial technical effects: The present invention adopts a comprehensive evaluation system combining the analytic hierarchy process and the entropy weight method, objectively assigns weights based on the oil-impregnated paper index data, combines with the subjective weight assignment by expert scoring, and proposes an evaluation method for the insulation performance of oil-impregnated paper that balances subjective and objective comprehensive weight assignment. The entropy weight method can automatically capture the change in the dispersion degree of oil-impregnated paper indicators, adjust the weights to reflect the actual state, enhance the dynamic adaptability, and is especially suitable for the real-time monitoring and evaluation of the performance of oil-impregnated paper during long-term operation. This method achieves the balance between subjectivity and objectivity through weighted fusion, improves the scientificity and practicability of the evaluation system, and provides a theoretical basis for the selection of insulation materials for power equipment.

[0018] For the scenario of oil-impregnated paper composite insulation in power equipment, by deconstructing the failure mechanism of the oil-impregnated paper insulation system, accurately select the evaluation indicators that meet the criteria for evaluating the insulation performance of oil-impregnated paper: the dielectric strength representing the insulation breakdown threshold, the relative dielectric constant reflecting the polarization characteristics and energy storage capacity, the dielectric loss factor quantifying the energy dissipation level under high-frequency fields, the volume resistivity representing the bulk insulation performance, and the surface resistivity evaluating the risk of surface discharge and other core indicators. Based on objective data, it provides a traceable and reproducible decision-making path for the condition assessment of the oil-impregnated paper insulation system, and solves the problem of strong dependence on expert subjective judgment in the traditional evaluation method for the insulation performance of oil-impregnated paper, resulting in the drift of evaluation results. Description of the Drawings

[0019] By reading the detailed description in the following preferred specific embodiments, various other advantages and benefits of the present invention will become clear to those of ordinary skill in the art. The accompanying drawings of the specification are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts. Moreover, throughout the drawings, the same reference numerals are used to represent the same components.

[0020] Figure 1 It is a schematic flow chart of a comprehensive evaluation method for the insulation performance of oil-impregnated paper based on the AHP-entropy weight method; Figure 2 It is a schematic diagram of the hierarchical structure model of the oil-impregnated paper insulation performance evaluation system; Figure 3 It is a block diagram of the structure of the comprehensive evaluation system for the insulation performance of oil-impregnated paper provided by the embodiments of the present invention; Figure 4 It is a block diagram of an electronic device according to an embodiment of the present invention. Specific Embodiments

[0021] The specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the specific embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0022] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that technicians may use different terms to refer to the same component. The specification and claims do not use the difference in terms as a way to distinguish components, but use the difference in functions of components as the criterion for distinction. As mentioned throughout the specification and claims, "comprising" or "including" is an open-ended term and should be interpreted as "including but not limited to". The subsequent description of the specification is for the purpose of implementing the preferred embodiments of the present invention, but the description is for the general purpose of the specification and is not intended to limit the scope of the present invention. The scope of protection of the present invention shall be defined by the appended claims.

[0023] For the convenience of understanding the embodiments of the present invention, the following will further explain with specific embodiments as examples in conjunction with the accompanying drawings, and each accompanying drawing does not constitute a limitation to the embodiments of the present invention.

[0024] The present invention will be further described in detail below with reference to the accompanying drawings: Embodiment 1 Refer toFigure 1 , this embodiment provides a comprehensive evaluation method for the insulation performance of oil-impregnated paper based on the AHP-entropy weight method, which includes the following steps: Step 1: Construct a hierarchical structure model with the goal of evaluating the insulation performance of oil-impregnated paper. The hierarchical structure model includes an objective layer, a criterion layer, and a scheme layer. The objective layer is to evaluate the insulation performance of oil-impregnated paper. In the criterion layer, select evaluation indicators that meet the evaluation criteria to form an insulation performance index system for oil-impregnated paper and establish an oil-impregnated paper material database. The scheme layer is the candidate oil-impregnated paper products. As Figure 2 shown, the objective layer is located at the highest level of the hierarchical structure, representing the ultimate goal of the decision-making problem. The criterion layer is located below the objective layer, representing the main criteria or standards to be considered when achieving the goal. The scheme layer is at the bottom of the hierarchical structure, representing the specific options available in the decision-making.

[0025] Among them, the data in the oil-impregnated paper material database include: the measured data of the evaluation indicators corresponding to different types of oil-impregnated paper, such as the measured data of dielectric strength, relative dielectric constant, dielectric loss factor, volume resistivity, and surface resistivity.

[0026] Step 2: Subjectively assign weights to the evaluation indicators in the insulation performance index system of oil-impregnated paper through the analytic hierarchy process, and calculate the subjective weights of each evaluation indicator. Step 3: Use the entropy weight method to objectively assign weights to the quantitative data of the evaluation indicators in the insulation performance index system of oil-impregnated paper, and calculate the objective weights. Step 4: Use the comprehensive weighting method for the subjective weights and objective weights to obtain the comprehensive weights of the evaluation indicators. Step 5: Standardize the data of each evaluation indicator in the oil-impregnated paper material database and multiply it by the comprehensive weights of the evaluation indicators to obtain the evaluation scores of the corresponding evaluation indicators. Add up the evaluation scores of all evaluation indicators of each candidate oil-impregnated paper product in the scheme layer to obtain the final total evaluation score and sort them to complete the evaluation of the insulation performance of oil-impregnated paper.

[0027] In the preferred embodiment of the comprehensive evaluation method for the insulation performance of oil-impregnated paper based on the AHP-entropy weight method, the insulation performance index system of oil-impregnated paper includes dielectric strength, relative dielectric constant, dielectric loss factor, volume resistivity, and surface resistivity.

[0028] In the preferred embodiment of the comprehensive evaluation method for the insulation performance of oil-impregnated paper based on the AHP-entropy weight method, Step 2 includes the following steps: Use the 9-level scale method to compare the insulation performance evaluation indicators of oil-impregnated paper pairwise, judge the relative importance degree between each evaluation indicator, and finally obtain the judgment matrix A(a ij ) m×m , denoted as the judgment matrix A; Calculate the weight vector of the criterion layer with respect to the target layer based on the judgment matrix of the criterion layer with respect to the target layer. Among them, process the data in the judgment matrix: use the square root method to obtain the eigenvector and the maximum eigenvalue of the judgment matrix. First, calculate the m-th power of the product of each element in each row of the judgment matrix to obtain an m-dimensional vector: ; where a ij is the data in the i-th row and j-th column of the judgment matrix, M i is the i-th element of the m-dimensional vector, m is the order of the judgment matrix; Standardize the m-dimensional vector through the following formula to obtain the subjective weights of each evaluation index: ; where, is the i-th element of the subjective weight vector, that is, the subjective weight of the i-th evaluation index, M i is the i-th element of the m-dimensional vector, m is the order of the judgment matrix; Calculate the maximum eigenvalue of the judgment matrix through the following formula : ; m is the order of the judgment matrix, and A is the judgment matrix; Calculate the consistency index and the consistency ratio through the following formula: ; ; where, m is the order of the judgment matrix, CR is the consistency ratio of the judgment matrix, CI is the consistency index, and RI is the random consistency index.

[0029] Conduct a consistency test on the judgment matrix. According to the test results, if the consistency ratio is less than 0.1, it means that the consistency test passes; otherwise, modify the judgment matrix until it meets the requirements, and recalculate the subjective weight vector.

[0030] In the preferred implementation manner of the above-mentioned comprehensive evaluation method for the oil-immersed paper insulation performance based on the AHP-entropy weight method, step 3 includes the following steps: Determine the index quantization data matrix: For n candidate samples and m evaluation indexes, x cj is the data of the j-th evaluation index of the c-th candidate sample, that is, the data in the c-th row and j-th column of the index quantization data matrix, c = 1, ···, n; j = 1, ···, m; Standardize the data of the evaluation indicators in the index quantification data matrix: Standardize the data of the evaluation indicators for positive indicators or negative indicators to complete the same-direction processing, and obtain the standardized index quantification data matrix after standardization processing: The standardization formula for positive indicators is: ; The standardization formula for negative indicators is: ; z cj is the standardized data of the c-th row and j-th column of the standardized matrix. After standardization, the evaluation index values are all within the range of [0, 1]; Calculate the proportion of the standardized data of the j-th evaluation index of the c-th candidate sample in this evaluation index through the following formula : ; Calculate the entropy of the j-th index through the following formula: ; n is the number of samples; Calculate the information entropy redundancy of the j-th evaluation index through the following formula : ; Calculate the objective weight of the j-th evaluation index through the following formula : .

[0031] In the preferred implementation manner of the above-mentioned comprehensive evaluation method for oil-paper insulation performance based on the AHP-entropy weight method, when P cj = 0, P cj lnP cj = 0.

[0032] In the preferred implementation manner of the above-mentioned comprehensive evaluation method for oil-paper insulation performance based on the AHP-entropy weight method, in step 4, the formula for combining the analytic hierarchy process and the entropy weight method to obtain the comprehensive weight of the evaluation index by the comprehensive weighting method is: ; Among them, is the comprehensive weight of the evaluation index j; w j is the subjective weight of the j-th evaluation index obtained by the analytic hierarchy process, u j is the objective weight of the index j obtained by the entropy weight method, and a is the coefficient for adjusting the subjective weight and the objective weight, with a value range of 0 to 1.

[0033] In the preferred implementation of the comprehensive evaluation method for the insulation performance of oil-impregnated paper based on the AHP-entropy weight method, in step 5, the evaluation scores of the evaluation indicators of n samples are calculated by the following formula: ; S n×1 represents the evaluation scores of the evaluation indicators of n samples; Z n×m represents the matrix of quantified data of the evaluation indicators after standardization; k m×1 represents the column vector of the comprehensive weight values of m evaluation indicators.

[0034] Please refer to Figure 3 , in this embodiment, a comprehensive evaluation system for the insulation performance of oil-impregnated paper based on the AHP-entropy weight method includes: A modeling unit for constructing a hierarchical structure model with the insulation performance of oil-impregnated paper as the target. The hierarchical structure model includes an objective layer, a criterion layer, and a scheme layer. The objective layer is to evaluate the insulation performance of oil-impregnated paper. The criterion layer includes evaluation indicators that meet the evaluation criteria, and an oil-impregnated paper insulation material database is established. The scheme layer is the candidate oil-impregnated paper; A hierarchical analysis unit for subjectively weighting the indicators in the insulation performance index system of oil-impregnated paper by the analytic hierarchy process and calculating the subjective weights of each evaluation indicator; An entropy weight unit for objectively weighting the quantified data of the indicators in the insulation performance index system of oil-impregnated paper by the entropy weight method and calculating the objective weights of each evaluation indicator; A comprehensive weighting unit for obtaining the comprehensive weights of the indicators by using the comprehensive weighting method for the subjective weights and objective weights; An evaluation unit for multiplying the standardized data of each evaluation indicator by the comprehensive weights of the evaluation indicators to obtain the evaluation scores of the corresponding evaluation indicators, adding up the evaluation scores of all evaluation indicators of each candidate oil-impregnated paper product in the scheme layer to obtain the final total evaluation score and sorting, and completing the evaluation of the insulation performance of oil-impregnated paper; the higher the final total evaluation score, the better the insulation performance of the oil-impregnated paper.

[0035] All relevant contents of each step involved in the embodiment of the above-mentioned comprehensive evaluation method for the insulation performance of oil-impregnated paper can be cited in the function description of the corresponding functional modules of the comprehensive evaluation system for the insulation performance of oil-impregnated paper in the embodiment of the present invention, and will not be elaborated here.

[0036] A storage medium, specifically a computer-readable storage medium, the storage medium includes computer instructions, when it runs on a computer, it causes the computer to execute the above method.

[0037] It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the electronic device and, of course, the extended storage medium supported by the electronic device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. And, in this storage space, there is also stored one or more instructions suitable for being loaded and executed by the processor, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the corresponding steps of the method for comprehensive evaluation of the insulating performance of oil-impregnated paper in the above embodiments.

[0038] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0039] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0040] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0041] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one process or multiple processes and / or boxes. Figure 1 One process or multiple processes and / or boxes Figure 1 Steps for implementing the functions specified in one box or multiple boxes.

[0042] Referring to Figure 4 , an electronic device, the electronic device comprising: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein When the processor executes the program, the method described above is implemented.

[0043] The processor is connected to the memory through a bus; the memory is used for storing a computer program, the computer program includes program instructions, and the processor is used for executing the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method process or corresponding function; the processor described in the embodiments of the present invention can be used for the operation of the comprehensive evaluation method for the performance of oil-impregnated paper insulation. The bus may be a peripheral component interconnect (PCI) bus, an extended industry standard architecture (EISA) bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 4 Only one line is shown in [FIGURE], but it does not mean that there is only one bus or one type of bus.

[0044] A computer program product includes a non-volatile computer-readable storage medium that stores the computer program product. When the computer program is executed by a processor, it implements the steps of the methods described in various embodiments of the present application.

[0045] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data that have been authorized by the user or fully authorized by all parties. And the collection, use, and processing of relevant data need to comply with the relevant laws, regulations, and standards of relevant countries and regions.

[0046] In one embodiment, the comprehensive evaluation method for the insulating performance of oil-impregnated paper based on the AHP-entropy weight method includes the following steps: Step 1: Construct a hierarchical structure model with the goal of evaluating the insulating performance of oil-impregnated paper. The structure model is divided into three layers: the goal layer, the criterion layer, and the scheme layer. The goal layer is to evaluate the insulating performance of oil-impregnated paper. In the criterion layer, select evaluation indicators that meet the evaluation criteria, such as dielectric strength, relative dielectric constant, dielectric loss factor, volume resistivity, and surface resistivity, etc., and establish a relevant database of oil-impregnated paper insulating materials. The scheme layer is the candidate oil-impregnated paper products.

[0047] Step 2: Subjectively assign weights to the evaluation indicators in the insulating performance index system of oil-impregnated paper through the analytic hierarchy process, and calculate the subjective weights of each evaluation indicator.

[0048] Step 3: Use the entropy weight method to objectively assign weights to the quantitative data of the evaluation indicators in the insulating performance index system of oil-impregnated paper, and calculate the objective weights.

[0049] Step 4: Use the comprehensive weighting method for the subjective weight values and objective weight values of the indicators obtained in Step 2 and Step 3 to obtain the comprehensive weights of the evaluation indicators.

[0050] Step 5: After standardizing the data of each evaluation indicator in the oil-impregnated paper insulating material database, multiply it by the comprehensive weights of the evaluation indicators obtained in Step 4 to obtain the evaluation scores of the corresponding evaluation indicators. Add up the evaluation scores of all evaluation indicators of each candidate oil-impregnated paper in the scheme layer to obtain the final total evaluation score and sort them to complete the evaluation of the insulating performance of oil-impregnated paper.

[0051] Step 2 specifically includes: Construct a judgment matrix for the evaluation indicators according to the experience and knowledge of experts themselves, that is, use the 9-level scale method to compare the evaluation indicators of the insulating performance of oil-impregnated paper pairwise, judge the relative importance degree between each evaluation indicator, and finally obtain the judgment matrix A(a ij ) m×m .

[0052] Judgment Matrix Scoring Criterion Table:

[0053] According to the judgment matrix of the criterion layer with respect to the target layer, calculate the weight vector of the criterion layer with respect to the target layer: Process the data in the judgment matrix: Use the square root method to obtain the eigenvector and eigenvalue of the judgment matrix. Calculate the m-th power of the product of each element in each row of the judgment matrix to obtain an m-dimensional vector through the following formula: ; Standardize the m-dimensional vector through the following formula to obtain the subjective weight vector: ; Calculate the maximum eigenvalue of the judgment matrix: ; When there are many evaluation indicators in the judgment matrix, contradictions may occur in the results of pairwise comparisons of the evaluation indicators. Therefore, it is necessary to conduct a consistency test on the judgment matrix. Calculate the consistency index and consistency ratio through the following formula: ; ; Among them, m is the order of the judgment matrix, CR is the consistency ratio of the judgment matrix, CI is the consistency index, and RI is the random consistency index. According to the judgment result, if the consistency ratio is less than 0.1, it indicates that the consistency test passes. Otherwise, the judgment matrix needs to be modified until it meets the requirements, and the subjective weight vector needs to be recalculated.

[0054] Random Consistency Index RI Value Table:

[0055] Step 3 specifically includes: Determine the index quantization data matrix. For n samples and m evaluation indicators, x cj is the data of the j-th evaluation indicator of the c-th candidate sample, (i = 1, ···, n; j = 1, ···, m).

[0056] Standardize the obtained index data. Eliminate the influence of the original index dimension through mathematical transformation to unify the units and magnitudes of each index. Secondly, for oil-impregnated paper composite insulation materials, for some indicators, the larger the value, the better the corresponding performance, such as volume resistivity and dielectric strength. For some indicators, the smaller the data, the better the corresponding performance, such as dielectric loss factor. In order to comprehensively evaluate each indicator, it is necessary to perform a co-directionalization process on the original data: Standardization of positive indicators: ; Negative index standardization: ; After standardization, the values of the evaluation indicators are all within the range of [0, 1].

[0057] Calculate the proportion of the standardized data of the j-th evaluation indicator of the c-th candidate sample in this evaluation indicator through the following formula: ; Calculate the entropy of each evaluation indicator through the following formula: ; Specifically, when P cj = 0, P cj lnP cj = 0; Calculate the information entropy redundancy through the following formula: ; Calculate the objective weight corresponding to each indicator through the following formula: ; Step 4 specifically includes: As a subjective weighting method, the analytic hierarchy process assigns weights based on the knowledge and experience of experts. Its decision-making results are often affected by the subjective judgment of decision-makers. Generally, the weighting results do not violate common sense, but may not accurately reflect objective facts. Relatively speaking, the entropy weight method is an objective weighting method that deeply explores the internal laws of the original data and determines its weight by analyzing the variation degree of each indicator. It is not biased by the subjective experience of decision-makers, and the evaluation process is supported by mathematical theories. This method can reduce the interference of subjective factors to a certain extent and usually has high accuracy. However, due to its dependence on data variability, the entropy weight method may ignore the importance of the indicator itself, resulting in a deviation between the final weight and the expected goal. In order to improve the rationality of weight assignment, a method combining the analytic hierarchy process and the entropy weight method is proposed. Calculate the comprehensive weight of each evaluation indicator through the following formula to comprehensively consider subjective and objective factors, thereby reducing the influence of subjective factors on the basis of objective evaluation and enhancing the rationality of the results: ;

[0058] w j is the subjective weight of indicator j obtained by the analytic hierarchy process, and u j is the objective weight of indicator j obtained by the entropy weight method. a is the coefficient for adjusting the subjective weight and the objective weight. In this embodiment, a is taken as 0.6.

[0059] Step 5: Multiply the standardized data of each index in the oil-impregnated paper insulation material database by the comprehensive weight obtained in Step 4 to obtain the evaluation scores of the corresponding indexes. The calculation formula is as follows: ; S n×1 represents the evaluation scores of the evaluation indexes of n samples; Z n×m represents the quantization data matrix of the evaluation indexes after standardization; k m×1 represents the column vector of the comprehensive weight values of m evaluation indexes.

[0060] Add up the evaluation scores of all indexes of each candidate oil-impregnated paper in the scheme layer to obtain the final total evaluation score and sort them to complete the evaluation of the insulation performance of the oil-impregnated paper.

[0061] Although the embodiments of the present invention have been described above in conjunction with the accompanying drawings, the present invention is not limited to the above specific embodiments and application fields. The above specific embodiments are merely illustrative and guiding, rather than restrictive. Those of ordinary skill in the art can also make many forms under the inspiration of this specification and without departing from the scope protected by the claims of the present invention, and these all belong to the scope of protection of the present invention.

[0062] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific implementation manners of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement without departing from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A comprehensive evaluation method for the insulation performance of oil-impregnated paper, characterized in that, Including: Construct a hierarchical structure model aiming at evaluating the insulation performance of oil-impregnated paper. The hierarchical structure model includes an objective layer, a criterion layer, and a scheme layer. The objective layer is to evaluate the insulation performance of oil-impregnated paper. The criterion layer includes evaluation indicators that meet the evaluation criteria, as well as an oil-impregnated paper insulation material database. The scheme layer is the candidate oil-impregnated paper. Subjectively weight all the evaluation indicators in the oil-impregnated paper insulation performance index system by the analytic hierarchy process to obtain the subjective weights of each evaluation indicator. Objectively weight the quantified data of all the evaluation indicators in the oil-impregnated paper insulation performance index system by the entropy weight method to obtain the objective weights of each evaluation indicator. Based on the subjective weights and objective weights, use the comprehensive weighting method to obtain the comprehensive weights of each evaluation indicator for each candidate oil-impregnated paper. Based on the quantified data matrix of the evaluation indicators after standardization and the comprehensive weights of the evaluation indicators, obtain the evaluation scores of the corresponding evaluation indicators. Add up the evaluation scores of all the evaluation indicators of each candidate oil-impregnated paper in the scheme layer to obtain the final total evaluation score of the candidate oil-impregnated paper. Sort based on the final total evaluation score to complete the evaluation of the insulation performance of the oil-impregnated paper.

2. The comprehensive evaluation method for the insulating performance of oil-impregnated paper according to claim 1, wherein, The evaluation indicators include dielectric strength, relative dielectric constant, dielectric loss factor, volume resistivity, and surface resistivity.

3. The comprehensive evaluation method for the insulating performance of oil-impregnated paper according to claim 1, characterized in that The step of subjectively weighting all the evaluation indicators in the oil-impregnated paper insulation performance index system by the analytic hierarchy process to obtain the subjective weights of each evaluation indicator includes the following: Compare the oil-impregnated paper insulation performance evaluation indicators pairwise to judge the relative importance degree between each evaluation indicator, and obtain a judgment matrix. Calculate the m-th power of the product of the elements in each row of the judgment matrix to obtain an m-dimensional vector, where m is the number of evaluation indicators. Standardize the m-dimensional vector to obtain the subjective weights of each evaluation indicator. Calculate the maximum eigenvalue of the judgment matrix based on the subjective weights of each evaluation indicator. Conduct a consistency test on the judgment matrix based on the maximum eigenvalue of the judgment matrix. If the consistency test fails, modify the judgment matrix until the consistency test passes, and recalculate the subjective weights of each evaluation indicator.

4. The comprehensive evaluation method for the insulation performance of oil-impregnated paper according to claim 3, characterized in that Use the 9-level scale method to compare the oil-impregnated paper insulation performance evaluation indicators pairwise.

5. The comprehensive evaluation method for the insulating performance of oil-impregnated paper according to claim 1, characterized in that, The step of objectively weighting the quantified data of all the evaluation indicators in the oil-impregnated paper insulation performance index system by the entropy weight method to obtain the objective weights of each evaluation indicator includes: Determine the quantified data matrix of the evaluation indicators. The elements in the quantified data matrix of the evaluation indicators are the various evaluation indicators of all candidate oil-impregnated papers. Standardize the obtained data of the evaluation indicators to obtain the quantified data matrix of the evaluation indicators after standardization. Based on the elements in the quantified data matrix of the evaluation indicators after standardization, calculate the proportion of the standardized data of each evaluation indicator of each candidate oil-impregnated paper in this evaluation indicator. Calculate the entropy of each evaluation indicator based on the proportion of the standardized data of each evaluation indicator of each candidate oil-impregnated paper in this evaluation indicator. Calculate the information entropy redundancy of each evaluation indicator based on the entropy of each evaluation indicator. Calculate the objective weights of each evaluation indicator based on the information entropy redundancy of each evaluation indicator.

6. The comprehensive evaluation method for the insulating performance of oil-impregnated paper according to claim 1, characterized in that Calculate the comprehensive weights of each evaluation indicator for each candidate oil-impregnated paper through the following formula: ， Among them, is the comprehensive weight of the j-th evaluation index, w j is the subjective weight of the j-th evaluation index, u j is the objective weight of the j-th evaluation index, and a is the coefficient for adjusting the subjective weight and the objective weight.

7. The comprehensive evaluation method for the insulating performance of oil-impregnated paper according to claim 1, characterized in that, The evaluation scores of the corresponding evaluation indicators are obtained based on the data of each indicator in the oil-impregnated paper insulation material database after standardization processing and the comprehensive weights of the evaluation indicators, specifically as follows: Multiply the data of each indicator in the oil-impregnated paper insulation material database after standardization processing by the comprehensive weight to obtain the evaluation scores of each indicator.

8. Oil-impregnated paper insulation performance comprehensive evaluation system, characterized in that Including: A modeling unit for constructing a hierarchical structure model with the oil-impregnated paper insulation performance as the target. The hierarchical structure model includes a target layer, a criterion layer, and a scheme layer. The target layer is to evaluate the oil-impregnated paper insulation performance. The criterion layer includes evaluation indicators that meet the evaluation criteria, and an oil-impregnated paper insulation material database is established. The scheme layer is the candidate oil-impregnated paper. A hierarchical analysis unit for subjectively weighting the indicators in the oil-impregnated paper insulation performance index system through the analytic hierarchy process and calculating the subjective weights of each evaluation indicator. An entropy weight unit for objectively weighting the quantitative data of the indicators in the oil-impregnated paper insulation performance index system by using the entropy weight method and calculating the objective weights of each evaluation indicator. A comprehensive weighting unit for obtaining the comprehensive weights of the indicators by using the comprehensive weighting method for the subjective weights and objective weights. An evaluation unit for obtaining the evaluation scores of the corresponding evaluation indicators based on the matrix of the evaluation indicator quantitative data after standardization processing and the comprehensive weights of the evaluation indicators, adding up the evaluation scores of all evaluation indicators of each candidate oil-impregnated paper product in the scheme layer to obtain the final total evaluation score and sorting, and completing the evaluation of the oil-impregnated paper insulation performance.

9. An electronic device, characterized in that, Including: At least one processor; And, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor. The instructions are executed by the at least one processor so that the at least one processor can execute the comprehensive evaluation method for the oil-impregnated paper insulation performance according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the comprehensive evaluation method for the oil-impregnated paper insulation performance according to any one of claims 1 to 7.

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