Carbon data management system and method thereof
By designing a carbon data management system, including multiple functional modules, to realize automated collection, data filling and visual analysis, the problem of inefficient carbon data management in the existing technology is solved, and management efficiency and data coverage are improved.
Patent Information
- Application Number
- CN202411363448.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-27
- Publication Date
- 2025-02-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing corporate carbon data management methods are inefficient and consume a lot of manpower, making it difficult to meet the needs of informatization and efficiency of enterprise management.
A carbon data management system was designed, including basic information module, accounting configuration module, data association module, content maintenance module, automated collection module, data filling module, visual analysis module and report generation module to realize automated collection, data filling and visualization Analysis to improve management efficiency.
It has achieved full coverage, automated collection and analysis of enterprise carbon data, reduced human participation, improved management efficiency, reduced management costs, and supported real-time visual display and carbon emission warning.
Smart Images

Figure CN119443473A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data management, and in particular to a carbon data management system and method thereof. Background Art
[0002] As the global climate change problem becomes increasingly serious, many countries and regions have formulated relevant carbon emission policies and regulations, requiring enterprises and organizations to monitor, report and reduce carbon emissions. This requires enterprises and organizations to establish an effective carbon data management platform in order to effectively monitor and manage their carbon emission data.
[0003] At present, the scale of enterprise development is gradually expanding, but the collection and management methods of carbon emission data are still relatively traditional, and the collection and processing of carbon emission data of a considerable number of enterprises still requires a lot of manpower and material resources. As the country pays more and more attention to corporate carbon emission management, enterprises need to achieve more accurate and efficient carbon emission data management. Summary of the invention
[0004] In view of the deficiencies in the prior art, the present invention provides a carbon data management system and method thereof, which solves the problem that the existing enterprise carbon data management method lags far behind the speed of development scale expansion, faces a large number of equipment, complicated processes and low efficiency of carbon data management method, consumes a lot of manpower, and is difficult to meet the existing enterprise management informationization and efficiency needs.
[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a carbon data management system and method thereof, including a basic information module, an accounting configuration module, a data association module, a content maintenance module, an automatic collection module, a data reporting module, a visual analysis module and a report generation module;
[0006] The basic information module is used to configure basic enterprise information, product information, parameter factor library and equipment information;
[0007] The accounting configuration module is used to establish boundaries for enterprise carbon data management, including legal entity boundaries, process boundaries and emission plans.
[0008] The data association module builds the association relationship between materials, processes and production facility data based on the basic information module and the accounting configuration module;
[0009] The content maintenance module is used to add, delete and modify the content of the basic information module, the accounting configuration module and the data association module, and to form a content maintenance record;
[0010] The automated collection module includes two parts: a data quality control scheme and a data information processing section. The data quality control scheme is used for monitoring / collection equipment management and data collection rules. The data information processing section summarizes the carbon data collected by the monitoring / collection equipment and submits the carbon data after checking that it is correct.
[0011] The data reporting module receives data from the automatic collection module and reports data from three dimensions: legal person, process and production facility according to the data association relationship;
[0012] The visualization analysis module calculates and predicts the carbon data reported by the digital reporting module from three dimensions: legal person, process and production facility, and displays the corresponding results in real time. At the same time, the module sets up an enterprise carbon emission early warning function, monitors based on the enterprise's annual carbon emission plan, and issues early warnings based on the carbon data calculation results.
[0013] The report generation module is used to create and query reports and submit supporting materials based on time dimension and carbon data dimension conditions.
[0014] Preferably, the basic information module is also used to configure the enterprise's carbon emission activity types and related activity level data.
[0015] Preferably, the accounting configuration module also includes carbon emission coefficient settings for different types of energy.
[0016] Preferably, the data association module can verify the validity of the association relationship and provide error prompts.
[0017] Preferably, the maintenance operation of the content maintenance module needs to go through an authorization and approval process.
[0018] Preferably, the data quality control scheme of the automated acquisition module further includes a data accuracy assessment unit and a data missing processing unit.
[0019] A carbon data management method comprises the following steps:
[0020] Step 1: Configure the basic information of the enterprise carbon data management system, including basic enterprise information, product information, carbon emission parameter factor library, monitoring equipment, and production facilities;
[0021] Step 2: Determine the enterprise carbon data accounting boundaries, including legal person and process boundaries;
[0022] Step 3: Based on the basic information module and the accounting configuration module, the three dimensions of materials, process activities, and production facility activities are associated to build a complete enterprise carbon emission data relationship;
[0023] Step 4: Automated monitoring equipment collects data, uploads data periodically, and reports data according to the enterprise carbon emission data relationship, while periodically updating the measured values of emission factors;
[0024] Step 5: Visualize and calculate the carbon data of the enterprise. Calculate and analyze the carbon data from three dimensions: corporate legal person, process, and production facilities, and display it in real time to finally form an enterprise carbon data management report.
[0025] The present invention provides a carbon data management system and method thereof, which has the following beneficial effects:
[0026] 1. The present invention covers multiple carbon data-related aspects of materials, processes, equipment, and emission factors in an enterprise's production activities, achieving full data collection coverage and being able to accurately and comprehensively cover the enterprise's carbon data.
[0027] 2. The present invention can enable enterprises to realize automatic collection and analysis of carbon data, greatly reducing the involvement of human factors, effectively improving the efficiency of enterprise carbon data management and reducing management costs.
[0028] 3. The present invention uses real-time visual analysis to intuitively and timely display the carbon data of enterprises, which helps enterprises to manage carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] Figure 1 is a system architecture diagram of the present invention;
[0030] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION
[0031] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0032] Example:
[0033] like Figure 1 As shown, a carbon data management system of the present invention includes a basic information module, an accounting configuration module, a data association module, a content maintenance module, an automatic collection module, a data reporting module, a visual analysis module, and a report generation module;
[0034] The basic information module is used to configure basic enterprise information, product information, parameter factor library, and equipment information. The basic enterprise information includes legal person information, industry classification and product name, and carbon data reporting information. Product information includes the name, type, specification, and origin of the company's main output products. The parameter factor library is a factor library for calculating carbon data, including two categories: measured value and default value. Equipment information includes two categories: monitoring equipment and production facilities, including equipment type, name, location, grouping / grouping, etc. The basic information module is also used to configure the company's carbon emission activity types and related activity level data. For a large manufacturing company, its carbon emission activity types are configured to include energy combustion in the production process (such as the combustion of coke used in furnaces), chemical reactions (such as chemical reactions in the electroplating process), and raw material processing (such as steel forging). In terms of related activity level data, the monthly coke usage is recorded as 20 tons, the input of electroplating solution is 5 cubic meters, and the monthly output of forged steel is 100 tons. Through these detailed data, the carbon emissions of enterprises in the production process can be calculated and analyzed more accurately;
[0035] The accounting configuration module is used to set boundaries for enterprise carbon data monitoring, involving two sections: legal person boundary and process boundary. The legal person boundary is limited to the scope of carbon data collection in the production process under the legal person enterprise, mainly involving material types and related information, including material name, unit, code, material type, and material type. The process boundary definition needs to define the specific production links corresponding to carbon data collection, including process name, process production capacity, process level, process type (main process, sub-process, cycle process, etc.). The accounting configuration module also includes carbon emission coefficient settings for different types of energy. For an enterprise with diversified energy consumption, carbon emission coefficients for different types of energy are set. For example, the carbon emission coefficient of coal is 0.75 kg of carbon dioxide / kg of standard coal, the carbon emission coefficient of natural gas is 0.19 kg of carbon dioxide / cubic meter, and the carbon emission coefficient of electricity is set to 0.8 kg of carbon dioxide / kWh, 0.01 kg of carbon dioxide / kWh, and 0 kg of carbon dioxide / kWh according to its source (such as thermal power, hydropower, wind power, etc.). By accurately setting these coefficients, the company's carbon emissions can be accurately calculated based on its use of various energy sources.
[0036] The data association module builds a complete enterprise carbon data relationship based on the basic information module and the accounting configuration module, and associates relationships around the three dimensions of materials, processes, and production facilities. Among them, the material relationship association includes the construction of material group relationships (such as raw materials-coal and waste-coal slag), material emission factor association, material and process relationship, and corresponding data reports; process relationship association includes process level association, production facility association, material and boundary product association; facility relationship association includes the association between facilities and materials and processes. The data association module can verify the validity of the association relationship and provide error prompts. When the input amount of a certain chemical raw material is recorded in the basic information module, and the carbon emission calculation method of the raw material in a specific production process is set in the accounting configuration module, the data association module can verify whether the association between the two is valid. If it is found that there is a large deviation between the raw material input amount recorded in the basic information and the expected usage in the accounting configuration, an error prompt will be given to remind the staff to verify and correct it to ensure the accuracy and consistency of the data.
[0037] The content maintenance module can add, delete, and modify the content of the basic information module, accounting configuration module, and data association module, and generate content maintenance records. The maintenance operations of the content maintenance module must go through the authorization and approval process. When it is necessary to modify the basic information of a production base, such as updating equipment information, the maintenance operation must first be applied for by the person in charge of the base, detailing the reasons and content of the modification. Then, the application is submitted to the relevant departments of the group headquarters for approval. Only after approval can the corresponding modification operations be performed and a detailed content maintenance record be formed, including the time of modification, operator, specific content before and after the modification, etc.;
[0038] The automated collection module includes two parts: a data quality control solution and data information processing. The data quality control solution is used for monitoring / collection equipment management and data collection rules. The rules collect carbon data according to a certain period. The data information processing part summarizes the carbon data collected by the monitoring / collection equipment and submits the carbon data after verification. The material / process / production facility monitoring data is reported in different time periods of day, month and year. In addition, the monitoring of measured emission factors is carried out in an annual cycle. The data quality control solution of the automated collection module also includes a data accuracy assessment unit and a data missing processing unit. The data accuracy assessment unit compares and analyzes the collected data with historical data and sets a reasonable deviation range. If the newly collected data exceeds the deviation range, it will be marked as suspicious data and further verified. When the data missing in a certain time period is found to be missing, the data missing processing unit will use the data of adjacent time periods for interpolation estimation, or predict and fill in according to relevant mathematical models to ensure the integrity and continuity of the data.
[0039] The data reporting module receives data from the automatic collection module and reports data according to the unit time of day / month / year. The categories are legal person data reporting, process activity reporting and production facility activity reporting. Among them, the legal person activity reporting is based on the material type as the reporting standard, which can be divided into fossil fuel combustion emissions (solid fuel, liquid fuel, gas fuel), industrial production process emissions (solvents, purchased carbon-containing raw materials, electrodes, etc.), electricity emissions (net purchased electricity, net purchased heat, implicit emissions of carbon fixation products) and other data; the process activity reporting is based on the main process type as the reporting standard, involving product output, fossil fuel emissions, electricity emissions, and heat emissions data; the production facility activity reporting is based on the basic process type as the reporting standard, involving production facility capacity, fossil fuel emissions, electricity emissions, and heat emissions data.
[0040] The visualization analysis module includes, for the carbon data reported by the digital reporting module, the enterprise carbon data accounting, accounting and analysis according to the three dimensions of legal person, process, and production facility. Among them, the legal person dimension includes the total carbon emissions, accounting boundary emission details, carbon flow diagram, carbon emission proportion, carbon emission trend and other sections; the process dimension includes process emission proportion, process emission intensity, total material consumption, process trend, etc.; the production facility dimension includes facility capacity, material consumption statistics, emission trend, etc.; at the same time, according to the enterprise's annual carbon emission plan, based on the enterprise's carbon data accounting results, real-time monitoring and early warning are carried out.
[0041] The report generation module provides report generation function and supporting material uploading function. The report generation function automatically generates periodic summary reports based on the enterprise carbon emission data accounting and analysis results. The supporting material uploading function is used to upload non-collected and reported data of the enterprise carbon data management system, such as carbon emission parameter factor library data.
[0042] like Figure 2 As shown, a method for carbon data management comprises the following steps:
[0043] Step 1: Configure the basic information of the enterprise carbon data management system, including basic enterprise information, product information, carbon emission parameter factor library, monitoring equipment, and production facilities.
[0044] Step 2: Determine the enterprise carbon data accounting boundaries, including legal person and process boundaries;
[0045] Step 3: Based on the basic information module and the accounting configuration module, the three dimensions of material activities, process activities, and production facility activities are associated to build a complete enterprise carbon emission data relationship;
[0046] Step 4: Automated monitoring equipment collects data, uploads data periodically, and reports data according to the enterprise carbon emission data relationship, while periodically updating the measured values of emission factors;
[0047] Step 5: Visualize and calculate the carbon data of the enterprise, calculate and analyze the carbon data from three dimensions: corporate legal person, process and production facilities, and display it in real time to finally form an enterprise carbon data management report.
[0048] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A carbon data management system, characterized in that: include: Basic information module, accounting configuration module, data association module, content maintenance module, automatic collection module, data reporting module, visual analysis module and report generation module; The basic information module is used to configure basic enterprise information, product information, parameter factor library and equipment information; The accounting configuration module is used to establish boundaries for enterprise carbon data management, including legal person boundaries, process boundaries and emission plans; The data association module builds the association relationship between materials, processes and production facility data based on the basic information module and the accounting configuration module; The content maintenance module is used to add, delete and modify the content of the basic information module, the accounting configuration module and the data association module, and to form a content maintenance record; The automated collection module includes two parts: a data quality control scheme and a data information processing section. The data quality control scheme is used for monitoring / collection equipment management and data collection rules. The data information processing section summarizes the carbon data collected by the monitoring / collection equipment and submits the carbon data after checking that it is correct. The data reporting module receives data from the automatic collection module and reports data from three dimensions: legal person, process and production facility according to the data association relationship; The visualization analysis module calculates and predicts the carbon data reported by the digital reporting module from three dimensions: legal person, process and production facility, and displays the corresponding results in real-time visualization. At the same time, the module sets up an enterprise carbon emission early warning function, monitors based on the enterprise's annual carbon emission plan, and issues early warnings based on the carbon data calculation results; The report generation module is used to create and query reports and submit supporting materials based on time dimension and carbon data dimension conditions.
2. A carbon data management system according to claim 1, characterized in that: The basic information module is also used to configure the enterprise's carbon emission activity types and related activity level data.
3. A carbon data management system according to claim 1, characterized in that: The accounting configuration module also includes carbon emission coefficient settings for different types of energy.
4. A carbon data management system according to claim 1, characterized in that: The data association module can verify the validity of the association relationship and provide error prompts.
5. A carbon data management system according to claim 1, characterized in that: The maintenance operations of the content maintenance module must go through the authorization and approval process.
6. A carbon data management system according to claim 1, characterized in that: The data quality control scheme of the automated acquisition module also includes a data accuracy assessment unit and a data missing processing unit.
7. A carbon data management method, according to a carbon data management system according to any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: Configure the basic information of the enterprise carbon data management system, including basic enterprise information, product information, carbon emission parameter factor library, monitoring equipment, and production facilities; Step 2: Determine the enterprise carbon data accounting boundaries, including legal person and process boundaries; Step 3: Based on the basic information module and the accounting configuration module, the three dimensions of materials, process activities, and production facility activities are associated to build a complete enterprise carbon emission data relationship; Step 4: Automated monitoring equipment collects data, uploads data periodically, and reports data according to the enterprise carbon emission data relationship, while periodically updating the measured values of emission factors; Step 5: Visualize and calculate the carbon data of the enterprise, calculate and analyze the carbon data from three dimensions: corporate legal person, process and production facilities, and display it in real time to finally form an enterprise carbon data management report.