A systematic enterprise carbon management system and method

Abstract

The present invention provides a systematic enterprise carbon management system and method, the system includes: a carbon emission calculation subsystem, an analysis result acquisition subsystem and a carbon emission management subsystem; the method includes: determining the carbon emission calculation rules corresponding to each energy collection point according to energy consumption and carbon emission factors, and then obtaining the carbon emission of each energy collection point; configuring and combining multiple energy collection points according to physical area division, process steps or product categories, obtaining the overall carbon emissions of the corresponding physical area, process steps or products, and obtaining a first analysis result; analyzing the carbon emission data of multiple dimensions such as different time, different personnel and different process steps, and obtaining a second analysis result; the carbon emission management subsystem provides carbon saving guidance and control measures according to the first analysis result and the second analysis result. The present invention realizes comprehensive monitoring, analysis and management of energy consumption and carbon emissions, and achieves the goal of carbon saving and emission reduction.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a systematic enterprise carbon management system and method. Background Art

[0002] Enterprises are in urgent need of a carbon management system to achieve accurate carbon management. Currently, many enterprises are still conducting energy management, collecting energy consumption data through manual meter reading or remote measurement equipment to monitor and manage energy usage. However, energy management cannot be directly converted into carbon management because the carbon emission factors of different energy sources are different. First, the carbon emission factors of different energy sources are different. For example, the carbon emission factors of coal and natural gas will be different because coal has a higher carbon content. Therefore, simply monitoring energy consumption data through energy management cannot accurately calculate the carbon emissions of an enterprise. Secondly, even for the same energy such as electricity, different primary energy sources converted or different power grids will lead to different carbon emissions. For example, the carbon emissions of electricity generated by coal-fired power generation and clean energy power generation will be different. Similarly, the energy structure used by power grids in different regions is also different, so the geographical location of the enterprise will also affect the calculation of carbon emissions.

[0003] Therefore, in order to achieve accurate carbon management, enterprises need a carbon management system that can accurately calculate the carbon emissions of enterprises based on the carbon emission factors and energy consumption data of different energy sources. In this way, enterprises can formulate emission reduction measures based on their own carbon emissions and reasonably arrange energy use.

[0004] Prior art 1, application number: 202010492620.7 discloses a system and method for presenting enterprise energy management data, which solves the problems of comprehensiveness and visualization of data presentation. The key points of its technical solution are that it includes a user login module and a platform presentation interface. The platform presentation interface is entered through the user login module. The platform presentation interface includes a menu selection column area, a data graphic information display area, and a user information area; the menu selection column area includes: a platform homepage module, a main system diagram module, an alarm analysis module, a power consumption monitoring module, a power consumption analysis module, a comprehensive energy module, a report management module, and a comprehensive report module; the data graphic information display area presents data separately according to the selection of the menu selection column area; the user information area includes a message alarm unit, a message announcement unit, and a user setting unit. Although the visual multi-screen projection method is adopted, the effect of facilitating the display of data is achieved, the calculation of carbon emission factors and energy consumption data of different energy sources cannot be realized, and the obtained carbon emissions of the enterprise are less accurate.

[0005] Prior art 2, application number: 202210482825.6 discloses an enterprise energy management system, including a data acquisition subsystem, a data processing subsystem, an energy management subsystem and a basic management subsystem; the data acquisition subsystem is used to collect the enterprise's operating data, the operating data includes energy data, system parameters and production data, and transmit the operation to the data processing subsystem; the data processing subsystem is used to count the operating data and display the statistical results; the energy management subsystem is used to formulate an energy optimization plan based on the operating data, and perform energy optimization operations based on the energy optimization plan; the basic management subsystem is used to count and schedule the basic information in the data acquisition subsystem, the data processing subsystem and the energy management subsystem. Although it has the effect of improving the efficiency of energy management and meeting the refined management needs of the enterprise's energy as much as possible; however, it lacks the monitoring and analysis of the carbon emission factors of different energy sources, resulting in low accuracy of the carbon emission calculation results in the energy management results.

[0006] Prior art three, application number: 202110413058.9 discloses an energy management system and its application, including a login module, a data query module, a monitoring module, a data management module, an energy consumption data analysis module, a statistical report management module, a statistical recording module, an authority management module, and a configuration management module; although energy planning, energy monitoring, energy statistics, energy consumption analysis, key energy consumption equipment management, energy metering equipment management and other means can be carried out, so that enterprise managers can have an accurate grasp of the enterprise's energy cost proportion and development trends, and decompose the enterprise's energy consumption plan tasks into each production department workshop, so that the energy-saving work responsibilities are clear and the healthy and stable development of the enterprise is promoted; however, no distinction is made between different energy sources, resulting in inaccurate energy statistics results.

[0007] Currently, the existing technologies 1, 2 and 3 cannot calculate the carbon emissions of an enterprise based on the carbon emission factors and energy consumption data of different energy sources. Therefore, the present invention provides a systematic enterprise carbon management system, which configures corresponding carbon emission calculation rules for each energy collection point to obtain the carbon emissions of the collection point; by analyzing the carbon emission data maintained at different times, different personnel and different processes, the potential for carbon saving is found, and the user is guided to perform carbon saving work. Summary of the invention

[0008] In order to solve the above technical problems, the present invention provides a systematic enterprise carbon management system, comprising:

[0009] The carbon emission calculation subsystem is responsible for determining the carbon emission factor according to the energy consumption of the energy collection point and the energy type of the energy collection point, and determining the carbon emission calculation rule corresponding to each energy collection point according to the energy consumption and carbon emission factor, and then obtaining the carbon emission of each energy collection point;

[0010] The analysis result acquisition subsystem is responsible for combining multiple energy collection points according to the physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; it analyzes the multi-dimensional carbon emissions data of different times, different personnel and different process steps to obtain the second analysis result;

[0011] The carbon emission management subsystem is responsible for providing carbon saving guidance and control measures based on the first analysis result and the second analysis result; and storing the first analysis result, the second analysis result, the carbon saving guidance and control measures in the energy management monitoring terminal.

[0012] Optional, carbon emissions calculation subsystem, including:

[0013] The carbon emission factor determination module is responsible for determining the energy type used by each energy collection point, and determining the consumption of each energy by measuring the energy supply and energy consumption of the energy collection point; determining the calculation expression of the carbon emission factor according to the energy type, and obtaining the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor;

[0014] The carbon emission calculation principle module is responsible for configuring the corresponding carbon emission calculation rules according to the energy consumption and carbon emission factor to obtain the carbon emissions of the corresponding energy collection point; the carbon emission calculation rule is to multiply the energy consumption by the carbon emission factor;

[0015] The carbon emission result calculation module is responsible for summarizing the carbon emissions of each energy collection point based on the carbon emission calculation results of each energy collection point, classifying them according to physical areas, process steps or product types, and obtaining the carbon emissions corresponding to the classification.

[0016] Optional, carbon emission calculation principle module, including:

[0017] The configuration request submodule is responsible for obtaining the configuration request for finding the carbon emission factor, determining the energy consumption of the energy collection point according to the energy type, and finding the corresponding carbon emission factor according to the energy type;

[0018] The rule formation submodule is responsible for establishing the mapping relationship between energy type and carbon emission factor according to the identification of energy collection points, and forming the carbon emission calculation rules according to the identification and mapping relationship;

[0019] The data storage submodule is responsible for multiplying the energy consumption by the carbon emission factor to obtain the carbon emissions of the corresponding energy collection point; and storing the obtained carbon emission data in a database or spreadsheet.

[0020] Optional, rule formation submodule, including:

[0021] The node naming unit is responsible for constructing an association model between the energy collection point identifier and the energy type and carbon emission factor, where the nodes of the association model are named according to the energy collection point identifier;

[0022] The relationship association unit is responsible for receiving the operation instructions and configuration parameters for establishing the mapping relationship when it is necessary to establish the mapping relationship between the identifier and the energy type and the carbon emission factor, and establishing the table connection relationship between the identifier and the energy type and the carbon emission factor through the association model; receiving the mapping relationship operation data, the operation data including the name and attribute of the identifier corresponding to the operation instruction, and establishing the corresponding table connection relationship through the nodes of the association model according to the preset mapping file and table connection relationship;

[0023] The connection relationship unit is responsible for selecting the root node from the nodes corresponding to the current operation requirements and obtaining the path corresponding to the root node to the current mapping relationship; merging the paths in pairs to obtain the minimum connected subgraph, and establishing a table connection relationship between the energy collection point identification and the energy type and carbon emission factor through the connection relationship indicated by the minimum connected subgraph, and forming a carbon emission calculation rule based on the table connection relationship.

[0024] Optionally, the connection relationship unit includes:

[0025] The engine startup subunit is responsible for converting the basic attributes of the table connection relationship into the input variables of the carbon emission calculation rule according to the table connection relationship corresponding to the energy type and carbon emission factor according to the identification of the energy collection point, and starting the carbon emission calculation rule engine using the input variables;

[0026] The rule combination subunit is responsible for starting the carbon emission calculation rule engine to execute the carbon emission calculation statement, combining the table connection relationship with the carbon emission calculation rule, and saving the carbon emission variable of the combined carbon emission calculation rule to the computer memory;

[0027] The rule making subunit is responsible for generating a rule engine drawing control object after the script of the carbon emission calculation rule is loaded and compiled by the engine, thereby completing the making of the carbon emission calculation rule for the identification of the energy collection point.

[0028] Optional carbon emission calculation module, including:

[0029] The classification standard determination submodule is responsible for determining the classification standard according to the physical area, process step or product type, dividing the physical area into different areas, the process step into different steps and the product type into different categories, and obtaining all combinations of classification feature values ​​according to the classification standard;

[0030] The classification characteristic value calculation submodule is responsible for collecting energy consumption, energy type and carbon emission factor related to the classification standard, multiplying the energy consumption by the carbon emission factor of the corresponding energy type to obtain the carbon emission to be classified. The carbon emission is the classification characteristic value;

[0031] The category determination submodule is responsible for determining the category of the carbon emissions to be classified based on all combinations of classification feature values ​​and combinations of classification feature values ​​of the carbon emissions to be classified, and generating a corresponding report using the calculated carbon emissions data through data visualization tools or report generation tools.

[0032] Optional, analysis result acquisition subsystem, including:

[0033] The factor division module is responsible for combining multiple energy collection points according to the physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; obtain the processes involving different personnel in different time periods, or different processes involving different personnel, determine that the carbon emission vectors with the same time period, the same personnel or the same process steps are divided into one category, and cluster the carbon emission vectors of each category through the K-means clustering method to obtain subcategories of each category;

[0034] The distance calculation module is responsible for determining the amount of carbon emission vector data for each subclass and the carbon emission vector at the center of each subclass. According to the number of carbon emission vectors in each subclass, the distance between each carbon emission vector and the carbon emission vector at the center of the subclass to which it belongs is calculated. The mean of all distances, the standard deviation of distances and the mean of distances for each class are calculated. The distance of each class determines the confidence interval of each class, and the corresponding relationship between the confidence interval of each class and the corresponding carbon emission of each class is established.

[0035] The standard determination module is responsible for determining the confidence intervals corresponding to different times, different personnel and different process steps, adjusting the confidence intervals according to the carbon emission data, determining the multi-dimensional standards with the adjusted confidence intervals, analyzing the multi-dimensional carbon emission data of different times, different personnel and different process steps, and obtaining the second analysis result.

[0036] Optional, carbon emission management subsystem, including:

[0037] The evaluation and analysis module is responsible for conducting a comprehensive evaluation and analysis of carbon emissions based on the first and second analysis results. The analysis results include the carbon emissions of different processes or activities, energy usage, and the causes of carbon emissions;

[0038] The guidance and measures module is responsible for formulating specific carbon-saving guidance based on the analysis results, including specific methods for reducing carbon emissions of specific processes or products, suggestions for optimizing energy use, and recommendations for using more environmentally friendly processes or materials; based on the analysis results, formulating control measures, including implementing an energy management system, establishing carbon emission targets, and optimizing monitoring and control methods for energy use;

[0039] The terminal function control module is responsible for storing data and information such as analysis results, carbon saving guidance and control measures in the energy management monitoring terminal; the energy management monitoring terminal has storage, query, analysis and reporting functions to support the implementation and monitoring of carbon emission management.

[0040] The present invention provides a systematic enterprise carbon management method, comprising the following steps:

[0041] According to the energy consumption of the energy collection point and the energy type of the energy collection point, the carbon emission factor is determined. According to the energy consumption and the carbon emission factor, the carbon emission calculation rule corresponding to each energy collection point is determined, and then the carbon emission of each energy collection point is obtained;

[0042] According to the physical area division, process steps or product categories, multiple energy collection points are combined to obtain the overall carbon emissions of the corresponding physical area, process steps or products to obtain the first analysis result; the multi-dimensional carbon emissions data of different times, different personnel and different process steps are analyzed to obtain the second analysis result;

[0043] According to the first analysis result and the second analysis result, carbon saving guidance and control measures are provided; the first analysis result, the second analysis result, the carbon saving guidance and control measures are stored in the energy management monitoring terminal.

[0044] Optionally, the process of obtaining the carbon emissions of each energy collection point includes the following steps:

[0045] Determine the type of energy used at each energy collection point, and determine the consumption of each energy by measuring the energy supply and energy consumption at the energy collection point; determine the calculation expression of the carbon emission factor according to the energy type, and obtain the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor;

[0046] According to the energy consumption and carbon emission factor, the corresponding carbon emission calculation rules are configured to obtain the carbon emission of the corresponding energy collection point; the carbon emission calculation rule is to multiply the energy consumption by the carbon emission factor;

[0047] Based on the carbon emission calculation results of each energy collection point, the carbon emissions of each energy collection point are summarized and classified according to physical area, process step or product type to obtain the carbon emissions corresponding to the classification.

[0048] The carbon emission calculation subsystem of the present invention determines the carbon emission factor according to the energy consumption of the energy collection point and the energy type of the energy collection point, determines the carbon emission calculation rule corresponding to each energy collection point according to the energy consumption and the carbon emission factor, and then obtains the carbon emission of each energy collection point; the analysis result acquisition subsystem configures and combines multiple energy collection points according to the physical area division, process steps or product categories, obtains the overall carbon emission of the corresponding physical area, process steps or products, and obtains the first analysis result; analyzes the multi-dimensional carbon emission data of different times, different personnel and different process steps to obtain the second analysis result; the carbon emission management subsystem provides carbon saving guidance and control measures according to the first analysis result and the second analysis result; the first analysis result, the second analysis result, the carbon saving guidance and control measures are stored in the energy management monitoring terminal; through the cooperation of the carbon emission calculation subsystem, the analysis result acquisition subsystem and the carbon emission management subsystem, the comprehensive monitoring, analysis and management of energy consumption and carbon emissions are realized, so as to achieve the goal of carbon saving and emission reduction. The specific meaning is as follows: the establishment and operation of the carbon emission calculation subsystem can accurately calculate the carbon emissions of each energy collection point. This helps users understand the carbon emissions of different energy consumption points and provides specific data support for energy conservation and emission reduction. The use of the analysis result acquisition subsystem can configure and combine energy collection points of different physical areas, process steps or product categories to obtain the overall carbon emissions. This helps users understand the carbon emissions of different areas, steps or products and provides a basis for formulating carbon emission reduction strategies. The analysis result acquisition subsystem analyzes multi-dimensional carbon emission data and can find the trend and reasons for carbon emission changes at different times, different personnel and different process steps. This helps users to deeply understand the influencing factors of carbon emissions and provide guidance for formulating targeted energy conservation and emission reduction measures. The carbon emission management subsystem provides carbon saving guidance and control measures based on the first analysis results and the second analysis results. This helps users to formulate specific emission reduction measures, optimize energy use, improve process flow, promote low-carbon technology, thereby reducing carbon emissions and achieving energy conservation and emission reduction goals. The analysis results, carbon saving guidance and control measures are stored in the energy management monitoring terminal, which can be convenient for users to check and refer to at any time. This will help establish a long-term carbon emission management mechanism, continuously promote energy conservation and emission reduction, and achieve sustainable development of carbon emission reduction.

[0049] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0052] Figure 1 This is a block diagram of a systematic enterprise carbon management system in Example 1 of the present invention;

[0053] Figure 2 This is a schematic diagram of the systematized enterprise carbon management system in Example 1 of the present invention;

[0054] Figure 3 This is a block diagram of a carbon emission calculation subsystem in Embodiment 2 of the present invention;

[0055] Figure 4 This is a block diagram of the carbon emission calculation principle module in Example 3 of the present invention;

[0056] Figure 5 This is a block diagram of a rule forming submodule in Embodiment 4 of the present invention;

[0057] Figure 6 This is a block diagram of a connection relationship unit in Embodiment 5 of the present invention;

[0058] Figure 7 This is a block diagram of a carbon emission result calculation module in Example 6 of the present invention;

[0059] Figure 8 This is a block diagram of the analysis result acquisition subsystem in Example 7 of the present invention;

[0060] Fig. 9 This is a block diagram of the carbon emission management subsystem in Example 8 of the present invention;

[0061] Fig.10 This is a flow chart of the systematic enterprise carbon management method in Example 9 of the present invention;

[0062] Fig.11 A process diagram for obtaining the carbon emissions of each energy collection point in Example 10 of the present invention;

[0063] Fig.12A diagram of the process of obtaining the first analysis result and the second analysis result in Example 11 of the present invention;

[0064] Fig.13 This is a processing diagram of the first analysis result, the second analysis result, the carbon saving guidance and the control measures in Example 12 of the present invention. DETAILED DESCRIPTION

[0065] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0066] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. The singular forms of "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0067] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and do not have to be used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0068] Example 1: Figure 1 As shown, the embodiment of the present invention provides a systematic enterprise carbon management system, including:

[0069] The carbon emission calculation subsystem is responsible for determining the carbon emission factor according to the energy consumption of the energy collection point and the energy type of the energy collection point, and determining the carbon emission calculation rule corresponding to each energy collection point according to the energy consumption and carbon emission factor, and then obtaining the carbon emission of each energy collection point;

[0070] The analysis result acquisition subsystem is responsible for combining multiple energy collection points according to the physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; it analyzes the carbon emissions data of different dimensions such as different time, different personnel and different process steps to obtain the second analysis result;

[0071] The carbon emission management subsystem is responsible for providing carbon saving guidance and control measures based on the first analysis result and the second analysis result; and storing the first analysis result, the second analysis result, the carbon saving guidance and control measures in the energy management monitoring terminal;

[0072] The working principle and beneficial effects of the above technical solution are as follows: the carbon emission calculation subsystem of this embodiment determines the carbon emission factor according to the energy consumption of the energy collection point and the energy type of the energy collection point, determines the carbon emission calculation rule corresponding to each energy collection point according to the energy consumption and the carbon emission factor, and then obtains the carbon emissions of each energy collection point; the analysis result acquisition subsystem configures and combines multiple energy collection points according to the physical area division, process steps or product categories, obtains the overall carbon emissions of the corresponding physical area, process steps or products, and obtains the first analysis result; analyzes the carbon emission data of multiple dimensions such as different time, different personnel and different process steps to obtain the second analysis result; the carbon emission management subsystem provides carbon saving guidance and control measures according to the first analysis result and the second analysis result; stores the first analysis result, the second analysis result, the carbon saving guidance and control measures in the energy management monitoring terminal (for specific principles, refer to the attached Figure 2 ); The above scheme realizes comprehensive monitoring, analysis and management of energy consumption and carbon emissions through the cooperation of the carbon emission calculation subsystem, the analysis result acquisition subsystem and the carbon emission management subsystem, so as to achieve the goal of carbon saving and emission reduction. The specific meaning is as follows: The establishment and operation of the carbon emission calculation subsystem can accurately calculate the carbon emissions of each energy collection point. This helps the user understand the carbon emissions of different energy consumption points and provide specific data support for energy conservation and emission reduction. The use of the analysis result acquisition subsystem can configure and combine energy collection points of different physical areas, process steps or product categories to obtain the overall carbon emissions. This helps the user understand the carbon emissions of different areas, steps or products and provide a basis for formulating carbon emission reduction strategies. The analysis result acquisition subsystem analyzes the multi-dimensional carbon emission data and can find the trend and reasons of carbon emission changes in different times, different personnel and different process steps. This helps the user to have a deep understanding of the influencing factors of carbon emissions and provide guidance for formulating targeted energy conservation and emission reduction measures. The carbon emission management subsystem provides carbon saving guidance and control measures based on the first analysis result and the second analysis result. This helps users to formulate specific emission reduction measures, optimize energy use, improve process flow, and promote low-carbon technologies, thereby reducing carbon emissions and achieving energy conservation and emission reduction goals. The analysis results, carbon saving guidance and control measures are stored in the energy management monitoring terminal, which can be easily accessed and referenced by users at any time. This helps to establish a long-term carbon emission management mechanism, continuously promote energy conservation and emission reduction, and achieve sustainable development of carbon emission reduction.

[0073] This embodiment provides users with comprehensive and accurate energy consumption and carbon emission data, and provides corresponding analysis and management tools to guide and promote the implementation of carbon conservation and emission reduction, and contribute to sustainable development.

[0074] In this embodiment, carbon emissions combination: according to demand, multiple energy collection points are configured and combined to obtain the carbon emissions of physical areas, process steps or product types. For example, the carbon emissions of multiple energy collection points in a production workshop can be combined to obtain the overall carbon emissions of the workshop. And multi-dimensional data analysis: by analyzing multi-dimensional carbon emission data such as different times, different personnel and different processes, the potential for carbon saving can be found and users can be guided to perform carbon saving work. For example, carbon emissions in different time periods can be compared to find high energy consumption periods, and measures can be taken to reduce energy consumption and carbon emissions;

[0075] In this embodiment, the following analysis can be performed for the carbon emission data of different dimensions such as different time, different personnel, and different processes: Time dimension analysis: By comparing the carbon emission data in different time periods, the high carbon emission period and the low carbon emission period can be identified, and then the seasonal, monthly or weekly changes in carbon emissions can be analyzed, which is helpful to determine the cause of the change in carbon emissions and formulate corresponding emission reduction strategies. Personnel dimension analysis: By classifying the carbon emission data according to different personnel, the contribution of different personnel to carbon emissions can be understood. By analyzing the personnel or departments with high carbon emissions, the main sources of carbon emissions can be identified, and corresponding emission reduction measures such as training and awareness raising can be taken. Process dimension analysis: By classifying the carbon emission data according to different processes, the contribution of each process to carbon emissions can be understood. By analyzing the processes with high carbon emissions, the key links of carbon emissions can be found, and measures such as technical improvements and energy optimization can be taken to reduce carbon emissions. Comprehensive analysis: Combining data from multiple dimensions such as time, personnel and processes, a comprehensive analysis can be performed. For example, we can analyze the carbon emissions of processes involving different personnel in different time periods, identify the bottlenecks of carbon emissions, and propose targeted carbon emission reduction measures. Or we can compare the carbon emissions of different personnel in different processes, evaluate the carbon emission performance of personnel, and provide a basis for incentives for emission reduction. By analyzing multi-dimensional carbon emission data, we can gain an in-depth understanding of the changing patterns and main influencing factors of carbon emissions, and provide a reference for formulating emission reduction strategies and optimizing energy management.

[0076] The carbon emission combination and multi-dimensional data analysis of this embodiment can cooperate with each other to deeply understand and optimize the carbon emission situation. Carbon emission combination refers to configuring and combining the carbon emissions of multiple energy collection points to obtain the overall carbon emissions. This method can help enterprises or factories understand the carbon emission contributions and influencing factors of different energy collection points, so as to carry out energy management and emission reduction. By combining the carbon emissions of different energy collection points, the main sources of carbon emissions and high carbon emission areas can be identified, and then corresponding emission reduction strategies can be formulated. Multi-dimensional data analysis refers to the analysis of carbon emission data in multiple dimensions such as different times, different personnel, and different processes. This method can help understand the changing trends and main influencing factors of carbon emissions, so as to find the potential for carbon saving and guide emission reduction. For example, by comparing carbon emissions in different time periods, high energy consumption periods can be found, and measures can be taken to reduce energy consumption and carbon emissions. By analyzing the carbon emissions of different personnel and processes, the main sources and bottlenecks of carbon emissions can be identified, and then corresponding emission reduction measures can be taken. Therefore, carbon emissions combination and multi-dimensional data analysis can complement and support each other, jointly helping enterprises or factories to gain an in-depth understanding of carbon emissions and formulate corresponding emission reduction strategies.

[0077] Based on the results of multi-dimensional data analysis, carbon-saving guidance and control measures can be provided to users. These measures are aimed at optimizing energy use, improving process flow and promoting low-carbon technology to reduce carbon emissions and achieve the goal of energy conservation and emission reduction; Optimize energy use: Reduce energy waste and loss through reasonable planning and management of energy. For example, optimize the energy utilization rate of equipment, select high-efficiency energy equipment or systems, and reasonably adjust the energy supply period. Improve process flow: Reduce energy consumption and carbon emissions by improving production process flow. For example, reduce energy loss in the production process, optimize production line layout, improve equipment energy utilization, promote closed-loop recycling, etc. Promote low-carbon technology: Introduce and promote low-carbon technology and equipment to replace high-carbon emission technology and equipment. For example, use clean energy to replace fossil fuels, promote energy efficient utilization technology, and apply energy-saving and emission reduction devices. Improve employee awareness and participation: Strengthen employees' energy conservation awareness and participation, and encourage employees to take energy-saving and emission reduction behaviors through training and publicity activities. For example, organize energy conservation training, establish energy conservation reward mechanism, and encourage employees to put forward suggestions for energy conservation and emission reduction. Establishment of management and monitoring system: Establish an effective energy management and monitoring system to monitor and analyze energy usage in real time, and promptly identify and resolve energy waste and over-consumption issues. For example, establish an energy consumption monitoring system, conduct regular energy audits, and formulate energy management standards and guidelines. The implementation of these measures will help users reduce carbon emissions, achieve energy conservation and emission reduction goals, and contribute to sustainable development.

[0078] Example 2: Figure 3 As shown, based on Example 1, the carbon emission calculation subsystem provided in this embodiment of the present invention includes:

[0079] The carbon emission factor determination module is responsible for determining the energy type used by each energy collection point, and determining the consumption of each energy by measuring the energy supply and energy consumption of the energy collection point; determining the calculation expression of the carbon emission factor according to the energy type, and obtaining the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor; the energy types include: electricity, natural gas and fuel oil, etc. The carbon emission factor refers to the carbon emissions generated by unit energy consumption. If other energy types are involved, they can be obtained through online search, or by referring to the national or regional energy emission standards or data, or by estimating according to relevant research reports; the energy collection point is equipped with electricity meter, gas meter and steam flow meter, etc.

[0080] The carbon emission calculation principle module is responsible for configuring the corresponding carbon emission calculation rules according to the energy consumption and carbon emission factor to obtain the carbon emissions of the corresponding energy collection point; the carbon emission calculation rule is to multiply the energy consumption by the carbon emission factor;

[0081] The carbon emission calculation module is responsible for summarizing the carbon emissions of each energy collection point based on the carbon emission calculation results of each energy collection point, classifying them according to physical areas, process steps or product types, and obtaining the carbon emissions corresponding to the classification;

[0082] The working principle and beneficial effects of the above technical solution are as follows: the carbon emission factor determination module of this embodiment determines the energy type used by each energy collection point, and determines the consumption of each energy by measuring the energy supply and energy consumption of the energy collection point; determines the calculation expression of the carbon emission factor according to the energy type, and obtains the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor; the energy types include: electricity, natural gas and fuel oil, etc. The carbon emission factor refers to the carbon emissions generated by unit energy consumption. If other energy types are involved, they can be obtained through network search, or can refer to the national or regional energy emission standards or data, or according to relevant research reports. The carbon emission calculation principle module configures the corresponding carbon emission calculation rules according to the energy consumption and carbon emission factor to obtain the carbon emission of the corresponding energy collection point; the carbon emission calculation rule is to multiply the energy consumption by the carbon emission factor; the carbon emission result calculation module summarizes the carbon emissions of each energy collection point according to the carbon emission calculation results of each energy collection point, classifies them according to the physical area, process steps or product types, and obtains the carbon emissions corresponding to the classification; the above scheme can accurately determine the consumption and carbon emissions of each energy by measuring the energy supply and energy consumption of the energy collection point. At the same time, the carbon emission factor calculation expression determined by the energy type can more accurately calculate the carbon emissions. Energy types include electricity, natural gas and fuel oil, which can effectively cover the carbon emission calculation of different energy sources. For other energy types, they can be obtained through online search or reference to national or regional energy emission standards or data, or estimated based on relevant research reports. By setting up energy collection points such as electricity meters, gas meters, and steam flow meters, energy consumption data can be obtained in a timely manner to ensure the real-time calculation of carbon emissions. The carbon emission calculation principle module configures the corresponding carbon emission calculation rules based on energy consumption and carbon emission factors, and can flexibly calculate according to different energy types. By summarizing the carbon emissions of each energy collection point and classifying them according to physical areas, process steps, or product types, the carbon emissions corresponding to the classification can be obtained, and the carbon emission results can be traced and analyzed.

[0083] Compared with the existing technology, this embodiment has higher accuracy, comprehensiveness, real-time performance, flexibility and traceability, can more accurately calculate and manage carbon emissions, and provide a scientific basis for reducing carbon emissions.

[0084] In this embodiment, the calculation expression of the carbon emission factor is explained by taking electricity, natural gas and fuel oil as examples;

[0085] The calculation expression of carbon emission factor of electricity is:

[0086]

[0087] Among them, f p,t represents the carbon emission factor of power generation in region p during period t, in units of g / (kW·h), represents the carbon emission in region p, represents the benchmark carbon emission factor for electricity generation in region p, W p,t represents the power generation in area p during period t, in MW·h. represents the total power generation in region p during period t, in MW·h;

[0088] The calculation expression of the carbon emission factor of natural gas is:

[0089]

[0090] Among them, COF represents the carbon emission factor of natural gas, Indicates the percentage of carbon dioxide in the export gas after natural gas combustion, in %; b i It represents the number of carbon atoms in the molecular formula of each carbon-containing component of natural gas, ai represents the volume percentage of each carbon-containing component in the exported gas, the unit is %; i represents the number of natural gas outlets after combustion, and n represents the total number of natural gas outlets after combustion;

[0091] The calculation expression of the carbon emission factor of fuel is:

[0092]

[0093] Among them, EF β represents the carbon emission factor of the βth fuel energy, C m Indicates the default carbon content of the βth fuel energy, in kg / GJ, Q m It represents the carbon oxidation rate of the βth fuel energy, in %.

[0094] Example 3: Figure 4 As shown, based on Example 2, the carbon emission calculation principle module provided by the embodiment of the present invention includes:

[0095] The configuration request submodule is responsible for obtaining the configuration request for finding the carbon emission factor, determining the energy consumption of the energy collection point according to the energy type, and finding the corresponding carbon emission factor according to the energy type;

[0096] The rule formation submodule is responsible for establishing a mapping relationship between energy types and carbon emission factors according to the identification of energy collection points, and forming carbon emission calculation rules according to the identification and mapping relationship;

[0097] The data storage submodule is responsible for multiplying the energy consumption by the carbon emission factor to obtain the carbon emission of the corresponding energy collection point; and storing the obtained carbon emission data in a database or spreadsheet;

[0098] The working principle and beneficial effects of the above technical solution are as follows: the configuration request submodule of this embodiment obtains a configuration request for searching for carbon emission factors, determines the energy consumption of energy collection points according to energy types, and searches for corresponding carbon emission factors according to energy types; the rule formation submodule establishes a mapping relationship between energy types and carbon emission factors according to the identification of energy collection points, and forms carbon emission calculation rules according to the identification and mapping relationship; the data storage submodule multiplies the energy consumption by the carbon emission factor to obtain the carbon emissions of the corresponding energy collection points; the obtained carbon emission data is stored in a database or spreadsheet; the above solution accurately calculates carbon emissions: by establishing a mapping relationship between energy types and carbon emission factors, the carbon emissions of energy collection points can be accurately calculated, which helps the implementing units or organizations understand and monitor their carbon emission levels, and provides a basis for formulating emission reduction strategies and implementing energy-saving measures. Data management and analysis: the carbon emission data obtained by multiplying the energy consumption of energy collection points by carbon emission factors can be stored in a database or spreadsheet to realize data management; it can facilitate subsequent data query, analysis and report generation, and help units or organizations better understand and manage carbon emissions. Environmental protection and sustainable development: By accurately calculating and managing carbon emissions, we can reduce the adverse impact on the environment and contribute to environmental protection. At the same time, through data analysis and report generation, we can promptly discover and solve problems such as excessive energy consumption or abnormal carbon emissions, and promote units or organizations to move towards the goal of sustainable development.

[0099] This embodiment provides a complete carbon emission calculation and management system to help units or organizations accurately calculate carbon emissions, implement data-based management and analysis, and provide support and guidance for environmental protection and sustainable development.

[0100] Example 4: Figure 5 As shown, based on Example 3, the rule forming submodule provided in this embodiment of the present invention includes:

[0101] The node naming unit is responsible for constructing an association model between the energy collection point identifier and the energy type and carbon emission factor, where the nodes of the association model are named according to the energy collection point identifier;

[0102] The relationship association unit is responsible for receiving the operation instructions and configuration parameters for establishing the mapping relationship when it is necessary to establish the mapping relationship between the identifier and the energy type and the carbon emission factor, and establishing the table connection relationship between the identifier and the energy type and the carbon emission factor through the association model; receiving the mapping relationship operation data, the operation data including the name and attribute of the identifier corresponding to the operation instruction, and establishing the corresponding table connection relationship through the nodes of the association model according to the preset mapping file and table connection relationship;

[0103] The connection relationship unit is responsible for selecting the root node from the nodes corresponding to the current operation requirements, obtaining the path corresponding to the root node to the current mapping relationship; merging the paths in pairs to obtain the minimum connected subgraph, and establishing the table connection relationship between the energy collection point identification and the energy type and carbon emission factor through the connection relationship indicated by the minimum connected subgraph, and forming the carbon emission calculation rules according to the table connection relationship;

[0104] The working principle and beneficial effects of the above technical solution are as follows: the node naming unit of the present embodiment constructs an association model of the energy collection point identifier corresponding to the energy type and the carbon emission factor, wherein the association model, wherein the nodes of the association model are named according to the identifier of the energy collection point; when it is necessary to establish a mapping relationship between the identifier and the energy type and the carbon emission factor, the relationship association unit receives the operation instruction and configuration parameters for establishing the mapping relationship, and establishes a table connection relationship between the identifier and the energy type and the carbon emission factor through the association model; receives mapping relationship operation data, the operation data includes the name and attribute of the identifier corresponding to the operation instruction, and establishes a corresponding table connection relationship through the nodes of the association model according to the preset mapping file and the table connection relationship; the connection relationship unit selects the root node from the nodes corresponding to the current operation demand, and obtains the path corresponding to the root node to the current mapping relationship; merges the paths in pairs to obtain the minimum connected subgraph, and establishes the table connection relationship between the energy collection point identifier and the energy type and the carbon emission factor through the connection relationship indicated by the minimum connected subgraph, and forms a carbon emission calculation rule according to the table connection relationship; the above scheme constructs an association model that can realize the identifier of the energy collection point and the energy type and the carbon emission factor, so as to accurately calculate the carbon emissions corresponding to each classification. The specific meanings include: Data management and integration: By establishing an association model, data such as the identification of energy collection points, energy types, and carbon emission factors can be managed and integrated; this makes it easier to process, analyze, and calculate data. Accurately calculate carbon emissions: By establishing a table connection relationship between identification, energy type, and carbon emission factor through an association model, the energy collection points can be accurately matched with the corresponding energy types and carbon emission factors; the carbon emissions of each category can be accurately calculated based on energy consumption and the corresponding carbon emission factors. Data visualization and analysis: Through the association model, data visualization and analysis can be more convenient; the calculated carbon emission data can be visualized to more intuitively understand the carbon emissions of different categories, and further analysis and comparison can be carried out. Carbon emission management and optimization: By establishing carbon emission calculation rules, carbon emissions can be managed and optimized; based on the calculation results, high carbon emission categories can be identified, and corresponding measures can be taken to reduce carbon emissions, thereby achieving carbon emission management and optimization.

[0105] This embodiment provides an effective method for managing and calculating carbon emissions, which can help achieve control and optimization of carbon emissions.

[0106] Example 5: Figure 6 As shown, based on Example 4, the connection relationship unit provided in this embodiment of the present invention includes:

[0107] The engine startup subunit is responsible for converting the basic attributes of the table connection relationship into the input variables of the carbon emission calculation rule according to the table connection relationship corresponding to the energy type and carbon emission factor according to the identification of the energy collection point, and starting the carbon emission calculation rule engine using the input variables;

[0108] The rule combination subunit is responsible for starting the carbon emission calculation rule engine to execute the carbon emission calculation statement, combining the table connection relationship with the carbon emission calculation rule, and saving the carbon emission variable of the combined carbon emission calculation rule to the computer memory;

[0109] The rule making subunit is responsible for generating a rule engine drawing control object after the script of the carbon emission calculation rule is loaded and compiled by the engine, and completes the making of the carbon emission calculation rule for the identification of the energy collection point;

[0110] The working principle and beneficial effects of the above technical solution are as follows: the engine startup subunit of this embodiment converts the basic attributes of the table connection relationship into the input variables of the carbon emission calculation rule according to the table connection relationship of the energy type and carbon emission factor corresponding to the identification of the energy collection point, and uses the input variables to start the carbon emission calculation rule engine; the rule combination subunit starts the carbon emission calculation rule engine to execute the carbon emission calculation statement, combines the table connection relationship with the carbon emission calculation rule, and saves the carbon emission variable of the combined carbon emission calculation rule to the computer memory; after the script of the carbon emission calculation rule of the rule production subunit is loaded and compiled by the engine, a rule engine drawing control object is generated to complete the production of the carbon emission calculation rule of the energy collection point identification; the above scheme realizes the automation and standardization of the carbon emission calculation of the energy collection point. The specific significance includes: improving the calculation efficiency: by introducing the carbon emission calculation rule engine, the process of carbon emission calculation can be automated to improve the calculation efficiency; the engine can automatically calculate the carbon emission according to the energy type and carbon emission factor in the table connection relationship, avoiding the tedious process of manual calculation. Ensure calculation accuracy: The table connection relationship is linked with the carbon emission calculation rule through the rule linkage subunit to ensure the accuracy of the calculation; the linked carbon emission calculation rule can automatically obtain the corresponding energy type and carbon emission factor according to the identification of the energy collection point, and perform accurate carbon emission calculation. Simplify the rule making process: Through the script loading and compilation of the rule making subunit, the control object of the carbon emission calculation rule can be quickly generated, which simplifies the rule making process; the production staff only needs to write the corresponding carbon emission calculation rule script according to the identification of the energy collection point to generate an executable rule engine. Achieve standardized calculation: By converting the basic attributes of the table connection relationship into the input variables of the carbon emission calculation rule, the standardization of the calculation is achieved; whether it is adding a new energy collection point or updating the data of the energy type and carbon emission factor, it is only necessary to update the table connection relationship and the rule script to achieve the carbon emission calculation of the corresponding energy collection point, ensuring the consistency of the calculation results.

[0111] This embodiment realizes the automation, accuracy and standardization of carbon emission calculations at energy collection points, improves calculation efficiency, simplifies the rule making process, and provides reliable data support for carbon emission management and optimization.

[0112] Example 6: Figure 7 As shown, based on Example 2, the carbon emission result calculation module provided in this embodiment of the present invention includes:

[0113] The classification standard determination submodule is responsible for determining the classification standard according to the physical area, process step or product type, dividing the physical area into different areas, the process step into different steps and the product type into different categories, and obtaining all combinations of classification feature values ​​according to the classification standard;

[0114] The classification characteristic value calculation submodule is responsible for collecting energy consumption, energy type and carbon emission factor related to the classification standard, multiplying the energy consumption by the carbon emission factor of the corresponding energy type to obtain the carbon emission to be classified. The carbon emission is the classification characteristic value;

[0115] The category determination submodule is responsible for determining the category of the carbon emissions to be classified according to all combinations of classification feature values ​​and combinations of classification feature values ​​of the carbon emissions to be classified, and generating a corresponding report using the calculated carbon emissions data through a data visualization tool or a report generation tool;

[0116] The working principle and beneficial effects of the above technical solution are as follows: the classification standard determination submodule of this embodiment determines the classification standard according to the physical area, process step or product type, divides the physical area into different areas, the process step into different steps and the product type into different categories, and obtains all combinations of classification feature values ​​according to the classification standard; the classification feature value calculation submodule collects the energy consumption, energy type and carbon emission factor related to the classification standard, multiplies the energy consumption by the carbon emission factor of the corresponding energy type, and obtains the carbon emissions to be classified, and the carbon emissions are the classification feature values; the category determination submodule determines the category of the carbon emissions to be classified according to all combinations of classification feature values ​​and the combination of classification feature values ​​of the carbon emissions to be classified, and generates a corresponding report with the calculated carbon emissions data through a data visualization tool or a report generation tool; the above scheme is to classify and calculate the energy consumption and carbon emissions of an enterprise, so as to better understand and manage the carbon emissions of the enterprise; by taking the physical area, process step and product type as the classification standard, the carbon emissions of different areas, steps and products can be subdivided and compared, and more specific and detailed carbon emission data can be provided to the enterprise. Classification and calculation methods can help companies identify areas, steps and products with high carbon emissions, and take targeted emission reduction measures; at the same time, reports generated by data visualization tools or report generation tools can intuitively display carbon emission data and trends, help companies formulate carbon emission reduction goals and strategies, and monitor emission reduction effects. In addition, it also helps companies monitor and report carbon emissions to meet the environmental supervision requirements of the government and relevant agencies; at the same time, through the classification and calculation of carbon emissions, companies can also provide environmentally friendly certification and labeling for their products to enhance the market competitiveness of their products.

[0117] This embodiment aims to help enterprises fully understand and manage carbon emissions and achieve sustainable development goals, while providing enterprises with decision-making basis and market competitive advantages related to carbon emissions.

[0118] Example 7: Figure 8As shown, based on Example 1, the analysis result acquisition subsystem provided by the embodiment of the present invention includes:

[0119] The factor division module is responsible for combining multiple energy collection points according to the physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; obtain the processes involving different personnel in different time periods, or different processes involving different personnel, determine that the carbon emission vectors with the same time period, the same personnel or the same process steps are divided into one category, and cluster the carbon emission vectors of each category through the K-means clustering method to obtain subcategories of each category;

[0120] The distance calculation module is responsible for determining the amount of carbon emission vector data for each subclass and the carbon emission vector at the center of each subclass. According to the number of carbon emission vectors in each subclass, the distance between each carbon emission vector and the carbon emission vector at the center of the subclass to which it belongs is calculated. The mean of all distances, the standard deviation of distances and the mean of distances for each class are calculated. The distance of each class determines the confidence interval of each class, and the corresponding relationship between the confidence interval of each class and the corresponding carbon emission of each class is established.

[0121] The standard determination module is responsible for determining the confidence intervals corresponding to different times, different personnel and different process steps, adjusting the confidence intervals according to the carbon emission data, determining the multi-dimensional standards with the adjusted confidence intervals, analyzing the multi-dimensional carbon emission data of different times, different personnel and different process steps, and obtaining the second analysis result;

[0122] The working principle and beneficial effects of the above technical solution are as follows: the factor division module of this embodiment combines multiple energy collection points according to the physical area division, process steps or product categories, obtains the overall carbon emissions of the corresponding physical area, process steps or products, and obtains the first analysis result; obtains the processes involving different personnel in different time periods, or different processes involving different personnel, and determines that the carbon emission vectors with the same time period, the same personnel or the same process steps are divided into one category, and the carbon emission vectors of each category are clustered by the K-means clustering method to obtain subcategories of each category; the distance calculation module determines the carbon emission vector data volume of each subcategory and the carbon emission vector located at the center of each subcategory, and calculates the carbon emission vector data volume of each subcategory according to the carbon emission vector of each subcategory. The number of volume vectors is calculated, and the distance between each carbon emission vector and the carbon emission vector at the center of its subclass is calculated. All distance means, distance standard deviations and distance means of each category are calculated. The distance of each category determines the confidence interval of each category, and the corresponding relationship between the confidence interval of each category and the corresponding carbon emissions of each category is established; the standard determination module determines the confidence interval corresponding to different times, different personnel and different process steps, adjusts the confidence interval according to the carbon emission data, and determines the multi-dimensional standard with the adjusted confidence interval, analyzes the multi-dimensional carbon emission data of different times, different personnel and different process steps, and obtains the second analysis result; the above scheme analyzes and classifies the carbon emission data in order to better understand and manage carbon emissions. Specifically, the significance includes: Carbon emission analysis: By combining energy collection points according to physical areas, process steps or product categories, the overall carbon emissions of different physical areas, process steps or products can be obtained; it is helpful to analyze and evaluate carbon emissions. Carbon emissions clustering: By using the K-means clustering method, carbon emissions vectors with similar time periods, personnel or process steps are classified into one category, which can be used to classify carbon emissions in more detail; it helps to discover patterns and trends in carbon emissions. Confidence interval establishment: By calculating the distance mean, distance standard deviation and distance mean of each category, confidence intervals for each category can be established; it helps to determine the credibility and error range of each category of carbon emissions. Multi-dimensional standard determination: By adjusting the confidence intervals and determining multi-dimensional standards according to the confidence intervals corresponding to different times, different personnel and different process steps, carbon emissions data in different dimensions can be analyzed; it helps to deeply understand the impact of different factors on carbon emissions and provide more comprehensive guidance for carbon emissions management.

[0123] This embodiment provides a method for analyzing, classifying and evaluating carbon emission data, which provides an important basis for the formulation of carbon emission management and emission reduction measures. The first analysis result is to obtain the overall carbon emissions of the corresponding physical area, process step or product. This result can be used to compare the carbon emission differences between different areas, steps or products, thereby helping enterprises to determine the hot spots or links of carbon emissions. Enterprises can formulate emission reduction strategies based on this result, focusing on high-emission areas or links to achieve the goal of reducing overall carbon emissions. The second analysis result is to analyze multi-dimensional carbon emission data such as different times, different personnel and different process steps. Through this result, we can have an in-depth understanding of the time trend of carbon emissions, the differences between different personnel or processes, etc. Enterprises can use this result to find out the reasons for carbon emission fluctuations, evaluate the carbon emission performance of each person or process, and formulate corresponding management measures. The significance of these two analysis results is to provide enterprises with detailed carbon emission data and analysis results, help enterprises better understand the situation of carbon emissions, find out the factors affecting emissions, and formulate corresponding management and emission reduction strategies. Through the analysis of overall carbon emissions and multi-dimensional emission data, enterprises can gradually optimize production processes and management measures to achieve carbon emission reduction and sustainable development goals. In addition, these analysis results can also be used for internal management and external reporting to demonstrate the company's carbon emissions and emission reduction achievements.

[0124] Example 8: Fig. 9 As shown, based on Example 1, the carbon emission management subsystem provided by the embodiment of the present invention includes:

[0125] The evaluation and analysis module is responsible for conducting a comprehensive evaluation and analysis of carbon emissions based on the first and second analysis results. The analysis results include the carbon emissions of different processes or activities, energy usage, and the main causes of carbon emissions;

[0126] The guidance and measures module is responsible for formulating specific carbon-saving guidance based on the analysis results, including specific methods for reducing carbon emissions from specific processes or products, suggestions for optimizing energy use, and recommendations for using more environmentally friendly processes or materials; based on the analysis results, formulating control measures, including implementing an energy management system, establishing carbon emission targets, and optimizing monitoring and control methods for energy use;

[0127] The terminal function control module is responsible for storing data and information such as analysis results, carbon saving guidance and control measures in the energy management monitoring terminal; the energy management monitoring terminal has storage, query, analysis and reporting functions to support the implementation and monitoring of carbon emission management;

[0128] The working principle and beneficial effects of the above technical solution are as follows: the evaluation and analysis module of this embodiment comprehensively evaluates and analyzes the carbon emission situation according to the first analysis result and the second analysis result, and the analysis results include the carbon emission of different processes or activities, energy usage and the main causes of carbon emission, etc.; the guidance and measures module formulates specific carbon saving guidance according to the analysis results, including specific methods for reducing carbon emissions of specific processes or products, suggestions for optimizing energy usage, and recommendations for the use of more environmentally friendly processes or materials, etc.; according to the analysis results, control measures are formulated, including implementing an energy management system, establishing carbon emission targets, and optimizing monitoring and control methods for energy usage, etc.; the terminal function control module stores data and information such as analysis results, carbon saving guidance and control measures in the energy management monitoring terminal; the energy management monitoring terminal has functions such as storage, query, analysis and reporting, and supports the implementation and monitoring of carbon emission management; the above scheme provides a systematic method to evaluate and control carbon emissions; by analyzing and evaluating the carbon emission and energy usage of different processes or activities, the main causes of carbon emissions can be understood, and corresponding carbon saving guidance and control measures can be formulated; these guidance and measures are aimed at reducing carbon emissions, optimizing energy usage, and recommending environmentally friendly processes and materials. By storing this data and information in the energy management monitoring terminal, the analysis results, carbon saving guidance and control measures can be accessed and viewed at any time to make necessary adjustments and improvements; the functions of the energy management monitoring terminal include storage, query, analysis and reporting, which can effectively support the implementation and monitoring of carbon emission management.

[0129] Example 9: Fig.10 As shown, based on Examples 1 to 8, the systematic enterprise carbon management method provided by the embodiment of the present invention comprises the following steps:

[0130] S100: determining a carbon emission factor according to the energy consumption of the energy collection point and the energy type of the energy collection point, determining a carbon emission calculation rule corresponding to each energy collection point according to the energy consumption and the carbon emission factor, and then obtaining the carbon emission of each energy collection point;

[0131] S200: combining multiple energy collection points according to physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtaining a first analysis result; analyzing the carbon emissions data of different dimensions such as different time, different personnel and different process steps to obtain a second analysis result;

[0132] S300: providing carbon saving guidance and control measures according to the first analysis result and the second analysis result; storing the first analysis result, the second analysis result, the carbon saving guidance and control measures in the energy management monitoring terminal;

[0133] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first determines the carbon emission factor according to the energy consumption of the energy collection point and the energy type of the energy collection point, and determines the carbon emission calculation rule corresponding to each energy collection point according to the energy consumption and the carbon emission factor, and then obtains the carbon emissions of each energy collection point; secondly, according to the physical area division, process steps or product categories, multiple energy collection points are configured and combined to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain a first analysis result; the carbon emission data of multiple dimensions such as different time, different personnel and different process steps are analyzed to obtain a second analysis result; finally, according to the first analysis result and the second analysis result, carbon saving guidance and control measures are provided; the first analysis result, the second analysis result, the carbon saving guidance and control measures are stored in the energy management monitoring terminal (for specific principles, refer to the attached Figure 2 ); The above scheme realizes comprehensive monitoring, analysis and management of energy consumption and carbon emissions through the cooperation of the carbon emission calculation subsystem, the analysis result acquisition subsystem and the carbon emission management subsystem, so as to achieve the goal of carbon saving and emission reduction. The specific meaning is as follows: The establishment and operation of the carbon emission calculation subsystem can accurately calculate the carbon emissions of each energy collection point. This helps the user understand the carbon emissions of different energy consumption points and provide specific data support for energy conservation and emission reduction. The use of the analysis result acquisition subsystem can configure and combine energy collection points of different physical areas, process steps or product categories to obtain the overall carbon emissions. This helps the user understand the carbon emissions of different areas, steps or products and provide a basis for formulating carbon emission reduction strategies. The analysis result acquisition subsystem analyzes the multi-dimensional carbon emission data and can find the trend and reasons of carbon emission changes in different times, different personnel and different process steps. This helps the user to have a deep understanding of the influencing factors of carbon emissions and provide guidance for formulating targeted energy conservation and emission reduction measures. The carbon emission management subsystem provides carbon saving guidance and control measures based on the first analysis result and the second analysis result. This helps users to formulate specific emission reduction measures, optimize energy use, improve process flow, and promote low-carbon technologies, thereby reducing carbon emissions and achieving energy conservation and emission reduction goals. The analysis results, carbon saving guidance and control measures are stored in the energy management monitoring terminal, which can be easily accessed and referenced by users at any time. This helps to establish a long-term carbon emission management mechanism, continuously promote energy conservation and emission reduction, and achieve sustainable development of carbon emission reduction.

[0134] Example 10: Fig.11 As shown, based on Example 9, the process of obtaining the carbon emissions of each energy collection point provided in the embodiment of the present invention includes the following steps:

[0135] S101: Determine the type of energy used at each energy collection point, and determine the consumption of each energy by measuring the energy supply and energy consumption at the energy collection point; determine the calculation expression of the carbon emission factor according to the energy type, and obtain the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor; the energy types include: electricity, natural gas and fuel oil, etc. The carbon emission factor refers to the carbon emissions generated by unit energy consumption. If other energy types are involved, they can be obtained through online search, or by referring to national or regional energy emission standards or data, or by estimating according to relevant research reports; the energy collection point is equipped with an electricity meter, a gas meter and a steam flow meter, etc.;

[0136] S102: According to the energy consumption and the carbon emission factor, a corresponding carbon emission calculation rule is configured to obtain the carbon emission of the corresponding energy collection point; wherein the carbon emission calculation rule is to multiply the energy consumption by the carbon emission factor;

[0137] S103: According to the calculation result of the carbon emission of each energy collection point, the carbon emission of each energy collection point is summarized, and classified according to the physical area, process step or product type to obtain the carbon emission corresponding to the classification;

[0138] The working principle and beneficial effects of the above technical solution are as follows: This embodiment first determines the type of energy used by each energy collection point, and determines the consumption of each energy by measuring the energy supply and energy consumption of the energy collection point; determines the calculation expression of the carbon emission factor according to the energy type, and obtains the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor; the energy types include: electricity, natural gas and fuel oil, etc. The carbon emission factor refers to the carbon emissions generated by unit energy consumption. If other energy types are involved, they can be obtained through network search, or can refer to the national or regional energy emission standards or data, or according to relevant Research report is used for estimation; the energy collection points are equipped with electricity meters, gas meters and steam flow meters, etc.; secondly, according to the energy consumption and carbon emission factor, the corresponding carbon emission calculation rules are configured to obtain the carbon emissions of the corresponding energy collection points; the carbon emission calculation rule is the multiplication of energy consumption and carbon emission factor; finally, according to the carbon emission calculation results of each energy collection point, the carbon emissions of each energy collection point are summarized, and classified according to the physical area, process step or product type to obtain the carbon emissions corresponding to the classification; the above scheme can accurately determine the consumption and carbon emissions of each energy by measuring the energy supply and energy consumption of the energy collection point. At the same time, the carbon emission factor calculation expression determined by the energy type can more accurately calculate the carbon emissions. Energy types include electricity, natural gas and fuel oil, which can effectively cover the carbon emission calculation of different energy sources. For other energy types, they can be obtained through online search or reference to national or regional energy emission standards or data, or estimated based on relevant research reports. By setting energy collection points such as electricity meters, gas meters and steam flow meters, energy consumption data can be obtained in a timely manner to ensure the real-time calculation of carbon emissions. The carbon emission calculation principle module configures the corresponding carbon emission calculation rules according to energy consumption and carbon emission factors, and can flexibly calculate according to different energy types. By summarizing the carbon emissions of each energy collection point and classifying them according to physical areas, process steps or product types, the carbon emissions corresponding to the classification can be obtained, and the carbon emission results can be traced and analyzed.

[0139] Compared with the existing technology, this embodiment has higher accuracy, comprehensiveness, real-time performance, flexibility and traceability, can more accurately calculate and manage carbon emissions, and provide a scientific basis for reducing carbon emissions.

[0140] In this embodiment, the calculation expression of the carbon emission factor is explained by taking electricity, natural gas and fuel oil as examples;

[0141] The calculation expression of carbon emission factor of electricity is:

[0142]

[0143] Among them, fp,t represents the carbon emission factor of power generation in region p during period t, in units of g / (kW·h), represents the carbon emission in region p, represents the benchmark carbon emission factor for electricity generation in region p, W p,t represents the power generation in area p during period t, in MW·h. represents the total power generation in region p during period t, in MW·h;

[0144] The calculation expression of the carbon emission factor of natural gas is:

[0145]

[0146] Among them, COF represents the carbon emission factor of natural gas, Indicates the percentage of carbon dioxide in the export gas after natural gas combustion, in %; b i Indicates the number of carbon atoms in the molecular formula of each carbon-containing component of natural gas, a i It indicates the volume percentage of each carbon-containing component in the outlet gas, in %; i indicates the number of outlets after natural gas combustion, and n indicates the total number of outlets after natural gas combustion;

[0147] The calculation expression of the carbon emission factor of fuel is:

[0148]

[0149] Among them, EF β represents the carbon emission factor of the βth fuel energy, C m Indicates the default carbon content of the βth fuel energy, in kg / GJ, Q m It represents the carbon oxidation rate of the βth fuel energy, in %.

[0150] Example 11: Fig.12 As shown, based on Example 9, the process of obtaining the first analysis result and the second analysis result provided in this embodiment of the present invention includes the following steps:

[0151] S201: According to the physical area division, process steps or product categories, multiple energy collection points are combined to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; the processes in which different personnel participate in different time periods, or different processes in which different personnel participate, are obtained, and the carbon emission vectors with the same time period, the same personnel or the same process steps are determined to be classified into one category, and the carbon emission vectors of each category are clustered by the K-means clustering method to obtain subcategories of each category;

[0152] S202: Determine the amount of carbon emission vector data for each subclass and the carbon emission vector at the center of each subclass, calculate the distance between each carbon emission vector and the carbon emission vector at the center of the subclass to which it belongs based on the amount of carbon emission vectors for each subclass, calculate all distance means, distance standard deviations and distance means for each class, determine the confidence interval of each class based on the distance of each class, and establish a corresponding relationship between the confidence interval of each class and the carbon emission corresponding to each class;

[0153] S203: Determine the confidence intervals corresponding to different times, different personnel, and different process steps, adjust the confidence intervals according to the carbon emission data, determine the multi-dimensional standard with the adjusted confidence intervals, analyze the multi-dimensional carbon emission data of different times, different personnel, and different process steps, and obtain a second analysis result;

[0154] The working principle and beneficial effects of the above technical solution are as follows: In this embodiment, first, multiple energy collection points are combined according to the physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; the processes in which different personnel participate in different time periods, or different processes in which different personnel participate, are obtained, and the carbon emission vectors with the same time period, the same personnel or the same process steps are determined to be divided into one category, and the carbon emission vectors of each category are clustered by the K-means clustering method to obtain subcategories of each category; secondly, the carbon emission vector data volume of each subcategory and the carbon emission vector located at the center of each subcategory are determined, and the carbon emission vector data volume of each subcategory is divided into subcategories according to the carbon emission vector of each subcategory. Quantity, calculate the distance between each carbon emission vector and the carbon emission vector at the center of its subclass, calculate all distance means, distance standard deviations and distance means of each class, determine the confidence interval of each class based on the distance of each class, and establish the corresponding relationship between the confidence interval of each class and the corresponding carbon emissions of each class; finally, determine the confidence interval corresponding to different time, different personnel and different process steps, adjust the confidence interval according to the carbon emission data, determine the multi-dimensional standard with the adjusted confidence interval, analyze the multi-dimensional carbon emission data of different time, different personnel and different process steps, and obtain the second analysis result; the above scheme analyzes and classifies the carbon emission data in order to better understand and manage carbon emissions. Specifically, the significance includes: Carbon emission analysis: By combining energy collection points according to physical areas, process steps or product categories, the overall carbon emissions of different physical areas, process steps or products can be obtained; it is helpful to analyze and evaluate carbon emissions. Carbon emissions clustering: By using the K-means clustering method, carbon emissions vectors with similar time periods, personnel or process steps are classified into one category, which can be used to classify carbon emissions in more detail; it helps to discover patterns and trends in carbon emissions. Confidence interval establishment: By calculating the distance mean, distance standard deviation and distance mean of each category, confidence intervals for each category can be established; it helps to determine the credibility and error range of each category of carbon emissions. Multi-dimensional standard determination: By adjusting the confidence intervals and determining multi-dimensional standards according to the confidence intervals corresponding to different times, different personnel and different process steps, carbon emissions data in different dimensions can be analyzed; it helps to deeply understand the impact of different factors on carbon emissions and provide more comprehensive guidance for carbon emissions management.

[0155] This embodiment provides a method for analyzing, classifying and evaluating carbon emission data, which provides an important basis for the formulation of carbon emission management and emission reduction measures. The first analysis result is to obtain the overall carbon emissions of the corresponding physical area, process step or product. This result can be used to compare the carbon emission differences between different areas, steps or products, thereby helping enterprises to determine the hot spots or links of carbon emissions. Enterprises can formulate emission reduction strategies based on this result, focusing on high-emission areas or links to achieve the goal of reducing overall carbon emissions. The second analysis result is to analyze multi-dimensional carbon emission data such as different times, different personnel and different process steps. Through this result, we can have an in-depth understanding of the time trend of carbon emissions, the differences between different personnel or processes, etc. Enterprises can use this result to find out the reasons for carbon emission fluctuations, evaluate the carbon emission performance of each person or process, and formulate corresponding management measures. The significance of these two analysis results is to provide enterprises with detailed carbon emission data and analysis results, help enterprises better understand the situation of carbon emissions, find out the factors affecting emissions, and formulate corresponding management and emission reduction strategies. Through the analysis of overall carbon emissions and multi-dimensional emission data, enterprises can gradually optimize production processes and management measures to achieve carbon emission reduction and sustainable development goals. In addition, these analysis results can also be used for internal management and external reporting to demonstrate the company's carbon emissions and emission reduction achievements.

[0156] Example 12: Fig.13 As shown, based on Example 9, the processing process of the first analysis result, the second analysis result, the carbon saving guidance and the control measures provided in the embodiment of the present invention includes the following steps:

[0157] S301: Based on the first analysis result and the second analysis result, a comprehensive assessment and analysis of the carbon emissions is performed, wherein the analysis results include the carbon emissions of different processes or activities, energy usage, and the main causes of carbon emissions;

[0158] S302: Based on the analysis results, formulate specific carbon-saving guidance, including specific methods to reduce carbon emissions of specific processes or products, suggestions for optimizing energy use, and recommendations for using more environmentally friendly processes or materials; Based on the analysis results, formulate control measures, including implementing an energy management system, establishing carbon emission targets, and optimizing monitoring and control methods for energy use;

[0159] S303: storing the analysis results, carbon saving guidance and control measures and other data and information in the energy management monitoring terminal; the energy management monitoring terminal has storage, query, analysis and reporting functions, and supports the implementation and monitoring of carbon emission management;

[0160] The working principle and beneficial effects of the above technical solution are as follows: First, according to the first analysis result and the second analysis result, this embodiment comprehensively evaluates and analyzes the carbon emission situation, and the analysis results include the carbon emission of different processes or activities, energy usage and the main causes of carbon emission, etc.; secondly, according to the analysis results, specific carbon saving guidance is formulated, including specific methods for reducing carbon emissions of specific processes or products, suggestions for optimizing energy usage, and recommendations for the use of more environmentally friendly processes or materials, etc.; according to the analysis results, control measures are formulated, including the implementation of an energy management system, the establishment of carbon emission targets, and the monitoring and control methods for optimizing energy usage, etc.; finally, the analysis results, carbon saving guidance and control measures and other data and information are stored in the energy management monitoring terminal; the energy management monitoring terminal has the functions of storage, query, analysis and reporting, and supports the implementation and monitoring of carbon emission management; the above scheme provides a systematic method to evaluate and control carbon emissions; by analyzing and evaluating the carbon emissions and energy usage of different processes or activities, the main causes of carbon emissions can be understood, and corresponding carbon saving guidance and control measures can be formulated; these guidance and measures are aimed at reducing carbon emissions, optimizing energy usage, and recommending environmentally friendly processes and materials. By storing this data and information in the energy management monitoring terminal, the analysis results, carbon saving guidance and control measures can be accessed and viewed at any time to make necessary adjustments and improvements; the functions of the energy management monitoring terminal include storage, query, analysis and reporting, which can effectively support the implementation and monitoring of carbon emission management.

[0161] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A systematic enterprise carbon management system, characterized by: Include: The carbon emission calculation subsystem is responsible for determining the carbon emission factor according to the energy consumption of the energy collection point and the energy type of the energy collection point, and determining the carbon emission calculation rule corresponding to each energy collection point according to the energy consumption and carbon emission factor, and then obtaining the carbon emission of each energy collection point; The analysis result acquisition subsystem is responsible for combining multiple energy collection points according to the physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; it analyzes the multi-dimensional carbon emissions data of different times, different personnel and different process steps to obtain the second analysis result; The carbon emission management subsystem is responsible for providing carbon saving guidance and control measures based on the first analysis result and the second analysis result; and storing the first analysis result, the second analysis result, the carbon saving guidance and control measures in the energy management monitoring terminal; Carbon emissions calculation subsystem, including: The carbon emission factor determination module is responsible for determining the energy type used by each energy collection point, and determining the consumption of each energy by measuring the energy supply and energy consumption of the energy collection point; determining the calculation expression of the carbon emission factor according to the energy type, and obtaining the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor; The carbon emission calculation principle module is responsible for configuring the corresponding carbon emission calculation rules according to the energy consumption and carbon emission factor to obtain the carbon emissions of the corresponding energy collection point; the carbon emission calculation rule is to multiply the energy consumption by the carbon emission factor; The carbon emission calculation module is responsible for summarizing the carbon emissions of each energy collection point based on the carbon emission calculation results of each energy collection point, classifying them according to physical areas, process steps or product types, and obtaining the carbon emissions corresponding to the classification; Explain the calculation expression of carbon emission factor using electricity, natural gas and fuel oil; The calculation expression of carbon emission factor of electricity is: Among them, f p，t represents the carbon emission factor of power generation in region p during period t, in units of g / (kW·h), represents the carbon emission in region p, represents the benchmark carbon emission factor for electricity generation in region p, W p，t represents the power generation in area p during period t, in MW·h. represents the total power generation in region p during period t, in MW·h; The calculation expression of the carbon emission factor of natural gas is: Among them, COF represents the carbon emission factor of natural gas, Indicates the percentage of carbon dioxide in the export gas after natural gas combustion, in %; b i Indicates the number of carbon atoms in the molecular formula of each carbon-containing component of natural gas, a i It indicates the volume percentage of each carbon-containing component in the outlet gas, in %; i indicates the number of outlets after natural gas combustion, and n indicates the total number of outlets after natural gas combustion; The calculation expression of the carbon emission factor of fuel is: Among them, EF β represents the carbon emission factor of the βth fuel energy, C m Indicates the default carbon content of the βth fuel energy, in kg / GJ, Q m Indicates the carbon oxidation rate of the βth fuel energy, in %; Carbon emission calculation principle module, including: The configuration request submodule is responsible for obtaining the configuration request for finding the carbon emission factor, determining the energy consumption of the energy collection point according to the energy type, and finding the corresponding carbon emission factor according to the energy type; The rule formation submodule is responsible for establishing the mapping relationship between energy type and carbon emission factor according to the identification of energy collection points, and forming the carbon emission calculation rules according to the identification and mapping relationship; The data storage submodule is responsible for multiplying the energy consumption by the carbon emission factor to obtain the carbon emission of the corresponding energy collection point; and storing the obtained carbon emission data in a database or spreadsheet; The analysis result acquisition subsystem includes: The factor division module is responsible for combining multiple energy collection points according to the physical area division, process steps or product categories to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; obtain the processes involving different personnel in different time periods, or different processes involving different personnel, determine that the carbon emission vectors with the same time period, the same personnel or the same process steps are divided into one category, and cluster the carbon emission vectors of each category through the K-means clustering method to obtain subcategories of each category; The distance calculation module is responsible for determining the amount of carbon emission vector data for each subclass and the carbon emission vector at the center of each subclass. According to the number of carbon emission vectors in each subclass, the distance between each carbon emission vector and the carbon emission vector at the center of the subclass to which it belongs is calculated. The mean of all distances, the standard deviation of distances and the mean of distances for each class are calculated. The distance of each class determines the confidence interval of each class, and the corresponding relationship between the confidence interval of each class and the corresponding carbon emission of each class is established. The standard determination module is responsible for determining the confidence intervals corresponding to different times, different personnel and different process steps, adjusting the confidence intervals according to the carbon emission data, determining the multi-dimensional standards with the adjusted confidence intervals, analyzing the multi-dimensional carbon emission data of different times, different personnel and different process steps, and obtaining the second analysis result.

2. The systematic enterprise carbon management system according to claim 1, characterized in that: The rule formation submodule includes: The node naming unit is responsible for constructing an association model between the energy collection point identifier and the energy type and carbon emission factor, where the nodes of the association model are named according to the energy collection point identifier; The relationship association unit is responsible for receiving the operation instructions and configuration parameters for establishing the mapping relationship when it is necessary to establish the mapping relationship between the identifier and the energy type and the carbon emission factor, and establishing the table connection relationship between the identifier and the energy type and the carbon emission factor through the association model; receiving the mapping relationship operation data, the operation data including the name and attribute of the identifier corresponding to the operation instruction, and establishing the corresponding table connection relationship through the nodes of the association model according to the preset mapping file and table connection relationship; The connection relationship unit is responsible for selecting the root node from the nodes corresponding to the current operation requirements and obtaining the path corresponding to the root node to the current mapping relationship; merging the paths in pairs to obtain the minimum connected subgraph, and establishing a table connection relationship between the energy collection point identification and the energy type and carbon emission factor through the connection relationship indicated by the minimum connected subgraph, and forming a carbon emission calculation rule based on the table connection relationship.

3. The systematic enterprise carbon management system according to claim 2, characterized in that: The connection relationship unit includes: The engine startup subunit is responsible for converting the basic attributes of the table connection relationship into the input variables of the carbon emission calculation rule according to the table connection relationship corresponding to the energy type and carbon emission factor according to the identification of the energy collection point, and starting the carbon emission calculation rule engine using the input variables; The rule combination subunit is responsible for starting the carbon emission calculation rule engine to execute the carbon emission calculation statement, combining the table connection relationship with the carbon emission calculation rule, and saving the carbon emission variable of the combined carbon emission calculation rule to the computer memory; The rule making subunit is responsible for generating a rule engine drawing control object after the script of the carbon emission calculation rule is loaded and compiled by the engine, thereby completing the making of the carbon emission calculation rule for the identification of the energy collection point.

4. The systematic enterprise carbon management system according to claim 1, characterized in that: Carbon emission calculation module, including: The classification standard determination submodule is responsible for determining the classification standard according to the physical area, process step or product type, dividing the physical area into different areas, the process step into different steps and the product type into different categories, and obtaining all combinations of classification feature values ​​according to the classification standard; The classification characteristic value calculation submodule is responsible for collecting energy consumption, energy type and carbon emission factor related to the classification standard, multiplying the energy consumption by the carbon emission factor of the corresponding energy type to obtain the carbon emission to be classified. The carbon emission is the classification characteristic value; The category determination submodule is responsible for determining the category of the carbon emissions to be classified based on all combinations of classification feature values ​​and combinations of classification feature values ​​of the carbon emissions to be classified, and generating a corresponding report using the calculated carbon emissions data through data visualization tools or report generation tools.

5. The systematic enterprise carbon management system according to claim 1, characterized in that: Carbon emission management subsystem, including: The evaluation and analysis module is responsible for conducting a comprehensive evaluation and analysis of carbon emissions based on the first and second analysis results. The analysis results include the carbon emissions of different processes or activities, energy usage, and the causes of carbon emissions; The guidance and measures module is responsible for formulating specific carbon-saving guidance based on the analysis results, including specific methods for reducing carbon emissions of specific processes or products, suggestions for optimizing energy use, and recommendations for using more environmentally friendly processes or materials; based on the analysis results, formulating control measures, including implementing an energy management system, establishing carbon emission targets, and optimizing monitoring and control methods for energy use; The terminal function control module is responsible for storing the analysis results, carbon saving guidance and control measures data and information in the energy management monitoring terminal; The energy management monitoring terminal has storage, query, analysis and reporting functions, supporting the implementation and monitoring of carbon emission management.

6. A systematic corporate carbon management method, characterized in that: The following steps are involved: According to the energy consumption of the energy collection point and the energy type of the energy collection point, the carbon emission factor is determined. According to the energy consumption and the carbon emission factor, the carbon emission calculation rule corresponding to each energy collection point is determined, and then the carbon emission of each energy collection point is obtained; According to the physical area division, process steps or product categories, multiple energy collection points are combined to obtain the overall carbon emissions of the corresponding physical area, process steps or products to obtain the first analysis result; the multi-dimensional carbon emissions data of different times, different personnel and different process steps are analyzed to obtain the second analysis result; Providing carbon-saving guidance and control measures according to the first analysis result and the second analysis result; storing the first analysis result, the second analysis result, the carbon-saving guidance and control measures in the energy management monitoring terminal; The process of obtaining the carbon emissions of each energy collection point includes the following steps: Determine the type of energy used at each energy collection point, and determine the consumption of each energy by measuring the energy supply and energy consumption at the energy collection point; determine the calculation expression of the carbon emission factor according to the energy type, and obtain the carbon emission factor corresponding to the energy type according to the calculation expression of the carbon emission factor; According to the energy consumption and carbon emission factor, the corresponding carbon emission calculation rules are configured to obtain the carbon emission of the corresponding energy collection point; the carbon emission calculation rule is to multiply the energy consumption by the carbon emission factor; The configuration request submodule obtains a configuration request for searching for carbon emission factors, determines the energy consumption of energy collection points according to energy types, and searches for corresponding carbon emission factors according to energy types; the rule formation submodule establishes a mapping relationship between energy types and carbon emission factors according to the identification of energy collection points, and forms carbon emission calculation rules according to the identification and mapping relationship; the data storage submodule multiplies the energy consumption by the carbon emission factor to obtain the carbon emissions of the corresponding energy collection points; and stores the obtained carbon emission data in a database or spreadsheet; Based on the carbon emission calculation results of each energy collection point, the carbon emissions of each energy collection point are summarized and classified according to physical area, process step or product type to obtain the carbon emissions corresponding to the classification; The process of obtaining the first analysis result and the second analysis result includes the following steps: According to the physical area division, process steps or product categories, multiple energy collection points are combined to obtain the overall carbon emissions of the corresponding physical area, process steps or products, and obtain the first analysis result; the processes involving different personnel in different time periods, or different processes involving different personnel, are obtained, and the carbon emission vectors with the same time period, the same personnel or the same process steps are determined to be divided into one category, and the carbon emission vectors of each category are clustered by the K-means clustering method to obtain subcategories of each category; Determine the amount of carbon emission vector data for each subclass and the carbon emission vector at the center of each subclass. According to the number of carbon emission vectors for each subclass, calculate the distance between each carbon emission vector and the carbon emission vector at the center of its subclass. Calculate all distance means, distance standard deviations, and distance means for each class. Determine the confidence interval of each class based on the distance of each class, and establish the corresponding relationship between the confidence interval of each class and the corresponding carbon emission of each class. Determine the confidence intervals corresponding to different times, different personnel and different process steps, adjust the confidence intervals according to the carbon emission data, determine the multi-dimensional standard with the adjusted confidence intervals, analyze the multi-dimensional carbon emission data of different times, different personnel and different process steps, and obtain the second analysis result; Explain the calculation expression of carbon emission factor using electricity, natural gas and fuel oil; The calculation expression of carbon emission factor of electricity is: Among them, f p，t represents the carbon emission factor of power generation in region p during period t, in units of g / (kW·h), represents the carbon emission in region p, represents the benchmark carbon emission factor for electricity generation in region p, W p，t represents the power generation in area p during period t, in MW·h. represents the total power generation in region p during period t, in MW·h; The calculation expression of the carbon emission factor of natural gas is: Among them, COF represents the carbon emission factor of natural gas, Indicates the percentage of carbon dioxide in the export gas after natural gas combustion, in %; b i Indicates the number of carbon atoms in the molecular formula of each carbon-containing component of natural gas, a i It indicates the volume percentage of each carbon-containing component in the outlet gas, in %; i indicates the number of outlets after natural gas combustion, and n indicates the total number of outlets after natural gas combustion; The calculation expression of the carbon emission factor of fuel is: Among them, EF β represents the carbon emission factor of the βth fuel energy, C m Indicates the default carbon content of the βth fuel energy, in kg / GJ, Q m It represents the carbon oxidation rate of the βth fuel energy, in %.

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