CN116629899A - Grading method, grading device and computer equipment based on grid engineering ESG (electronic service guide) - Google Patents
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Abstract
The application relates to a scoring method, a scoring device and computer equipment based on an ESG (electric network engineering). The method comprises the following steps: acquiring power grid engineering full life cycle description data of power grid engineering; determining a power grid project scoring range and a power grid project scoring period according to the power grid project full life cycle description data; inputting the range, the period and the description data into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set; inputting the range, the period and the description data into a power grid engineering index system algorithm model of the power grid engineering to obtain an electric power resource interaction importance information set; and generating a grid persistence scoring report of the power grid project according to the full life cycle description data of the power grid project, the power grid project association scoring index information set and the power resource interaction importance information set. By adopting the method, the carbon emission continuous attention efficiency of the power grid engineering in the whole life cycle process of construction and operation can be improved.
Description
Technical Field
The application relates to the technical field of carbon emission of power grid engineering, in particular to a scoring method, a scoring device, computer equipment, a storage medium and a computer program product based on an ESG (electronic service guide) of the power grid engineering.
Background
With the development of the power grid system technology, the construction of power grid engineering is matched with the rapid development stage. The carbon emission of the construction of the power grid project mainly comprises the carbon emission of building materials, the carbon emission generated by engineering machinery, the carbon emission in the running process of the power grid and the carbon emission caused by scrapping of the power grid; therefore, the method has positive significance in planning and designing the reduction of carbon emission in the subsequent power grid engineering construction through the environment interaction condition of the power grid engineering.
In the traditional technology, the total carbon emission produced by the power grid project is calculated by acquiring equipment of each part and operation consumption of each part in the power grid project, however, the analysis mode only can roughly calculate the carbon emission analysis of the power grid project, so that the carbon emission analysis result of the power grid project is inaccurate, the state, aging degree and the like of the equipment of each part of the power grid project can increase the carbon emission, and meanwhile, environmental influence factors of the construction site of the power grid project can also increase the carbon emission, thereby causing the continuous attention efficiency of the carbon emission in the whole life cycle process of construction and operation of the power grid system to be low.
Disclosure of Invention
Based on this, it is necessary to provide a scoring method, a scoring device, a scoring computer readable storage medium and a scoring computer program product based on the electric network engineering ESG, which can improve the continuous attention efficiency of carbon emission during the whole life cycle of construction and operation of the electric network engineering.
In a first aspect, the present application provides a scoring method based on a grid engineering ESG. The method comprises the following steps: responding to a power grid project persistence scoring task corresponding to a power grid project, and acquiring power grid project full life cycle description data of the power grid project; determining a power grid project scoring range and a power grid project scoring period corresponding to the power grid project according to the power grid project full life cycle description data; inputting the power grid project scoring range, the power grid project scoring period and the power grid project full life cycle description data into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project; inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; and generating a grid persistence score report of the power grid project according to the power grid project full life cycle description data, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition of the power grid project.
In a second aspect, the application further provides a scoring device based on the grid engineering ESG. The device comprises: the description data acquisition module is used for responding to the power grid project persistence scoring task corresponding to the power grid project and acquiring the power grid project full life cycle description data of the power grid project; the scoring parameter determining module is used for determining a scoring range of the power grid project and a scoring period of the power grid project corresponding to the power grid project according to the whole life cycle description data of the power grid project; the index information determining module is used for inputting the power grid project scoring range, the power grid project scoring period and the power grid project full life cycle description data into a scoring index system model of the power grid project to determine a power grid project associated scoring index information set corresponding to the power grid project; the importance information obtaining module is used for inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; the grading report generation module is used for generating a power grid sustainability grading report of the power grid project according to the power grid project full life cycle description data, the power grid project associated grading index information set and the power resource interaction importance information set, wherein the power grid sustainability grading report is used for continuously monitoring the carbon emission condition 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: responding to a power grid project persistence scoring task corresponding to a power grid project, and acquiring power grid project full life cycle description data of the power grid project; determining a power grid project scoring range and a power grid project scoring period corresponding to the power grid project according to the power grid project full life cycle description data; inputting the power grid project scoring range, the power grid project scoring period and the power grid project full life cycle description data into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project; inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; and generating a grid persistence score report of the power grid project according to the power grid project full life cycle description data, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition 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: responding to a power grid project persistence scoring task corresponding to a power grid project, and acquiring power grid project full life cycle description data of the power grid project; determining a power grid project scoring range and a power grid project scoring period corresponding to the power grid project according to the power grid project full life cycle description data; inputting the power grid project scoring range, the power grid project scoring period and the power grid project full life cycle description data into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project; inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; and generating a grid persistence score report of the power grid project according to the power grid project full life cycle description data, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition 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: responding to a power grid project persistence scoring task corresponding to a power grid project, and acquiring power grid project full life cycle description data of the power grid project; determining a power grid project scoring range and a power grid project scoring period corresponding to the power grid project according to the power grid project full life cycle description data; inputting the power grid project scoring range, the power grid project scoring period and the power grid project full life cycle description data into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project; inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; and generating a grid persistence score report of the power grid project according to the power grid project full life cycle description data, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition of the power grid project.
The scoring method, the scoring device, the computer equipment, the storage medium and the computer program product based on the grid project ESG acquire the grid project full life cycle description data of the grid project by responding to the grid project continuous scoring task corresponding to the grid project; determining a power grid project scoring range corresponding to the power grid project according to the power grid project full life cycle description data; inputting the scoring range of the power grid project, the scoring period of the power grid project and the whole life cycle description data of the power grid project into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project; inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; and generating a grid persistence score report of the power grid project according to the full life cycle description data of the power grid project, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition of the power grid project.
Determining a power grid project associated scoring index information set for scoring by using a scoring index system model according to the scoring range and the scoring period corresponding to the power grid project according to the power grid project full life cycle description data; further iterating the output result into the whole life cycle description data of the power grid engineering, and obtaining a power resource interaction importance information set by using a power grid engineering index system algorithm model in a scoring range and a scoring period corresponding to the power grid engineering; and finally, iterating the output result into the whole life cycle description data of the power grid engineering and the power grid engineering associated scoring index information set to generate a power grid persistence scoring report. The comprehensive grading can be carried out based on the ESG evaluation indexes of the power grid engineering, the grading range of the power grid engineering is optimized and upgraded, and the carbon emission continuous attention efficiency of the power grid engineering in the whole life cycle process of construction and operation is improved.
Drawings
Fig. 1 is an application environment diagram of a scoring method based on an ESG of a power grid project in one embodiment;
fig. 2 is a flowchart of a scoring method based on an ESG of a power grid project in an embodiment;
FIG. 3 is a flow diagram of a method of grid sustainability score report generation in one embodiment;
FIG. 4 is a flow chart of a method of grid sustainability score report generation in another embodiment;
FIG. 5 is a flow chart of a method for determining a scoring period of a power grid project in one embodiment;
FIG. 6 is a flowchart of a method for determining power grid engineering index aging information in an embodiment;
FIG. 7 is a flowchart of a method for determining a scoring period of a power grid project according to another embodiment;
fig. 8 is a block diagram of a scoring device based on an ESG of a power grid project in one embodiment;
fig. 9 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The scoring method based on the grid engineering ESG provided by the embodiment of the application can be applied to an application environment shown in figure 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 responds to the power grid project persistence scoring task corresponding to the power grid project of the terminal 102, and the server 104 acquires the power grid project full life cycle description data of the power grid project from the terminal 102; determining a power grid project scoring range corresponding to the power grid project according to the power grid project full life cycle description data; inputting the scoring range of the power grid project, the scoring period of the power grid project and the whole life cycle description data of the power grid project into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project; inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; and generating a grid persistence score report of the power grid project according to the full life cycle description data of the power grid project, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition 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 scoring method based on an ESG of power grid engineering is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
step 202, acquiring the whole life cycle description data of the power grid engineering corresponding to the power grid engineering in response to the power grid engineering persistence scoring task of the 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 persistence scoring task may be a persistence degree assessment task of interaction among various indexes of the power grid engineering and influence of the various indexes on the outside.
The power grid engineering full life cycle description data can be description data of a full life cycle from construction to scrapping of the power grid engineering, wherein the power grid engineering full life cycle description data comprises 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 the power grid engineering full life cycle description data are data generated in the process of designing, purchasing, constructing, operating and scrapping 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 about the power grid project duration scoring task corresponding to the power grid project, acquires the power grid project full life cycle description data of the power grid project from the terminal 102, stores the acquired power grid project full life cycle description data in the storage unit, and when the server needs to process any data record in the power grid project full life cycle description data, invokes the volatile storage resource 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 204, determining a power grid project scoring range and a power grid project scoring period corresponding to the power grid project according to the power grid project full life cycle description data.
The grid engineering scoring range may be a range of specific content that the grid engineering needs to score.
The grid project scoring period may be an interval period between two scores of the grid project.
Specifically, describing a change track of an ESG interaction level of the power grid project according to full life cycle description data of the power grid project based on a sensitivity principle of an index algorithm to generate power resource interaction level change data of the power grid project, describing a change track of an ESG interaction development situation of the power grid project according to full life cycle description data of the power grid project based on the sensitivity principle of the index algorithm to generate power resource interaction prediction change data of the power grid project; based on the targets that the data are easy to obtain and quick to process, thereby improving the evaluation frequency of the ESG of the power grid engineering, multiplying the power resource interaction level change data by the corresponding weight, and adding the power resource interaction prediction change data by the corresponding weight to obtain the ageing information of the power grid engineering index.
And calculating a scoring time interval corresponding to the twice scoring of the power grid engineering according to the power grid engineering index aging information, and taking the scoring time interval as a preliminary scoring time interval, wherein the accuracy of the preliminary time scoring time interval is that the power grid engineering scoring interval corresponding to the preliminary scoring time interval is searched from a power grid engineering scoring interval set according to the preliminary scoring time interval. And under the condition that the range of the power grid engineering scoring interval is limited, according to the ageing information of the power grid engineering indexes, the preliminary scoring time interval is adjusted according to the median value of the power grid engineering scoring interval, and the power grid engineering scoring period is obtained, wherein the accuracy of the adjusted power grid engineering scoring period is in units of hours.
And 206, inputting the scoring range of the power grid project, the scoring period of the power grid project and the whole life cycle description data of the power grid project into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project.
The scoring index system model can be a model for determining indexes which need to be scored in the life cycle of the power grid engineering.
The power grid project associated scoring index information set may be a set of scoring indexes for scoring the power grid project.
Specifically, the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data are input into a scoring index system model of the power grid engineering, the scoring index system model is selected, then the selected scoring index information set is adjusted to obtain an adjusted scoring index information set, then each scoring index information in the adjusted scoring index information set is associated according to environment classification, interaction classification and monitoring classification to obtain environment association scoring index information, interaction association scoring index information and monitoring association scoring index information, and finally the power grid engineering association scoring index information set is determined according to each association scoring index information.
And step 208, inputting the grid project scoring range, the grid project scoring period and the grid project full life period description data into a grid project index system algorithm model of the grid project based on the grid project associated scoring index information set to obtain a power resource interaction importance information set corresponding to the grid project associated scoring index information set.
The power grid engineering index system algorithm model can be an algorithm model for determining the weight of each scoring index in the life cycle of power grid engineering.
The power resource interaction importance information set may be a set of weights corresponding to each power grid project association scoring index information in the power grid projects.
Specifically, under the condition that a power grid engineering associated grading index information set is taken as a precondition, power grid engineering grading range, power grid engineering grading period and power grid engineering full life cycle description data are input into a power grid engineering index system algorithm model, a mapping relation between each power grid evaluation index information map and corresponding importance information to be adjusted is established through the power grid engineering index system algorithm model, dynamic adjustment is further introduced to each importance information to be adjusted, and a power resource interaction importance information set corresponding to the power grid engineering associated grading index information set is calculated under the cooperation of basic importance information and the dynamic adjustment importance information, namely, each power grid engineering associated grading index information has corresponding power resource interaction importance information.
Step 210, generating a grid sustainability score report of the power grid project according to the full life cycle description data of the power grid project, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid sustainability score report is used for continuously monitoring the carbon emission condition of the power grid project.
The grid sustainability score report can be a score report for resource interaction sustainability and interaction impact sustainability of the grid engineering at a social level.
Specifically, weighting calculation is performed on each power grid engineering associated scoring index information in the power grid engineering associated scoring index information set and corresponding power resource interaction importance information in the power resource interaction importance information set, namely the corresponding power grid engineering associated scoring index information is multiplied by the power resource interaction importance information, so that a weighted associated scoring index information set is obtained.
And determining the content to be scored in the grid persistence scoring report to be written according to the weighted association scoring index information set, and determining the grid persistence scoring frame information according to the content to be scored. And then, according to the respective data expression forms of 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 full life cycle description data, determining each power grid persistence scoring condition to be written into a power grid persistence scoring report by combining a power grid persistence scoring frame. And finally, according to the grid persistence scoring frame information, writing each grid persistence scoring condition and the grid engineering full life cycle description data into a grid persistence scoring report to be written, and generating a grid persistence scoring report.
In the scoring method based on the electric network engineering ESG, the whole life cycle description data of the electric network engineering is obtained by responding to the electric network engineering persistence scoring task corresponding to the electric network engineering; determining a power grid project scoring range corresponding to the power grid project according to the power grid project full life cycle description data; inputting the scoring range of the power grid project, the scoring period of the power grid project and the whole life cycle description data of the power grid project into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project; inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set; and generating a grid persistence score report of the power grid project according to the full life cycle description data of the power grid project, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition of the power grid project.
Determining a power grid project associated scoring index information set for scoring by using a scoring index system model according to the scoring range and the scoring period corresponding to the power grid project according to the power grid project full life cycle description data; further iterating the output result into the whole life cycle description data of the power grid engineering, and obtaining a power resource interaction importance information set by using a power grid engineering index system algorithm model in a scoring range and a scoring period corresponding to the power grid engineering; and finally, iterating the output result into the whole life cycle description data of the power grid engineering and the power grid engineering associated scoring index information set to generate a power grid persistence scoring report. The comprehensive grading can be carried out based on the ESG evaluation indexes of the power grid engineering, the grading range of the power grid engineering is optimized and upgraded, and the carbon emission continuous attention efficiency of the power grid engineering in the whole life cycle process of construction and operation is improved.
In one embodiment, as shown in fig. 3, generating a grid sustainability score report of the grid project according to the grid project full life cycle description data, the grid project associated score index information set and the power resource interaction importance information set includes:
step 302, multiplying each grid engineering associated score index information in the grid engineering associated score index information set with corresponding power resource interaction importance information in the power resource interaction importance information set to obtain a weighted associated score index information set.
The weighted association score index information may be a result obtained by performing weighted calculation on the power grid engineering association score index information.
Specifically, weighting calculation is performed on each power grid engineering associated scoring index information in the power grid engineering associated scoring index information set and corresponding power resource interaction importance information in the power resource interaction importance information set, namely the corresponding power grid engineering associated scoring index information is multiplied by the power resource interaction importance information, so that a weighted associated scoring index information set is obtained.
And step 304, generating a grid persistence scoring report according to the grid engineering full life cycle description data and the weighted association scoring index information set.
Specifically, according to the weighted association scoring index information set, determining content to be scored in the grid persistence scoring report to be written, and determining grid persistence scoring frame information according to the content to be scored. And then, according to the respective data expression forms of 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 full life cycle description data, determining each power grid persistence scoring condition to be written into a power grid persistence scoring report by combining a power grid persistence scoring frame. And finally, according to the grid persistence scoring frame information, writing each grid persistence scoring condition and the grid engineering full life cycle description data into a grid persistence scoring report to be written, and generating a grid persistence scoring report.
In this embodiment, the power grid engineering associated scoring index information and the power resource interaction importance information are weighted and calculated, and the power grid engineering full life cycle description data are further combined to determine the power grid sustainability scoring report, so that the power grid sustainability scoring report can more reflect the actual condition of the power grid engineering, and the expression of the power grid sustainability scoring report is more accurate.
In one embodiment, as shown in fig. 4, generating a grid sustainability score report from the grid project full lifecycle description data and the weighted associated score index information set includes:
step 402, determining grid persistence scoring framework information according to the weighted association scoring index information set.
The grid sustainability scoring framework information can be an outline for continuously displaying the grid engineering in the grid sustainability scoring report.
Specifically, according to the weighted association scoring index information set, determining content to be scored in the grid persistence scoring report to be written, and determining grid persistence scoring frame information according to the content to be scored.
Step 404, determining each grid persistence scoring condition according to the grid engineering full life cycle description data and the grid persistence scoring frame information.
The grid persistence scoring condition may be a guiding condition for scoring each scoring index in the grid project.
Specifically, according to respective data expression forms of 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 power grid engineering full life cycle description data, and combining a power grid persistence scoring framework, determining each power grid persistence scoring condition to be written into a power grid persistence scoring report.
Step 406, generating a grid persistence scoring report according to the grid persistence scoring framework information, the grid persistence scoring conditions and the full life cycle description data of the grid engineering.
Specifically, according to grid persistence scoring framework information, each grid persistence scoring condition and the grid engineering full life cycle description data are written into a grid persistence scoring report to be written, and a grid persistence scoring report is generated.
In this embodiment, the grid persistence scoring report is generated by establishing the grid persistence scoring frame information and the grid persistence scoring conditions, so that the scoring indexes and scoring standards of each part in the grid persistence scoring report can be defined, and the grid persistence scoring report is more visual.
In one embodiment, as shown in fig. 5, determining a grid project scoring period corresponding to a grid project according to the grid project full life cycle description data includes:
step 502, determining power grid engineering index aging information corresponding to power grid engineering according to the power grid engineering full life cycle description data.
The power grid engineering index aging information may be weighted data of prediction data of interaction conditions of power resources in power grid engineering and historical change data of interaction levels of the power resources.
Specifically, describing a change track of an ESG interaction level of the power grid project according to full life cycle description data of the power grid project based on a sensitivity principle of an index algorithm to generate power resource interaction level change data of the power grid project, describing a change track of an ESG interaction development situation of the power grid project according to full life cycle description data of the power grid project based on the sensitivity principle of the index algorithm to generate power resource interaction prediction change data of the power grid project; based on the targets that the data are easy to obtain and quick to process, thereby improving the evaluation frequency of the ESG of the power grid engineering, multiplying the power resource interaction level change data by the corresponding weight, and adding the power resource interaction prediction change data by the corresponding weight to obtain the ageing information of the power grid engineering index.
Step 504, determining a power grid engineering scoring period according to the power grid engineering index aging information.
Specifically, according to the power grid engineering index aging information, calculating a scoring time interval corresponding to the twice scoring of the power grid engineering as a preliminary scoring time interval, wherein the accuracy of the preliminary time scoring time interval is that the power grid engineering scoring interval corresponding to the preliminary scoring time interval is found from a power grid engineering scoring interval set according to the preliminary scoring time interval by taking a day as a unit. And under the condition that the range of the power grid engineering scoring interval is limited, according to the ageing information of the power grid engineering indexes, the preliminary scoring time interval is adjusted according to the median value of the power grid engineering scoring interval, and the power grid engineering scoring period is obtained, wherein the accuracy of the adjusted power grid engineering scoring period is in units of hours.
In this embodiment, by determining the power grid engineering index aging information according to the power grid engineering full life cycle description data and determining the power grid engineering scoring period according to the power grid engineering index aging information, it is ensured that the index scoring of the power grid engineering is in the power grid engineering scoring period, and the reliability of the last power grid persistence scoring report is ensured.
In one embodiment, as shown in fig. 6, determining the power grid engineering indicator aging information corresponding to the power grid engineering according to the power grid engineering full life cycle description data includes:
step 602, generating power resource interaction level change data of the power grid project according to the full life cycle description data of the power grid project.
The power resource interaction level change data may be a change condition of historical interaction data of internal interaction or external interaction of power resources of the power engineering.
Specifically, based on the sensitivity principle of an index algorithm, describing the change track of the ESG interaction level of the power grid engineering according to the full life cycle description data of the power grid engineering, and generating the power resource interaction level change data of the power grid engineering.
Step 604, generating power resource interaction prediction change data of the power grid project according to the full life cycle description data of the power grid project.
The power resource interaction prediction change data may be a change condition of future interaction data predicted under the condition that power resources of the power engineering interact with each other internally or interact with the outside.
Specifically, based on the sensitivity principle of an index algorithm, the change track of the ESG interactive development situation of the power grid project is described according to the full life cycle description data of the power grid project, and the power resource interactive prediction change data of the power grid project is generated.
And step 606, determining the power grid engineering index aging information according to the power resource interaction level change data and the power resource interaction prediction change data.
Specifically, based on the goal that the data is easy to obtain and is processed rapidly, thereby improving the evaluation frequency of the ESG of the power grid engineering, the power resource interaction level change data is multiplied by the corresponding weight, and the power resource interaction prediction change data is multiplied by the corresponding weight and added to obtain the ageing information of the power grid engineering index.
In this embodiment, the power grid engineering index aging information is determined by using the power resource interaction level change data and the power resource interaction prediction change data, so that the change condition of the historical interaction data and the possible condition of the future interaction data of the power grid engineering can be considered under the condition of calculating the power grid engineering index aging information, the consideration range of calculating the power grid engineering index aging information is wider, and the coverage of the power grid engineering index aging information is improved.
In one embodiment, as shown in fig. 7, determining the grid project scoring period according to the grid project index aging information includes:
step 702, calculating a preliminary scoring time interval for scoring the power grid engineering twice according to the power grid engineering index aging information, and determining a power grid engineering scoring interval.
The preliminary scoring time interval may be a time interval in which one day is scored twice.
The grid engineering scoring interval can be an auxiliary interval with a time and scoring index mapping relation for searching accurate time intervals in the grid engineering.
Specifically, according to the power grid engineering index aging information, calculating a scoring time interval corresponding to the twice scoring of the power grid engineering as a preliminary scoring time interval, wherein the accuracy of the preliminary time scoring time interval is that the power grid engineering scoring interval corresponding to the preliminary scoring time interval is found from a power grid engineering scoring interval set according to the preliminary scoring time interval by taking a day as a unit.
And step 704, under the limitation of the power grid engineering scoring interval, adjusting the preliminary scoring time interval according to the aging information of the power grid engineering indexes to determine the power grid engineering scoring period.
Specifically, under the condition that the range of the power grid engineering scoring interval is limited, according to the ageing information of the power grid engineering indexes, the preliminary scoring time interval is adjusted according to the median value of the power grid engineering scoring interval, and the power grid engineering scoring period is obtained, wherein the accuracy of the adjusted power grid engineering scoring period is in units of hours.
In this embodiment, the preliminary scoring time interval is further refined by using the power grid engineering scoring interval, so that the power grid engineering scoring period can be ensured to meet the service requirement, and the accuracy of the power grid persistence scoring report is improved.
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 scoring device based on the power grid engineering ESG, which is used for realizing the scoring method based on the power grid engineering ESG. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitations in the embodiments of one or more grading devices based on the grid engineering ESG provided below can be referred to the above limitation of a grading method based on the grid engineering ESG, and will not be repeated here 。
In one embodiment, as shown in fig. 8, there is provided a scoring apparatus based on an ESG of power grid engineering, including: a description data acquisition module 802, a scoring parameter determination module 804, an index information determination module 806, an importance information obtaining module 808, and a scoring report generating module 810, wherein:
the description data acquisition module 802 is configured to acquire power grid project full life cycle description data of a power grid project in response to a power grid project persistence scoring task corresponding to the power grid project;
the scoring parameter determining module 804 is configured to determine a scoring range of the power grid project and a scoring period of the power grid project corresponding to the power grid project according to the full life cycle description data of the power grid project;
the index information determining module 806 is configured to input the power grid project scoring range, the power grid project scoring period, and the power grid project full life cycle description data to a scoring index system model of the power grid project, and determine a power grid project associated scoring index information set corresponding to the power grid project;
the importance information obtaining module 808 is configured to input the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data to a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set, so as to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set;
The score report generating module 810 is configured to generate a grid persistence score report of the power grid project according to the full life cycle description data of the power grid project, the power grid project association score index information set and the power resource interaction importance information set, where the grid persistence score report is used for continuously monitoring carbon emission conditions of the power grid project.
In one embodiment, the score report generating module 810 is further configured to multiply each grid engineering associated score indicator information in the grid engineering associated score indicator information set with corresponding power resource interaction importance information in the power resource interaction importance information set to obtain a weighted associated score indicator information set; and generating a grid persistence scoring report according to the grid engineering full life cycle description data and the weighted association scoring index information set.
In one embodiment, the score report generating module 810 is further configured to determine grid sustainability score frame information based on the weighted associated score index information set; the power grid sustainability scoring frame information is a synopsis for carrying out sustainable display on power grid engineering; determining the persistence scoring condition of each power grid according to the whole life cycle description data of the power grid engineering and the persistence scoring frame information of the power grid; and generating a grid persistence scoring report according to the grid persistence scoring frame information, the grid persistence scoring conditions and the full life cycle description data of the grid engineering.
In one embodiment, the scoring parameter determining module 804 is further configured to determine power grid engineering indicator aging information corresponding to the power grid engineering according to the power grid engineering full life cycle description data; and determining the scoring period of the power grid engineering according to the ageing information of the power grid engineering indexes.
In one embodiment, the scoring parameter determining module 804 is further configured to generate power resource interaction level variation data of the power grid project according to the power grid project full life cycle description data; generating power resource interaction prediction change data of the power grid project according to the full life cycle description data of the power grid project; and determining the power grid engineering index aging information according to the power resource interaction level change data and the power resource interaction prediction change data.
In one embodiment, the scoring parameter determining module 804 is further configured to calculate a preliminary scoring time interval for performing scoring twice for the power grid project according to the power grid project index aging information, and determine a scoring interval for the power grid project; and under the limitation of the power grid engineering scoring interval, adjusting the preliminary scoring time interval according to the aging information of the power grid engineering indexes, and determining the power grid engineering scoring period.
The modules in the scoring device based on the grid engineering ESG can be all or partially 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. 9. 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 a processor implements a grid engineering ESG based scoring method.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, 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.
The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to 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 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 embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not 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 foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (10)
1. A scoring method based on a grid engineering ESG, the method comprising:
responding to a power grid project persistence scoring task corresponding to a power grid project, and acquiring power grid project full life cycle description data of the power grid project;
determining a power grid project scoring range and a power grid project scoring period corresponding to the power grid project according to the power grid project full life cycle description data;
Inputting the power grid project scoring range, the power grid project scoring period and the power grid project full life cycle description data into a scoring index system model of the power grid project, and determining a power grid project associated scoring index information set corresponding to the power grid project;
inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set;
and generating a grid persistence score report of the power grid project according to the power grid project full life cycle description data, the power grid project association score index information set and the power resource interaction importance information set, wherein the grid persistence score report is used for continuously monitoring the carbon emission condition of the power grid project.
2. The method of claim 1, wherein generating the grid sustainability score report for the grid project from the grid project full lifecycle description data, the grid project associated scoring index information set, and the power resource interaction importance information set comprises:
Multiplying each power grid engineering associated scoring index information in the power grid engineering associated scoring index information set with corresponding power resource interaction importance information in the power resource interaction importance information set to obtain a weighted associated scoring index information set;
and generating the grid persistence scoring report according to the grid engineering full life cycle description data and the weighted association scoring index information set.
3. The method of claim 2, wherein generating the grid sustainability score report from the grid project full lifecycle description data and the set of weighted associated scoring index information comprises:
determining grid persistence scoring frame information according to the weighted association scoring index information set; the power grid sustainability scoring frame information is an outline for carrying out sustainable display on the power grid engineering;
determining each power grid sustainability scoring condition according to the power grid engineering full life cycle description data and the power grid sustainability scoring frame information;
and generating the grid persistence scoring report according to the grid persistence scoring frame information, the grid persistence scoring conditions and the grid engineering full life cycle description data.
4. The method according to claim 1, wherein determining a grid project scoring period corresponding to the grid project according to the grid project full life cycle description data comprises:
determining power grid engineering index aging information corresponding to the power grid engineering according to the power grid engineering full life cycle description data;
and determining the power grid engineering scoring period according to the power grid engineering index aging information.
5. The method of claim 4, wherein determining grid project index aging information corresponding to the grid project according to the grid project full life cycle description data comprises:
generating power resource interaction level change data of the power grid project according to the power grid project full life cycle description data;
generating power resource interaction prediction change data of the power grid project according to the power grid project full life cycle description data;
and determining the power grid engineering index aging information according to the power resource interaction level change data and the power resource interaction prediction change data.
6. The method of claim 4, wherein determining the grid project scoring period based on the grid project index aging information comprises:
Calculating a preliminary scoring time interval for scoring the power grid engineering twice according to the power grid engineering index aging information, and determining a power grid engineering scoring interval;
and under the limitation of the power grid engineering scoring interval, adjusting the preliminary scoring time interval according to the power grid engineering index aging information to determine the power grid engineering scoring period.
7. A scoring apparatus based on a grid engineering ESG, the apparatus comprising:
the description data acquisition module is used for responding to the power grid project persistence scoring task corresponding to the power grid project and acquiring the power grid project full life cycle description data of the power grid project;
the scoring parameter determining module is used for determining a scoring range of the power grid project and a scoring period of the power grid project corresponding to the power grid project according to the whole life cycle description data of the power grid project;
the index information determining module is used for inputting the power grid project scoring range, the power grid project scoring period and the power grid project full life cycle description data into a scoring index system model of the power grid project to determine a power grid project associated scoring index information set corresponding to the power grid project;
The importance information obtaining module is used for inputting the power grid engineering scoring range, the power grid engineering scoring period and the power grid engineering full life cycle description data into a power grid engineering index system algorithm model of the power grid engineering based on the power grid engineering associated scoring index information set to obtain a power resource interaction importance information set corresponding to the power grid engineering associated scoring index information set;
the grading report generation module is used for generating a power grid sustainability grading report of the power grid project according to the power grid project full life cycle description data, the power grid project associated grading index information set and the power resource interaction importance information set, wherein the power grid sustainability grading report is used for continuously monitoring the carbon emission condition of the power grid project.
8. 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 6 when the computer program is executed.
9. 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 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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