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CN-121998447-A - Quantitative processing method and system for converting scientific and technological achievements into benefits of power grid enterprises

CN121998447ACN 121998447 ACN121998447 ACN 121998447ACN-121998447-A

Abstract

A method and a system for quantitatively processing the conversion benefit of scientific and technological achievements of power grid enterprises. The method comprises the steps of constructing a quantitative evaluation model of the conversion benefit of the scientific achievement of the power grid enterprise based on scientific value, technical value, economic value, social value and cultural value indexes, layering all indexes of the evaluation model, determining an elastic coefficient according to importance of all layers of indexes, obtaining an influence function of all indexes based on the elastic coefficient, calculating weights of all indexes through the influence function, constructing a Vague value evaluation statement of all indexes through a Vague set theory, converting the evaluation statement into a Vague set evaluation matrix, and comprehensively evaluating the conversion benefit of the scientific achievement of the power grid enterprise based on the Vague set evaluation matrix and the weights of all indexes. The scheme of the invention realizes the accurate quantification and the optimal management of the comprehensive benefit of the technological achievement conversion.

Inventors

  • FAN WEI
  • LIU WANSONG
  • LIU ZHICHENG
  • ZHU SITONG
  • Han Yingzhu
  • ZHANG JIANZHI
  • DUAN FANGWEI
  • ZHAO ZHENYANG
  • WU ZIHAN

Assignees

  • 国网辽宁省电力有限公司电力科学研究院

Dates

Publication Date
20260508
Application Date
20251215

Claims (10)

  1. 1. The utility model provides a power grid enterprise scientific and technological achievement conversion benefit quantification processing method which is characterized by comprising the following steps: step1, constructing a quantitative evaluation model of the conversion benefit of the scientific achievements of the power grid enterprises based on scientific value, technical value, economic value, social value and cultural value indexes; step 2, layering all indexes of the evaluation model, determining an elastic coefficient according to the importance of the indexes of each layer, obtaining an influence function of each index based on the elastic coefficient, and calculating the weight of each index through the influence function; And 3, constructing a Vague value evaluation statement of each index through a Vague set theory, converting the evaluation statement into a Vague set evaluation matrix, and comprehensively evaluating the technological achievement conversion benefit of the power grid enterprise based on the Vague set evaluation matrix and the weight of each index.
  2. 2. The method of claim 1, wherein the scientific value comprises a principle or method innovation degree, a technical standard forming capability and a key technical breakthrough number index, the technical value comprises a technical maturity improvement level, a reliability or safety improvement rate and a key technical performance parameter improvement degree index, the economic value comprises an internal investment return rate, an external market income scale and an asset utilization efficiency improvement rate index, the social value comprises a clean energy consumption contribution degree, a power supply quality and user satisfaction degree and an industrial chain driving effect index, and the cultural value comprises an innovation culture and brand image improvement effect, talent culture and team construction, knowledge precipitation and sharing level index.
  3. 3. The method for quantifying conversion benefit of a scientific achievement of a power grid enterprise according to claim 2, wherein the layering the indexes of the evaluation model further comprises: Based on expert opinion in index collection The index with the maximum index importance degree is predetermined in the index as the optimal index ; Dividing the rest indexes except the optimal indexes into different levels according to the importance degree of the indexes: a layer, wherein the indexes with the same importance as the optimal index or the indexes with the importance less than twice of the optimal index are selected from other indexes except the optimal index; the layer is an index with the importance being two to three times lower than that of the optimal index in the residual indexes; And so on, Layer of lower importance than the optimal index in the remaining indexes Multiple times to A multiple index.
  4. 4. The method for quantifying conversion benefit of scientific and technological achievements of power grid enterprises according to claim 3, wherein the determining the elasticity coefficient according to the importance of each layer of index further comprises: For the divided hierarchy , : (1) And for any one If (if) Then ; At any level In defining an optimal index in a layer Comparing the importance of other indexes in the layer with the optimal index, and recording the result as ; Represent the first In the level of The importance of each index compared with the optimal index of the layer is defined Is interval of The integer of the above: (2) in the formula, Representing a collection The number of indexes in (a); According to Value definition elastic coefficient : 。
  5. 5. The method for quantifying conversion benefit of a scientific achievement of a power grid enterprise according to claim 4, wherein the calculating the weight of each index through the influence function further comprises: Calculating the influence function of each index : (3) In the formula, Represent the first In level (III) A number of indicators; According to Calculating the weight of the optimal index: (4) the weights of the other indexes are calculated as follows: (5) finally obtaining the weights of all indexes 。
  6. 6. The method for quantifying the conversion benefit of a scientific achievement of a power grid enterprise according to claim 5, wherein the converting the evaluation statement into a Vague set evaluation matrix further comprises: judging all indexes one by expert according to a given comment set, if so Representing any conversion benefit evaluation index and setting a comment set as Constructing a Vague set evaluation matrix R between the evaluation index system C and the comment set V: (6) Each row represents 5 comment grades, each column corresponds to the membership degree of each evaluation index to a Vague set of a certain grade in the comment set, Indicating index Corresponding comment level Vague value comments of (1), and have ; , 。
  7. 7. The method for quantifying conversion benefit of technological achievement of power grid enterprise according to claim 6, wherein the comprehensively evaluating conversion benefit of technological achievement of power grid enterprise based on the Vague set evaluation matrix and the weight of each index further comprises: according to the weights W of the indexes and the Vague set evaluation matrix R, carrying out comprehensive evaluation based on the Vague set: (7) (8) in the formula, For the comprehensive evaluation result based on the Vague set, For evaluating the grade of the object to be evaluated Is a comment on the Vague value of (c), The operator for matrix multiplication in the Vague set, Finite sum operator for Vague set; judging an evaluation result according to a membership maximum principle, and adopting a relative scoring function as a ranking rule of membership of the Vague set: (11)。
  8. 8. The utility model provides a power grid enterprise scientific and technological achievement conversion benefit quantization processing system which characterized in that includes: the evaluation model construction module is used for constructing a quantitative evaluation model of the technological achievement conversion benefit of the power grid enterprise based on scientific value, technical value, economic value, social value and cultural value indexes; The index weighting module is used for layering all indexes of the evaluation model, determining an elastic coefficient according to the importance of the indexes of all layers, obtaining an influence function of each index based on the elastic coefficient, and calculating the weight of each index through the influence function; The comprehensive evaluation module is used for constructing a Vague value evaluation statement of each index through a Vague set theory, converting the evaluation statement into a Vague set evaluation matrix, and comprehensively evaluating the technological achievement conversion benefit of the power grid enterprise based on the Vague set evaluation matrix and the weight of each index.
  9. 9. A terminal comprises a processor and a storage medium, and is characterized in that: The storage medium is used for storing instructions; the processor is configured to operate according to the instructions to perform the steps of the grid enterprise scientific and technological achievement transformation benefit quantification processing method according to any of claims 1-7.
  10. 10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the grid enterprise technological outcome conversion benefit quantification processing method according to any of claims 1-7.

Description

Quantitative processing method and system for converting scientific and technological achievements into benefits of power grid enterprises Technical Field The invention belongs to the field of scientific and technological achievement conversion evaluation, and particularly relates to a quantitative processing method and a quantitative processing system for scientific and technological achievement conversion benefit of a power grid enterprise. Background Under the background of energy structure transformation and novel power system acceleration construction, the power grid enterprises serve as the core implementation main body of the national energy strategy, and the technological achievement transformation efficiency and the benefit of the power grid enterprises are directly related to the innovation driving development capability and the sustainable development level of the power industry. In recent years, the country highly pays attention to the perfection of a technological innovation and achievement evaluation system, clearly provides the five-element value of 'science, technology, economy, society and culture' for comprehensively and accurately evaluating technological achievement, releases relevant national standards and provides a scientific, systematic and unified standard framework for technological achievement evaluation. The power grid enterprises actively respond to the national policy, revise the technological achievement conversion management method and explore the innovation mode, and aim to improve the overall efficiency of the innovation management system. However, the conventional evaluation method focuses on the economic value single dimension, and fails to systematically reflect the comprehensive performance of technological achievements in multiple value dimensions such as strategic coordination, social benefit, environmental contribution, technical introduction and the like, so that the evaluation result is monolithic, the decision support capability is limited, and the accurate measurement requirement for the comprehensive benefit of the technological achievements in the novel electric power system background cannot be fully met. In the prior art, in the evaluation of the conversion benefit of the scientific and technological achievement of the power grid enterprise, an Analytic Hierarchy Process (AHP) and a traditional fuzzy comprehensive evaluation method are widely applied. The analytic hierarchy process relies on pairwise comparison of relative importance among indexes by experts, weight distribution distortion is easy to be caused by inconsistent judgment matrixes, and the comparison times are obviously increased along with the increase of the number of the indexes, so that the computational complexity is high and the efficiency is low. The membership function of the traditional fuzzy comprehensive evaluation method is simpler to design, a single membership value is usually adopted, mixed information such as support, objection and disclaimer in expert evaluation cannot be fully expressed, intermediate information is lost, and an evaluation result is easy to deviate from the actual situation. In addition, the conventional method faces challenges in index quantization, balanced measurement of five-membered value is difficult to realize, quantization deviation or information loss often occurs particularly when dimensions such as technical value, social value and cultural value are processed, an effective measuring tool is lacking, and comprehensive and accurate quantitative evaluation is difficult to realize. Disclosure of Invention In order to solve the defects in the prior art, the invention provides a quantitative processing method and a quantitative processing system for the technological achievement conversion benefit of a power grid enterprise, so as to solve the technical problems in the existing technological achievement conversion benefit evaluation method of the power grid enterprise. In order to solve the technical problems, the invention adopts the following technical scheme. The invention firstly discloses a quantitative treatment method for converting scientific and technological achievements into benefits of power grid enterprises, which comprises the following steps: step1, constructing a quantitative evaluation model of the conversion benefit of the scientific achievements of the power grid enterprises based on scientific value, technical value, economic value, social value and cultural value indexes; step 2, layering all indexes of the evaluation model, determining an elastic coefficient according to the importance of the indexes of each layer, obtaining an influence function of each index based on the elastic coefficient, and calculating the weight of each index through the influence function; And 3, constructing a Vague value evaluation statement of each index through a Vague set theory, converting the evaluation statement into a Vague set evaluation matrix, and