Scientific and technological innovation level evaluation method and device for power grid company, medium and product

Abstract

The invention discloses a power grid company scientific and technological innovation level evaluation method and device, a medium and a product, and relates to the technical field of power system intelligent optimization, and the method comprises the steps: constructing a power grid company scientific and technological innovation level index evaluation system; and respectively determining the weight of each index by using an analytic hierarchy process. The index is a first-level index or a second-level index; based on the secondary index score of the to-be-evaluated power grid company and the weight of each index in the power grid company scientific and technological innovation level index evaluation system, determining a comprehensive score of the scientific and technological innovation level of the to-be-evaluated power grid company; according to the technical scheme of the invention, the scientific and technological innovation level index evaluation system of the power grid company is established, and the weight of each index is determined based on the analytic hierarchy process, so that the scientific and technological innovation level of the power grid company can be evaluated from multiple dimensions.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent optimization of power systems, and in particular to a method, equipment, medium and product for evaluating the technological innovation level of a power grid company. Background Art

[0002] With the acceleration of global energy transformation, power grid companies, as an important part of the energy system, face multiple challenges such as energy structure adjustment, new energy access and rapid development of smart grid technology. They must continuously improve their level of scientific and technological innovation to cope with these changes. However, most of the existing evaluation methods for scientific and technological innovation rely on traditional financial data and project numbers, and have the following technical problems: 1) The evaluation dimension is single and cannot fully reflect the innovation capability: Most of the existing evaluation methods rely on traditional financial data and project numbers, lacking a comprehensive analysis of multiple dimensions such as innovation input, new technology application, innovation implementation and innovation output. Especially for power grid companies, the application of emerging technologies such as new energy access, energy storage systems, and intelligent dispatching has not been fully considered, resulting in the evaluation results being unable to fully and accurately reflect the overall innovation capability of power grid companies. 2) Unclear quantitative standards: The quantification and calculation methods of the evaluation indicators are imperfect, resulting in strong subjectivity and the evaluation results are not scientific and operational enough. 3) Ignoring the transformation of technological achievements: The existing evaluation system pays more attention to R&D investment and innovation output, ignoring the transformation and application of scientific and technological achievements in actual production, and cannot fully reflect the actual benefits of corporate innovation capabilities. 4) Lack of evaluation of new technology applications: With the rapid development of new energy access and energy storage technology, the technology application of power grid companies in these fields directly affects their innovation capabilities. However, the existing evaluation system fails to fully reflect key indicators such as the proportion of new energy access, consumption rate, energy storage system capacity and rate of return, resulting in the actual level of enterprises in new technology application cannot be effectively evaluated.

[0003] The existing evaluation system neglects the in-depth analysis of key dimensions such as innovation input, new technology application, innovation implementation and innovation output. This single-dimensional evaluation method is difficult to fully reflect the innovation performance of power grid companies in emerging technology fields such as new energy access, energy storage technology, intelligent dispatching and operation and maintenance systems. In addition, the existing methods are insufficient in the refinement of innovation input, and fail to accurately measure the capital investment in R&D personnel incentives, scientific and technological achievements transformation, and facilities and equipment, which affects the objective evaluation of corporate resource allocation and innovation effects. Therefore, there is an urgent need for a new evaluation index system that meets the development needs of power grid companies, can comprehensively evaluate their level of scientific and technological innovation, and provide a scientific basis for future development strategies. Summary of the invention

[0004] The purpose of this application is to provide a method, equipment, medium and product for evaluating the scientific and technological innovation level of a power grid company, to evaluate the scientific and technological innovation level of a power grid company from multiple dimensions, and to improve the accuracy and rationality of the evaluation of the scientific and technological innovation level of a power grid company.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In the first aspect, the present application provides a method for evaluating the scientific and technological innovation level of a power grid company, including:

[0007] Constructing an evaluation system for the scientific and technological innovation level of power grid companies; the evaluation system for the scientific and technological innovation level of power grid companies includes a plurality of first-level indicators and a plurality of second-level indicators corresponding to each first-level indicator;

[0008] Using the hierarchical analysis method, the weight of each indicator is determined respectively; the indicator is a primary indicator or a secondary indicator;

[0009] Obtain the secondary indicator scores of the power grid company to be evaluated;

[0010] Based on the secondary indicator scores of the grid companies to be evaluated and the weight of each indicator in the grid companies' scientific and technological innovation level indicator evaluation system, determine the comprehensive score of the grid companies' scientific and technological innovation level;

[0011] The level of scientific and technological innovation of the power grid company to be evaluated is determined based on the comprehensive score.

[0012] Optionally, the first-level indicators include: innovation input capability, innovation implementation capability, innovation output capability and new technology application capability.

[0013] Optionally, the secondary indicators corresponding to the innovation investment capacity include: the proportion of investment in incentive funds for R&D personnel, the proportion of investment in scientific and technological achievements transformation, the proportion of R&D funds for innovative projects, and the proportion of investment in R&D facilities and equipment;

[0014] The secondary indicators corresponding to the innovation implementation capability include: the proportion of net equipment value to original equipment value, the quality of R&D personnel, the proportion of approved scientific and technological projects to the total number of applied projects, and the income from the transformation of scientific and technological achievements;

[0015] The secondary indicators corresponding to the innovation output capacity include: national award-winning achievements, provincial and ministerial award-winning achievements, the level and quantity of published documents, and the number of successful R&D projects;

[0016] The secondary indicators corresponding to the new technology application capabilities include: new energy access ratio, new energy access consumption rate, energy storage system capacity share, energy storage system yield rate, intelligent dispatching system coverage rate and intelligent operation and maintenance system application rate.

[0017] Optionally, use the analytic hierarchy process to determine the weight of each indicator separately, including:

[0018] Construct a judgment matrix; any element a in the judgment matrix ij Indicates the comparison result of the importance of the i-th indicator and the j-th indicator;

[0019] Determine the maximum eigenvalue of the judgment matrix;

[0020] Based on the maximum eigenvalue and consistency test principle, the consistency test is determined.

[0021] Optionally, based on the secondary indicator scores of the grid company to be evaluated and the weight of each indicator in the grid company's scientific and technological innovation level indicator evaluation system, a comprehensive score of the scientific and technological innovation level of the grid company to be evaluated is determined, including:

[0022] Determine any first-level indicator as the current first-level indicator;

[0023] Determine all secondary indicators corresponding to the current primary indicator as the current secondary indicators;

[0024] Based on the weight of each current secondary indicator, the current secondary indicator scores of the power grid company to be evaluated are weighted and summed to obtain the current primary indicator score;

[0025] Update the current first-level indicator, and return to the step of "determining all the second-level indicators corresponding to the current first-level indicator as the current second-level indicators" until all first-level indicators are traversed to obtain multiple first-level indicator scores;

[0026] Based on the weight of each first-level indicator, the scores of multiple first-level indicators are weighted and summed to obtain a comprehensive score for the scientific and technological innovation level of the power grid company to be evaluated.

[0027] Optionally, the first-level indicator score is:

[0028]

[0029] Among them, X i is the score of the ith first-level indicator; m is the total number of second-level indicators corresponding to the ith first-level indicator; w j is the weight of the j-th secondary indicator corresponding to the ith first-level indicator; xj is the score of the j-th secondary indicator corresponding to the ith first-level indicator.

[0030] Optionally, the comprehensive score of the scientific and technological innovation level of the power grid company to be evaluated is:

[0031]

[0032] Among them, S is the comprehensive score of the scientific and technological innovation level of the power grid company to be evaluated; n is the total number of first-level indicators; Wi is the weight of the i-th first-level indicator; Xi is the score of the i-th first-level indicator.

[0033] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned method for evaluating the scientific and technological innovation level of a power grid company.

[0034] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for evaluating the scientific and technological innovation level of a power grid company.

[0035] In a fourth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for evaluating the scientific and technological innovation level of a power grid company.

[0036] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0037] The present application provides a method, equipment, medium and product for evaluating the scientific and technological innovation level of a power grid company. The constructed evaluation system not only covers the traditional basic dimensions such as innovation input and R&D results, but also refines the four key areas of innovation input capacity, new technology application capacity, innovation implementation capacity and innovation output capacity, and introduces key indicators related to new quality productivity and new power systems. Through in-depth analysis of these areas, it can comprehensively and accurately reflect the scientific and technological innovation capabilities of power grid companies. Different from the previous simple financial or project quantity evaluation, this application uses refined secondary indicators, such as the proportion of R&D personnel incentive funds, the proportion of new energy access, the proportion of energy storage system capacity, the coverage rate of intelligent dispatching systems, etc., to measure in detail the company's performance in various aspects such as capital investment, technology application and transformation of scientific and technological achievements. This makes the evaluation results more accurate and avoids the drawbacks of the traditional evaluation methods that are too rough. This application pays special attention to the transformation and application of scientific and technological achievements. Through indicators such as the ratio of scientific and technological achievement transformation income to investment and the proportion of approved scientific and technological projects in the total number of applied projects, the application evaluates the conversion rate and market benefits of the enterprise's scientific and technological innovation achievements in actual production, and promotes the industrialization and marketization of the enterprise's innovative achievements. This application has specially added the evaluation of new energy access, energy storage system and intelligent dispatching, operation and maintenance system and other new technology applications. Specifically, the application quantifies the innovation performance of enterprises in the field of emerging technologies through indicators such as the proportion of new energy access, energy storage system yield, and intelligent operation and maintenance system application rate, ensuring that the evaluation system can accurately reflect the technological innovation competitiveness of power grid companies in new power systems. Quantification of innovation implementation capabilities: Through indicators such as the proportion of equipment net value to equipment original value, the proportion of R&D personnel, and the quality strength of R&D personnel, this application can effectively evaluate the ability of enterprises in innovation resource investment, equipment modernization and R&D team building, and ensure the efficiency and sustainability of the innovation implementation process. This application adopts the Analytic Hierarchy Process (AHP) to weight the primary and secondary indicators to ensure that the relative importance of different indicators can be reasonably reflected. Through this scientific weight allocation method, the evaluation results are more objective and accurate, which is conducive to enterprises to fully understand their level of scientific and technological innovation; Adapt to the development of new power systems: The evaluation system of this application is particularly suitable for the development background of new power systems, and can help power grid companies improve their innovation capabilities in emerging fields such as new energy access, energy storage, and virtual power plants, and provide support for the green, low-carbon and intelligent development of power systems. By introducing the analytic hierarchy process (AHP) to reasonably allocate the weights of various indicators and build an optimized evaluation system, we can ensure a comprehensive and scientific evaluation of the level of scientific and technological innovation of power grid companies and help them formulate more accurate scientific and technological innovation strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 This is a flow chart of a method for evaluating the scientific and technological innovation level of a power grid company in one embodiment of the present application;

[0040] Figure 2 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0043] In an exemplary embodiment, Figure 1 As shown, a method for evaluating the scientific and technological innovation level of a power grid company is provided, including:

[0044] Step 101: Construct an evaluation system for the technological innovation level of power grid companies. As shown in Table 1, the evaluation system for the technological innovation level of power grid companies includes multiple first-level indicators and multiple second-level indicators corresponding to each first-level indicator.

[0045] Table 1 Evaluation system of scientific and technological innovation indicators of power grid companies

[0046]

[0047]

[0048] According to the actual needs and development direction of power grid enterprises in the process of scientific and technological innovation, the evaluation system sets four first-level indicators: innovation input capability, new technology application capability, innovation implementation capability and innovation output capability. Each first-level indicator is further refined into multiple second-level indicators to ensure a comprehensive evaluation of innovation capabilities.

[0049] (1) Innovation investment capability evaluates the power grid company’s investment in funds and resources in scientific and technological innovation, including:

[0050] Ratio of investment in R&D personnel incentives: refers to the proportion of funds used to incentivize R&D personnel in total R&D funds, reflecting the company's emphasis on talent innovation.

[0051] Proportion of funds invested in transformation of scientific and technological achievements: refers to the proportion of funds used to transform scientific and technological achievements into practical applications, which measures the company's support for the marketization of innovative achievements.

[0052] Ratio of R&D funds for innovative projects: The ratio of R&D funds used for innovative projects to total funds, reflecting the company's financial support for innovative projects.

[0053] R&D facility and equipment investment ratio: R&D infrastructure and equipment investment ratio, reflecting the company's investment in scientific research equipment.

[0054] (2) Innovation implementation capability: This is to assess the ability of enterprises to allocate resources and execute during the innovation process, including:

[0055] The ratio of net equipment value to original equipment value: reflects the degree of modernization of the equipment and measures the company's efforts in equipment renewal and technological investment.

[0056] R&D staff quality strength: Evaluate the overall quality of the R&D team through factors such as academic qualifications and professional titles, and measure the capabilities of the innovation team.

[0057] The proportion of R&D personnel to the total number of employees in the enterprise reflects the company's staffing situation for scientific and technological innovation.

[0058] (3) Innovation output capability: evaluates the company’s performance in transforming innovation results and achieving market benefits, including:

[0059] The income / input ratio of technology transformation: measures the economic benefits of technology transformation and reflects the marketization ability of enterprises' innovative achievements.

[0060] The proportion of approved scientific and technological projects to applied projects: measures the proportion of approved scientific and technological projects, reflecting the actual approval rate of the company's innovation projects.

[0061] Number of national award-winning achievements: reflects the national recognition of the company's scientific and technological innovation achievements.

[0062] Number of provincial and ministerial award-winning achievements: reflects the recognition of the company's scientific and technological innovation achievements at the provincial and ministerial levels.

[0063] The level and quantity of published papers, monographs, and patents: measures the output of the company in scientific research results.

[0064] Number of successful R&D projects / Total number of R&D projects: measures the success rate of R&D projects and reflects the actual effectiveness of the company's R&D investment.

[0065] (4) New technology application capabilities: evaluate the introduction and application of emerging technologies by power grid companies, including:

[0066] Renewable energy access ratio: refers to the proportion of new energy accessed to the enterprise's power grid to the total power access, reflecting the power grid company's application level in the field of new energy.

[0067] New energy access and consumption rate: reflects the proportion of new energy accessed by the power grid that is effectively consumed, and measures the actual utilization efficiency of new energy access.

[0068] Energy storage system capacity ratio: The capacity ratio of the energy storage system in the total power grid system reflects the company's application of energy storage technology.

[0069] Rate of return of energy storage system: measures the return on investment of energy storage system and reflects the economic benefits of energy storage technology.

[0070] Coverage rate of intelligent dispatching system: refers to the coverage of the intelligent dispatching system in the power grid, reflecting the company's technical application in intelligent power grid management.

[0071] Application rate of intelligent operation and maintenance system: The application ratio of intelligent operation and maintenance system in power grid maintenance measures the company's technical application level in intelligent operation and maintenance.

[0072] Step 102: Use the analytic hierarchy process to determine the weight of each indicator. The indicator is a primary indicator or a secondary indicator.

[0073] Step 102 includes: constructing a judgment matrix. Any element a in the judgment matrix ij Indicates the comparison result of the importance of the i-th indicator and the j-th indicator. Determine the maximum characteristic root of the judgment matrix. Determine the consistency test based on the maximum characteristic root and consistency test principle.

[0074] In order to ensure the objectivity and scientificity of the evaluation, this application uses the analytic hierarchy process (AHP) to assign weights to each primary and secondary indicator. The specific steps are as follows:

[0075] Construct a hierarchical model: First, according to the actual needs and development strategy of the enterprise, construct an evaluation hierarchy model and stratify the primary and secondary indicators according to their importance.

[0076] Furthermore, a judgment (paired comparison) matrix is ​​constructed: experts in the power industry are invited to score the importance of each indicator, and the relative weight of each indicator is determined by the paired comparison method. When determining the weights between factors at each level, if it is only a qualitative result, it is often not easy to be accepted by others. Therefore, Santy et al. proposed the consistent matrix method, that is, not comparing all factors together, but comparing them two by two. At this time, a relative scale is used to minimize the difficulty of comparing factors of different natures, so as to improve accuracy. For example, for a certain criterion, each scheme under it is compared two by two, and the level is rated according to its importance. Table 2 lists the 9 importance levels given by Saaty and their assignments. The matrix formed by the results of pairwise comparison is called a judgment matrix. The judgment matrix has the following properties:

[0077]

[0078] Table 2 Judgment matrix element a ij Scale table

[0079] Factor i (i-th indicator) is greater than factor j (j-th indicator) Quantization value Equally important 1 Slightly important 3 Strong and important 5 Strongly important 7 Extremely important 9 The middle value of two adjacent judgments 2，4，6，8

[0080] Furthermore, the consistency test of the indicator weights is performed: corresponding to the maximum characteristic root λ of the judgment matrix max The eigenvector of is normalized (the sum of the elements in the vector is equal to 1) and recorded as W. The elements of W are the ranking weights of the relative importance of the factors at the same level to a factor at the previous level. This process is called hierarchical single sorting. Whether the hierarchical single sorting can be confirmed requires a consistency test. The so-called consistency test refers to the allowable range of inconsistency determined for A. Among them, the only non-zero eigenvalue of the n-order consistent matrix is ​​n; the maximum eigenvalue λ≥n of the n-order positive reciprocal matrix A, A is a consistent matrix if and only if λ=n.

[0081] Since λ continuously depends on a ij , the more λ is larger than n, the more serious the inconsistency of A. The consistency index is calculated by CI. The smaller the CI, the greater the consistency. The eigenvector corresponding to the maximum eigenvalue is used as the weight vector of the influence of the compared factor on a certain factor in the upper layer. The greater the inconsistency, the greater the judgment error caused. Therefore, the value of λ-n can be used to measure the inconsistency of A. The consistency index is defined as:

[0082]

[0083] CI = 0, there is complete consistency; CI is close to 0, there is satisfactory consistency; the larger the CI, the more serious the inconsistency.

[0084] In order to measure the size of CI, the random consistency index RI is introduced:

[0085]

[0086] Among them, the random consistency index RI is related to the order of the judgment matrix. Generally speaking, the larger the matrix order, the greater the possibility of random deviation from consistency. The corresponding relationship is shown in Table 3.

[0087] Table 3 Average random consistency index RI standard value table

[0088] Matrix order 1 2 3 4 5 6 7 8 9 10 RI 0 0 0.58 0.90 1.12 1.24 1.32 1.41 1.45 1.49

[0089] Note: Different standards have different RI values.

[0090] Considering that the deviation from consistency may be caused by random reasons, when checking whether the judgment matrix has satisfactory consistency, it is also necessary to compare CI and random consistency index RI to obtain the test coefficient CR, the formula is as follows:

[0091]

[0092] When CR<0.1, the consistency of the judgment matrix is ​​acceptable; when CR≥0.1, it means that the consistency of the judgment matrix is ​​poor and the judgment matrix needs to be rebuilt.

[0093] Step 103: Obtain the secondary indicator scores of the power grid company to be evaluated.

[0094] Step 104: Based on the secondary indicator scores of the grid company to be evaluated and the weight of each indicator in the grid company's scientific and technological innovation level indicator evaluation system, determine the comprehensive score of the grid company's scientific and technological innovation level to be evaluated.

[0095] Step 104 includes: determining any first-level indicator as the current first-level indicator. Determining all the second-level indicators corresponding to the current first-level indicator as the current second-level indicators. Based on the weight of each current second-level indicator, weighted summing up the current second-level indicator scores of the power grid company to be evaluated is performed to obtain the current first-level indicator score. The current first-level indicator is updated, and the step "determining all the second-level indicators corresponding to the current first-level indicator as the current second-level indicators" is returned until all first-level indicators are traversed to obtain multiple first-level indicator scores. Based on the weight of each first-level indicator, weighted summing up the scores of multiple first-level indicators is performed to obtain a comprehensive score of the scientific and technological innovation level of the power grid company to be evaluated.

[0096] Further, the indicators are scored and calculated: Based on the company's historical data or on-site survey data, each secondary indicator is scored (according to the preset scoring criteria, such as a 1-10 point system), and the final comprehensive score is

[0097] Among them, S is the comprehensive score of the scientific and technological innovation level of the power grid company to be evaluated. n is the total number of first-level indicators. Wi is the weight of the i-th first-level indicator. Xi is the score of the i-th first-level indicator.

[0098] Among them, the first-level indicator scores are:

[0099]

[0100] Among them, X i is the score of the ith first-level indicator. m is the total number of second-level indicators corresponding to the ith first-level indicator. j is the weight of the jth secondary indicator corresponding to the ith first-level indicator. xj is the score of the jth secondary indicator corresponding to the ith first-level indicator.

[0101] The comprehensive score of the power grid company in terms of scientific and technological innovation is calculated by weighted scores of each indicator. The evaluation results can not only reflect the performance of enterprises in various innovation dimensions, but also be used to compare the innovation capabilities of different power grid companies. At the same time, enterprises can identify their own strengths and weaknesses in innovation input, new technology application, implementation and output according to the scores of each secondary indicator. Power grid companies can identify their strengths and weaknesses in scientific and technological innovation and formulate corresponding optimization measures.

[0102] Step 105: Determine the technological innovation level of the power grid company to be evaluated based on the comprehensive score.

[0103] This application is based on the theoretical model of enterprise technological innovation. According to the innovation needs and development trends of power grid enterprises, this application constructs a multi-level evaluation framework, covering four first-level indicators: innovation input capability, new technology application capability, innovation implementation capability and innovation output capability, which are further refined into specific second-level indicators. These indicators can comprehensively reflect the power grid company's ability to invest, apply, implement and produce results in scientific and technological innovation; by evaluating the proportion of R&D personnel incentive funds, the proportion of scientific and technological achievement transformation funds, the proportion of innovative project R&D funds and the proportion of R&D facilities and equipment investment funds, the company's financial support and resource allocation in scientific and technological innovation can be measured; the focus is on the power grid company's application of new energy access, energy storage technology and intelligent dispatching and operation and maintenance systems, including key indicators such as new energy access ratio, new energy consumption rate, energy storage system capacity ratio, energy storage system rate of return, intelligent dispatching system coverage rate and intelligent operation and maintenance system application rate, reflecting the company's introduction and implementation of new technologies. The evaluation measures include the ratio of net equipment value to original equipment value, the quality of R&D personnel, and the ratio of R&D personnel to the total number of employees in the enterprise, to evaluate the innovation implementation capabilities of the enterprise, especially the company's performance in terms of innovation resource investment, equipment modernization, and R&D team quality. The evaluation measures include the ratio of scientific and technological achievement transformation income to investment, the ratio of approved scientific and technological projects to the total number of applied projects, the number of national and provincial and ministerial award-winning achievements, the level and number of published papers, monographs and patents, and the ratio of successful R&D projects to the total number of R&D projects, to evaluate the company's ability to transform achievements and display them to the outside world in scientific and technological innovation. Clear quantitative standards and calculation methods are set for each indicator. The analytic hierarchy process (AHP) is used to assign weights to each indicator, and the performance of each indicator is scored through expert scoring or historical data analysis, and finally the comprehensive score of the power grid company's scientific and technological innovation level is calculated; based on the above quantitative results, this application establishes a comprehensive evaluation model that can comprehensively and scientifically evaluate the power grid company's scientific and technological innovation level; through this evaluation system, the power grid company can identify its strengths and weaknesses in scientific and technological innovation, formulate corresponding optimization measures, improve its performance in key areas such as new energy access, intelligent technology application and transformation of scientific and technological achievements, and help enterprises improve their overall innovation level in the development of new power systems.

[0104] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 2As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for evaluating the scientific and technological innovation level of a power grid company is implemented.

[0105] Those skilled in the art will understand that Figure 2 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0106] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0107] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0108] 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, and the collection, use and processing of relevant data must comply with relevant regulations.

[0109] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0110] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0111] 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.

[0112] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for evaluating the level of scientific and technological innovation of a power grid company, characterized in that: include: Constructing an evaluation system for the scientific and technological innovation level of power grid companies; the evaluation system for the scientific and technological innovation level of power grid companies includes a plurality of first-level indicators and a plurality of second-level indicators corresponding to each first-level indicator; Using the analytic hierarchy process, the weight of each indicator is determined separately; The indicator is a primary indicator or a secondary indicator; Obtain the secondary indicator scores of the power grid company to be evaluated; Based on the secondary indicator scores of the grid companies to be evaluated and the weight of each indicator in the grid companies' scientific and technological innovation level indicator evaluation system, determine the comprehensive score of the grid companies' scientific and technological innovation level; The level of scientific and technological innovation of the power grid company to be evaluated is determined based on the comprehensive score.

2. The method for evaluating the level of scientific and technological innovation of power grid companies according to claim 1 is characterized in that: The first-level indicators include: innovation input capability, innovation implementation capability, innovation output capability and new technology application capability.

3. The method for evaluating the level of scientific and technological innovation of power grid companies according to claim 2 is characterized in that: The secondary indicators corresponding to the innovation investment capacity include: the proportion of investment in incentive funds for R&D personnel, the proportion of investment in scientific and technological achievements transformation, the proportion of R&D funds for innovative projects, and the proportion of investment in R&D facilities and equipment; The secondary indicators corresponding to the innovation implementation capability include: the proportion of net equipment value to original equipment value, the quality of R&D personnel, the proportion of approved scientific and technological projects to the total number of applied projects, and the income from the transformation of scientific and technological achievements; The secondary indicators corresponding to the innovation output capacity include: national award-winning achievements, provincial and ministerial award-winning achievements, the level and quantity of published documents, and the number of successful R&D projects; The secondary indicators corresponding to the new technology application capabilities include: new energy access ratio, new energy access consumption rate, energy storage system capacity share, energy storage system yield rate, intelligent dispatching system coverage rate and intelligent operation and maintenance system application rate.

4. The method for evaluating the scientific and technological innovation level of a power grid company according to claim 1 is characterized in that: Using the hierarchical analysis method, the weight of each indicator is determined separately, including: Construct a judgment matrix; any element a in the judgment matrix ij Indicates the comparison result of the importance of the i-th indicator and the j-th indicator; Determine the maximum eigenvalue of the judgment matrix; Based on the maximum eigenvalue and consistency test principle, the consistency test is determined.

5. The method for evaluating the scientific and technological innovation level of a power grid company according to claim 1 is characterized in that: Based on the secondary indicator scores of the grid companies to be evaluated and the weight of each indicator in the grid companies' scientific and technological innovation level indicator evaluation system, the comprehensive score of the grid companies' scientific and technological innovation level to be evaluated is determined, including: Determine any first-level indicator as the current first-level indicator; Determine all secondary indicators corresponding to the current primary indicator as the current secondary indicators; Based on the weight of each current secondary indicator, the current secondary indicator scores of the power grid company to be evaluated are weighted and summed to obtain the current primary indicator score; Update the current first-level indicator, and return to step "determine all the second-level indicators corresponding to the current first-level indicator as the current second-level indicators" until all first-level indicators are traversed to obtain multiple first-level indicator scores; Based on the weight of each first-level indicator, the scores of multiple first-level indicators are weighted and summed to obtain a comprehensive score for the scientific and technological innovation level of the power grid company to be evaluated.

6. The method for evaluating the scientific and technological innovation level of a power grid company according to claim 1 is characterized in that: The first-level indicator scores are: Among them, X i is the score of the ith first-level indicator; m is the total number of second-level indicators corresponding to the ith first-level indicator; w j is the weight of the j-th secondary indicator corresponding to the ith first-level indicator; xj is the score of the j-th secondary indicator corresponding to the ith first-level indicator.

7. The method for evaluating the scientific and technological innovation level of a power grid company according to claim 6 is characterized in that: The comprehensive scores of the technological innovation level of the power grid companies to be evaluated are: Among them, S is the comprehensive score of the scientific and technological innovation level of the power grid company to be evaluated; n is the total number of first-level indicators; Wi is the weight of the i-th first-level indicator; Xi is the score of the i-th first-level indicator.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for evaluating the scientific and technological innovation level of a power grid company as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for evaluating the scientific and technological innovation level of a power grid company described in any one of claims 1 to 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for evaluating the scientific and technological innovation level of a power grid company described in any one of claims 1 to 7 is implemented.

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