Enterprise low-carbon power authentication method and device, computer equipment and storage medium

Abstract

The invention relates to an enterprise low-carbon power authentication method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining operation space, operation time period and industry type information of a to-be-authenticated enterprise, and basic indexes, then determining a plurality of evaluation indexes corresponding to the to-be-authenticated enterprise according to the industry type information and the basic indexes, and obtaining index standard data of each evaluation index; in the operation space and the operation time period, quantitative virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be authenticated are obtained, and then the evaluation indexes and the data are input into a pre-constructed calculation model; obtaining the index actual data of each evaluation index of the enterprise to be authenticated through the calculation model, and finally obtaining the low-carbon power authentication result of the enterprise to be authenticated according to each index actual data and the corresponding index standard data. By adopting the method, the authentication accuracy of enterprise low-carbon power authentication can be improved.

Description

Technical Field

[0001] The present application relates to the field of environmental science and management technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for enterprise low-carbon electricity certification. Background Art

[0002] Low-carbon certification for enterprises is an important basis for measuring whether an enterprise has the characteristics of green development. The results of low-carbon certification have begun to be considered as one of the carbon assets of an enterprise. Electricity is an important secondary energy source needed in the operation of an enterprise and one of the main indirect carbon emissions of an enterprise. In the operation of an enterprise, the carbon emission level of electricity can be reduced by improving the efficiency of electricity utilization, adjusting the electricity use time, and changing the electricity use structure. Therefore, the low-carbon electricity certification of an enterprise is an important part of the low-carbon certification of an enterprise.

[0003] The existing enterprise low-carbon electricity certification method mainly certifies the green products of enterprises. However, the current certification method has the problem of low accuracy in the certification of enterprise low-carbon electricity. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for enterprise low-carbon electricity certification that can improve the accuracy of certification in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for enterprise low-carbon electricity certification, comprising:

[0006] Obtain the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification;

[0007] According to the industry type information and the basic indicators of low-carbon power certification, multiple low-carbon power evaluation indicators corresponding to the enterprise to be certified are determined, and the indicator standard data of each low-carbon power evaluation indicator is obtained;

[0008] Obtain quantified virtual resource data, energy consumption data, production data and power grid supply data of the enterprise to be certified within the operating space and operating time period;

[0009] Input various low-carbon power evaluation indicators, quantitative virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtain the actual indicator data of various low-carbon power evaluation indicators of the enterprise to be certified through the calculation model;

[0010] According to the actual data of each indicator and its corresponding standard data, the low-carbon electricity certification results of the enterprise to be certified are obtained.

[0011] In one embodiment, obtaining quantified virtual resource data, energy consumption data, production data, and grid power supply data of the enterprise to be authenticated during the operation space and operation time period includes:

[0012] In the operation space, a target time period is determined from the operation time cycle according to a pre-set time period acquisition rule, and quantified virtual resource sub-data, energy consumption sub-data, production sub-data and power grid power supply sub-data in the target time period are acquired;

[0013] Input various low-carbon power assessment indicators, quantified virtual resource data, energy consumption data, production data and grid power supply data into a pre-built calculation model, including:

[0014] Various low-carbon electricity assessment indicators, quantified virtual resource sub-data, energy consumption sub-data, production sub-data, grid power supply sub-data and operating time cycle are input into the calculation model.

[0015] In one of the embodiments, the calculation model includes a sub-actual data calculation module and an actual data calculation module;

[0016] The actual data of each low-carbon electricity evaluation index of the enterprise to be certified are obtained through the calculation model, including:

[0017] The sub-actual data calculation module obtains the power carbon emission sub-data according to the power supply sub-data of the power grid and its corresponding target period, and obtains the indicator sub-actual data of each low-carbon power evaluation indicator of the enterprise to be certified based on the power carbon emission sub-data, the quantified virtual resource sub-data, the energy consumption sub-data and the production sub-data;

[0018] The actual data of each indicator and the operating time period are input into the actual data calculation module to obtain the actual data of each low-carbon electricity evaluation indicator of the enterprise to be certified.

[0019] In one embodiment, according to the industry type information and the basic indicators of low-carbon electricity certification, multiple low-carbon electricity evaluation indicators corresponding to the enterprise to be certified are determined, including:

[0020] According to the industry type information, the elasticity coefficient between the basic indicators of low-carbon electricity certification and electricity carbon emissions is obtained;

[0021] By using the elasticity coefficient and the basic indicators of low-carbon electricity certification, multiple low-carbon electricity assessment indicators corresponding to the enterprises to be certified are determined.

[0022] In an exemplary embodiment, according to the actual data of each indicator and its corresponding standard data of the indicator, the low-carbon electricity certification result of the enterprise to be certified is obtained, including:

[0023] When the actual data of each indicator does not exceed the corresponding standard data of the indicator, the enterprise to be certified is determined to have passed the low-carbon electricity certification, and the corresponding low-carbon electricity certification result is generated;

[0024] If the actual data of any indicator exceeds the corresponding standard data of the indicator, it is determined that the enterprise to be certified has not passed the low-carbon electricity certification, and the corresponding low-carbon electricity certification result is generated.

[0025] In one embodiment, according to the actual data of each indicator and its corresponding standard data of the indicator, the low-carbon electricity certification result of the enterprise to be certified is obtained, which also includes:

[0026] Obtain the indicator weights corresponding to each low-carbon power evaluation indicator, and obtain carbon emission data within the operating space and operating time period;

[0027] Using the weight of each indicator, the actual data of each indicator and the standard data of each indicator are weighted averaged to obtain the mean of the actual data of the indicator and the mean of the standard data of the indicator;

[0028] When the mean value of the actual indicator data does not exceed the mean value of the standard indicator data, and the actual indicator data of the pre-set target low-carbon electricity assessment indicator does not exceed the corresponding standard indicator data, and the carbon emission data does not exceed the pre-set carbon emission threshold, the enterprise to be certified is determined to have passed the low-carbon electricity certification and the corresponding low-carbon electricity certification result is generated.

[0029] In a second aspect, the present application also provides a low-carbon electricity certification device for an enterprise, comprising:

[0030] The acquisition module is used to obtain the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification;

[0031] The indicator determination module is used to determine multiple low-carbon power evaluation indicators corresponding to the enterprise to be certified based on industry type information and basic indicators of low-carbon power certification, and obtain indicator standard data of each low-carbon power evaluation indicator;

[0032] A data acquisition module is used to acquire the quantitative virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be certified within the operation space and operation time period;

[0033] The indicator actual data acquisition module is used to input various low-carbon power evaluation indicators, quantitative virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtain the indicator actual data of various low-carbon power evaluation indicators of the enterprise to be certified through the calculation model;

[0034] The certification module is used to obtain the low-carbon electricity certification results of the enterprise to be certified based on the actual data of each indicator and its corresponding indicator standard data.

[0035] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0036] Obtain the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification;

[0037] According to the industry type information and the basic indicators of low-carbon power certification, multiple low-carbon power evaluation indicators corresponding to the enterprise to be certified are determined, and the indicator standard data of each low-carbon power evaluation indicator is obtained;

[0038] Obtain quantified virtual resource data, energy consumption data, production data and power grid supply data of the enterprise to be certified within the operating space and operating time period;

[0039] Input various low-carbon power evaluation indicators, quantitative virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtain the actual indicator data of various low-carbon power evaluation indicators of the enterprise to be certified through the calculation model;

[0040] According to the actual data of each indicator and its corresponding standard data, the low-carbon electricity certification results of the enterprise to be certified are obtained.

[0041] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0042] Obtain the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification;

[0043] According to the industry type information and the basic indicators of low-carbon power certification, multiple low-carbon power evaluation indicators corresponding to the enterprise to be certified are determined, and the indicator standard data of each low-carbon power evaluation indicator is obtained;

[0044] Obtain quantified virtual resource data, energy consumption data, production data and power grid supply data of the enterprise to be certified within the operating space and operating time period;

[0045] Input various low-carbon power evaluation indicators, quantitative virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtain the actual indicator data of various low-carbon power evaluation indicators of the enterprise to be certified through the calculation model;

[0046] According to the actual data of each indicator and its corresponding standard data, the low-carbon electricity certification results of the enterprise to be certified are obtained.

[0047] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0048] Obtain the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification;

[0049] According to the industry type information and the basic indicators of low-carbon power certification, multiple low-carbon power evaluation indicators corresponding to the enterprise to be certified are determined, and the indicator standard data of each low-carbon power evaluation indicator is obtained;

[0050] Obtain quantified virtual resource data, energy consumption data, production data and power grid supply data of the enterprise to be certified within the operating space and operating time period;

[0051] Input various low-carbon power evaluation indicators, quantitative virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtain the actual indicator data of various low-carbon power evaluation indicators of the enterprise to be certified through the calculation model;

[0052] According to the actual data of each indicator and its corresponding standard data, the low-carbon electricity certification results of the enterprise to be certified are obtained.

[0053] The above-mentioned enterprise low-carbon electricity certification method, device, computer equipment, computer-readable storage medium and computer program product obtain the operating space, operating time period and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification, and then determine multiple low-carbon electricity evaluation indicators corresponding to the enterprise to be certified based on the industry type information and the basic indicators of low-carbon electricity certification, and obtain the indicator standard data of each low-carbon electricity evaluation indicator, and obtain the quantified virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be certified within the operating space and operating time period, and then input each low-carbon electricity evaluation indicator, quantified virtual resource data, energy consumption data, production data and power grid power supply data into a pre-constructed calculation model, and obtain the actual indicator data of each low-carbon electricity evaluation indicator of the enterprise to be certified through the calculation model, and finally obtain the low-carbon electricity certification result of the enterprise to be certified based on the actual data of each indicator and its corresponding indicator standard data. Before conducting enterprise low-carbon electricity certification, first determine the evaluation indicators corresponding to the enterprise based on the corresponding industry type information and low-carbon electricity certification basic indicators of the enterprise, which not only unifies the evaluation standards but also has specificity, and is more suitable for the state of the enterprise. At the same time, the data collected for indicator calculation is also carried out within the time and space range of the enterprise's operation, ensuring the validity of the data. By establishing unified evaluation indicators and collecting data within the corresponding time and space, the accuracy of enterprise low-carbon electricity certification is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 This is an application environment diagram of a method for certifying low-carbon electricity for an enterprise in one embodiment;

[0056] Figure 2 A schematic diagram of a process for enterprise low-carbon electricity certification in one embodiment;

[0057] Figure 3 A schematic diagram of a flow chart of a method for calculating actual indicator data in an embodiment;

[0058] Figure 4 A schematic diagram of a process of a method for certifying low-carbon electricity for an enterprise in another embodiment;

[0059] Figure 5 A schematic diagram of optional indicators in a low-carbon electricity evaluation indicator in an embodiment;

[0060] Figure 6 A schematic diagram of a flow chart of a method for calculating actual indicator data in another embodiment;

[0061] Figure 7 It is a structural block diagram of a low-carbon electricity certification device for an enterprise in one embodiment;

[0062] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0064] The enterprise low-carbon electricity certification method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, industry i includes multiple enterprises, and multiple enterprises in industry i can communicate with server 104 through the network. The data storage system can store data that server 104 needs to process. The data storage system can be integrated on server 104, or placed on the cloud or other network servers. Taking enterprise n102 as an example of an enterprise to be certified, server 104 obtains the operation space, operation time period and corresponding industry type information of enterprise n102 through the network, and obtains the basic indicators of low-carbon power certification from the data storage system. According to the industry type information and the basic indicators of low-carbon power certification, multiple low-carbon power evaluation indicators corresponding to enterprise n102 are determined, and the indicator standard data of each low-carbon power evaluation indicator is obtained. Within the operation space and operation time period, the quantitative virtual resource data, energy consumption data, production data and power grid power supply data of enterprise n102 are obtained, and then each low-carbon power evaluation indicator, quantitative virtual resource data, energy consumption data, production data and power grid power supply data are input into the pre-built calculation model, and the actual indicator data of each low-carbon power evaluation indicator of enterprise n102 is obtained through the calculation model. Finally, according to the actual data of each indicator and its corresponding indicator standard data, the low-carbon power certification result of enterprise n102 is obtained. Among them, server 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0065] In an exemplary embodiment, Figure 2 As shown, a method for enterprise low-carbon electricity certification is provided, which is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S201 to S205. Among them:

[0066] Step S201, obtaining the operation space, operation time period and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification.

[0067] Among them, the operating space can be understood as the scope of the enterprise's production and operation process, the operating time cycle can be understood as the time cycle of the enterprise's generation and operation, and the basic indicators of low-carbon power certification can be understood as the mandatory requirements for achieving low-carbon power certification. Enterprises that have obtained low-carbon certification must at least have a certain level of indicators, including the enterprise's electricity carbon factor and the enterprise's carbon emissions per unit of output value.

[0068] For example, server 104 obtains the operating space, operating time cycle and industry type information of enterprise n102, and obtains the basic indicators of low-carbon electricity certification stored in the data storage system. By pre-collecting the enterprise information of enterprise n102 and collecting the basic indicators of low-carbon electricity certification stored in the data storage system, a data foundation is laid for the subsequent construction of the low-carbon electricity evaluation indicators corresponding to enterprise n102, thereby accelerating the speed of determining the low-carbon electricity evaluation indicators.

[0069] Step S202: According to the industry type information and the basic indicators of low-carbon power certification, multiple low-carbon power evaluation indicators corresponding to the enterprise to be certified are determined, and the indicator standard data of each low-carbon power evaluation indicator is obtained.

[0070] Among them, the indicator standard data can be understood as the current low-carbon electricity evaluation indicator has corresponding set standard data, or this type of low-carbon electricity evaluation indicator is an indicator that appears for the first time and there is no set standard data. At this time, the indicator standard data can be understood as the average of the actual data of this low-carbon electricity evaluation indicator of multiple enterprises in this industry.

[0071] Optionally, server 104 determines multiple low-carbon electricity assessment indicators corresponding to enterprise n102 based on industry type information and basic indicators of low-carbon electricity certification, and obtains indicator standard data for each low-carbon electricity assessment indicator, specifically including the following two methods of obtaining indicator standard data: 1. When the indicator standard data of each low-carbon electricity assessment indicator is stored in the data storage system associated with server 104, the indicator standard data of each low-carbon electricity assessment indicator can be directly obtained from the data storage system; 2. When the indicator standard data of each low-carbon electricity assessment indicator does not exist in the data storage system associated with server 104, the actual indicator data of each low-carbon electricity assessment indicator can be obtained and wait for each enterprise in the industry to complete the acquisition, and the average of the actual indicator data under each low-carbon electricity assessment indicator is obtained, and the average of the actual indicator data corresponding to each low-carbon electricity assessment indicator is used as the corresponding indicator standard data. By determining the unified low-carbon electricity certification indicators for the industry based on the corresponding industry type information of the enterprise and the basic indicators of low-carbon electricity certification, other enterprises in this industry can quickly carry out low-carbon electricity certification when they need it. In addition, when the certification indicators are industry-specific, the accuracy of low-carbon electricity certification of each enterprise is also improved.

[0072] Step S203, obtaining the quantified virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be authenticated within the operation space and operation time period.

[0073] Among them, quantitative virtual resource data is understood as virtual resource data that can be compared, also known as macroeconomic data, such as CDP (Gross Domestic Product), output value data, consumption data, etc. Energy consumption data can be understood as the energy data consumed by the enterprise in the production and operation process. The power grid power supply data can be understood as the relevant information of the electricity provided by the power grid to consumers and various users, such as the electricity carbon factor data. The electricity carbon factor data can be understood as the carbon dioxide emissions generated in the process of unit electricity production.

[0074] For example, the server 104 selects to obtain the quantitative virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise n102 within the operation space and operation time period of the enterprise n102. The server 104 selects to obtain the relevant resource data of the enterprise within the operation space and operation time of the enterprise n102. The function of the server 104 is in a dormant state during the rest of the time, avoiding the unnecessary cost consumption caused by long-term data acquisition. In addition, the pre-acquisition of data lays a data foundation for the subsequent calculation of indicator data.

[0075] Step S204, input various low-carbon power evaluation indicators, quantified virtual resource data, energy consumption data, production data and grid power supply data into a pre-built calculation model, and obtain the actual indicator data of various low-carbon power evaluation indicators of the enterprise to be certified through the calculation model.

[0076] Among them, the computational models can include carbon emission flow analysis models and structural decomposition models. The carbon emission flow analysis model can be understood as a tool for tracking and analyzing the flow of carbon emissions in different economic activities, industrial processes and lifestyles. The structural decomposition model can be understood as a model for analyzing the interactions and dynamic changes of various components in a complex system.

[0077] Optionally, the server 104 inputs each low-carbon power evaluation index, quantified virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, firstly obtains the corresponding power carbon emission data according to the power grid power supply data through the carbon emission flow analysis model, and then obtains the actual index data of each low-carbon power evaluation index of the enterprise n102 based on the power carbon emission data, quantified virtual resource data, energy consumption data and production data through the structural decomposition model. Through the carbon emission flow analysis model, the carbon emission level of the enterprise under different energy consumption scenarios can be calculated more accurately, which is helpful to identify the main emission sources. Therefore, the actual index data of each low-carbon power evaluation index is determined based on the power carbon emission data, and the accuracy of the determined actual index data is higher.

[0078] Step S205, obtaining the low-carbon electricity certification result of the enterprise to be certified according to the actual data of each indicator and its corresponding standard indicator data.

[0079] Among them, the results of low-carbon electricity certification include whether the enterprise passed the low-carbon electricity certification and whether the enterprise failed the low-carbon electricity certification.

[0080] Optionally, in the case where the indicator standard data is obtained from the data storage system associated with the server 104, if the actual data of each indicator does not exceed the corresponding indicator standard data, it is determined that the enterprise n102 has passed the low-carbon power certification, and the corresponding low-carbon power certification result is generated; if any of the actual data of the indicator exceeds the corresponding indicator standard data, it is determined that the enterprise n102 has not passed the low-carbon power certification, and the corresponding low-carbon power certification result is generated; in the case where the indicator standard data is the average of the actual data of the indicators of each low-carbon power evaluation indicator in this industry, if the value of the weighted average of the actual data of each indicator does not exceed the value of the weighted average of the average of the actual data of the corresponding indicator, and at the same time meets the total carbon emission limit and the preset limit of the actual data of the indicator of the low-carbon power evaluation indicator, it is determined that the enterprise n102 has passed the low-carbon power certification, and the corresponding low-carbon power certification result is generated. If any one of the items is not met, it is determined that the enterprise n102 has not passed the low-carbon power certification, and the corresponding low-carbon power certification result is generated. Through direct comparison with standard data, the certification process appears clearer and more transparent, avoiding subjective judgment, thereby improving the accuracy of the company's low-carbon electricity certification. In addition, when the standard data of the indicator is the average of the actual data of the indicator, multiple conditions are set (including that the actual data must not exceed the standard data, weighted sum restrictions and carbon emission restrictions) to help companies identify and control possible risks in their use of low-carbon electricity and ensure their compliance.

[0081] In the above-mentioned enterprise low-carbon electricity certification method, the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification are obtained, and then according to the industry type information and the basic indicators of low-carbon electricity certification, multiple low-carbon electricity evaluation indicators corresponding to the enterprise to be certified are determined, and the indicator standard data of each low-carbon electricity evaluation indicator is obtained, and within the operating space and operating time cycle, the quantified virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be certified are obtained, and then each low-carbon electricity evaluation indicator, quantified virtual resource data, energy consumption data, production data and power grid power supply data are input into a pre-constructed calculation model, and the actual indicator data of each low-carbon electricity evaluation indicator of the enterprise to be certified is obtained through the calculation model, and finally, according to the actual data of each indicator and its corresponding indicator standard data, the low-carbon electricity certification result of the enterprise to be certified is obtained. Before conducting enterprise low-carbon electricity certification, first determine the evaluation indicators corresponding to the enterprise based on the corresponding industry type information and low-carbon electricity certification basic indicators of the enterprise, which not only unifies the evaluation standards but also has specificity, and is more suitable for the state of the enterprise. At the same time, the data collected for indicator calculation is also carried out within the time and space range of the enterprise's operation, ensuring the validity of the data. By establishing unified evaluation indicators and collecting data within the corresponding time and space, the accuracy of enterprise low-carbon electricity certification is improved.

[0082] In one embodiment, within the operation space and operation time period, the quantified virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be authenticated are obtained, including: within the operation space, according to a preset time period acquisition rule, a target time period is determined from the operation time period, and the quantified virtual resource sub-data, energy consumption sub-data, production sub-data and power grid power supply sub-data within the target time period are obtained;

[0083] Inputting various low-carbon electricity assessment indicators, quantified virtual resource data, energy consumption data, production data and grid power supply data into a pre-built calculation model, including: inputting various low-carbon electricity assessment indicators, quantified virtual resource sub-data, energy consumption sub-data, production sub-data, grid power supply sub-data and operating time cycle into the calculation model.

[0084] Among them, the target period can be understood as the most representative period of the enterprise's cycle during production and operation time. The corresponding period acquisition rules can be set according to the actual situation of the enterprise's operation to determine a target period that is more representative of the enterprise.

[0085] Optionally, the server 104 determines the target time period from the operating time period according to the pre-set time period acquisition rules in the operating space of the enterprise n102, obtains the quantified virtual resource sub-data, energy consumption sub-data, production sub-data and power grid power supply sub-data in the target time period, and then inputs each low-carbon power evaluation index, quantified virtual resource sub-data, energy consumption sub-data, production sub-data, power grid power supply sub-data and operating time period into the calculation model. By determining the most representative target time period from the operating time period of the enterprise, and inputting the enterprise-related data in this target time period into the calculation model, waiting for the calculation model to calculate the actual data of the indicators of each low-carbon power evaluation index, selecting the sub-data of the target time period as the basis for the actual data of the indicators, avoiding directly processing the data of the entire time period, speeding up the calculation speed of the calculation model, and thus improving the certification efficiency of the enterprise's low-carbon power certification.

[0086] In an exemplary embodiment, Figure 3 As shown, the calculation model includes a sub-actual data calculation module and an actual data calculation module, and the actual data of each low-carbon power evaluation index of the enterprise to be certified is obtained through the calculation model, including step S301 and step S302. Among them:

[0087] In step S302, the sub-actual data calculation module obtains the power carbon emission sub-data according to the power supply sub-data of the power grid and its corresponding target time period, and obtains the indicator sub-actual data of each low-carbon power evaluation indicator of the enterprise to be certified based on the power carbon emission sub-data, quantified virtual resource sub-data, energy consumption sub-data and production sub-data.

[0088] For example, the sub-actual data calculation module in the calculation model obtains the power carbon emission sub-data within the target period according to the power supply sub-data of the power grid and its corresponding target period (this is the work performed by the aforementioned carbon emission flow analysis model), and then obtains the indicator sub-actual data of each low-carbon power evaluation index of enterprise n102 within the target period based on the power carbon emission sub-data, quantified virtual resource sub-data, energy consumption sub-data and production sub-data. By using the power carbon emission sub-data to calculate the indicator sub-actual data of each low-carbon power evaluation index within the target period, a data foundation is laid for subsequent data extrapolation based on the indicator sub-actual data.

[0089] Step S302, inputting the actual data of each indicator sub-index and the operating time period into the actual data calculation module to obtain the actual data of each low-carbon electricity evaluation indicator of the enterprise to be certified.

[0090] Optionally, the server 104 inputs the actual data of each indicator sub-data and the operating time cycle into the actual data calculation module, and the actual data calculation module performs data extrapolation based on the actual data of the indicator sub-data and the operating time cycle. In addition, the actual data of the indicators of a part of the low-carbon power evaluation indicators can be obtained by taking the average value of the actual sub-data of the indicators in each representative time period or taking the actual sub-data of the indicators in a certain representative time period as the base point for data extrapolation according to the specific definition of the indicators, so as to obtain the corresponding actual data of the indicators. Compared with the method of full-cycle data analysis, this application extracts the data of a certain representative time period as the analysis base point, and calculates the actual data of the indicators in a layered progressive manner, so as to facilitate error and omission checking and realize the transparency of the calculation process.

[0091] In one of the embodiments, multiple low-carbon electricity evaluation indicators corresponding to the enterprise to be certified are determined based on industry type information and basic indicators of low-carbon electricity certification, including: obtaining the elasticity coefficient between the basic indicators of low-carbon electricity certification and electricity carbon emissions based on industry type information; using the elasticity coefficient and the basic indicators of low-carbon electricity certification to determine multiple low-carbon electricity evaluation indicators corresponding to the enterprise to be certified.

[0092] Among them, the elasticity coefficient can be understood as a measurable data of the impact of this indicator on electricity carbon emissions.

[0093] For example, the server 104 obtains the elasticity coefficient between the basic indicators of low-carbon power certification and the carbon emissions of electricity according to the industry type information, and the elasticity coefficient and the basic indicators of low-carbon power certification together constitute multiple low-carbon power evaluation indicators corresponding to the enterprise n102. Using the industry type information to obtain the elasticity coefficient between the basic indicators of low-carbon power certification and the carbon emissions of electricity can effectively help the enterprise n102 establish a more accurate and multi-dimensional low-carbon power evaluation indicator. At the same time, the introduction of the elasticity coefficient makes it easier to compare the low-carbon power performance of various industries.

[0094] In one embodiment, a low-carbon electricity certification result of the enterprise to be certified is obtained based on the actual data of each indicator and its corresponding indicator standard data, including: when the actual data of each indicator does not exceed its corresponding indicator standard data, it is determined that the enterprise to be certified has passed the low-carbon electricity certification, and a corresponding low-carbon electricity certification result is generated; if the actual data of any indicator exceeds its corresponding indicator standard data, it is determined that the enterprise to be certified has not passed the low-carbon electricity certification, and a corresponding low-carbon electricity certification result is generated.

[0095] Optionally, when the actual data of each indicator does not exceed the corresponding standard data of the indicator, the server 104 determines that the enterprise n102 has passed the low-carbon electricity certification, and generates a certification result indicating that it has passed the low-carbon electricity certification and feeds it back to the enterprise; when the actual data of any indicator exceeds the corresponding standard data of the indicator, the server 104 determines that the enterprise n102 has not passed the low-carbon electricity certification, and generates a certification result indicating that it has not passed the low-carbon electricity certification and feeds it back to the enterprise. Through clear standards and threshold settings, the certification process becomes standardized and normalized, reducing the factors of subjective judgment and improving the scientific nature of the evaluation; the server 104 quickly generates feedback based on the certification results, which can help enterprises to timely understand their performance in the use of low-carbon electricity and provide a clear direction for subsequent improvements.

[0096] In one embodiment, according to the actual data of each indicator and its corresponding standard data of the indicator, the low-carbon electricity certification result of the enterprise to be certified is obtained, which also includes:

[0097] Obtain the indicator weight corresponding to each low-carbon power evaluation indicator, and obtain the carbon emission data within the operating space and operating time period; use the weight of each indicator to perform weighted average on the actual data of each indicator and the standard data of each indicator, and obtain the mean of the actual data of the indicator and the mean of the standard data of the indicator; when the mean of the actual data of the indicator does not exceed the mean of the standard data of the indicator, and the actual data of the pre-set target low-carbon power evaluation indicator does not exceed the corresponding standard data of the indicator, and the carbon emission data does not exceed the pre-set carbon emission threshold, determine that the enterprise to be certified has passed the low-carbon power certification, and generate the corresponding low-carbon power certification result.

[0098] Among them, the indicator weight can be understood as a quantitative measurement of the contribution of the current indicator to carbon emissions.

[0099] Optionally, server 104 obtains the indicator weights corresponding to each low-carbon electricity assessment indicator, and obtains the carbon emission data of enterprise n102 within the operating space and operating time period, and uses the weights of each indicator to perform weighted average on the actual data of each indicator and the standard data of each indicator to obtain the mean of the actual data of the indicator and the mean of the standard data of the indicator. When the mean of the actual data of the indicator does not exceed the mean of the standard data of the indicator, and the actual data of the indicator of the pre-set target low-carbon electricity assessment indicator does not exceed the corresponding standard data of the indicator, and the carbon emission data does not exceed the pre-set carbon emission threshold, it is determined that enterprise n102 has passed the low-carbon electricity certification, and a certification result indicating that the low-carbon electricity certification has been passed is generated and fed back to the enterprise; if any of the above three judgment conditions is not met, it is determined that enterprise n102 has not passed the low-carbon electricity certification, and a certification result indicating that the low-carbon electricity certification has not been passed is generated and fed back to the enterprise.

[0100] By obtaining the indicator weights corresponding to each indicator, comprehensively considering the degree of sharing of each indicator for carbon emissions, and comparing them with weighted average values, the fairness and scientificity of the comparison are improved. At the same time, the data limitations of other more important indicator data and the data limitations of carbon emission data are also considered, thereby improving the certification accuracy of the company's low-carbon electricity certification.

[0101] In an exemplary embodiment, Figure 4 As shown, a specific implementation method of a method for enterprise low-carbon electricity certification is provided, and the specific steps include:

[0102] S1. Determine the scope of assessment:

[0103] Determine the spatial boundaries of the production and operation activities of the enterprise that need to be evaluated and the time boundaries of the evaluation. This range should reflect the representativeness of the low-carbon electricity certification results. Furthermore, the spatial boundaries should indicate that the evaluation is for specific parts of the enterprise's production, operation, management, etc. For the design and production part, the life cycle boundaries of the production products should be described in detail. The time boundary is the evaluation period for the final certification result. The evaluation period should be set at least to reflect the production mode and electricity consumption of the enterprise in a complete production and operation cycle. Furthermore, in order to conduct a practical investigation of the operation and electricity consumption of the enterprise within a given time period, a certain sampling principle should be adopted to select representative time periods that can represent the daily operation mode of the enterprise.

[0104] S2. Construction of certification indicators:

[0105] Select basic evaluation indicators and optional evaluation indicators for evaluation and certification. Basic evaluation indicators are mandatory requirements for low-carbon electricity certification, and enterprises that obtain low-carbon certification must have at least a certain level of indicators, including the enterprise's electricity carbon factor and the enterprise's carbon emissions per unit of output value. Optional indicators refer to indicators constructed from different perspectives in order to more comprehensively reflect the low-carbon development level of the enterprise. Figure 5 The construction method and specific meaning of some optional indicators are as follows. Furthermore, optional indicators should be selected according to the characteristics of the industry in which the enterprise is located and the situation of the enterprise itself. For industries with conditions, indicators that can reflect the characteristics of the industry can be used as mandatory indicators for evaluation and certification.

[0106] S3. Basic data collection:

[0107] It includes the collection of real-life data on enterprise operations during representative time periods, the collection of dynamic data on carbon-electricity factors on the power grid side, and the collection of enterprise macro data during the certification period. Furthermore, the real-life data on enterprise operations mainly involves a specific inventory of the activity data on the production and operation of the enterprise within the designated spatial scope, and on-site testing of the actual production data and electricity consumption data of the enterprise. The dynamics of carbon-electricity factors on the power grid side mainly rely on the support of the enterprise's power supply grid to collect changes in the carbon-electricity factors of the enterprise at the daily, hourly, and minute levels during representative time periods. Enterprise macro data refers to the enterprise's economic and production data within the entire assessment time range, including total output, total output value, total electricity consumption, etc.

[0108] S4. Data analysis and processing:

[0109] The data analysis process is as follows Figure 6 As shown, it includes obtaining the carbon emission data of electricity in the representative period of the enterprise according to the dynamic carbon factor data of the enterprise in the representative period; obtaining the relevant data of the indicators in the representative period; extrapolating to obtain the data of each indicator in the entire analysis period, etc. Further, the calculation formula of the carbon emission data of electricity in the representative period is:

[0110]

[0111] Where i represents the time ends divided by the dynamic change of the electric carbon factor. is the electric carbon factor in the corresponding time period, is the electricity consumption of the enterprise in the corresponding time period.

[0112] Furthermore, based on the carbon emission data and production data of the enterprise in the representative period, the carbon emission and other indicator data corresponding to the unit output are obtained. Furthermore, by combining such data with the macro data in the entire analysis period, the calculation results of the overall indicators can be extrapolated. In addition, the calculation of some optional indicators can be based on the specific definition of the indicator, taking the average value of each representative period or extrapolating to the entire analysis period.

[0113] S5. Evaluation and certification result output:

[0114] The basic indicators and optional indicators obtained by analysis and calculation are further processed and compared with relevant standards or industry average levels to obtain the low-carbon assessment conclusion of the enterprise and give the low-carbon certification result. Furthermore, various indicators can be normalized through a certain weighted average method to obtain the overall low-carbon power assessment result of the enterprise. In particular, for enterprises that need low-carbon certification, certain indicators should be specified, such as electricity carbon factor, total carbon emissions, etc., which must not exceed a certain level.

[0115] Compared with the prior art, this application has the following advantages:

[0116] 1. For the enterprises to be certified, a unified low-carbon electricity certification standard is constructed for all enterprises in this industry based on the basic indicators of low-carbon electricity certification and the industry type information of the enterprises to be certified. At the same time, compared with the basic indicators, this unified certification standard is specific and targeted, which speeds up the certification efficiency of enterprise low-carbon electricity certification.

[0117] 2. The method proposed in this application makes up for the defect that the current low-carbon electricity certification pays more attention to products and lacks sufficient attention to enterprises, and improves the certification system of low-carbon electricity certification.

[0118] 3. The various indicators and calculation methods that need to be considered when conducting low-carbon electricity certification have improved the scientificity and operability of corporate low-carbon certification.

[0119] 4. The data within the enterprise's operating space and operating cycle are used to calculate indicators, thereby improving the accuracy of the enterprise's low-carbon electricity certification.

[0120] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0121] Based on the same inventive concept, the embodiment of the present application also provides an enterprise low-carbon electricity certification device for implementing the enterprise low-carbon electricity certification method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the enterprise low-carbon electricity certification device provided below can refer to the limitations of the enterprise low-carbon electricity certification method above, and will not be repeated here.

[0122] In an exemplary embodiment, Figure 7 As shown, a low-carbon electricity certification device for an enterprise is provided, including: an acquisition module 701, an indicator determination module 702, a data acquisition module 703, an indicator actual data acquisition module 704 and a certification module 705, wherein:

[0123] The acquisition module 701 is used to obtain the operation space, operation time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon power certification;

[0124] The indicator determination module 702 is used to determine multiple low-carbon power evaluation indicators corresponding to the enterprise to be certified according to the industry type information and the basic indicators of low-carbon power certification, and obtain the indicator standard data of each low-carbon power evaluation indicator;

[0125] The data acquisition module 703 is used to acquire the quantitative virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be authenticated within the operation space and operation time period;

[0126] The indicator actual data acquisition module 704 is used to input various low-carbon power evaluation indicators, quantitative virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtain the indicator actual data of various low-carbon power evaluation indicators of the enterprise to be certified through the calculation model;

[0127] The certification module 705 is used to obtain the low-carbon electricity certification result of the enterprise to be certified based on the actual data of each indicator and its corresponding standard data of the indicator.

[0128] In one embodiment, the data acquisition module 703 is further used to determine the target time period from the operating time period according to the preset time period acquisition rules in the operating space, and obtain the quantitative virtual resource sub-data, energy consumption sub-data, production sub-data and power grid power supply sub-data in the target time period. The indicator actual data acquisition module 704 is also used to input each low-carbon power evaluation indicator, quantitative virtual resource sub-data, energy consumption sub-data, production sub-data, power grid power supply sub-data and operating time period into the calculation model.

[0129] In one embodiment, the calculation model includes a sub-actual data calculation module and an actual data calculation module, and the indicator actual data acquisition module 704 is further used to obtain the power carbon emission sub-data according to the power grid power supply sub-data and its corresponding target time period by the sub-actual data calculation module, and obtain the indicator sub-actual data of each low-carbon power evaluation indicator of the enterprise to be certified based on the power carbon emission sub-data, quantified virtual resource sub-data, energy consumption sub-data and production sub-data; input each indicator sub-actual data and the operating time period into the actual data calculation module to obtain the indicator actual data of each low-carbon power evaluation indicator of the enterprise to be certified.

[0130] In an exemplary embodiment, the indicator determination module 702 is also used to obtain the elasticity coefficient between the basic indicators of low-carbon electricity certification and electricity carbon emissions based on industry type information; and use the elasticity coefficient and the basic indicators of low-carbon electricity certification to determine multiple low-carbon electricity evaluation indicators corresponding to the enterprise to be certified.

[0131] In one embodiment, the authentication module 705 is also used to determine that the enterprise to be authenticated has passed the low-carbon electricity authentication and generate a corresponding low-carbon electricity authentication result when the actual data of each indicator does not exceed the corresponding indicator standard data; if the actual data of any indicator exceeds the corresponding indicator standard data, it is determined that the enterprise to be authenticated has not passed the low-carbon electricity authentication and a corresponding low-carbon electricity authentication result is generated.

[0132] In one embodiment, the authentication module 705 is further used to obtain the indicator weight corresponding to each low-carbon electricity evaluation indicator, and to obtain carbon emission data within the operating space and operating time period; using the weights of each indicator, the actual data of each indicator and the standard data of each indicator are weighted averaged to obtain the mean of the actual data of the indicator and the mean of the standard data of the indicator; when the mean of the actual data of the indicator does not exceed the mean of the standard data of the indicator, and the actual data of the indicator of the pre-set target low-carbon electricity evaluation indicator does not exceed the corresponding standard data of the indicator, and the carbon emission data does not exceed the pre-set carbon emission threshold, it is determined that the enterprise to be certified has passed the low-carbon electricity certification, and a corresponding low-carbon electricity certification result is generated.

[0133] Each module in the above-mentioned enterprise low-carbon electricity certification device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0134] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store operating space, operating time cycle, industry type information, basic indicators of low-carbon power certification, low-carbon power evaluation indicators, indicator standard data, indicator actual data, quantified virtual resource data, energy consumption data, production data, power grid power supply data and certification result data. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for low-carbon power certification of an enterprise is implemented.

[0135] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0136] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the enterprise low-carbon electricity certification method of the above embodiment is implemented.

[0137] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the enterprise low-carbon electricity certification method of the above embodiment is implemented.

[0138] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the enterprise low-carbon electricity certification method of the above embodiment.

[0139] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0140] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0141] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0142] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for enterprise low-carbon electricity certification, characterized in that: The method comprises: Obtain the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification; Determine a plurality of low-carbon power evaluation indicators corresponding to the enterprise to be certified according to the industry type information and the basic indicators of low-carbon power certification, and obtain indicator standard data of each low-carbon power evaluation indicator; Acquiring the quantified virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be authenticated within the operation space and operation time period; Inputting each of the low-carbon power evaluation indicators, quantified virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtaining the actual indicator data of each of the low-carbon power evaluation indicators of the enterprise to be certified through the calculation model; According to the actual data of each indicator and its corresponding standard data of the indicator, the low-carbon electricity certification result of the enterprise to be certified is obtained.

2. The method according to claim 1, characterized in that The step of obtaining the quantified virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be authenticated within the operation space and operation time period includes: In the operation space, a target time period is determined from the operation time cycle according to a preset time period acquisition rule, and quantified virtual resource sub-data, energy consumption sub-data, production sub-data and power grid power supply sub-data in the target time period are acquired; The inputting of the low-carbon power evaluation index, the quantified virtual resource data, the energy consumption data, the production data and the power grid power supply data into a pre-built calculation model comprises: The low-carbon electricity evaluation index, the quantified virtual resource sub-data, the energy consumption sub-data, the production sub-data, the grid power supply sub-data and the operation time cycle are input into the calculation model.

3. The method according to claim 2, characterized in that The calculation model includes a sub-actual data calculation module and an actual data calculation module; The actual data of each low-carbon electricity evaluation index of the enterprise to be certified is obtained through the calculation model, including: The sub-actual data calculation module obtains the power carbon emission sub-data according to the power grid power supply sub-data and its corresponding target period, and obtains the indicator sub-actual data of each of the low-carbon power evaluation indicators of the enterprise to be certified based on the power carbon emission sub-data, the quantified virtual resource sub-data, the energy consumption sub-data and the production sub-data; The actual data of each indicator sub-index and the operating time period are input into the actual data calculation module to obtain the actual data of each low-carbon electricity evaluation indicator of the enterprise to be certified.

4. The method according to claim 1, characterized in that: The step of determining a plurality of low-carbon electricity assessment indicators corresponding to the enterprise to be certified based on the industry type information and the low-carbon electricity certification basic indicators includes: According to the industry type information, obtaining the elasticity coefficient between the basic indicator of low-carbon electricity certification and electricity carbon emissions; The elasticity coefficient and the low-carbon electricity certification basic index are used to determine a plurality of low-carbon electricity evaluation indexes corresponding to the enterprise to be certified.

5. The method according to claim 1, characterized in that The low-carbon electricity certification result of the enterprise to be certified is obtained according to the actual data of each indicator and its corresponding standard data of the indicator, including: In the case where the actual data of each of the indicators does not exceed the corresponding standard data of the indicator, determining that the enterprise to be certified has passed the low-carbon electricity certification, and generating a corresponding low-carbon electricity certification result; If the actual data of any one of the indicators exceeds the corresponding standard data of the indicator, it is determined that the enterprise to be certified has not passed the low-carbon electricity certification, and a corresponding low-carbon electricity certification result is generated.

6. The method according to claim 1, characterized in that The step of obtaining the low-carbon electricity certification result of the enterprise to be certified based on the actual data of each indicator and its corresponding standard indicator data also includes: Obtaining the indicator weight corresponding to each of the low-carbon electricity evaluation indicators, and obtaining carbon emission data within the operating space and operating time period; Using the weights of the indicators, weighted averages are performed on the actual data of the indicators and the standard data of the indicators to obtain the mean of the actual data of the indicators and the mean of the standard data of the indicators; When the mean value of the actual data of the indicator does not exceed the mean value of the standard data of the indicator, and the actual data of the pre-set target low-carbon electricity assessment indicator does not exceed the corresponding standard data of the indicator, and the carbon emission data does not exceed the pre-set carbon emission threshold, it is determined that the enterprise to be certified has passed the low-carbon electricity certification and a corresponding low-carbon electricity certification result is generated.

7. An enterprise low-carbon electricity certification device, characterized in that: The device comprises: The acquisition module is used to obtain the operating space, operating time cycle and industry type information of the enterprise to be certified, as well as the basic indicators of low-carbon electricity certification; An indicator determination module, used to determine a plurality of low-carbon power evaluation indicators corresponding to the enterprise to be certified according to the industry type information and the basic indicators of low-carbon power certification, and obtain indicator standard data of each of the low-carbon power evaluation indicators; A data acquisition module, used to acquire the quantified virtual resource data, energy consumption data, production data and power grid power supply data of the enterprise to be authenticated within the operation space and operation time period; An indicator actual data acquisition module is used to input each of the low-carbon power evaluation indicators, quantitative virtual resource data, energy consumption data, production data and power grid power supply data into a pre-built calculation model, and obtain the indicator actual data of each of the low-carbon power evaluation indicators of the enterprise to be certified through the calculation model; The certification module is used to obtain the low-carbon electricity certification result of the enterprise to be certified based on the actual data of each indicator and its corresponding standard indicator data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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