A system and method for evaluating enterprise carbon emissions based on energy data

Abstract

The present invention discloses an enterprise carbon emission evaluation system and method based on energy data, which relates to the field of enterprise carbon emission technology, including a carbon emission parameter acquisition module, a carbon emission parameter analysis module, a data comparison module, a display module, a time period coefficient acquisition module and a time period marking module; the carbon emission parameter analysis module is used to analyze the collected carbon emission parameters corresponding to each processing equipment in the enterprise plant, and the processing equipment is categorized; it is convenient for relevant personnel to propose different management strategies for different categories, which helps to improve the accuracy of the evaluation value and more accurately evaluate the carbon emission level of the enterprise; the carbon emissions of the enterprise in different time periods are analyzed by the time period coefficient acquisition module, which is conducive to a comprehensive and accurate evaluation of the carbon emission situation of the enterprise.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise carbon emissions, and in particular to an enterprise carbon emissions evaluation system and method based on energy data. Background Art

[0002] The enterprise carbon emission evaluation system based on energy data is a tool for evaluating the carbon emission level of an enterprise. The system uses the energy data of the enterprise, including information such as electricity consumption, fuel consumption and energy procurement, to calculate the carbon emissions of the enterprise. The system analyzes and summarizes the calculated carbon emission data and generates corresponding reports. The reports may include information such as the total carbon emissions, carbon emission trends, and carbon emission composition of the enterprise to help enterprises understand and manage their carbon emissions.

[0003] However, when evaluating corporate carbon emissions based on energy data, the comprehensive evaluation of corporate carbon emissions is generated based on the comprehensive interaction between various industrial equipment in the enterprise, and then a comprehensive evaluation of the carbon emissions of the entire enterprise is conducted. Therefore, when evaluating corporate carbon emissions, due to the emission differences between various industrial equipment in the enterprise, there are individual industrial equipment with excessively high carbon emissions, resulting in inaccurate evaluation of corporate carbon emissions. At the same time, due to the different carbon emission peak periods of various industrial equipment, the evaluation data of corporate carbon emissions will also be inaccurate. Based on this, a corporate carbon emissions evaluation system and method based on energy data is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an enterprise carbon emission evaluation system and method based on energy data, which solves the technical problems that the carbon emissions of individual industrial equipment are too high due to emission differences among the enterprise's various industrial equipment, resulting in inaccurate evaluation of the enterprise's carbon emissions. At the same time, the different carbon emission peak periods of various industrial equipment also lead to inaccurate evaluation data of the enterprise's carbon emissions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] An enterprise carbon emission evaluation system based on energy data, comprising:

[0007] The carbon emission parameter acquisition module acquires the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value;

[0008] The carbon emission parameter analysis module obtains the evaluation value corresponding to each processing equipment by analyzing the carbon emission status value corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value;

[0009] The data comparison module compares and analyzes the evaluation values ​​corresponding to each processing equipment in the enterprise's factory with the standard values, and classifies each processing equipment according to the comparison and analysis results.

[0010] As a further solution of the present invention: the specific method of obtaining the evaluation values ​​corresponding to each processing equipment is:

[0011] Obtain the carbon emission state value F ij corresponding to each processing equipment every day within the preset time j and the continuous emission duration Wi j corresponding to each carbon emission state value, and mark the sum of the products between the carbon emission state value corresponding to each processing equipment every day and its corresponding continuous emission duration as the carbon emission amount Pij corresponding to each processing equipment every day, where j refers to the number of days corresponding to the preset time, i refers to the number of corresponding processing equipment in the enterprise plant, i≥1, j≥1;

[0012] A1: Select any one of the processing equipment in the enterprise plant as the target equipment;

[0013] A2: Obtain the number a of the target equipment's carbon emissions that meet the preset condition L1 within the preset time j, i≥a≥1, compare and analyze a with the preset value Y2, and then obtain the evaluation value K1 corresponding to the target equipment based on the comparison result;

[0014] A3: Repeat the above steps A1-A2 to obtain the evaluation value Ki corresponding to each processing equipment in the enterprise factory.

[0015] As a further solution of the present invention: the specific method of obtaining the evaluation value K1 corresponding to the target device is:

[0016] When a≥Y2, the mean of P1j is taken as the evaluation value K1 corresponding to the target device; when a<Y2, the mean of the maximum and minimum values ​​in P1j is taken as the evaluation K1 corresponding to the target device, where P1p is the mean of P1j.

[0017] As a further solution of the present invention: the specific method of classifying each processing equipment is as follows:

[0018] When the evaluation value Ki is greater than the standard value BZ, the corresponding processing equipment is marked as Class A equipment. When the evaluation value Ki is less than or equal to the standard value BZ, the corresponding processing equipment is marked as Class B equipment.

[0019] As a further solution of the present invention: the standard value is obtained in the following manner:

[0020] The evaluation value Ki corresponding to each processing equipment in the enterprise factory is processed for variance to obtain the variance of the evaluation value Ki. When the variance is greater than the preset value Y3, the mean of Ki is used as the standard value BZ. When the variance is less than or equal to the preset value Y3, the values ​​in the evaluation value Ki that are greater than the preset value Y4 are obtained, and their mean is used as the standard value BZ.

[0021] As a further solution of the present invention: it also includes a time period coefficient acquisition module;

[0022] The time period coefficient acquisition module is used to analyze the carbon emission parameters corresponding to the enterprise plant in each standard time period, and then obtain the time period coefficients corresponding to each standard time period, and send them to the time period marking module. The specific method of obtaining the time period coefficients corresponding to each standard time period is as follows:

[0023] A01: Select one standard period from each standard period as the analysis period;

[0024] A02: Select one day from the preset time j as the target day; mark the sum of the products of the carbon emission status value corresponding to the enterprise plant area during the analysis period within the target day and the continuous emission duration corresponding to each carbon emission status value as the carbon emission amount corresponding to the enterprise plant area during the analysis period within the target day;

[0025] A03: Repeat the above step A02 to obtain the carbon emissions MAj corresponding to the analysis period within the preset time j of the enterprise plant every day;

[0026] Obtain the value m of carbon emissions MAj that meets the preset condition L2, compare and analyze the number m of P1 j that meets the preset condition L2 with the preset value Y6, when m ≥ Y6, take the mean value of MAj as the period coefficient RA1 corresponding to the analysis period, when m < Y6, take the mean of the maximum and minimum values ​​in MAj as the period coefficient RA1 corresponding to the analysis period, L2 = |MAj-MAp| > Y5, MAp is the mean value of MAj;

[0027] A04: Repeat the above steps A01-A03 to obtain the time period coefficient RAx corresponding to each standard time period, where x refers to the number of standard time periods, x≥1.

[0028] As a further solution of the present invention: a time period marking module compares and analyzes the time period coefficients corresponding to each standard time period with the preset value Y7, marks the supervision time period according to the analysis results, and sends it to the display module, specifically in the following manner:

[0029] When the period coefficient RAx>Y7, the corresponding standard period is marked as a regulatory period. When RAx≤Y7, no processing is performed.

[0030] A method for evaluating corporate carbon emissions based on energy data includes the following steps:

[0031] Step 1: Obtain the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value;

[0032] Step 2: Analyze the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value to obtain the evaluation value corresponding to each processing equipment;

[0033] Step 3: Compare and analyze the evaluation values ​​corresponding to each processing equipment in the enterprise's factory with the standard values, and classify each processing equipment according to the comparison and analysis results;

[0034] Step 4: Analyze the carbon emission parameters of the enterprise plant in each standard period, and then obtain the time period coefficient corresponding to each standard period;

[0035] Step 5: Compare and analyze the time period coefficients corresponding to each standard time period, and mark the regulatory time period according to the analysis results.

[0036] Beneficial effects of the present invention:

[0037] (1) The present invention analyzes the collected carbon emission parameters corresponding to each processing equipment in the enterprise plant through the carbon emission parameter analysis module, and classifies the processing equipment; it is convenient for relevant personnel to propose different management strategies for different categories, which helps to improve the accuracy of the evaluation value and more accurately evaluate the carbon emission level of the enterprise; the carbon emissions of the enterprise in different time periods are analyzed through the time period coefficient acquisition module, which is conducive to comprehensively and accurately evaluating the carbon emissions of the enterprise and providing the enterprise with targeted carbon emission control suggestions;

[0038] (2) The present invention, by marking the regulatory time periods, allows relevant personnel to more intuitively understand which time periods have abnormal carbon emissions, and thus take corresponding measures to regulate them. This not only enables them to quickly find abnormal areas, but also improves the accuracy of corporate carbon emission evaluation. It can comprehensively and accurately evaluate the carbon emissions of companies, provide companies with targeted carbon emission control recommendations, and help companies achieve carbon emission reduction and carbon neutrality goals. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 It is a schematic diagram of the system framework structure of the present invention;

[0041] Figure 2It is a schematic diagram of the framework structure of the method of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1

[0044] See also Figure 1 As shown, the present invention is an enterprise carbon emission evaluation system and method based on energy data, including a carbon emission parameter acquisition module, a carbon emission parameter analysis module, a data comparison module, a display module, a time period coefficient acquisition module and a time period marking module;

[0045] The carbon emission parameter acquisition module is used to acquire the carbon emission parameters corresponding to each processing equipment in the enterprise plant. The carbon emission parameters include the carbon emission status values ​​corresponding to each processing equipment and the continuous emission duration corresponding to each carbon emission status value. At the same time, the carbon emission parameters are sent to the carbon emission parameter analysis module for analysis;

[0046] The carbon emission parameter analysis module is used to analyze the carbon emission parameters corresponding to each processing equipment in the enterprise plant, and then obtain the evaluation value corresponding to each processing equipment. At the same time, the evaluation value corresponding to each processing equipment is sent to the evaluation module. The specific method of obtaining the evaluation value corresponding to each processing equipment is:

[0047] Obtain the carbon emission parameters corresponding to each processing equipment in the enterprise plant within the preset time j, and mark the carbon emission status value corresponding to each processing equipment every day within the preset time j and the continuous emission duration corresponding to each carbon emission status value as F ij and Wi j respectively;

[0048] The sum of the products of the carbon emission status value corresponding to each processing equipment every day and its corresponding continuous emission duration is marked as the carbon emission amount corresponding to each processing equipment every day, Pij;

[0049] It should be noted that j refers to the number of days corresponding to the predicted time, with the day of data acquisition as the standard, and the period of 60 days forward, the data of the day of data acquisition is not included, j=60, i refers to the number of corresponding processing equipment in the enterprise plant, and i is used as the label corresponding to each processing equipment, and each processing equipment is input by external personnel, i≥1;

[0050] A1: Select any one of the processing equipment in the enterprise plant as the target equipment;

[0051] A2: Obtain the carbon emissions P1 j corresponding to each day of the target device within the preset time j, obtain the number and value of P1 j that meet the preset condition L1: |P1 j-P1 p|>Y1, and mark it as P1 a, where i≥a≥1;

[0052] Compare and analyze the number of P1j that meets the preset conditions with the preset value Y2, and then obtain the evaluation value corresponding to the target device based on the comparison result. The specific comparison and analysis method is: when a≥Y2, the mean value of P1j is used as the evaluation value K1 corresponding to the target device; when a<Y2, the mean value of the maximum and minimum values ​​in P1j is used as the evaluation K1 corresponding to the target device, that is, (P1min+P1max) / 2=K1, where P1p is the mean value of P1j, P1p=(P11+P12+……+P1b) / b, where i≥b≥1, and the specific values ​​of the preset values ​​Y1 and Y2 are formulated by relevant personnel according to actual needs;

[0053] A3: Repeat the above steps A1-A2 to obtain the evaluation value Ki corresponding to each processing equipment in the enterprise plant;

[0054] Here, the higher the value of the evaluation value Ki corresponding to the processing equipment, the higher the carbon emissions of the corresponding processing equipment, and vice versa;

[0055] The data comparison module is used to compare and analyze the evaluation value Ki and the standard value BZ corresponding to each processing equipment in the enterprise plant, and classify each processing equipment according to the comparison and analysis results. The specific method is as follows:

[0056] When the evaluation value Ki is greater than the standard value BZ, the corresponding processing equipment is marked as Class A equipment; when the evaluation value Ki is less than or equal to the standard value BZ, the corresponding processing equipment is marked as Class B equipment and output to the display terminal at the same time;

[0057] Class A equipment means that the carbon emission values ​​of the corresponding equipment in the enterprise plant are relatively high. When evaluating the carbon emissions of the enterprise, it has a greater impact and is likely to lead to inaccurate overall evaluation data of the enterprise's carbon emissions. Therefore, relevant measures need to be taken in a timely manner to control and regulate its carbon emissions;

[0058] Class B equipment means that the carbon emission values ​​of the corresponding equipment in the enterprise plant are relatively stable. When evaluating the carbon emissions of the enterprise, the impact is relatively stable and is not likely to cause inaccurate overall evaluation data of the enterprise's carbon emissions. Therefore, there is no need to adjust and control the overall emissions of the treatment area;

[0059] Through the standard value acquisition unit, the evaluation values ​​corresponding to each processing equipment in the enterprise plant are analyzed to obtain the standard value. The specific analysis method is as follows:

[0060] The evaluation values ​​Ki corresponding to each processing equipment in the enterprise plant are processed by variance to obtain the variance CF of the evaluation value Ki. When the variance CF is greater than the preset value Y3, the mean value of Ki is used as the standard value BZ. When the variance CF is less than or equal to the preset value Y3, the values ​​greater than the preset value Y4 in the evaluation value Ki are obtained, and their mean value is used as the standard value BZ. The specific values ​​of Y3 and Y4 are formulated by relevant personnel according to actual needs.

[0061] The formula is: Calculate the variance CF of the evaluation value Ki, where Kp is the mean of Ki, j≥v≥1;

[0062] The display module is used to display the category labels of various processing equipment, which is conducive to the relevant personnel to carry out corresponding control and adjustment of the processing equipment with high carbon emission values ​​in the enterprise plant area and which has a greater impact on the enterprise's carbon emission evaluation according to the different categories of processing equipment, so as to further improve the accuracy of the overall evaluation data of the enterprise's carbon emissions;

[0063] The carbon emission parameter analysis module is used to analyze the collected carbon emission parameters corresponding to each processing equipment in the enterprise's factory area, and the evaluation value of each processing equipment is calculated; the evaluation value is compared with the standard value through the data comparison module, and the processing equipment is categorized; the display module shows the category label of each processing equipment (Class A equipment and Class B equipment), which is convenient for relevant personnel to propose different management strategies for different categories, which helps to improve the accuracy of the evaluation value and more accurately assess the company's carbon emission level; the time period coefficient acquisition module is used to analyze the company's carbon emissions in different time periods, which is conducive to a comprehensive and accurate evaluation of the company's carbon emissions and providing the company with targeted carbon emission control suggestions.

[0064] Embodiment 2

[0065] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from the first embodiment only in that the present embodiment further includes a time period marking module;

[0066] The time period coefficient acquisition module is used to analyze the carbon emission parameters corresponding to the enterprise plant in each standard time period, and then obtain the time period coefficients corresponding to each standard time period, and send them to the time period marking module. The specific method of obtaining the time period coefficients corresponding to each standard time period is as follows:

[0067] Taking 24 hours a day as the standard, divide the day into 24 standard time periods with one hour as the standard time interval;

[0068] A01: Select one standard period from each standard period as the analysis period;

[0069] A02: Select one day from the preset time j as the target day, and mark the carbon emission status value corresponding to the enterprise plant during the analysis period within the target day and the continuous emission duration corresponding to each carbon emission status value as U1 k and R1 k respectively; mark the sum of the products of each carbon emission status value U1 k and its corresponding continuous emission duration R1 k as the carbon emission amount MA1 corresponding to the enterprise plant during the analysis period within the target day, where k is the number of carbon emission status values ​​U1 k, k ≥ 1;

[0070] A03: Repeat the above step A02 to obtain the carbon emissions MAj corresponding to the analysis period within the preset time j of the enterprise plant every day;

[0071] Obtain the number and value of carbon emissions MAj that meet the preset condition L2: |MAj-MAp|>Y5, and mark it as MAm, where x≥m≥1;

[0072] Compare and analyze the number m that meets the preset condition L2 in P1j with the preset value Y6, and then obtain the period coefficient RA1 corresponding to the enterprise plant area in the analysis period according to the comparison result. The specific comparison and analysis method is: when m≥Y6, the mean value of MAj is used as the period coefficient RA1 corresponding to the analysis period; when m<Y6, the mean value of the maximum and minimum values ​​in MAj is used as the period coefficient RA1 corresponding to the analysis period, that is, (MAmin+MAmax) / 2=RA1, where MAp is the mean value of MAj, and the specific values ​​of the preset values ​​Y5 and Y6 are all formulated by relevant personnel according to actual needs;

[0073] A04: Repeat the above steps A01-A03 to obtain the time period coefficient RAx corresponding to each standard time period, where x refers to the number of standard time periods, x≥1;

[0074] The time period marking module compares and analyzes the time period coefficients corresponding to each standard time period with the preset value Y7, marks the supervision time period according to the analysis results, and sends it to the display module. The specific method is as follows:

[0075] When the period coefficient RAx>Y7, the corresponding standard period is marked as the supervision period, and when RAx≤Y7, no processing is performed;

[0076] By marking the regulatory time periods, which refer to those periods with abnormal carbon emissions, the carbon emissions in these periods need to be taken seriously and controlled. By marking the regulatory time periods and displaying them in the display module, relevant personnel can more intuitively understand which periods have abnormal carbon emissions, and thus take corresponding measures to regulate them. This not only allows them to quickly find abnormal partitions, but also improves the overall evaluation effect and the accuracy of the company's carbon emissions evaluation. The carbon emissions of the company in different time periods are analyzed through the time period coefficient acquisition module to obtain the time period coefficient for each time period; the time period marking module compares the time period coefficient with the preset value, marks the regulatory time period, and identifies the high-emission time period, so that the company can take special emission reduction measures in these time periods to achieve more refined management. Through this series of operations, the system can comprehensively and accurately evaluate the company's carbon emissions, provide companies with targeted carbon emission control suggestions, and help companies achieve carbon emission reduction and carbon neutrality goals.

[0077] Embodiment 3

[0078] See also Figure 2 As shown, a method for evaluating corporate carbon emissions based on energy data includes the following steps:

[0079] Step 1: Obtain the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value;

[0080] Step 2: Analyze the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value to obtain the evaluation value corresponding to each processing equipment;

[0081] Step 3: Compare and analyze the evaluation values ​​corresponding to each processing equipment in the enterprise's factory with the standard values, and classify each processing equipment according to the comparison and analysis results;

[0082] Step 4: Analyze the carbon emission parameters of the enterprise plant in each standard period, and then obtain the time period coefficient corresponding to each standard period;

[0083] Step 5: Compare and analyze the time period coefficients corresponding to each standard time period, and mark the regulatory time period according to the analysis results.

[0084] Embodiment 4

[0085] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second and third embodiments.

[0086] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0087] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An enterprise carbon emission evaluation system based on energy data, characterized in that: include: The carbon emission parameter acquisition module acquires the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value; The carbon emission parameter analysis module obtains the evaluation value corresponding to each processing equipment by analyzing the carbon emission status value corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value; The data comparison module compares and analyzes the evaluation values ​​of each processing equipment in the enterprise plant with the standard values, and classifies each processing equipment according to the comparison and analysis results; The specific method for obtaining the evaluation values ​​corresponding to each processing equipment is as follows: Obtain the carbon emission status value Fij corresponding to each processing equipment every day within the preset time j and the continuous emission duration Wij corresponding to each carbon emission status value, and mark the sum of the products between the carbon emission status value corresponding to each processing equipment every day and its corresponding continuous emission duration as the carbon emission amount Pij corresponding to each processing equipment every day, where j refers to the number of days corresponding to the preset time, and i refers to the number of corresponding processing equipment in the enterprise plant, i≥1, j≥1; A1: Select any one of the processing equipment in the enterprise plant as the target equipment; A2: Obtain the number a of the target equipment's carbon emissions that meet the preset condition L1 within the preset time j, i≥a≥1, compare and analyze a with the preset value Y2, and then obtain the evaluation value K1 corresponding to the target equipment based on the comparison result; A3: Repeat the above steps A1-A2 to obtain the evaluation value Ki corresponding to each processing equipment in the enterprise plant; The specific method of obtaining the evaluation value K1 corresponding to the target device is: When a≥Y2, the mean value of P1 j is taken as the evaluation value K1 corresponding to the target device. When a<Y2, the mean value of the maximum and minimum values ​​in P1 j is taken as the evaluation value K1 corresponding to the target device, where P1 p is the mean value of P1 j. The specific method for classifying each processing equipment is as follows: When the evaluation value Ki is greater than the standard value BZ, the corresponding processing equipment is marked as Class A equipment; when the evaluation value Ki is less than or equal to the standard value BZ, the corresponding processing equipment is marked as Class B equipment; The standard value is obtained as follows: The evaluation values ​​Ki corresponding to each processing equipment in the enterprise plant are processed with variance to obtain the variance of the evaluation value Ki. When the variance is greater than the preset value Y3, the mean value of Ki is used as the standard value BZ. When the variance is less than or equal to the preset value Y3, the values ​​greater than the preset value Y4 in the evaluation value Ki are obtained, and their mean value is used as the standard value BZ. It also includes a time period coefficient acquisition module; The time period coefficient acquisition module is used to analyze the carbon emission parameters corresponding to the enterprise plant in each standard time period, and then obtain the time period coefficients corresponding to each standard time period, and send them to the time period marking module. The specific method of obtaining the time period coefficients corresponding to each standard time period is as follows: A01: Select one standard period from each standard period as the analysis period; A02: Select one day from the preset time j as the target day; The sum of the products of the carbon emission status value corresponding to the enterprise plant area during the analysis period on the target day and the continuous emission duration corresponding to each carbon emission status value is marked as the carbon emission amount corresponding to the enterprise plant area during the analysis period on the target day; A03: Repeat the above step A02 to obtain the carbon emissions MAj corresponding to the analysis period within the preset time j of the enterprise plant every day; Obtain the value m of the carbon emission MAj that meets the preset condition L2, and compare and analyze the number m of P1 j that meets the preset condition L2 with the preset value Y6. When m≥Y6, the mean value of MAj is used as the period coefficient RA1 corresponding to the analysis period. When m<Y6, the mean value of the maximum and minimum values ​​in MAj is used as the period coefficient RA1 corresponding to the analysis period. L2=|MAj-MAp|>Y5, MAp is the mean value of MAj, and Y5 is the preset value. A04: Repeat the above steps A01-A03 to obtain the time period coefficient RAx corresponding to each standard time period, where x refers to the number of standard time periods, x≥1; The preset condition L1 is that the absolute value of the difference between the carbon emission P1 j and its mean is greater than the preset value Y1; The time period marking module compares and analyzes the time period coefficients corresponding to each standard time period with the preset value Y7, marks the supervision time period according to the analysis results, and sends it to the display module. The specific method is as follows: When the period coefficient RAx>Y7, the corresponding standard period is marked as a regulatory period. When RAx≤Y7, no processing is performed.

2. According to claim 1, a carbon emission evaluation system for enterprises based on energy data is characterized in that: The display module is used to display the category mark and supervision period of each processing equipment.

3. A method for evaluating corporate carbon emissions based on energy data, the method being performed according to the system for evaluating corporate carbon emissions based on energy data according to claim 1, characterized in that: The method comprises the following steps: Step 1: Obtain the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value; Step 2: Analyze the carbon emission status values ​​corresponding to each processing equipment in the enterprise plant and the continuous emission duration corresponding to each carbon emission status value to obtain the evaluation value corresponding to each processing equipment; Step 3: Compare and analyze the evaluation values ​​corresponding to each processing equipment in the enterprise's factory with the standard values, and classify each processing equipment according to the comparison and analysis results; Step 4: Analyze the carbon emission parameters of the enterprise plant in each standard period, and then obtain the time period coefficient corresponding to each standard period; Step 5: Compare and analyze the time period coefficients corresponding to each standard time period, and mark the regulatory time period according to the analysis results.

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