CN117541092A

CN117541092A - Method and device for constructing electric network engineering ESG scoring index system model

Info

Publication number: CN117541092A
Application number: CN202310625596.3A
Authority: CN
Inventors: 邹贵林; 王俊刚; 曾文龙; 余海翔; 袁太平; 罗旭升; 李凡; 冷祥彪; 彭飞; 何飞鹏
Original assignee: Energy Development Research Institute of China Southern Power Grid Co Ltd
Current assignee: Energy Development Research Institute of China Southern Power Grid Co Ltd
Priority date: 2023-05-30
Filing date: 2023-05-30
Publication date: 2024-02-09

Abstract

The application relates to a method and a device for constructing an ESG scoring index system model of power grid engineering. The method comprises the following steps: acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering; adjusting the scoring index information set to be adjusted according to the data to obtain an adjusted scoring index information set; according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information, correlating each piece of grading index information in the regulated grading index information set to obtain environment correlation grading index information, interaction correlation grading index information and monitoring correlation grading index information; and constructing a power grid project scoring index system model corresponding to the power grid project according to the associated scoring index information. By adopting the method, the running state of the system can be mastered quickly, and the evaluation accuracy of the carbon emission data of the power grid engineering in the life cycle is improved.

Description

Method and device for constructing electric network engineering ESG scoring index system model

Technical Field

The present disclosure relates to the field of green power grid engineering technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for constructing an ESG score index system model of a power grid engineering.

Background

With the development of the power transmission technology of the power grid, the green power grid engineering plays a significant role in power supply of the power grid. The carbon emission evaluation in the green power grid project is a basis for quantitatively expressing the carbon emission change trend of the power grid project in the whole life cycle, exploring carbon emission influence factors and carrying out emission reduction path design, and the internationally accepted evaluation method models about the carbon emission amount at present mainly comprise a carbon emission factor method, a mass balance method and an actual measurement method.

The currently applied carbon emission assessment method has some problems for carbon emission assessment of power grid engineering, such as: 1. as the power supply of China is converted to clean low carbon, the annual average emission factor of regional power grids is in a descending trend, which is not beneficial to the establishment and evaluation of emission reduction measures of power grid engineering; 2. because of the lack of the carbon emission evaluation standard of the power grid engineering, the calculation method and the accounting flow closely connected with the power grid engineering are also immature, so that the evaluation accuracy of the carbon emission data of the power grid engineering in the life cycle is low.

Disclosure of Invention

Based on the foregoing, it is necessary to provide a method, an apparatus, a computer device, a computer readable storage medium and a computer program product for constructing an ESG score index system model of a power grid engineering, which can enable an operator to quickly grasp the running state of the system and improve the accuracy of evaluating carbon emission data of the power grid engineering in a life cycle.

In a first aspect, the application provides a method for constructing an ESG scoring index system model of power grid engineering. The method comprises the following steps: acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering; adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted score index information set corresponding to the power grid project; according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, correlating each scoring index information in the adjusted scoring index information set to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information; constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

In a second aspect, the application also provides a device for constructing the grid engineering ESG scoring index system model. The device comprises: the power grid data acquisition module is used for acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering; the grading index adjustment module is used for adjusting the grading index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted grading index information set corresponding to the power grid project; the grading index association module is used for associating each grading index information in the adjusted grading index information set according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering to obtain environment association grading index information, interaction association grading index information and monitoring association grading index information; the scoring model construction module is used for constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of: acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering; adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted score index information set corresponding to the power grid project; according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, correlating each scoring index information in the adjusted scoring index information set to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information; constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of: acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering; adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted score index information set corresponding to the power grid project; according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, correlating each scoring index information in the adjusted scoring index information set to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information; constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of: acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering; adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted score index information set corresponding to the power grid project; according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, correlating each scoring index information in the adjusted scoring index information set to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information; constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

The method, the device, the computer equipment, the storage medium and the computer program product for constructing the electric network engineering ESG scoring index system model are realized by acquiring electric network engineering design data, electric network engineering resource interaction data, electric network engineering construction data, electric network engineering operation data and electric network engineering loss data in electric network engineering; adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted score index information set corresponding to the power grid project; according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, correlating each scoring index information in the adjusted scoring index information set to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information; constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

Selecting scoring index information meeting task requirements from a plurality of scoring index information for describing the power grid engineering by using full life cycle description data in the power grid engineering, and merging, splitting and newly added adjusting the determined scoring index information; further, the adjusted grading index information is associated, so that the grading index information can map the environment, interaction and management relation between the power grid engineering and the social production, and a grading model meeting the safety risk of the monitoring power grid engineering is constructed through the plurality of mapping relations; the system can effectively integrate and classify, and the information state of the corresponding power grid project is difficult to simply and intuitively reflect, so that an operator can quickly master the system running state, and the evaluation accuracy of the carbon emission data of the power grid project in the life cycle is improved.

Drawings

Fig. 1 is an application environment diagram of a method for constructing an ESG score index system model of power grid engineering in one embodiment;

fig. 2 is a flow chart of a method for constructing an ESG score index system model of power grid engineering in one embodiment;

FIG. 3 is a flowchart of a method for obtaining an adjusted score index information set in one embodiment;

FIG. 4 is a flowchart of a method for obtaining an adjusted score index information set according to another embodiment;

FIG. 5 is a flowchart of a method for obtaining associated score indicator information in one embodiment;

FIG. 6 is a flow diagram of a method for obtaining environmental correlation score indicator information in one embodiment;

FIG. 7 is a flowchart of a method for obtaining interactive associated score indicator information in one embodiment;

FIG. 8 is a flowchart of a method for obtaining information of monitoring associated scoring indicators in one embodiment;

FIG. 9 is a schematic diagram of a first level index building architecture in one embodiment;

fig. 10 is a structural block diagram of a power grid engineering ESG score index system model building device in one embodiment;

FIG. 11 is an internal block diagram of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The method for constructing the grid engineering ESG scoring index system model can be applied to an application environment shown in FIG. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 obtains power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering through the terminal 102; adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted score index information set corresponding to the power grid project; according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, correlating each scoring index information in the adjusted scoring index information set to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information; constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, a method for constructing a grid engineering ESG score index system model is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:

step 202, acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering.

The power grid engineering may be the engineering of the whole life cycle of the power grid system, including design, purchase, construction, operation and rejection of the power grid system.

The power grid engineering design data, the power grid engineering resource interaction data, the power grid engineering construction data, the power grid engineering operation data and the power grid engineering loss data can be data generated by design, purchase, construction, operation and rejection of a power grid system; the power grid engineering design data corresponds to data generated in the power grid system design process, the power grid engineering resource interaction data corresponds to data generated in the power grid system equipment purchasing process, the power grid engineering construction data corresponds to data generated in the power grid system construction process, the power grid engineering operation data corresponds to data generated in the power grid system construction operation, and the power grid engineering loss data corresponds to data generated after the power grid system is scrapped.

Specifically, the server 104 responds to the instruction of the terminal 102, acquires the power grid engineering design data, the power grid engineering resource interaction data, the power grid engineering construction data, the power grid engineering operation data and the power grid engineering loss data in the power grid engineering from the terminal 102, and stores the acquired power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in the storage unit, and when the server needs to process any data record in the power grid engineering design data, the power grid engineering resource interaction data, the power grid engineering construction data, the power grid engineering operation data and the power grid engineering loss data, the server retrieves volatile storage resources from the storage unit for the central processing unit to calculate. Any data record may be a single data input to the central processing unit, or may be a plurality of data input to the central processing unit at the same time.

And step 204, adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain the adjusted score index information set corresponding to the power grid project.

The grading index information set can be a set formed by each evaluation index used for evaluating the power grid engineering; the scoring index information set which is not adjusted according to the actual situation is called a scoring index information set to be adjusted, and the scoring index information set which is adjusted according to the actual situation is called an adjusted scoring index information set.

Specifically, according to grid engineering design data, grid engineering resource interaction data, grid engineering construction data, grid engineering operation data and grid engineering loss data, monitoring requirements are combined with actual safety risks, indexes which need to be combined in all scoring indexes for scoring the grid engineering are determined, combined scoring index information is obtained, indexes which need to be split in all scoring indexes for scoring the grid engineering are determined in the same way, split scoring index information is obtained, and indexes which need to be newly added in all scoring indexes for scoring the grid engineering are determined in the same way, so that newly added scoring index information is obtained.

According to the combined grading index information, checking and grading are carried out on the installation quality of equipment such as a transformer (converter transformer), a reactor, an isolating switch, a circuit breaker, a lightning arrester, a transformer, a tubular bus, a power distribution device and the like, namely, the evaluation indexes of product quality and safety in the ESG can be combined into a primary equipment installation quality in a power grid engineering ESG grading index system model in a similar mode, and the combined grading index information is obtained.

Splitting according to the splitting scoring index information, namely splitting the power grid construction scoring index information in the scoring index information set to be adjusted, splitting the evaluation standard of the project progress, taking the number of the completed assessment nodes as a molecule by taking the main assessment nodes of a single project as a base number, and calculating the completion rate of the project progress plan to obtain the scoring index information after splitting.

According to the newly added scoring index information, the scoring index information of the power grid radiation can be newly added in the scoring index information set to be adjusted by combining the ESG concept and the group standard evaluation content, for example, the surrounding contact degree of the newly added project, the construction completion progress of the foundation, the construction progress of the industry team, the clean energy utilization efficiency, the public crisis coping mode and the like.

Combining the combined score index information, the split score index information and the power grid radiation score index information, and combining the combined score index information with each score index information which is not adjusted in the score index information set to be adjusted to obtain an adjusted score index information set.

And step 206, associating each grading index information in the adjusted grading index information set according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering to obtain environment association grading index information, interaction association grading index information and monitoring association grading index information.

The power grid environment classification information, the power grid interaction classification information and the power grid monitoring classification information are respectively criteria for classifying each grading index information in the adjusted grading index information set in power grid engineering, and are respectively classified according to three aspects of environment, power resource interaction and power grid monitoring.

The environment association score index information, the interaction association score index information and the monitoring association score index information are data obtained by classifying each score index information in the adjusted score index information set and associating each score index information on the basis of the same classification.

Specifically, the scoring index information in the adjusted scoring index information set is classified according to three classification standards of grid environment classification information, grid interaction classification information and grid monitoring classification information, so that a classified environment classification scoring index information set, an interaction classification scoring index information set and a monitoring classification scoring index information set can be obtained.

According to each scoring index information in the environment classification scoring index information set, in the 10 set structure setting indexes, determining the primary scoring index information of the environment dimension to cover resource consumption, pollution control and climate change; aiming at the first grade grading index information of any one environmental dimension, further according to each grade grading index information in the environment classification grading index information set, aiming at the current stage of the project, the project is planned to be in line with sustainable development planning, and planning designs with low resource consumption, small pollution control and small peripheral influence are adopted to provide related resource consumption index information and pollution control index information; in the project construction stage, determining secondary grading index information related to each environment, namely noise elimination index information, sewage purification index information and solid waste treatment index information, according to the engineering green low-carbon construction task; setting a specific evaluation index item based on the environment-related primary grading index information and the environment-related secondary grading index information according to specific power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data as a bottom index of the whole ESG evaluation system, evaluating engineering construction management specific targets and management requirements, and obtaining environment-related tertiary grading index information. And evaluating specific targets and management requirements of engineering construction management, wherein the setting of environment-related three-level grading index information meets the basic requirements of operability, quantification and comparability. And carrying out one-by-one association on each environment-associated primary scoring index information, each environment-associated secondary scoring index information and each environment-associated tertiary scoring index information according to a tree-shaped model to obtain environment-associated scoring index information.

The method comprises the steps that the ESG evaluation index information is constructed, the ESG evaluation index information is required to be tightly combined with actual data of the power grid project, and the index guiding data of an ESG scoring index system model of the power grid project are perfected, so that each piece of specific characteristic index information has operability, and the ESG scoring index system model representation of the power grid project can be comprehensively and accurately evaluated.

The quantitative evaluation method comprises the steps of evaluating the quantitative index information in the three-level index of the comprehensive evaluation, wherein the quantitative evaluation of the index is realized by the structural proportion of the qualitative index information and the quantitative index information in the three-level index of the comprehensive evaluation, and particularly the quantitative conversion of the qualitative index information is carried out, so that the two-level index is ensured to realize the full quantitative data evaluation, and the result of an evaluation system is more visual.

The comparison of indexes can be realized by combing the common information of different types of power grid projects, the index information which can evaluate the ESG scoring index system model of the power grid projects under a unified frame is selected, and the index evaluation result can objectively reflect the comprehensive level of engineering construction, so that the comparison and analysis value of the ESG scoring index system model of the power grid projects in long-term span and real-time nodes respectively is met.

According to each grading index information in the interactive classification grading index information set, in the set structure setting 10 indexes, the first grade grading index information for determining the interactive dimension is properly modified according to engineering construction actual condition data, and comprises industrial worker work description data, quality safety evaluation data, participation degree of power grid engineering participants and social public opinion data; aiming at the primary grading index information of any interaction dimension, further focusing on the interaction data of the power grid project on the social level according to each grading index information in the interaction classification grading index information set, enhancing the communication cooperation with each social boundary, reducing the negative influence of the project on surrounding communities, and determining each interaction-associated secondary grading index information, namely, various equipment quality index information of the power grid project, construction cost index information of the project construction and the like; setting specific evaluation index items based on the interactive association primary grading index information and the interactive association secondary grading index information according to specific power grid engineering design data, power grid engineering resource interactive data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data, and taking the specific evaluation index items as the bottom index of the whole ESG evaluation system, evaluating specific targets and management requirements of engineering construction management, and obtaining interactive association tertiary grading index information. The specific objective and management requirement of engineering construction management are evaluated, and the setting of the interactive association three-level grading index information should meet the basic requirements of operability, quantification and comparability. And carrying out one-by-one association on each interaction association primary scoring index information, each interaction association secondary scoring index information and each interaction association tertiary scoring index information according to a tree-shaped model to obtain interaction association scoring index information.

According to each scoring index information in the monitoring classification scoring index information set, in the set structure setting 10 indexes, determining a primary scoring index information coverage monitoring structure model, a monitoring mechanism model and a performance conversion model of a monitoring dimension; aiming at the first grade grading index information of any monitoring dimension, further determining the second grade grading index information related to each monitoring according to each grading index information in the monitoring classification grading index information set so as to exert the maximum utility of engineering construction monitoring; and setting specific evaluation index items based on the monitoring-related primary grading index information and the monitoring-related secondary grading index information according to specific power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data as bottom indexes of the whole ESG evaluation system, evaluating specific targets and management requirements of engineering construction management, and obtaining monitoring-related tertiary grading index information. And evaluating specific targets and management requirements of engineering construction management, and monitoring and associating three-level grading index information setting should meet the basic requirements of operability, quantification and comparability. And carrying out one-by-one association on each monitoring association primary scoring index information, each monitoring association secondary scoring index information and each monitoring association tertiary scoring index information according to a tree-shaped model to obtain monitoring association scoring index information. FIG. 9 is a schematic diagram of a first level index building architecture in one embodiment. Table 1 is the evaluation index standard of the grid engineering ESG score index system model.

TABLE 1 ESG scoring index system model criteria for power grid engineering

And step 208, constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information.

The power grid engineering scoring index system model can be a model for monitoring carbon emission data in a life cycle of the power grid engineering.

Specifically, under the condition that the environment association score index information, the interaction association score index information and the monitoring association score index information are all determined to be associated in a tree structure, the three association score index information are combined in a parallel mode at the same level to form a power grid engineering score index system model corresponding to the power grid engineering.

In the method for constructing the ESG scoring index system model of the power grid project, the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data in the power grid project are obtained; adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain the adjusted score index information set corresponding to the power grid project; according to grid environment classification information, grid interaction classification information and grid monitoring classification information corresponding to the grid engineering, correlating each grading index information in the regulated grading index information set to obtain environment correlation grading index information, interaction correlation grading index information and monitoring correlation grading index information; constructing a power grid project scoring index system model corresponding to the power grid project according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

In one embodiment, as shown in fig. 3, according to the power grid engineering design data, the power grid engineering resource interaction data, the power grid engineering construction data, the power grid engineering operation data and the power grid engineering loss data, the to-be-adjusted score index information set corresponding to the power grid engineering is adjusted, so as to obtain the adjusted score index information set corresponding to the power grid engineering, which includes:

Step 302, determining merging score index information, splitting score index information and newly added score index information corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data.

The merging score index information, the splitting score index information and the newly added score index information may be instructions for merging, splitting and newly adding each score index information in the score index information set, which are used for indicating that the adjustment is not performed according to the actual situation, are generated according to the description data of each power engineering.

And step 304, adjusting the score index information set to be adjusted according to the combined score index information, the split score index information and the newly added score index information to obtain an adjusted score index information set corresponding to the power grid project.

Specifically, according to the combined grading index information, the installation quality of equipment such as a transformer (converter transformer), a reactor, a disconnecting switch, a circuit breaker, a lightning arrester, a transformer, a tubular busbar, a power distribution device and the like is checked and graded, namely, the quality and safety evaluation index of products in an ESG (electronic control system) can be combined into a primary equipment installation quality in an ESG grading index system model of power grid engineering in a similar way, so that the combined grading index information is obtained.

Splitting according to the splitting scoring index information, splitting the power grid construction scoring index information in the scoring index information set to be adjusted, splitting the evaluation standard of the project progress, taking the main assessment nodes of a single project as a base number, taking the number of the completed assessment nodes as a molecule, and calculating the project progress plan completion rate to obtain the scoring index information after splitting.

According to the newly added scoring index information, the evaluation contents of the ESG concept and the group standard are combined, and the power grid radiation scoring index information, such as the surrounding contact degree of the newly added project, the construction completion progress of the foundation, the construction progress of the industry team, the clean energy utilization efficiency, the public crisis coping mode and the like, can be newly added in the scoring index information set to be adjusted.

In this embodiment, the adjustment mode of each score index information to be adjusted in the score index information set to be adjusted is determined by using each different data of the power grid project, so that the monitoring mode can be adjusted in real time according to the monitoring task of the carbon emission data in the life cycle of the power grid project, and the monitoring efficiency is improved.

In one embodiment, as shown in fig. 4, according to the combined score index information, the split score index information and the newly added score index information, the score index information set to be adjusted is adjusted to obtain an adjusted score index information set corresponding to the power grid project, including:

and step 402, combining the grid facility scoring index information in the scoring index information set to be adjusted according to the combined scoring index information to obtain combined scoring index information.

The grid facility scoring index information may be an index for evaluating the operation condition of the grid facility.

And step 404, splitting the power grid construction grading index information in the grading index information set to be adjusted according to the splitting grading index information to obtain split grading index information.

The power grid construction score index information may be an index for evaluating a power grid construction condition.

Specifically, according to the splitting scoring index information, splitting is carried out through the power grid construction scoring index information in the scoring index information set to be adjusted, the evaluation standard of the project progress is split, the number of the completed assessment nodes is taken as a molecule by taking the main assessment nodes of a single project as a base number, the project progress plan completion rate is calculated, and the scoring index information after splitting is obtained.

Step 406, newly adding grid radiation grading index information in the grading index information set to be adjusted according to the newly added grading index information.

The power grid radiation scoring index information can be an index for evaluating the interaction condition of the power grid engineering to the outside.

Specifically, according to the newly added scoring index information, the scoring index information of the power grid radiation can be newly added in the scoring index information set to be adjusted by combining the ESG concept with the evaluation content of the group standard, for example, the surrounding contact degree of the newly added project, the construction completion progress, the construction progress of the industrial team, the clean energy use efficiency, the public crisis coping mode and the like.

Step 408, obtaining an adjusted score index information set according to the combined score index information, the split score index information and the grid radiation score index information.

Specifically, combining the combined score index information, the split score index information and the grid radiation score index information, and combining the combined score index information with each score index information which is not adjusted in the score index information set to be adjusted to obtain an adjusted score index information set.

In this embodiment, splitting, merging and newly adding operations are performed in the score index information set to be adjusted according to the monitoring task of the carbon emission data in the life cycle of the power grid project, so that the influence of the project construction on the environment, the monitoring of the project management efficiency and the attention of the project construction on the peripheral influence of the project can be simultaneously reduced, the monitoring task of the carbon emission data covers safety, quality, progress, technology, manufacturing cost, contractor management, high-quality project and green construction, and the monitoring range is improved.

In one embodiment, as shown in fig. 5, according to grid environment classification information, grid interaction classification information and grid monitoring classification information corresponding to a grid project, correlating each scoring index information in the set of adjusted scoring index information to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information, including:

step 502, classifying each scoring index information in the adjusted scoring index information set according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, so as to obtain an environment classification scoring index information set, an interaction classification scoring index information set and a monitoring classification scoring index information set.

The environment classification grading index information set, the interaction classification grading index information set and the monitoring classification grading index information set are grading index sets obtained by classifying each grading index information in the adjusted grading index information set according to environment, interaction conditions and monitoring conditions.

And step 504, correlating each scoring index information in the environment classification scoring index information set to obtain environment correlation scoring index information.

Specifically, according to each scoring index information in the environment classification scoring index information set, in the set structure setting 10 indexes, determining the primary scoring index information of the environment dimension to cover the resource consumption, pollution control and climate change; aiming at the first grade grading index information of any one environmental dimension, further according to each grade grading index information in the environment classification grading index information set, aiming at the current stage of the project, the project is planned to be in line with sustainable development planning, and planning designs with low resource consumption, small pollution control and small peripheral influence are adopted to provide related resource consumption index information and pollution control index information; in the project construction stage, determining secondary grading index information related to each environment, namely noise elimination index information, sewage purification index information and solid waste treatment index information, according to the engineering green low-carbon construction task; setting specific evaluation index items based on the environment-related primary grading index information and the environment-related secondary grading index information according to specific power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data, and taking the specific evaluation index items as the bottom index of the whole ESG evaluation system to evaluate specific targets and management requirements of engineering construction management to obtain environment-related tertiary grading index information. And evaluating specific targets and management requirements of engineering construction management, wherein the setting of environment-related three-level grading index information meets the basic requirements of operability, quantification and comparability. And carrying out one-by-one association on the environment-associated primary scoring index information, the environment-associated secondary scoring index information and the environment-associated tertiary scoring index information according to a tree-shaped model to obtain the environment-associated scoring index information.

And step 506, associating each grading index information in the interactive classification grading index information set to obtain interactive association grading index information.

Specifically, according to each scoring index information in the interactive classification scoring index information set, in the set structure setting 10 indexes, the primary scoring index information for determining the interactive dimension is properly modified according to engineering construction actual condition data, and comprises industrial worker work description data, quality safety evaluation data, participation degree of power grid engineering participants and social public opinion data; aiming at the primary grading index information of any interaction dimension, further focusing on the interaction data of the power grid project on the social level according to each grading index information in the interaction classification grading index information set, enhancing the communication cooperation with each social boundary, reducing the negative influence of the project on surrounding communities, and determining each interaction-associated secondary grading index information, namely, various equipment quality index information of the power grid project, construction cost index information of the project construction and the like; setting specific evaluation index items based on the interactive association primary grading index information and the interactive association secondary grading index information according to specific power grid engineering design data, power grid engineering resource interactive data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data, and taking the specific evaluation index items as the bottom index of the whole ESG evaluation system to evaluate specific targets and management requirements of engineering construction management to obtain interactive association tertiary grading index information. The specific objective and management requirement of engineering construction management are evaluated, and the setting of the interactive association three-level grading index information should meet the basic requirements of operability, quantification and comparability. And carrying out one-by-one association on the first-level grading index information of each interaction association, the second-level grading index information of each interaction association and the third-level grading index information of each interaction association according to a tree-shaped model to obtain the grading index information of the interaction association.

And step 508, associating each grading index information in the monitoring classification grading index information set to obtain monitoring association grading index information.

Specifically, according to each scoring index information in the monitoring classification scoring index information set, in the set structure setting 10 indexes, determining the primary scoring index information of the monitoring dimension to cover a monitoring structure model, a monitoring mechanism model and a performance conversion model; aiming at the first grade grading index information of any monitoring dimension, further determining the second grade grading index information related to each monitoring according to each grading index information in the monitoring classification grading index information set so as to exert the maximum utility of engineering construction monitoring; and setting specific evaluation index items based on the monitoring-related primary grading index information and the monitoring-related secondary grading index information according to specific power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data as bottom-layer indexes of the whole ESG evaluation system, evaluating engineering construction management specific targets and management requirements, and obtaining monitoring-related tertiary grading index information. And evaluating specific targets and management requirements of engineering construction management, and monitoring and associating three-level grading index information setting should meet the basic requirements of operability, quantification and comparability. And carrying out one-by-one association on each monitoring association primary scoring index information, each monitoring association secondary scoring index information and each monitoring association tertiary scoring index information according to the tree-shaped model to obtain monitoring association scoring index information.

In this embodiment, by classifying each piece of scoring index information in the set of adjusted scoring index information according to each piece of classifying information in the power grid project, the scoring direction of the power grid project scoring index system model can be determined, so that the evaluation accuracy of the power grid project scoring index system model is higher.

In one embodiment, as shown in fig. 6, associating each scoring indicator information in the environmental classification scoring indicator information set to obtain environmental association scoring indicator information includes:

step 602, determining the first-level grading index information of each environment according to each grading index information in the environment classification grading index information set.

The environment-related primary scoring index information, the environment-related secondary scoring index information and the environment-related tertiary scoring index information can be the results of distinguishing each scoring index information in the environment classification scoring index information set according to tree grades; wherein, any one of the environmental association primary scoring index information comprises at least one environmental association secondary scoring index information, and any one of the environmental association secondary scoring index information comprises at least one environmental association tertiary scoring index information.

Specifically, according to each scoring index information in the environment classification scoring index information set, in the set structure setting 10 indexes, the primary scoring index information of the environment dimension is determined to cover the resource consumption, pollution control and climate change.

Step 604, determining secondary scoring index information associated with each environment according to each scoring index information in the scoring index information set of the environment classification aiming at the primary scoring index information associated with any environment.

Specifically, aiming at the first grade grading index information of any one environmental dimension, further according to each grading index information in the environmental classification grading index information set, aiming at the current stage of the project, the project is planned to be in line with sustainable development planning, and planning design with low resource consumption, small pollution control and small peripheral influence is adopted to provide related resource consumption index information and pollution control index information; and in the project construction stage, determining secondary grading index information related to each environment, namely noise elimination index information, sewage purification index information and solid waste treatment index information according to the engineering green low-carbon construction task.

Step 606, determining three-level grading index information associated with each environment according to each grading index information in the grading index information set of the environment classification aiming at the two-level grading index information associated with any environment.

Specifically, specific evaluation index items based on the environment-related primary grading index information and the environment-related secondary grading index information are set according to specific power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data, and serve as bottom indexes of the whole ESG evaluation system, and specific targets and management requirements of engineering construction management are evaluated, so that environment-related tertiary grading index information is obtained. And evaluating specific targets and management requirements of engineering construction management, wherein the setting of environment-related three-level grading index information meets the basic requirements of operability, quantification and comparability.

Step 608, the first-level scoring index information, the second-level scoring index information and the third-level scoring index information are associated step by step to obtain the scoring index information.

Specifically, the first-level grading index information, the second-level grading index information and the third-level grading index information are related one by one according to a tree model to obtain the environment-related grading index information.

In this embodiment, by guiding each secondary index scoring information to each environment classification scoring index information according to the primary scoring index information and guiding each tertiary index scoring information to each secondary index scoring information, each environment classification scoring index information can be constructed into a tree structure scoring index step-by-step association relationship, and the causality about environment scoring is improved.

In one embodiment, as shown in fig. 7, associating each scoring indicator information in the set of interaction classification scoring indicator information to obtain interaction association scoring indicator information includes:

step 702, determining the first-level grading index information of each interaction according to each grading index information in the grading index information set of the interaction classification.

The first-level grading index information, the second-level grading index information and the third-level grading index information can be the results of distinguishing the grading index information in the grading index information set according to tree grades; wherein, any one of the interactive association primary scoring index information comprises at least one interactive association secondary scoring index information, and any one of the interactive association secondary scoring index information comprises at least one interactive association tertiary scoring index information.

Specifically, according to each scoring index information in the interactive classification scoring index information set, in the set structure setting 10 indexes, the primary scoring index information for determining the interactive dimension is properly modified according to engineering construction actual condition data, and comprises industrial worker work description data, quality safety evaluation data, participation degree of power grid engineering participants and social public opinion data.

Step 704, determining secondary grading index information associated with each environment according to each grading index information in the grading index information set of the interaction classification aiming at the grading index information of any interaction association.

Specifically, aiming at the primary grading index information of any interaction dimension, the interactive data of the power grid project on the social level is focused according to each grading index information in the interactive classification grading index information set, the communication cooperation with each social boundary is enhanced, the negative influence of the project on surrounding communities is reduced, and each interactive association secondary grading index information, namely, the quality index information of various equipment of the power grid project, the cost index information of the project construction and the like is determined.

Step 706, determining three-level grading index information of each interaction association according to each grading index information in the grading index information set of the interaction classification aiming at any two-level grading index information of the interaction association.

Specifically, specific evaluation index items based on the interactive association primary grading index information and the interactive association secondary grading index information are set according to specific power grid engineering design data, power grid engineering resource interactive data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data, and serve as bottom indexes of the whole ESG evaluation system, evaluate specific targets and management requirements of engineering construction management, and obtain interactive association tertiary grading index information. The specific objective and management requirement of engineering construction management are evaluated, and the setting of the interactive association three-level grading index information should meet the basic requirements of operability, quantification and comparability.

Step 708, step-by-step association is performed on the first-level score index information, the second-level score index information and the third-level score index information of each interaction association, so as to obtain the score index information of the interaction association.

Specifically, the first-level grading index information, the second-level grading index information and the third-level grading index information of each interaction association are associated one by one according to a tree model, so that the grading index information of the interaction association is obtained.

In this embodiment, by guiding each secondary index scoring information to each interactive classification scoring index information according to the primary scoring index information and guiding each tertiary index scoring information to each secondary index scoring information, each interactive classification scoring index information can be constructed into a tree structure scoring index step-by-step association relationship, so as to improve causality about interactive scoring.

In one embodiment, as shown in fig. 8, associating each scoring indicator information in the monitoring classification scoring indicator information set to obtain monitoring association scoring indicator information includes:

step 802, determining each monitoring-associated primary grading index information according to each grading index information in the monitoring classification grading index information set.

The monitoring associated primary scoring index information, the monitoring associated secondary scoring index information and the monitoring associated tertiary scoring index information can be the results of distinguishing each scoring index information in the monitoring classification scoring index information set according to tree grades; any one of the monitoring association primary scoring index information comprises at least one monitoring association secondary scoring index information, and any one of the monitoring association secondary scoring index information comprises at least one monitoring association tertiary scoring index information.

Specifically, according to each scoring index information in the monitoring classification scoring index information set, in the set structure setting 10 indexes, the primary scoring index information of the monitoring dimension is determined to cover the monitoring structure model, the monitoring mechanism model and the efficiency conversion model.

Step 804, determining secondary grading index information associated with each environment according to each grading index information in the monitoring classification grading index information set aiming at any monitoring associated primary grading index information.

Specifically, for the first-level grading index information of any monitoring dimension, the second-level grading index information related to each monitoring is determined further according to each grading index information in the monitoring classification grading index information set so as to exert the maximum utility of engineering construction monitoring.

Step 806, determining each monitoring association three-level grading index information according to each grading index information in the monitoring classification grading index information set aiming at any monitoring association two-level grading index information.

Specifically, specific evaluation index items based on the monitoring-related primary grading index information and the monitoring-related secondary grading index information are set according to specific power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data, and serve as bottom indexes of the whole ESG evaluation system, and specific targets and management requirements of engineering construction management are evaluated, so that monitoring-related tertiary grading index information is obtained. And evaluating specific targets and management requirements of engineering construction management, and monitoring and associating three-level grading index information setting should meet the basic requirements of operability, quantification and comparability.

Step 808, performing step-by-step association on the first-level grading index information of each monitoring association, the second-level grading index information of each monitoring association and the third-level grading index information of each monitoring association to obtain the grading index information of the monitoring association.

Specifically, each monitoring association primary scoring index information, each monitoring association secondary scoring index information and each monitoring association tertiary scoring index information are associated one by one according to a tree-shaped model, so that monitoring association scoring index information is obtained.

In this embodiment, by guiding each secondary index scoring information to each monitoring classification scoring index information according to the primary scoring index information and guiding each tertiary index scoring information to each secondary index scoring information, each monitoring classification scoring index information can be constructed into a tree structure scoring index step-by-step association relationship, so as to improve the causality about monitoring scoring.

It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a power grid engineering ESG scoring index system model construction device for realizing the power grid engineering ESG scoring index system model construction method. The implementation scheme of the device for solving the problem is similar to the implementation scheme recorded in the method, so the specific limitation in the embodiment of the device for constructing the ESG scoring index system model of the power grid engineering provided below can be referred to the limitation of the method for constructing the ESG scoring index system model of the power grid engineering hereinabove, and the description is omitted here.

In one embodiment, as shown in fig. 10, there is provided a power grid engineering ESG score index system model building apparatus, including: a grid data acquisition module 1002, a scoring index adjustment module 1004, a scoring index association module 1006, and a scoring model construction module 1008, wherein:

the power grid data acquisition module 1002 is configured to acquire power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data, and power grid engineering loss data in power grid engineering;

the scoring index adjustment module 1004 is configured to adjust a scoring index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data, so as to obtain an adjusted scoring index information set corresponding to the power grid project;

The scoring index association module 1006 is configured to associate each scoring index information in the set of adjusted scoring index information according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid project, so as to obtain environment association scoring index information, interaction association scoring index information and monitoring association scoring index information;

the scoring model construction module 1008 is configured to construct a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment-related scoring index information, the interactive-related scoring index information and the monitoring-related scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

In one embodiment, the score index adjustment module 1004 is further configured to determine the combined score index information, the split score index information, and the newly added score index information corresponding to the power grid project, where the combined score index information, the split score index information, and the newly added score index information are corresponding to the power grid project; and adjusting the score index information set to be adjusted according to the combined score index information, the split score index information and the newly added score index information to obtain an adjusted score index information set corresponding to the power grid project.

In one embodiment, the score index adjustment module 1004 is further configured to combine the grid facility score index information in the score index information set to be adjusted according to the combined score index information to obtain combined score index information; splitting the power grid construction scoring index information in the scoring index information set to be adjusted according to the splitting scoring index information to obtain split scoring index information; according to the newly added scoring index information, newly adding grid radiation scoring index information in a scoring index information set to be adjusted; and obtaining an adjusted grading index information set according to the grading index information after combination, the grading index information after splitting and the power grid radiation grading index information.

In one embodiment, the scoring index association module 1006 is further configured to classify each scoring index information in the set of adjusted scoring index information according to the grid environment classification information, the grid interaction classification information, and the grid monitoring classification information corresponding to the grid project, to obtain a set of environment classification scoring index information, an interaction classification scoring index information, and a set of monitoring classification scoring index information; correlating each scoring index information in the environment classification scoring index information set to obtain environment correlation scoring index information; correlating each grading index information in the interactive classification grading index information set to obtain interactive correlation grading index information; and correlating each grading index information in the monitoring classification grading index information set to obtain monitoring correlation grading index information.

In one embodiment, the scoring indicator association module 1006 is further configured to determine, according to each scoring indicator information in the environment classification scoring indicator information set, each environment association primary scoring indicator information; for any environment-associated primary scoring index information, determining each environment-associated secondary scoring index information according to each scoring index information in the environment-classified scoring index information set; aiming at any environment-associated secondary scoring index information, determining each environment-associated tertiary scoring index information according to each scoring index information in the environment-classified scoring index information set; and carrying out step-by-step association on the primary scoring index information of each environment association, the secondary scoring index information of each environment association and the tertiary scoring index information of each environment association to obtain the scoring index information of the environment association.

In one embodiment, the scoring indicator association module 1006 is further configured to determine, according to each scoring indicator information in the interaction classification scoring indicator information set, each interaction association primary scoring indicator information; aiming at any interactive association primary grading index information, determining each environment association secondary grading index information according to each grading index information in the interactive classification grading index information set; aiming at any interaction association secondary scoring index information, determining each interaction association tertiary scoring index information according to each scoring index information in the interaction classification scoring index information set; and carrying out step-by-step association on the first grade grading index information of each interaction association, the second grade grading index information of each interaction association and the third grade grading index information of each interaction association to obtain the grading index information of the interaction association.

In one embodiment, the scoring index association module 1006 is further configured to determine each monitoring associated primary scoring index information according to each scoring index information in the monitoring classification scoring index information set; aiming at any monitoring associated primary grading index information, determining each environment associated secondary grading index information according to each grading index information in the monitoring classification grading index information set; aiming at any monitoring association secondary scoring index information, determining each monitoring association tertiary scoring index information according to each scoring index information in the monitoring classification scoring index information set; and step-by-step association is carried out on the first-level grading index information of each monitoring association, the second-level grading index information of each monitoring association and the third-level grading index information of each monitoring association, so that the monitoring association grading index information is obtained.

All or part of each module in the power grid engineering ESG scoring index system model building device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 11. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured 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, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing server data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing a method for constructing the grid engineering ESG scoring index system model.

It will be appreciated by those skilled in the art that the structure shown in fig. 11 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application applies, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.

In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, storing a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

In one embodiment, a computer program product or computer program is provided that includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-described method embodiments.

It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

1. The method for constructing the power grid engineering ESG scoring index system model is characterized by comprising the following steps of:

acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering;

adjusting the score index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted score index information set corresponding to the power grid project;

According to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering, correlating each scoring index information in the adjusted scoring index information set to obtain environment correlation scoring index information, interaction correlation scoring index information and monitoring correlation scoring index information;

constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

2. The method according to claim 1, wherein adjusting the set of scoring indicator information to be adjusted corresponding to the grid project according to the grid project design data, the grid project resource interaction data, the grid project construction data, the grid project operation data, and the grid project loss data, to obtain the set of adjusted scoring indicator information corresponding to the grid project, comprises:

Determining merging score index information, splitting score index information and newly added score index information corresponding to the power grid engineering according to the power grid engineering design data, the power grid engineering resource interaction data, the power grid engineering construction data, the power grid engineering operation data and the power grid engineering loss data;

and adjusting the score index information set to be adjusted according to the combined score index information, the split score index information and the newly added score index information to obtain an adjusted score index information set corresponding to the power grid project.

3. The method of claim 2, wherein the adjusting the set of score index information to be adjusted according to the combined score index information, the split score index information, and the newly added score index information to obtain the set of adjusted score index information corresponding to the power grid project includes:

combining the grid facility scoring index information in the scoring index information set to be adjusted according to the combined scoring index information to obtain combined scoring index information;

splitting the power grid construction grading index information in the grading index information set to be adjusted according to the splitting grading index information to obtain split grading index information;

According to the newly added scoring index information, newly adding grid radiation scoring index information in the scoring index information set to be adjusted;

and obtaining the adjusted grading index information set according to the grading index information after combination, the grading index information after splitting and the power grid radiation grading index information.

4. The method according to claim 1, wherein the associating each scoring indicator information in the set of adjusted scoring indicator information according to the grid environment classification information, the grid interaction classification information, and the grid monitoring classification information corresponding to the grid project to obtain environment-associated scoring indicator information, interaction-associated scoring indicator information, and monitoring-associated scoring indicator information includes:

classifying each grading index information in the adjusted grading index information set according to the power grid environment classification information, the power grid interaction classification information and the power grid monitoring classification information corresponding to the power grid engineering to obtain an environment classification grading index information set, an interaction classification grading index information set and a monitoring classification grading index information set;

correlating each scoring index information in the environment classification scoring index information set to obtain the environment correlation scoring index information;

Correlating each grading index information in the interactive classification grading index information set to obtain the interactive correlation grading index information;

and correlating each grading index information in the monitoring classification grading index information set to obtain the monitoring correlation grading index information.

5. The method of claim 4, wherein associating each scoring indicator information in the set of environmental classification scoring indicator information to obtain the environmental association scoring indicator information, comprises:

determining the first-level grading index information of each environment according to each grading index information in the environment classification grading index information set;

determining secondary scoring index information associated with each environment according to each scoring index information in the environment classification scoring index information set aiming at any one of the environment associated primary scoring index information;

determining three-level grading index information of each environment association according to each grading index information in the environment classification grading index information set aiming at any one of the environment association two-level grading index information;

and carrying out step-by-step association on the environment-associated primary scoring index information, the environment-associated secondary scoring index information and the environment-associated tertiary scoring index information to obtain the environment-associated scoring index information.

6. The method of claim 4, wherein associating each scoring indicator information in the set of interaction category scoring indicator information to obtain the interaction association scoring indicator information, comprises:

determining the first-level grading index information of each interaction according to each grading index information in the interaction classification grading index information set;

determining secondary grading index information of each environment association according to each grading index information in the grading index information set of the interaction classification aiming at any one of the interaction association primary grading index information;

aiming at any interaction association secondary scoring index information, determining each interaction association tertiary scoring index information according to each scoring index information in the interaction classification scoring index information set;

and carrying out step-by-step association on the first grade grading index information of each interaction association, the second grade grading index information of each interaction association and the third grade grading index information of each interaction association to obtain the grading index information of the interaction association.

7. The method of claim 4, wherein associating each scoring indicator information in the set of monitoring classification scoring indicator information to obtain the monitoring association scoring indicator information, comprises:

Determining the first-level grading index information of each monitoring association according to each grading index information in the monitoring classification grading index information set;

aiming at any one of the monitoring associated primary scoring index information, determining each environment associated secondary scoring index information according to each scoring index information in the monitoring classification scoring index information set;

aiming at any one of the monitoring association secondary scoring index information, determining each monitoring association tertiary scoring index information according to each scoring index information in the monitoring classification scoring index information set;

and step-by-step association is carried out on each monitoring association primary scoring index information, each monitoring association secondary scoring index information and each monitoring association tertiary scoring index information to obtain the monitoring association scoring index information.

8. The utility model provides a power grid engineering ESG scoring index system model construction device which is characterized in that the device comprises:

the power grid data acquisition module is used for acquiring power grid engineering design data, power grid engineering resource interaction data, power grid engineering construction data, power grid engineering operation data and power grid engineering loss data in power grid engineering;

the grading index adjustment module is used for adjusting the grading index information set to be adjusted corresponding to the power grid project according to the power grid project design data, the power grid project resource interaction data, the power grid project construction data, the power grid project operation data and the power grid project loss data to obtain an adjusted grading index information set corresponding to the power grid project;

The grading index association module is used for associating each grading index information in the adjusted grading index information set according to the grid environment classification information, the grid interaction classification information and the grid monitoring classification information corresponding to the grid engineering to obtain environment association grading index information, interaction association grading index information and monitoring association grading index information;

the scoring model construction module is used for constructing a power grid engineering scoring index system model corresponding to the power grid engineering according to the environment association scoring index information, the interaction association scoring index information and the monitoring association scoring index information; the power grid project scoring index system model is used for monitoring carbon emission data in the life cycle of the power grid project.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.