Method, device and equipment for auditing comprehensive effect of power transmission and transformation project and medium

Abstract

The invention discloses a power transmission and transformation project comprehensive effect auditing method and device, equipment and a medium, and relates to the technical field of multi-dimensional data analysis, a perfect evaluation index system is constructed, and a fuzzy scoring method and an objective weight empowerment method are adopted to perform weight calculation on the evaluation index system, so that a comprehensive weight is obtained, and the auditing accuracy of the comprehensive effect of a power transmission and transformation project is improved. Multi-dimensional evaluation factors can be considered, so that the auditing efficiency and accuracy of the comprehensive effect are improved. Moreover, the conflict between the indexes can be considered through an objective weight determination method, so that the information difference of the indexes in the auditing scheme is better reflected, and the auditing accuracy is improved.

Description

Technical Field

[0001] The present application relates to the technical field of multi-dimensional data analysis, and in particular to an audit method, device, equipment and medium for the comprehensive effectiveness of power transmission and transformation projects. Background Art

[0002] With the development of multi-dimensional data analysis technology, the development of a comprehensive audit system for power transmission and transformation projects can provide reference for project planning, investment plan preparation, project construction management, etc. At the same time, it can guide power grid planning, optimize grid structure and investment scale, thereby effectively avoiding investment redundancy and low investment efficiency.

[0003] In the related art, the audit method of power transmission and transformation projects is usually to establish a fuzzy relationship matrix of evaluation indicators, then use the hierarchical analysis method to calculate the comprehensive weight, and finally obtain the final audit result based on the product of the fuzzy relationship matrix and the comprehensive weight. However, the applicant recognizes that the evaluation indicator system and indicator calculation process of the traditional audit method are not perfect, and the evaluation factors are relatively single, resulting in low efficiency and accuracy of the audit. Moreover, when the hierarchical analysis method is used, it is easy to cause the accuracy of the audit results to be low due to incomplete information. Summary of the invention

[0004] In view of this, the present application provides an audit method, device, equipment and medium for the comprehensive effectiveness of power transmission and transformation projects. The main purpose is to solve the problems that the evaluation index system and index calculation process of traditional audit methods are not perfect, the evaluation factors are relatively single, resulting in low audit efficiency and accuracy, and when using hierarchical analysis method, it is easy to cause low accuracy of audit results due to incomplete information.

[0005] According to the first aspect of the present application, a method for auditing the comprehensive effectiveness of a power transmission and transformation project is provided, the method comprising:

[0006] Acquire a power transmission and transformation project evaluation index system, and extract N third-level indicators from the power transmission and transformation project evaluation index system;

[0007] Based on the project information of K power transmission and transformation projects, the N third-level indicators are calculated respectively by using fuzzy scoring method and objective weighting method to obtain the professional knowledge weight set and objective weight set corresponding to each power transmission and transformation project;

[0008] Performing weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects respectively to obtain a comprehensive weight set corresponding to each of the power transmission and transformation projects;

[0009] The first-level index value corresponding to each of the power transmission and transformation projects is determined by calculating the comprehensive weight set corresponding to each of the power transmission and transformation projects, and the first-level index values ​​of the K power transmission and transformation projects are calculated using the rank sum ratio method to obtain a comprehensive effectiveness audit result.

[0010] According to the second aspect of the present application, there is provided an audit device for the comprehensive effectiveness of a power transmission and transformation project, the device comprising:

[0011] An acquisition module is used to acquire an evaluation index system for a power transmission and transformation project, and extract N third-level indicators from the evaluation index system for a power transmission and transformation project;

[0012] The first weight calculation module is used to calculate the N third-level indicators based on the project information of the K power transmission and transformation projects by using the fuzzy scoring method and the objective weighting method to obtain the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects;

[0013] A second weight calculation module is used to perform weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects, respectively, to obtain a comprehensive weight set corresponding to each of the power transmission and transformation projects;

[0014] The audit module is used to calculate and determine the primary indicator value corresponding to each of the power transmission and transformation projects using the comprehensive weight set corresponding to each of the power transmission and transformation projects, and to calculate the primary indicator values ​​of the K power transmission and transformation projects using the rank sum ratio method to obtain a comprehensive effectiveness audit result.

[0015] According to a third aspect of the present application, a device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the methods described in the first aspect when executing the computer program.

[0016] According to a fourth aspect of the present application, a medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the methods described in the first aspect are implemented.

[0017] By means of the above technical scheme, the present application provides an audit method, device, equipment and medium for the comprehensive effectiveness of power transmission and transformation projects. The present application obtains the evaluation index system of power transmission and transformation projects, extracts N third-level indicators from the evaluation index system of power transmission and transformation projects, and calculates the N third-level indicators respectively based on the project information of K power transmission and transformation projects by using fuzzy scoring method and objective weighting method, obtains the professional knowledge weight set and objective weight set corresponding to each power transmission and transformation project, respectively performs weighted calculation on the professional knowledge weight set and objective weight set corresponding to each power transmission and transformation project, obtains the comprehensive weight set corresponding to each power transmission and transformation project, uses the comprehensive weight set corresponding to each power transmission and transformation project to calculate and determine the first-level indicator value corresponding to each power transmission and transformation project, and uses the rank sum ratio method to calculate the first-level indicator values ​​of K power transmission and transformation projects, and obtains the comprehensive effectiveness audit result. The present application constructs a complete evaluation index system, and uses fuzzy scoring method and objective weighting method to calculate the weight of the evaluation index system respectively, and then obtains the comprehensive weight, which can take into account the multi-dimensional evaluation factors, thereby improving the audit efficiency and accuracy of the comprehensive effectiveness. Moreover, the objective weighting method can take into account the conflicts between indicators, thereby better reflecting the information differences of indicators in the audit plan and improving the accuracy of the audit.

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0020] Figure 1 A schematic diagram of a flow chart of an audit method for comprehensive effectiveness of a power transmission and transformation project provided in an embodiment of the present application is shown;

[0021] Figure 2A A schematic diagram of another audit method for comprehensive effectiveness of a power transmission and transformation project provided in an embodiment of the present application is shown;

[0022] Figure 2B A schematic diagram of an evaluation index system for a power transmission and transformation project provided in an embodiment of the present application is shown;

[0023] Figure 2C A schematic diagram of a preferred judgment matrix provided in an embodiment of the present application is shown;

[0024] Figure 2D A schematic diagram of an evaluation matrix provided in an embodiment of the present application is shown;

[0025] Figure 2E A schematic diagram of an original data matrix provided in an embodiment of the present application is shown;

[0026] Figure 2F A schematic diagram of a post-evaluation method for comprehensive effectiveness of a power transmission and transformation project provided in an embodiment of the present application is shown;

[0027] Figure 3 A schematic diagram of an audit structure for comprehensive effectiveness of a power transmission and transformation project provided by an embodiment of the present application is shown;

[0028] Figure 4 A schematic diagram of the device structure of a device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0029] The exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0030] The present application embodiment provides a method for auditing the comprehensive effectiveness of a power transmission and transformation project, such as Figure 1 As shown, the method includes:

[0031] 101. Obtain an evaluation index system for power transmission and transformation projects, and extract N third-level indicators from the evaluation index system for power transmission and transformation projects.

[0032] This application proposes an audit method for the comprehensive effectiveness of power transmission and transformation projects, constructs a power transmission and transformation project evaluation index system, and determines the professional knowledge weight set and objective weight set corresponding to each power transmission and transformation project based on the fuzzy scoring method and the objective weighting method, and further determines the comprehensive weight according to the professional knowledge weight set and the objective weight set, and then reduces the three-level indicators to the first-level indicators, and finally uses the rank sum ratio method to audit the first-level indicators. The execution subject of this application can be a comprehensive effectiveness audit system, which relies on the computing power of the server to provide services to users. The server can be an independent server, or it can provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms and other basic cloud computing servers, so that the comprehensive effectiveness audit system can conduct a more comprehensive audit of the comprehensive benefits of power transmission and transformation projects.

[0033] In the embodiment of the present application, the comprehensive performance audit system obtains the power transmission and transformation project evaluation index system, and extracts N third-level indicators from the power transmission and transformation project evaluation index system. Among them, the power transmission and transformation project evaluation index system includes S first-level indicators, and the S first-level indicators include a total of N third-level indicators.

[0034] 102. Based on the project information of K power transmission and transformation projects, the fuzzy scoring method and the objective weighting method are used to calculate the N third-level indicators respectively, and the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project are obtained.

[0035] In the embodiment of the present application, the comprehensive performance audit system is based on the project information of K power transmission and transformation projects, and uses the fuzzy scoring method and the objective weighting method to calculate the N third-level indicators respectively, and obtain the professional knowledge weight set and objective weight set corresponding to each power transmission and transformation project. Among them, the project information includes the expert scores of multiple experts on the power transmission and transformation project, the operating costs of the power transmission and transformation project, the cash flow of the power transmission and transformation project and other data, which are used to calculate the professional knowledge weight set and objective weight set of the power transmission and transformation project.

[0036] 103. Perform weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project to obtain a comprehensive weight set corresponding to each power transmission and transformation project.

[0037] In the embodiment of the present application, the comprehensive effectiveness audit system performs weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, respectively, to obtain the comprehensive weight set corresponding to each power transmission and transformation project. The fuzzy scoring method can screen out the three-level indicators and their weights suitable for the comprehensive effectiveness audit of the power transmission and transformation project in the power transmission and transformation project evaluation index system, and the objective weighting method can take into account the conflicts between the indicators, thereby better reflecting the information differences of the indicators in the audit plan and improving the accuracy of the comprehensive effectiveness audit.

[0038] 104. Use the comprehensive weight set corresponding to each power transmission and transformation project to calculate and determine the primary indicator value corresponding to each power transmission and transformation project, and use the rank sum ratio method to calculate the primary indicator values ​​of K power transmission and transformation projects to obtain the comprehensive performance audit results.

[0039] In the embodiment of the present application, the comprehensive effectiveness audit system uses the comprehensive weight set corresponding to each power transmission and transformation project to calculate and determine the primary index value corresponding to each power transmission and transformation project, and uses the rank sum ratio method to calculate the primary index values ​​of K power transmission and transformation projects to obtain the comprehensive effectiveness audit results, which can reduce the complexity of the data and facilitate the calculation and audit of the comprehensive effectiveness audit system. Moreover, the rank sum ratio method has no special requirements for the selection of indicators and can be applied to various audit objects, thereby improving the generalization and accuracy of indicator audits.

[0040] The method provided in the embodiment of the present application obtains the evaluation index system of the power transmission and transformation project, extracts N third-level indicators from the evaluation index system of the power transmission and transformation project, and calculates the N third-level indicators respectively based on the project information of K power transmission and transformation projects by using the fuzzy scoring method and the objective weighting method, obtains the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, respectively performs weighted calculation on the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, obtains the comprehensive weight set corresponding to each power transmission and transformation project, and uses the comprehensive weight set corresponding to each power transmission and transformation project to calculate and determine the first-level indicator value corresponding to each power transmission and transformation project, and uses the rank sum ratio method to calculate the first-level indicator value of K power transmission and transformation projects, and obtains the comprehensive effectiveness audit result. The present application constructs a complete evaluation index system, and uses the fuzzy scoring method and the objective weighting method to calculate the weight of the evaluation index system respectively, and then obtains the comprehensive weight, which can take into account the multi-dimensional evaluation factors, thereby improving the audit efficiency and accuracy of the comprehensive effectiveness. Moreover, the objective weighting method can consider the conflict between indicators, thereby better reflecting the information difference of the indicators in the audit plan and improving the accuracy of the audit.

[0041] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of this embodiment, the embodiment of the present application provides another audit method for the comprehensive effectiveness of the power transmission and transformation project, such as Figure 2A As shown, the method includes:

[0042] 201. Obtain an evaluation index system for a power transmission and transformation project, and extract N third-level indicators from the evaluation index system for a power transmission and transformation project.

[0043] In the embodiment of the present application, the comprehensive performance audit system obtains the power transmission and transformation project evaluation index system, and extracts N third-level indicators from the power transmission and transformation project evaluation index system. Figure 2B As shown in the figure, the evaluation index system for power transmission and transformation projects includes four first-level indicators: economic benefits, safe operation, environment and society, and preliminary planning effects. The four first-level indicators include a total of 40 third-level indicators, as follows:

[0044] The first-level indicator economic benefits includes 16 third-level indicators, including annual project profit, internal rate of return of total financial investment (before and after tax), internal rate of return of project capital (before and after tax), financial net present value (before and after tax), static project investment payback period (before and after tax), dynamic project investment payback period (before and after tax), total investment rate of return, net capital rate of return, debt repayment reserve ratio, interest reserve ratio, unit line length cost, unit transformer capacity cost, unit asset operation and maintenance cost, unit electricity transmission and distribution cost, unit investment annual increase in power supply, and sensitivity coefficient;

[0045] The first-level indicators for safe operation include 11 third-level indicators, including main transformer load rate (average, maximum), line load rate (average, maximum), transformer loss rate, line loss rate, capacity-load ratio, maximum load power factor, load increment, bus voltage qualification rate, line N-1, power supply reliability rate (RS-1 / 2 / 3), and trip rate;

[0046] The first-level indicators of environment and society include nine third-level indicators: power frequency electric field intensity, magnetic induction intensity, average sewage concentration, noise intensity, solid waste disposal rate, contribution of technological progress, carbon emissions, GDP support, and service quality improvement;

[0047] The first-level indicator of preliminary planning results includes four third-level indicators: planning consistency rate, feasibility study consistency rate, investment savings rate, and one-time acceptance rate.

[0048] 202. For each power transmission and transformation project, expert scoring data is extracted from the project information of the power transmission and transformation project, and each third-level indicator is calculated respectively using the fuzzy scoring method and the expert scoring data to obtain the applicability evaluation scores of N third-level indicators.

[0049] In an embodiment of the present application, for each power transmission and transformation project, the comprehensive performance audit system extracts expert scoring data from the project information of the power transmission and transformation project, and uses the expert scoring data and N third-level indicators to generate N optimal judgment matrices.

[0050] Specifically, for each third-level indicator, the comprehensive effectiveness audit system extracts the scoring data corresponding to the third-level indicator from the expert scoring data, where the expert scoring data includes N scoring data, and the scoring data is the scoring of the third-level indicator by multiple experts based on X evaluation aspects. For example, the X evaluation aspects include five aspects: comprehensive representativeness, measurability, comparability, substitutability, and comprehensive guidance.

[0051] Next, the comprehensive effectiveness audit system takes the X scoring aspects as a factor set, namely U = (u1, u2, ..., u X ), and then obtain Y evaluation scores, and use the Y evaluation scores as the evaluation set, that is, V = (v1, v2, ..., v Y ). Among them, the factor set is a set of elements that affect the evaluation indicators, and the evaluation set is a set of evaluation levels. For example, the evaluation aspects include comprehensive representativeness, measurability, comparability, substitutability, and comprehensive guidance, that is, U = (u1, u2, ..., u5), and the evaluation levels are 5 points, 4 points, 3 points, 2 points, and 1 point, that is, V = (v1, v2, ..., v5). Subsequently, the comprehensive effectiveness audit system uses the scoring data, factor set, and evaluation set to generate the optimal judgment matrix corresponding to the three-level indicators. Figure 2CAs shown, the first column of the optimal judgment matrix is ​​five evaluation aspects, the first row is five evaluation levels, and the value 2 in the second row and second column indicates that two experts scored the comprehensive representativeness of the current three-level indicators as 5 points.

[0052] Then, the comprehensive effectiveness audit system obtains the weight distribution vector A = (a1, a2, ..., a X ), the weight distribution vector is used to calculate the membership of the optimal judgment matrix, and the evaluation matrix corresponding to the three-level indicators is obtained. By standardizing the evaluation levels of different thresholds to represent the proportion of each evaluation level in the total score, the membership degree d∈[0,1] is obtained. Then the membership degree of the i-th element in the factor set U to the first element in the evaluation set V is d i,1 .like Figure 2D As shown, for a single factor u in the factor set U i The evaluation can be expressed by fuzzy set D i =(d i,1 ,d i,2 ,…,d i,5 ), so 5 u i The evaluation set constitutes D 5*5 .

[0053] Then, through fuzzy transformation, the fuzzy vector A of the factor set U is transformed into the fuzzy vector B of the evaluation set V. That is, the comprehensive effectiveness audit system uses the weight distribution vector and the evaluation matrix to calculate and determine the fuzzy vector corresponding to the three-level indicators. The calculation formula is the following formula 1:

[0054] Formula 1: B 1*Y =A 1*X ·D X*Y

[0055] Among them, B 1*Y is the fuzzy vector, A 1*X is the weight assignment vector, D X*Y is the evaluation matrix.

[0056] Finally, the comprehensive effectiveness audit system obtains the scoring vector S and uses the fuzzy vector and the scoring vector to calculate and determine the applicability evaluation score of the three-level indicators, where the scoring vector S = (s1, s2, …, s Y ) is the score of the evaluation set V, which corresponds to the scores corresponding to different evaluation levels in the evaluation set V. In the embodiment of the present application, it is the same as the evaluation set V, that is, S = (5, 4, 3, 2, 1). The calculation formula of the applicability evaluation score is the following formula 1:

[0057]

[0058] Among them, F is the applicability evaluation score of the three-level indicators, B 1*Y is the fuzzy vector corresponding to the three-level index, S1*Y is the rating vector.

[0059] 203. The professional knowledge weights of the M target third-level indicators are calculated based on the applicability evaluation scores of the N third-level indicators, and the professional knowledge weight set corresponding to the power transmission and transformation project is generated using the professional knowledge weights of the M target third-level indicators.

[0060] In the embodiment of the present application, the comprehensive effectiveness audit system obtains a preset screening rule, which can be determined by a threshold value or extracted by a ratio. Then, the comprehensive effectiveness audit system selects M target third-level indicators from the N third-level indicators using the applicability evaluation scores of the N third-level indicators according to the preset screening rules. For example, the 40 third-level indicators are sorted in descending order according to the applicability evaluation scores, and the first 40% of the third-level indicators are selected as the target third-level indicators, and 16 target third-level indicators are obtained.

[0061] Subsequently, the comprehensive effectiveness audit system uses the applicability evaluation scores of the M target level 3 indicators to calculate and determine the professional knowledge weights of the M target level 3 indicators. The calculation formula is the following formula 1:

[0062]

[0063] Among them, α m is the professional knowledge weight of the target third-level indicator m, F m is the applicability evaluation score of the target third-level indicator m, and M is the total number of target third-level indicators.

[0064] 204. Based on the objective weighting method, the project information is used to calculate the N third-level indicators to obtain the objective weights of the M target third-level indicators, and the objective weight set corresponding to the transmission and transformation project is generated using the objective weights of the M target third-level indicators.

[0065] In the embodiment of the present application, the comprehensive performance audit system uses the project information of each power transmission and transformation project to calculate the value of each third-level indicator, and obtains N indicator values ​​corresponding to each power transmission and transformation project. For example, for the 40 third-level indicators included in the power transmission and transformation project evaluation indicator system, the calculation process of the indicator value is as follows:

[0066] 1. Annual project profit = income - operating costs - discounts - taxes;

[0067] 2. The internal rate of return (IRR) of the total financial investment (before and after tax) is the discount rate at which the net present value is zero, and the calculation formula is the following formula 2:

[0068] Formula 2:

[0069] Among them, C tis the cash flow in year t, IRR is the internal rate of return of the total financial investment;

[0070] 3. The calculation formula of the internal rate of return of project capital (before and after tax) is similar to the internal rate of return of total financial investment, except that only the capital part is considered;

[0071] 4. The calculation formula of financial net present value (before and after tax) is the following formula 3:

[0072] Formula 3:

[0073] Among them, C t is the net cash flow in year t, r is the discount rate, I0 is the initial investment, and NPV is the financial net present value;

[0074] 5. The static investment payback period (before and after tax) of a project is the ratio of the initial investment to the average annual net cash flow;

[0075] 6. The dynamic payback period of a project (before and after tax) takes into account the time value of cash flow and is usually calculated by the year when the cumulative cash flow reaches zero;

[0076] 7. The total investment rate of return is the ratio of net profit to total investment;

[0077] 8. Net profit margin of capital is the ratio of net profit of capital to capital;

[0078] 9. The debt service coverage ratio is the ratio of cash flow from operating activities to the amount of debt repayment;

[0079] 10. Interest coverage ratio is the ratio of cash flow from operating activities to interest expenses;

[0080] 11. The cost per unit line length is the ratio of total investment to total line length;

[0081] 12. The unit transformer capacity cost is the ratio of total investment to transformer capacity;

[0082] 13. Unit asset operation and maintenance costs are the ratio of annual operation and maintenance costs to total asset value;

[0083] 14. The transmission and distribution cost per unit of electricity is the ratio of the total transmission and distribution cost to the annual electricity volume;

[0084] 15. The annual increase in power supply per unit investment is the ratio of the annual increase to the annual investment amount;

[0085] 16. The sensitivity coefficient is the ratio of the percentage change of the variable to the percentage change of the target variable;

[0086] 17. The main transformer load rate (average, maximum) is the ratio of actual load to rated load;

[0087] 18. Line load factor (average, maximum) is the ratio of actual load to line rated load;

[0088] 19. Transformation loss rate is the ratio of transformer loss to total input power;

[0089] 20. Line loss rate is the ratio of line loss to the amount of electricity transmitted;

[0090] 21. The capacity-load ratio is the ratio of the maximum load to the equipment's capacity;

[0091] 22. The maximum load power factor is the ratio of active power to apparent power;

[0092] 23. Load increment = current load - previous load;

[0093] 24. The bus voltage qualified rate is the ratio of qualified voltage time to total voltage time;

[0094] 25. Line N-1 means that when a line fails, the system can still maintain normal operation. Line N-1 audit is usually carried out through the redundant design of the power grid;

[0095] 26. Power supply reliability rate (RS-1 / 2 / 3) is the ratio of (total power supply duration - power outage duration) to the total power supply duration;

[0096] 27. The trip rate is the ratio of the number of trips to the total number of operations;

[0097] 28. The power frequency electric field strength is the ratio of voltage to distance;

[0098] 29. Magnetic induction intensity is the ratio of magnetic flux to area;

[0099] 30. The average concentration of sewage is the ratio of the mass of pollutants in the sewage to the volume of the sewage;

[0100] 31. The calculation formula of noise intensity is as follows:

[0101] Formula 4:

[0102] Where P is the noise power at the measurement point, and P0 is the reference noise power;

[0103] 32. Solid waste disposal rate is the ratio of the amount of waste disposed to the amount of waste generated;

[0104] 33. The contribution of technological progress is the ratio of the efficiency increase or savings brought about by technological progress to the total benefits or savings;

[0105] 34. Carbon emissions are the product of fuel consumption and unit carbon emission factor;

[0106] 35. The degree of improvement in service user quality is the ratio of (user satisfaction after improvement - user satisfaction before improvement) to user satisfaction before improvement;

[0107] 36. The ratio of the economic increment contributed by the project to the total GDP;

[0108] 37. The planning consistency rate is the ratio of the number of projects that are consistent with the plan to the total number of projects;

[0109] 38. The feasibility study consistency rate is the ratio of the number of projects that are consistent with the feasibility study report to the total number of projects;

[0110] 39. Investment saving rate is the ratio of saving investment to initial investment;

[0111] 40. The first-time acceptance rate is the ratio of the number of projects that pass the first-time acceptance to the total number of projects.

[0112] Next, the comprehensive performance audit system uses the N indicator values ​​corresponding to each power transmission and transformation project to establish an original data matrix. The original data matrix is ​​as follows: Figure 2E As shown, x 11 It represents the value of the third-level indicator 1 corresponding to project 1. Then, the comprehensive effectiveness audit system normalizes the original data matrix and obtains K×N evaluation parameters x kn Among them, the normalization processing is forward processing or reverse processing. If the evaluation parameter is a benefit-type indicator, the normalization calculation formula is as follows: Formula 5:

[0113] Formula 5:

[0114] Among them, efficiency indicators such as revenue, profit and other indicators, x kn represents the value of the nth third-level indicator of the kth project, x nmax Indicates the maximum value of the nth third-level indicator in all projects, x nmin It represents the minimum value of the nth third-level indicator in all projects; if the evaluation parameter is a cost-type indicator, the normalized calculation formula is as follows:

[0115] Formula 6:

[0116] Among them, cost-type indicators such as cost, construction cost, etc. nmax Indicates the maximum value of the nth third-level indicator in all projects, x nmin It indicates the minimum value of the nth third-level indicator among all projects.

[0117] Then, the comprehensive effectiveness audit system uses K×N evaluation parameters to calculate the standard deviation of each third-level indicator, and obtains the standard deviation of N third-level indicators. The larger the standard deviation, the greater the difference of the indicator, and the more weight should be allocated. Therefore, the calculation formula is the following formula 7:

[0118] Formula 7:

[0119] Among them, x kn is the evaluation parameter corresponding to the third-level indicator n of the power transmission and transformation project k, is the average value of the three-level index n, K is the total number of power transmission and transformation projects, S n is the standard deviation of the third-level indicator n.

[0120] Then calculate the indicator conflict. Specifically, the comprehensive performance audit system obtains the indicator correlation coefficient matrix, uses the indicator correlation coefficient matrix to calculate and determine the total correlation coefficient of each third-level indicator, and obtains the total correlation coefficient of N third-level indicators. The calculation formula is the following formula 8:

[0121] Formula 8:

[0122] Among them, r in is the correlation coefficient between the third-level indicator i and the third-level indicator n in the indicator correlation coefficient matrix, r in The larger the value, the more relevant the third-level indicator i is to the third-level indicator n, the less conflict there is, and the less weight should be allocated. N is the total number of third-level indicators, R n is the total correlation coefficient of the third-level indicator n, which is used to indicate the total conflict between the third-level indicator n and all other third-level indicators.

[0123] Subsequently, the comprehensive effectiveness audit system uses the standard deviation of N third-level indicators and the total correlation coefficient of N third-level indicators to calculate the information content of each third-level indicator, and obtains the information content of N third-level indicators. The calculation formula is the following formula 9:

[0124] Formula 9: C n =S n *R n

[0125] Among them, S n is the standard deviation of the third-level index n, R n is the total correlation coefficient of the three-level index n, C n is the amount of information of the third-level indicator n.

[0126] Finally, the comprehensive effectiveness audit system extracts the information volume of M target third-level indicators from the information volume of N third-level indicators, and uses the information volume of M target third-level indicators to calculate and determine the objective weights of the M target third-level indicators. The calculation formula is the following formula 10:

[0127] Formula 10:

[0128] Among them, β m is the objective weight of the target third-level indicator m, C m is the information volume of the target third-level indicator m, and M is the total number of target third-level indicators. Compared with the traditional hierarchical analysis method, the objective weighting method can take into account the conflict between indicators, thereby better reflecting the information differences of indicators in the audit plan and improving the accuracy of the audit.

[0129] 205. Based on the project information of K power transmission and transformation projects, the fuzzy scoring method and the objective weighting method are used to calculate the N third-level indicators respectively, and the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project are obtained.

[0130] In an embodiment of the present application, the comprehensive effectiveness audit system processes each power transmission and transformation project based on the above process, obtains the professional knowledge weight set and objective weight set corresponding to each power transmission and transformation project, and calculates the weights of the evaluation index system through fuzzy scoring method and objective weighting method, and then obtains the comprehensive weight. It can take into account multi-dimensional evaluation factors, thereby improving the efficiency and accuracy of the audit of comprehensive effectiveness.

[0131] 206. Perform weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project respectively to obtain a comprehensive weight set corresponding to each power transmission and transformation project.

[0132] In an embodiment of the present application, for each power transmission and transformation project, the comprehensive performance audit system extracts the professional knowledge weights of M target third-level indicators from the professional knowledge weight set corresponding to the power transmission and transformation project, and extracts the objective weights of M target third-level indicators from the objective weight set corresponding to the power transmission and transformation project.

[0133] Next, the comprehensive effectiveness audit system obtains the multiplication synthesis method, and uses the multiplication synthesis method to perform weighted calculation on the professional knowledge weights of the M target three-level indicators and the objective weights of the M target three-level indicators to obtain the comprehensive weights of the M target three-level indicators. The calculation formula is the following formula 11:

[0134] Formula 11: γ m =α n *β m

[0135] Among them, β m is the objective weight of the target third-level indicator m, α m is the professional knowledge weight of the target third-level indicator m, γ mis the comprehensive weight of the target third-level indicator m. Then, the comprehensive performance audit system uses the comprehensive weights of M target third-level indicators to generate the comprehensive weight set corresponding to the power transmission and transformation project.

[0136] 207. The first-level index value corresponding to each power transmission and transformation project is determined by calculating the comprehensive weight set corresponding to each power transmission and transformation project.

[0137] In an embodiment of the present application, for each power transmission and transformation project, the comprehensive effectiveness audit system obtains M target three-level indicators corresponding to the power transmission and transformation project, and extracts the comprehensive weights of the M target three-level indicators from the comprehensive weight set corresponding to the power transmission and transformation project. Next, the comprehensive effectiveness audit system extracts S first-level indicators from the power transmission and transformation project evaluation index system, and determines multiple target three-level indicators under each first-level indicator based on the power transmission and transformation project evaluation index system and the M target three-level indicators. Subsequently, the comprehensive effectiveness audit system counts the number of target three-level indicators corresponding to each first-level indicator, and uses the multiple target three-level indicators under each first-level indicator, the number of target three-level indicators corresponding to each first-level indicator, and the comprehensive weights of the M target three-level indicators to calculate the values ​​of the S first-level indicators, and obtain the S target indicator values ​​corresponding to the power transmission and transformation project. The calculation formula is the following formula 12:

[0138] Formula 12:

[0139] Among them, ω s is the target index value, which is the value of the first-level index s, β p is the comprehensive weight of the target third-level indicator p under the first-level indicator s, P is the number of target third-level indicators corresponding to the first-level indicator s, M is the total number of target third-level indicators, γ m is the comprehensive weight of the target third-level indicator m. Then, the comprehensive performance audit system uses the S target indicator values ​​corresponding to the power transmission and transformation project as the first-level indicator values ​​corresponding to the power transmission and transformation project.

[0140] 208. The rank sum ratio method is used to calculate the primary indicator values ​​of K power transmission and transformation projects to obtain the comprehensive performance audit results.

[0141] In the embodiment of the present application, the comprehensive effectiveness audit system uses the first-level indicator values ​​corresponding to K power transmission and transformation projects to construct a comprehensive evaluation matrix, where the first-level indicator values ​​include S target indicator values. Then, the comprehensive effectiveness audit system obtains the non-integer rank sum ratio method, and uses the non-integer rank sum ratio method to calculate the comprehensive evaluation matrix to obtain K×S comprehensive evaluation parameters. Specifically, if the parameters in the comprehensive evaluation matrix are benefit-type indicators, the calculation formula of the comprehensive evaluation parameters is the following formula 13:

[0142] Formula 13:

[0143] Among them, Gks is a comprehensive evaluation parameter, x ks is the parameter of the kth row and sth column in the comprehensive evaluation matrix, min(x 1s ,…,x Ks ) represents the minimum value of the sth first-level indicator in all projects, max(x 1s ,…,x Ks ) represents the maximum value of the sth first-level indicator in all projects; if the parameter in the comprehensive evaluation matrix is ​​a cost-type indicator, the calculation formula of the comprehensive evaluation parameter is the following formula 14:

[0144] Formula 14:

[0145] Among them, G ks is a comprehensive evaluation parameter, x ks is the parameter of the kth row and sth column in the comprehensive evaluation matrix, min(x 1s ,…,x Ks ) represents the minimum value of the sth first-level indicator in all projects, max(x 1s ,…,x Ks ) represents the maximum value of the sth first-level indicator among all projects.

[0146] Subsequently, the comprehensive effectiveness audit system obtains the evaluation index weight set, calculates the K×S comprehensive evaluation parameters and the evaluation index weight set, and obtains the rank sum ratio of K power transmission and transformation projects. The calculation formula is as follows15:

[0147] Formula 15:

[0148] Among them, WRSR k is the rank sum ratio of the power transmission and transformation project k, in the interval [1 / n,1], K is the total number of power transmission and transformation projects, S is the total number of target first-level indicators, ω s is the weight of the first-level indicator s in the evaluation indicator weight set, G ks It is the comprehensive evaluation parameter corresponding to the primary indicator s of the power transmission and transformation project k.

[0149] Then, the comprehensive effectiveness audit system converts the WRSR value into a WRSR distribution based on the probability model Probit. Specifically, the rank sum ratios of the K power transmission and transformation projects are sorted in order from small to large to obtain the sorting results, and the cumulative frequencies of the K power transmission and transformation projects are calculated using the sorting results. At the same time, the downward cumulative frequency G / n*100% is calculated, and the last item is filled with (1-1 / 4n)*100%. Then, the probability units of the K power transmission and transformation projects are determined according to the cumulative frequencies of the K power transmission and transformation projects. The percentage and probability unit comparison table can be queried according to the cumulative frequency to find the corresponding probability unit Probit value. Subsequently, with the probability unit Probit value as the independent variable and the rank sum ratio WRSR value as the dependent variable, a regression analysis is performed on the rank sum ratios of the K power transmission and transformation projects and the probability units of the K power transmission and transformation projects to obtain the corrected rank sum ratios of the K power transmission and transformation projects.

[0150] Finally, the comprehensive effectiveness audit system obtains the project classification rules, and evaluates the K power transmission and transformation projects according to the project classification rules and the corrected rank and ratio of the K power transmission and transformation projects to obtain the comprehensive effectiveness audit results. For example, the K power transmission and transformation projects are sorted in descending order according to the corrected rank and ratio, and then the projects are divided into [10%, 50%, 90%] intervals, and the audit results correspond to excellent, good, qualified, and unqualified respectively.

[0151] Based on the above process, a schematic diagram of a post-evaluation method for the comprehensive effectiveness of a power transmission and transformation project proposed in an embodiment of the present application is as follows:

[0152] like Figure 2F As shown in the figure, based on the optimal judgment matrix method combined with expert scoring, the optimal judgment matrix level is confirmed from five aspects. Then, the expert scores are converted into professional knowledge weights using the fuzzy scoring method and representative indicators are screened out. Subsequently, the values ​​of the three-level indicators of all power transmission and transformation projects are calculated, and the weights of the three-level indicators are calculated using the CRITIC weight method. Then, the professional knowledge weights and CRITIC weights of the obtained three-level indicators are weighted and synthesized using the multiplication synthesis method to obtain the comprehensive weights of the three-level indicators, and the three-level indicators are converted into first-level indicators. Finally, the rank sum ratio method is used to calculate the WRSR values ​​of the three-level indicators of all power transmission and transformation projects, and the first-level indicators and the total indicators are ranked, and the hierarchical range is defined, which can provide a comprehensive reference basis for supporting scientific decision-making in power transmission and transformation projects and improving the precise investment capabilities of power grid companies.

[0153] The method provided in the embodiment of the present application obtains the evaluation index system of the power transmission and transformation project, extracts N third-level indicators from the evaluation index system of the power transmission and transformation project, and calculates the N third-level indicators respectively based on the project information of K power transmission and transformation projects by using the fuzzy scoring method and the objective weighting method, obtains the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, respectively performs weighted calculation on the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, obtains the comprehensive weight set corresponding to each power transmission and transformation project, and uses the comprehensive weight set corresponding to each power transmission and transformation project to calculate and determine the first-level indicator value corresponding to each power transmission and transformation project, and uses the rank sum ratio method to calculate the first-level indicator value of K power transmission and transformation projects, and obtains the comprehensive effectiveness audit result. The present application constructs a complete evaluation index system, and uses the fuzzy scoring method and the objective weighting method to calculate the weight of the evaluation index system respectively, and then obtains the comprehensive weight, which can take into account the multi-dimensional evaluation factors, thereby improving the audit efficiency and accuracy of the comprehensive effectiveness. Moreover, the objective weighting method can consider the conflict between indicators, thereby better reflecting the information difference of the indicators in the audit plan and improving the accuracy of the audit.

[0154] Further, as Figure 1 The specific implementation of the method, the embodiment of the present application provides an audit device for the comprehensive effectiveness of power transmission and transformation projects, such as Figure 3 As shown, the device includes: an acquisition module 301, a first weight calculation module 302, a second weight calculation module 303 and an audit module 304.

[0155] An acquisition module 301 is used to acquire an evaluation index system for a power transmission and transformation project, and extract N third-level indicators from the evaluation index system for a power transmission and transformation project;

[0156] The first weight calculation module 302 is used to calculate the N third-level indicators based on the project information of the K power transmission and transformation projects by using the fuzzy scoring method and the objective weighting method to obtain the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects;

[0157] The second weight calculation module 303 is used to perform weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects, respectively, to obtain a comprehensive weight set corresponding to each of the power transmission and transformation projects;

[0158] The audit module 304 is used to calculate and determine the primary indicator value corresponding to each of the power transmission and transformation projects using the comprehensive weight set corresponding to each of the power transmission and transformation projects, and to calculate the primary indicator values ​​of the K power transmission and transformation projects using the rank sum ratio method to obtain a comprehensive effectiveness audit result.

[0159] In a specific application scenario, the first weight calculation module 302 is used to extract expert scoring data from the project information of each power transmission and transformation project, and use the fuzzy scoring method to calculate N preferred judgment matrices to obtain professional knowledge weights of M target three-level indicators, where the N preferred judgment matrices are generated by the expert scoring data and the N three-level indicators; use the professional knowledge weights of the M target three-level indicators to generate a professional knowledge weight set corresponding to the power transmission and transformation project; based on the objective weighting method, use the project information to calculate the N three-level indicators to obtain the objective weights of the M target three-level indicators, and use the objective weights of the M target three-level indicators to generate an objective weight set corresponding to the power transmission and transformation project; use the fuzzy scoring method and the objective weighting method to calculate each of the power transmission and transformation projects respectively to obtain the professional knowledge weight set and objective weight set corresponding to the K power transmission and transformation projects.

[0160] In a specific application scenario, the first weight calculation module 302 is used to extract the scoring data corresponding to the third-level indicator from the expert scoring data for each of the third-level indicators, wherein the scoring data is the scoring of the third-level indicator by multiple experts based on X evaluation aspects; taking the X scoring aspects as a factor set, obtaining Y evaluation scores, taking the Y evaluation scores as an evaluation set, and using the scoring data, the factor set, and the evaluation set to generate a preferred judgment matrix corresponding to the third-level indicator; obtaining a weight distribution vector, using the weight distribution vector to calculate the membership of the preferred judgment matrix, and obtaining the evaluation matrix corresponding to the third-level indicator; using the weight distribution vector and the evaluation matrix to calculate and determine the fuzzy vector corresponding to the third-level indicator, wherein,

[0161] B 1*Y =A 1*X ·D X*Y

[0162] Among them, B 1*Y is the fuzzy vector, A 1*X is the weight assignment vector, D X*Y is the evaluation matrix; obtaining a scoring vector, and using the fuzzy vector and the scoring vector to calculate and determine the applicability evaluation score of the three-level indicators, wherein,

[0163]

[0164] Among them, F is the applicability evaluation score of the three-level indicators, B 1*Y is the fuzzy vector corresponding to the three-level index, S 1*Yis the scoring vector; the fuzzy scoring method and the expert scoring data are used to calculate each of the three-level indicators respectively to obtain the applicability evaluation scores of the N three-level indicators; a preset screening rule is obtained, and the applicability evaluation scores of the N three-level indicators are used to select M target three-level indicators from the N three-level indicators according to the preset screening rule; the applicability evaluation scores of the M target three-level indicators are used to calculate and determine the professional knowledge weights of the M target three-level indicators, wherein,

[0165]

[0166] Among them, α m is the professional knowledge weight of the target third-level indicator m, F m is the applicability evaluation score of the target third-level indicator m, and M is the total number of target third-level indicators.

[0167] In a specific application scenario, the first weight calculation module 302 is used to respectively use the project information of each of the power transmission and transformation projects to calculate the value of each of the three-level indicators to obtain N indicator values ​​corresponding to each of the power transmission and transformation projects; use the N indicator values ​​corresponding to each of the power transmission and transformation projects to establish an original data matrix, and perform normalization processing on the original data matrix to obtain K×N evaluation parameters, wherein the normalization processing is forward processing or reverse processing; use the K×N evaluation parameters to calculate the standard deviation of each of the three-level indicators to obtain the standard deviation of the N three-level indicators, wherein,

[0168]

[0169] Among them, x kn is the evaluation parameter corresponding to the third-level indicator n of the power transmission and transformation project k, is the average value of the three-level index n, K is the total number of power transmission and transformation projects, S n is the standard deviation of the third-level indicator n; obtain the indicator correlation coefficient matrix, use the indicator correlation coefficient matrix to calculate and determine the total correlation coefficient of each of the third-level indicators, and obtain the total correlation coefficient of the N third-level indicators, where,

[0170]

[0171] Among them, r in is the correlation coefficient between the third-level indicator i and the third-level indicator n in the indicator correlation coefficient matrix, N is the total number of third-level indicators, R n is the total correlation coefficient of the three-level indicator n; the standard deviation of the N three-level indicators and the total correlation coefficient of the N three-level indicators are used to calculate the information content of each of the three-level indicators to obtain the information content of the N three-level indicators, wherein,

[0172] C n=S n *R n

[0173] Among them, S n is the standard deviation of the third-level index n, R n is the total correlation coefficient of the three-level index n, C n is the information amount of the third-level indicator n; the information amount of the M target third-level indicators is extracted from the information amount of the N third-level indicators, and the objective weight of the M target third-level indicators is calculated and determined by using the information amount of the M target third-level indicators, wherein,

[0174]

[0175] Among them, β m is the objective weight of the target third-level indicator m, C m is the information amount of the target third-level indicator m, and M is the total number of target third-level indicators.

[0176] In a specific application scenario, the second weight calculation module 303 is used to extract the professional knowledge weights of M target three-level indicators from the professional knowledge weight set corresponding to the power transmission and transformation project for each of the power transmission and transformation projects, and extract the objective weights of the M target three-level indicators from the objective weight set corresponding to the power transmission and transformation project; obtain the multiplication synthesis method, and use the multiplication synthesis method to perform weighted calculation on the professional knowledge weights of the M target three-level indicators and the objective weights of the M target three-level indicators to obtain the comprehensive weights of the M target three-level indicators, wherein,

[0177] γ m =α m β m

[0178] Among them, β m is the objective weight of the target third-level indicator m, α m is the professional knowledge weight of the target third-level indicator m, γ m is the comprehensive weight of the target third-level indicator m; and the comprehensive weight set corresponding to the power transmission and transformation project is generated using the comprehensive weights of the M target third-level indicators.

[0179] In a specific application scenario, the audit module 304 is used to obtain, for each of the power transmission and transformation projects, M target three-level indicators corresponding to the power transmission and transformation project, and extract the comprehensive weights of the M target three-level indicators from the comprehensive weight set corresponding to the power transmission and transformation project; extract S first-level indicators from the power transmission and transformation project evaluation index system, and determine multiple target three-level indicators under each of the first-level indicators based on the power transmission and transformation project evaluation index system and the M target three-level indicators; count the number of target three-level indicators corresponding to each of the first-level indicators, and use the multiple target three-level indicators under each of the first-level indicators, the number of target three-level indicators corresponding to each of the first-level indicators, and the comprehensive weights of the M target three-level indicators to calculate the values ​​of the S first-level indicators to obtain the S target indicator values ​​corresponding to the power transmission and transformation project, wherein,

[0180]

[0181] Among them, ω s is the target index value, which is the value of the first-level index s, γ p is the comprehensive weight of the target third-level indicator p under the first-level indicator s, P is the number of target third-level indicators corresponding to the first-level indicator s, M is the total number of target third-level indicators, γ m is the comprehensive weight of the target third-level indicator m; the S target indicator values ​​corresponding to the power transmission and transformation project are used as the first-level indicator values ​​corresponding to the power transmission and transformation project.

[0182] In a specific application scenario, the audit module 304 is used to construct a comprehensive evaluation matrix using the primary index values ​​corresponding to the K power transmission and transformation projects, wherein the primary index values ​​include S target index values; obtain a non-integer rank sum ratio method, and use the non-integer rank sum ratio method to calculate the comprehensive evaluation matrix to obtain K×S comprehensive evaluation parameters; obtain an evaluation index weight set, and calculate the K×S comprehensive evaluation parameters and the evaluation index weight set to obtain the rank sum ratio of the K power transmission and transformation projects, wherein,

[0183]

[0184] Among them, WRSR k is the rank sum ratio of power transmission and transformation project k, K is the total number of power transmission and transformation projects, S is the total number of target first-level indicators, ω s is the weight of the first-level indicator s in the evaluation indicator weight set, G ksis the comprehensive evaluation parameter corresponding to the primary indicator s of the power transmission and transformation project k; the rank sum ratios of the K power transmission and transformation projects are sorted in ascending order to obtain a sorting result, and the cumulative frequency of the K power transmission and transformation projects is calculated using the sorting result; the probability unit of the K power transmission and transformation projects is determined according to the cumulative frequency of the K power transmission and transformation projects, and a regression analysis is performed on the rank sum ratios of the K power transmission and transformation projects and the probability units of the K power transmission and transformation projects to obtain a corrected rank sum ratio of the K power transmission and transformation projects; a project grading rule is obtained, and the K power transmission and transformation projects are graded according to the corrected rank sum ratios of the K power transmission and transformation projects according to the project grading rule to obtain the comprehensive effectiveness audit result.

[0185] The device provided in the embodiment of the present application obtains the evaluation index system of the power transmission and transformation project, extracts N third-level indicators from the evaluation index system of the power transmission and transformation project, and calculates the N third-level indicators respectively based on the project information of K power transmission and transformation projects by using the fuzzy scoring method and the objective weighting method, obtains the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, respectively performs weighted calculation on the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, obtains the comprehensive weight set corresponding to each power transmission and transformation project, and uses the comprehensive weight set corresponding to each power transmission and transformation project to calculate and determine the first-level indicator value corresponding to each power transmission and transformation project, and uses the rank sum ratio method to calculate the first-level indicator value of K power transmission and transformation projects, and obtains the comprehensive effectiveness audit result. The present application constructs a complete evaluation index system, and uses the fuzzy scoring method and the objective weighting method to calculate the weight of the evaluation index system respectively, and then obtains the comprehensive weight, which can take into account the multi-dimensional evaluation factors, thereby improving the audit efficiency and accuracy of the comprehensive effectiveness. Moreover, the objective weighting method can consider the conflict between indicators, thereby better reflecting the information difference of the indicators in the audit plan and improving the accuracy of the audit.

[0186] It should be noted that for other corresponding descriptions of the functional units involved in the audit device for the comprehensive effectiveness of a power transmission and transformation project provided in the embodiment of the present application, reference can be made to Figure 1 and FIG. 2A to FIG. 2F The corresponding description in will not be repeated here.

[0187] 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 used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0188] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0189] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

[0190] In an exemplary embodiment, see Figure 4 , and also provides a device, which includes a bus, a processor, a memory and a communication interface, and may also include an input and output interface and a display device, wherein each functional unit can communicate with each other through the bus. The memory stores a computer program, and the processor is used to execute the program stored in the memory and execute the audit method for the comprehensive effectiveness of the power transmission and transformation project in the above embodiment.

[0191] A medium stores a computer program, which, when executed by a processor, implements the steps of the method for auditing the comprehensive effectiveness of a power transmission and transformation project.

[0192] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by hardware, or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present application.

[0193] Those skilled in the art will appreciate that the accompanying drawings are merely schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily required for implementing the present application.

[0194] Those skilled in the art will appreciate that the modules in the device in the implementation scenario can be distributed in the device in the implementation scenario according to the implementation scenario description, or can be changed accordingly and located in one or more devices different from the implementation scenario. The modules in the above implementation scenario can be combined into one module, or can be further split into multiple sub-modules.

[0195] The above application serial numbers are for description only and do not represent the advantages or disadvantages of the implementation scenarios.

[0196] The above disclosure only discloses several specific implementation scenarios of the present application. However, the present application is not limited thereto, and any changes that can be conceived by technicians in this field should fall within the scope of protection of the present application.

Claims

1. A method for auditing the comprehensive effectiveness of power transmission and transformation projects, characterized in that: include: Acquire a power transmission and transformation project evaluation index system, and extract N third-level indicators from the power transmission and transformation project evaluation index system; Based on the project information of K power transmission and transformation projects, the N third-level indicators are calculated respectively by using fuzzy scoring method and objective weighting method to obtain the professional knowledge weight set and objective weight set corresponding to each power transmission and transformation project; Performing weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects respectively to obtain a comprehensive weight set corresponding to each of the power transmission and transformation projects; The first-level index value corresponding to each of the power transmission and transformation projects is determined by calculating the comprehensive weight set corresponding to each of the power transmission and transformation projects, and the first-level index values ​​of the K power transmission and transformation projects are calculated using the rank sum ratio method to obtain a comprehensive effectiveness audit result.

2. The method according to claim 1, characterized in that Based on the project information of the K power transmission and transformation projects, the N third-level indicators are calculated respectively by using the fuzzy scoring method and the objective weighting method to obtain the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project, including: For each of the power transmission and transformation projects, expert scoring data is extracted from the project information of the power transmission and transformation project, and the fuzzy scoring method is used to calculate N optimal judgment matrices to obtain professional knowledge weights of M target three-level indicators, wherein the N optimal judgment matrices are generated by the expert scoring data and the N three-level indicators; Generate a professional knowledge weight set corresponding to the power transmission and transformation project using the professional knowledge weights of the M target third-level indicators; Based on the objective weighting method, the N third-level indicators are calculated using the project information to obtain the objective weights of the M target third-level indicators, and the objective weight set corresponding to the power transmission and transformation project is generated using the objective weights of the M target third-level indicators; The fuzzy scoring method and the objective weighting method are used to calculate each of the power transmission and transformation projects respectively, so as to obtain the professional knowledge weight set and the objective weight set corresponding to the K power transmission and transformation projects.

3. The method according to claim 2, characterized in that The fuzzy scoring method is used to calculate N optimal judgment matrices to obtain the professional knowledge weights of M target third-level indicators, including: For each of the three-level indicators, extracting scoring data corresponding to the three-level indicator from the expert scoring data, wherein the scoring data is a score of the three-level indicator by multiple experts based on X evaluation aspects; Taking the X scoring aspects as a factor set, obtaining Y evaluation scores, taking the Y evaluation scores as an evaluation set, and using the scoring data, the factor set, and the evaluation set to generate a preferred judgment matrix corresponding to the three-level indicators; Obtaining a weight distribution vector, and using the weight distribution vector to calculate the membership degree of the optimization judgment matrix to obtain an evaluation matrix corresponding to the three-level indicators; The weight distribution vector and the evaluation matrix are used to calculate and determine the fuzzy vector corresponding to the three-level index, wherein: B 1*Y =A 1*X ·D X*Y Among them, B 1*Y is the fuzzy vector, A 1*X is the weight assignment vector, D X*Y is the evaluation matrix; Obtain a scoring vector, and use the fuzzy vector and the scoring vector to calculate and determine the applicability evaluation score of the three-level indicator, wherein: Among them, F is the applicability evaluation score of the three-level indicators, B 1*Y is the fuzzy vector corresponding to the three-level index, S 1*Y is the score vector; The fuzzy scoring method and the expert scoring data are used to calculate each of the three-level indicators respectively to obtain the applicability evaluation scores of the N three-level indicators; Obtaining a preset screening rule, and selecting M target third-level indicators from the N third-level indicators using the applicability evaluation scores of the N third-level indicators according to the preset screening rule; The professional knowledge weights of the M target level 3 indicators are determined by calculating the applicability evaluation scores of the M target level 3 indicators, where: Among them, α m is the professional knowledge weight of the target third-level indicator m, F m is the applicability evaluation score of the target third-level indicator m, and M is the total number of target third-level indicators.

4. The method according to claim 2, characterized in that: The objective weighting method is based on the objective weighting method, and the N third-level indicators are calculated using the project information to obtain the objective weights of the M target third-level indicators, including: Using the project information of each of the power transmission and transformation projects respectively to calculate the value of each of the three-level indicators, and obtain N indicator values ​​corresponding to each of the power transmission and transformation projects; Using the N index values ​​corresponding to each of the power transmission and transformation projects to establish an original data matrix, normalizing the original data matrix to obtain K×N evaluation parameters, wherein the normalization process is a forward process or an inverse process; The standard deviation of each of the three-level indicators is calculated using the K×N evaluation parameters to obtain the standard deviation of the N three-level indicators, wherein: Among them, x kn is the evaluation parameter corresponding to the third-level indicator n of the power transmission and transformation project k, is the average value of the three-level index n, K is the total number of power transmission and transformation projects, S n is the standard deviation of the third-level indicator n; Obtain an indicator correlation coefficient matrix, and use the indicator correlation coefficient matrix to calculate and determine the total correlation coefficient of each of the three-level indicators to obtain the total correlation coefficient of the N three-level indicators, where: Among them, r in is the correlation coefficient between the third-level indicator i and the third-level indicator n in the indicator correlation coefficient matrix, N is the total number of third-level indicators, R n is the total correlation coefficient of the three-level indicator n; The information amount of each of the three-level indicators is calculated by using the standard deviation of the N three-level indicators and the total correlation coefficient of the N three-level indicators to obtain the information amount of the N three-level indicators, wherein: C n =S n *R n Among them, S n is the standard deviation of the third-level index n, R n is the total correlation coefficient of the three-level index n, C n is the information content of the third-level indicator n; The information amount of the M target third-level indicators is extracted from the information amount of the N third-level indicators, and the objective weights of the M target third-level indicators are calculated and determined by using the information amount of the M target third-level indicators, wherein: Among them, β m is the objective weight of the target third-level indicator m, C m is the information amount of the target third-level indicator m, and M is the total number of target third-level indicators.

5. The method according to claim 1, characterized in that: The weighted calculation is performed on the professional knowledge weight set and the objective weight set corresponding to each power transmission and transformation project to obtain a comprehensive weight set corresponding to each power transmission and transformation project, including: For each of the power transmission and transformation projects, the professional knowledge weights of the M target level 3 indicators are extracted from the professional knowledge weight set corresponding to the power transmission and transformation project, and the objective weights of the M target level 3 indicators are extracted from the objective weight set corresponding to the power transmission and transformation project; A multiplication synthesis method is obtained, and the professional knowledge weights of the M target level 3 indicators and the objective weights of the M target level 3 indicators are weighted by the multiplication synthesis method to obtain the comprehensive weights of the M target level 3 indicators, wherein: c m =a m *b m Among them, β m is the objective weight of the target third-level indicator m, α m is the professional knowledge weight of the target third-level indicator m, γ m is the comprehensive weight of the target third-level indicator m; The comprehensive weight set corresponding to the power transmission and transformation project is generated by using the comprehensive weights of the M target third-level indicators.

6. The method according to claim 1, characterized in that The method of calculating and determining the primary index value corresponding to each power transmission and transformation project by using the comprehensive weight set corresponding to each power transmission and transformation project includes: For each of the power transmission and transformation projects, M target level 3 indicators corresponding to the power transmission and transformation project are obtained, and the comprehensive weights of the M target level 3 indicators are extracted from the comprehensive weight set corresponding to the power transmission and transformation project; Extracting S first-level indicators from the power transmission and transformation project evaluation indicator system, and determining a plurality of target third-level indicators under each of the first-level indicators according to the power transmission and transformation project evaluation indicator system and the M target third-level indicators; The number of target level 3 indicators corresponding to each of the first-level indicators is counted, and the values ​​of the S first-level indicators are calculated using the multiple target level 3 indicators under each of the first-level indicators, the number of target level 3 indicators corresponding to each of the first-level indicators, and the comprehensive weights of the M target level 3 indicators to obtain the S target indicator values ​​corresponding to the power transmission and transformation project, wherein: Among them, ω s is the target index value, which is the value of the first-level index s, γ p is the comprehensive weight of the target third-level indicator p under the first-level indicator s, P is the number of target third-level indicators corresponding to the first-level indicator s, M is the total number of target third-level indicators, γ m is the comprehensive weight of the target third-level indicator m; The S target index values ​​corresponding to the power transmission and transformation project are used as the primary index values ​​corresponding to the power transmission and transformation project.

7. The method according to claim 1, characterized in that The rank sum ratio method is used to calculate the primary index values ​​of the K power transmission and transformation projects to obtain comprehensive performance audit results, including: A comprehensive evaluation matrix is ​​constructed using the first-level index values ​​corresponding to the K power transmission and transformation projects, wherein the first-level index values ​​include S target index values; Obtaining a non-integer rank sum ratio method, and using the non-integer rank sum ratio method to calculate the comprehensive evaluation matrix to obtain K×S comprehensive evaluation parameters; Obtain an evaluation index weight set, calculate the K×S comprehensive evaluation parameters and the evaluation index weight set, and obtain the rank sum ratio of the K power transmission and transformation projects, where: Among them, WRSR k is the rank sum ratio of power transmission and transformation project k, K is the total number of power transmission and transformation projects, S is the total number of target first-level indicators, ω s is the weight of the first-level indicator s in the evaluation indicator weight set, G ks is the comprehensive evaluation parameter corresponding to the primary indicator s of the power transmission and transformation project k; Sorting the rank sum ratios of the K power transmission and transformation projects in ascending order to obtain a sorting result, and calculating the cumulative frequency of the K power transmission and transformation projects using the sorting result; Determine the probability units of the K power transmission and transformation projects according to the cumulative frequencies of the K power transmission and transformation projects, perform regression analysis on the rank sum ratios of the K power transmission and transformation projects and the probability units of the K power transmission and transformation projects, and obtain the corrected rank sum ratios of the K power transmission and transformation projects; Obtain project grading rules, and perform grade assessment on the K power transmission and transformation projects according to the project grading rules and the corrected rank and ratio values ​​of the K power transmission and transformation projects to obtain the comprehensive effectiveness audit result.

8. An audit device for the comprehensive effectiveness of power transmission and transformation projects, characterized in that: include: An acquisition module is used to acquire an evaluation index system for a power transmission and transformation project, and extract N third-level indicators from the evaluation index system for a power transmission and transformation project; The first weight calculation module is used to calculate the N third-level indicators based on the project information of the K power transmission and transformation projects by using the fuzzy scoring method and the objective weighting method to obtain the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects; A second weight calculation module is used to perform weighted calculations on the professional knowledge weight set and the objective weight set corresponding to each of the power transmission and transformation projects, respectively, to obtain a comprehensive weight set corresponding to each of the power transmission and transformation projects; The audit module is used to calculate and determine the primary indicator value corresponding to each of the power transmission and transformation projects using the comprehensive weight set corresponding to each of the power transmission and transformation projects, and to calculate the primary indicator values ​​of the K power transmission and transformation projects using the rank sum ratio method to obtain a comprehensive effectiveness audit result.

9. A device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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