Method and equipment for constructing power grid enterprise innovation capability evaluation index system, and medium

Abstract

The invention relates to a construction method and device for an innovation capability evaluation index system of a power grid enterprise and a medium. The construction method comprises the following steps: acquiring a related innovation data source of the power grid enterprise; according to a preset index and a preset standard innovation dimension, processing the related innovation data source to obtain a multi-level index under each dimension, and constructing an initial multi-layer index tree; and weighting the multi-level indexes on the initial multi-layer index tree by adopting a weight calculation method to obtain a final multi-layer index tree, and completing the construction process of the innovation ability evaluation index system. Compared with the prior art, the method has the advantages that the construction process is simple, and the hierarchical structure of evaluation indexes is embodied.

Description

Technical Field

[0001] The present invention relates to the technical field of index system construction, and in particular to a method, equipment and medium for constructing an index system for evaluating the innovation capability of a power grid enterprise. Background Art

[0002] As a key link in energy supply, the innovation capability of power grid enterprises directly affects their competitiveness and sustainable development capabilities in the rapidly changing energy market. Building a scientific and reasonable evaluation index system for the innovation capability of power grid enterprises is of great significance for guiding and promoting the innovative development of power grid enterprises.

[0003] The evaluation indicators in the existing evaluation index system are single and cannot accurately and intuitively reflect the structure of the index system. In addition, the existing evaluation index system relies too much on qualitative analysis and expert experience and lacks quantitative evaluation, which affects the judgment of the innovation ability of power grid enterprises and cannot provide a more scientific basis for the innovation management and strategic planning of power grid enterprises.

[0004] In view of the above-mentioned problems, it is particularly urgent to study and develop a new method for constructing an evaluation index system for the innovation capability of power grid enterprises. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device and medium for constructing an evaluation index system for the innovation capability of a power grid enterprise that can clearly and intuitively display the evaluation index system structure.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A method for constructing an innovation capability evaluation index system for power grid enterprises comprises the following steps:

[0008] Obtain relevant innovative data sources of power grid enterprises;

[0009] According to the preset indicators and the preset standard innovation dimensions, the relevant innovation data sources are processed to obtain multi-level indicators under each dimension, and an initial multi-layer indicator tree is constructed;

[0010] The weight calculation method is used to assign weights to the multi-level indicators on the initial multi-layer indicator tree to obtain the final multi-layer indicator tree, thereby completing the construction process of the innovation capability evaluation indicator system.

[0011] Furthermore, the relevant innovation data sources include annual reports, quarterly reports, intellectual property documents, academic research papers, and scientific and technological project applications and completion documents.

[0012] Furthermore, the preset standard innovation dimensions include the full process dimension and result dimension of standard innovation.

[0013] Furthermore, the step of obtaining the multi-level indicators under each dimension includes:

[0014] Preprocess the relevant innovative data sources, including data cleaning, formatting and standardization;

[0015] Based on the preprocessed relevant innovation data sources, the data are divided into multiple dimensions according to the preset standard innovation dimensions to obtain data sets of each dimension;

[0016] Based on the data sets of each dimension, they are first divided into primary indicators under each dimension according to preset indicators, and then subdivided into secondary indicators based on the primary indicators to obtain multi-level indicators under each dimension.

[0017] Furthermore, the first-level indicators include preparation stage indicators, standard creation indicators, standard practice application indicators, standard system indicators, digitalization indicators, economic benefit indicators, social benefit indicators and ecological benefit indicators, among which the preparation stage indicators, standard creation indicators and standard practice application indicators are the first-level indicators of the whole process dimension, and the remaining indicators are the first-level indicators of the result dimension.

[0018] Furthermore, the secondary indicators of the preparation stage indicators include standard planning level indicators, standard organizational structure indicators, innovative talent team building indicators, standard innovation mechanism guarantee indicators, standard innovation resource guarantee indicators, standard innovation cooperation construction indicators, and standard innovation exchange activity indicators.

[0019] The secondary indicators of the standard creation index include the scale index of standard creation and the coordination index of standard innovation.

[0020] The secondary indicators of the standard practice application indicators include standard maintenance timeliness indicators, standard identification accuracy indicators, standard publicity and implementation enthusiasm indicators, standard implementation advanced indicators, supervision and inspection effectiveness indicators, and feedback improvement initiative indicators.

[0021] The secondary indicators of the standard system indicators include standard system integrity indicators and standard system coordination indicators.

[0022] The secondary indicators of the digitalization indicators include standard digital reading level indicators, standard digital transmission level indicators, standard digital use level indicators, and standard-led digitalization indicators.

[0023] The secondary indicators of the economic benefit indicators include financial improvement indicators, power supply reliability indicators, data security indicators, and operational safety indicators.

[0024] The secondary indicators of the social benefit indicators include standard innovation honor level indicators, standard innovation service level indicators, and standard innovation influence level indicators.

[0025] The secondary indicators of the ecological benefit indicators include pollutant emission standard level indicators and standard innovation green level indicators.

[0026] Furthermore, the weight calculation method includes one of the following methods: AHP hierarchical analysis method, priority diagram method, entropy method, principal component analysis method, factor analysis method, CRITIC weight calculation method, independence weight calculation method, and information weight calculation method.

[0027] Furthermore, the step of weighting the multi-level indicators on the initial multi-layer indicator tree using the AHP hierarchical analysis method includes:

[0028] According to the pairwise comparison of the indicators at the same level on the initial multi-layer indicator tree, a judgment matrix is ​​constructed, wherein the calculation expression of each element in the judgment matrix is:

[0029] a ij＝ 1 / a ji

[0030] Where a ij is the comparison result of the importance of indicator i relative to indicator j, a ji is the comparison result of the importance of indicator j relative to indicator i;

[0031] For each element in the judgment matrix, the consistency test method is used to test and obtain the weights of indicators at all levels.

[0032] The present invention also provides an electronic device, comprising: one or more processors; a memory; and one or more programs stored in the memory, wherein the one or more programs include instructions for executing the method for constructing the innovation capability evaluation index system of the power grid enterprise as described above.

[0033] The present invention also provides a computer-readable storage medium, comprising one or more programs for execution by one or more processors of an electronic device, wherein the one or more programs include instructions for executing the method for constructing the innovation capability evaluation index system of the power grid enterprise as described above.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] (1) The present invention considers the innovation dimension and divides it into multiple levels of indicators, and constructs it in the form of a tree. Then, a certain weight is given to each level of indicators by means of indicator weighting, which can display the hierarchical structure of indicators, levels and dimensions. Therefore, the construction method of the present invention can more clearly and intuitively display the evaluation indicator system structure.

[0036] (2) The present invention not only considers multiple dimensions but also multi-level indicators, and each level of indicators contains sufficient indicator types. By assigning weights, the importance of each indicator is obtained, which can provide a more scientific basis for the innovation management and strategic planning of power grid enterprises.

[0037] (3) The present invention uses the AHP hierarchical analysis method to calculate weights, which can take into account the mutual influence between indicators at the same level and improve the accuracy of system construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0039] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0040] Example 1

[0041] This embodiment provides a method for constructing an evaluation index system for the innovation capability of a power grid enterprise. Figure 1 As shown, the method comprises the following steps:

[0042] S1. Obtain relevant innovation data sources of power grid enterprises.

[0043] Relevant innovation data sources include annual reports, quarterly reports, intellectual property documents, academic research papers, and scientific and technological project applications and completion documents.

[0044] S2. According to the preset indicators and preset standard innovation dimensions, the relevant innovation data sources are processed to obtain multi-level indicators under each dimension, and an initial multi-layer indicator tree is constructed.

[0045] The preset standard innovation dimensions in this implementation include the full-process dimension and the result dimension, and each dimension has preset indicators.

[0046] This step specifically includes:

[0047] Preprocess the relevant innovative data sources, including data cleaning, formatting and standardization;

[0048] Based on the preprocessed relevant innovation data sources, the data are divided into multiple dimensions according to the preset standard innovation dimensions to obtain data sets of each dimension;

[0049] Based on the data sets of each dimension, they are first divided into first-level indicators under each dimension according to preset indicators, and then subdivided into second-level indicators based on the first-level indicators. Through this step-by-step division, multi-level indicators under each dimension are obtained. At this time, the indicators of each dimension have a hierarchical division, and a multi-layer indicator tree can be constructed in the form of a tree. Each node of each layer represents an indicator, and the nodes of the same layer represent indicators of the same level.

[0050] In this example, the first-level indicators include preparation stage indicators, standard creation indicators, standard practice application indicators, standard system indicators, digitalization indicators, economic benefit indicators, social benefit indicators and ecological benefit indicators. Among them, the preparation stage indicators, standard creation indicators and standard practice application indicators are the first-level indicators of the whole process dimension, and the remaining indicators are the first-level indicators of the result dimension.

[0051] The secondary indicators of the preparation stage include standard planning level indicators, standard organizational structure indicators, innovative talent team building indicators, standard innovation mechanism guarantee indicators, standard innovation resource guarantee indicators, standard innovation cooperation construction indicators, and standard innovation exchange activity indicators.

[0052] The secondary indicators of standard creation index include the scale index of standard creation and the coordination index of standard innovation.

[0053] The secondary indicators of standard practice application indicators include standard maintenance timeliness index, standard identification accuracy index, standard publicity and implementation enthusiasm index, standard implementation advancement index, supervision and inspection effectiveness index, and feedback improvement initiative index.

[0054] The secondary indicators of the standard system indicators include the standard system integrity indicator and the standard system coordination indicator.

[0055] The secondary indicators of digitalization indicators include standard digital reading level indicators, standard digital transmission level indicators, standard digital usage level indicators, and standard-led digitalization indicators.

[0056] The secondary indicators of economic benefit indicators include financial improvement indicators, power supply reliability indicators, data security indicators, and operational safety indicators.

[0057] The secondary indicators of social benefit indicators include standard innovation honor level index, standard innovation service level index, and standard innovation influence level index.

[0058] The secondary indicators of ecological benefit indicators include pollutant emission standard level indicators and standard innovation green level indicators.

[0059] S3. Use a weight calculation method to assign weights to the multi-level indicators on the initial multi-layer indicator tree to obtain a final multi-layer indicator tree, thereby completing the construction process of the innovation capability evaluation indicator system.

[0060] There are many weight calculation methods, including AHP analytic hierarchy process, priority diagram method, entropy method, principal component analysis method, factor analysis method, CRITIC weight calculation method, independence weight calculation method, and information weight calculation method. This embodiment uses the AHP analytic hierarchy process to calculate and weight the multi-level indicators on the initial multi-layer indicator tree. The specific steps include:

[0061] According to the pairwise comparison of the indicators at the same level on the initial multi-layer indicator tree, a judgment matrix is ​​constructed, wherein the calculation expression of each element in the judgment matrix is:

[0062] a ij＝ 1 / a ji

[0063] Where a ij is the comparison result of the importance of indicator i relative to indicator j, a ji is the comparison result of the importance of indicator j relative to indicator i;

[0064] For each element in the judgment matrix, the consistency test method is used to test and obtain the weighting of indicators at all levels;

[0065] By adding the weights of indicators at all levels to the corresponding indicators on the indicator tree, a multi-layer indicator tree including weights is obtained, which is used to represent the evaluation indicator system of the innovation capability of power grid enterprises.

[0066] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0067] Example 2

[0068] This embodiment provides an electronic device, including: one or more processors; a memory; and one or more programs stored in the memory, wherein the one or more programs include instructions for executing the method for constructing an innovation capability evaluation index system for power grid enterprises as described in Example 1.

[0069] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0070] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0071] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0073] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0074] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for constructing an evaluation index system for the innovation capability of power grid enterprises, characterized in that: The following steps are involved: Obtain relevant innovative data sources of power grid enterprises; According to the preset indicators and the preset standard innovation dimensions, the relevant innovation data sources are processed to obtain multi-level indicators under each dimension, and an initial multi-layer indicator tree is constructed; The weight calculation method is used to assign weights to the multi-level indicators on the initial multi-layer indicator tree to obtain the final multi-layer indicator tree, thereby completing the construction process of the innovation capability evaluation indicator system.

2. The method for constructing a power grid enterprise innovation capability evaluation index system according to claim 1, characterized in that: The relevant innovation data sources include annual reports, quarterly reports, intellectual property documents, academic research papers, and scientific and technological project applications and completion documents.

3. The method for constructing an innovation capability evaluation index system for power grid enterprises according to claim 1, characterized in that: The preset standard innovation dimensions include the full process dimension and result dimension of standard innovation.

4. The method for constructing a power grid enterprise innovation capability evaluation index system according to claim 1, characterized in that: The step of obtaining the multi-level indicators under each dimension includes: Preprocess the relevant innovative data sources, including data cleaning, formatting and standardization; Based on the preprocessed relevant innovation data sources, the data are divided into multiple dimensions according to the preset standard innovation dimensions to obtain data sets of each dimension; Based on the data sets of each dimension, they are first divided into primary indicators under each dimension according to preset indicators, and then subdivided into secondary indicators based on the primary indicators to obtain multi-level indicators under each dimension.

5. The method for constructing a power grid enterprise innovation capability evaluation index system according to claim 4, characterized in that: The first-level indicators include preparation stage indicators, standard creation indicators, standard practice application indicators, standard system indicators, digitalization indicators, economic benefit indicators, social benefit indicators and ecological benefit indicators. Among them, the preparation stage indicators, standard creation indicators and standard practice application indicators are the first-level indicators of the whole process dimension, and the remaining indicators are the first-level indicators of the result dimension.

6. The method for constructing a power grid enterprise innovation capability evaluation index system according to claim 5, characterized in that: The secondary indicators of the preparation stage indicators include standard planning level indicators, standard organizational structure indicators, innovative talent team construction indicators, standard innovation mechanism guarantee indicators, standard innovation resource guarantee indicators, standard innovation cooperation construction indicators, and standard innovation exchange activity indicators. The secondary indicators of the standard creation index include the scale index of standard creation and the coordination index of standard innovation. The secondary indicators of the standard practice application indicators include standard maintenance timeliness indicators, standard identification accuracy indicators, standard publicity and implementation enthusiasm indicators, standard implementation advanced indicators, supervision and inspection effectiveness indicators, and feedback improvement initiative indicators. The secondary indicators of the standard system indicators include standard system integrity indicators and standard system coordination indicators. The secondary indicators of the digitalization indicators include standard digital reading level indicators, standard digital transmission level indicators, standard digital use level indicators, and standard-led digitalization indicators. The secondary indicators of the economic benefit indicators include financial improvement indicators, power supply reliability indicators, data security indicators, and operational safety indicators. The secondary indicators of the social benefit indicators include standard innovation honor level indicators, standard innovation service level indicators, and standard innovation influence level indicators. The secondary indicators of the ecological benefit indicators include pollutant emission standard level indicators and standard innovation green level indicators.

7. The method for constructing a power grid enterprise innovation capability evaluation index system according to claim 1, characterized in that: The weight calculation method includes one of the following methods: AHP hierarchical analysis method, priority diagram method, entropy value method, principal component analysis method, factor analysis method, CRITIC weight calculation method, independence weight calculation method, and information weight calculation method.

8. The method for constructing an innovation capability evaluation index system for power grid enterprises according to claim 1, characterized in that: The steps of weighting the multi-level indicators on the initial multi-level indicator tree using the AHP hierarchical analysis method include: According to the pairwise comparison of the indicators at the same level on the initial multi-layer indicator tree, a judgment matrix is ​​constructed, wherein the calculation expression of each element in the judgment matrix is: a ij＝ 1 / a ji Where a ij is the comparison result of the importance of indicator i relative to indicator j, a ji is the comparison result of the importance of indicator j relative to indicator i; For each element in the judgment matrix, the consistency test method is used to test and obtain the weights of indicators at all levels.

9. An electronic device, characterized in that: include: one or more processors; Memory; and One or more programs stored in a memory, wherein the one or more programs include instructions for executing a method for constructing a power grid enterprise innovation capability evaluation index system as described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that: It includes one or more programs executed by one or more processors of an electronic device, and the one or more programs include instructions for executing the method for constructing the innovation capability evaluation index system of a power grid enterprise as described in any one of claims 1-8.

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