Energy carbon automatic accounting system

Abstract

The invention discloses an energy carbon automatic accounting system. The method aims at automatically collecting and processing energy consumption, production process, raw material use and carbon emission data of enterprises through the means of the Internet of Things technology, the industrial AI technology, the big data technology and the like, and accurate accounting and dynamic optimization of carbon emission are achieved. The system comprises five modules: an energy management module, a carbon emission correction module, a carbon footprint analysis module, an optimization and control module and a data management and report module. Through standardized carbon emission calculation, real-time correction and dynamic adjustment of external environment factors, the system can provide accurate carbon emission data for enterprises and generate energy-saving and carbon-reducing optimization suggestions. The carbon footprint analysis module calculates carbon emission based on product full life cycle data, and helps enterprises to identify and optimize high carbon emission links. And an optimization and control module of the system provides a production process optimization strategy according to an analysis result, so that enterprises are effectively promoted to realize low-carbon transformation.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission accounting and management, and specifically to an energy-carbon automatic accounting system. Background Art

[0002] To strengthen carbon emission monitoring and promote the implementation of low-carbon economy. However, there are problems such as complex carbon emission accounting processes, difficult data collection, and low calculation accuracy, lacking efficient and accurate system tools for real-time monitoring and optimizing carbon emissions.

[0003] To address this challenge, enterprises urgently need to adopt digital transformation means. By integrating advanced technologies such as the Internet of Things, big data, and artificial intelligence, improve the efficiency and accuracy of energy management and carbon emission management, and then help enterprises achieve carbon emission reduction goals and meet the requirements of green and low-carbon development;

[0004] Therefore, we propose an energy-carbon automatic accounting system. Summary of the Invention

[0005] The purpose of the present invention is to provide an energy-carbon automatic accounting system, which has the advantages of automatic carbon emission accounting, real-time data collection, precise correction, and dynamic optimization, and solves the problems of cumbersome traditional carbon emission accounting methods, inaccurate calculations, and difficulty in adapting to the actual production environment. Through this system, enterprises can monitor carbon emission data in real time, generate optimization suggestions based on the carbon footprint analysis of the whole life cycle, promote energy conservation and carbon reduction, and achieve green and low-carbon transformation.

[0006] This system integrates means such as Internet of Things technology, industrial AI, and big data technology, and automatically collects, processes, and analyzes energy consumption, production process, and emission data around aspects such as the energy management, manufacturing process, and product carbon footprint of enterprises, realizing accurate accounting, optimized control, and report generation of carbon emissions.

[0007] An energy-carbon automatic accounting system, characterized in that this system is constructed around the efficiency management system of manufacturing enterprises through means of Internet of Things technology, industrial AI, and big data technology, and includes the following modules:

[0008] S1. Energy management module: This module is responsible for real-time collecting and processing enterprise energy consumption data, including electricity, natural gas, and heat, and calculating preliminary carbon emission data based on ISO14064 and ISO14067 standards; the energy management module ensures the accurate collection and processing of energy consumption data, providing accurate basic data for subsequent carbon emission analysis;

[0009] S2. Carbon emission correction module: The carbon emission correction module corrects the preliminary carbon emission data through external environmental data, and uses dynamic correction factors to improve the accuracy of carbon emission calculations. This module ensures that the impact of external conditions on carbon emission data is considered and adjusted in a timely manner;

[0010] S3. Carbon Footprint Analysis Module: This module combines the full life cycle data of products to calculate the carbon footprint of each product; through weighted calculation, it synthesizes the carbon emissions in each production stage, outputs the final product carbon footprint report, and provides data support for optimization measures.

[0011] S4. Optimization and Control Module: The optimization and control module proposes energy-saving and carbon reduction optimization strategies based on the carbon footprint analysis results, and adjusts the production process in real time to help enterprises achieve green and low-carbon transformation; the main function of this module is to generate optimization suggestions based on the carbon emission monitoring results, and promote energy conservation and carbon emission reduction in the production process.

[0012] S5. Data Management and Reporting Module: The data management and reporting module is responsible for the storage, management, and display of all data in the system; through visual charts and multi-dimensional report forms, it provides a comprehensive display of the enterprise's carbon emissions and energy usage, helping enterprises, management, and government departments to view and make decisions.

[0013] Preferably, the energy management module further includes:

[0014] S11. Data Acquisition and Transmission Sub-module:

[0015] This sub-module uses Internet of Things technology to collect the enterprise's energy consumption data in real time, including electricity, natural gas, and heat, and transmits this data to the system's database to provide accurate raw data for subsequent calculations.

[0016] S12. Preliminary Carbon Emission Calculation Sub-module:

[0017] Using the collected energy consumption data, preliminary carbon emission calculations are performed using carbon emission factors. The calculation formula is as follows: Where E i is the consumption of the i-th type of energy; F i is the carbon emission factor of this energy; M j and P k represent the usage and emissions of raw materials and pollutants respectively;

[0018] Finally, the output data: preliminary carbon emission data;

[0019] S13. Data Standardization Processing Sub-module:

[0020] Perform range standardization processing on the calculated carbon emission data to ensure that different types of energy consumption data can be compared on a unified scale. The standardization formula is as follows:

[0021]

[0022] Final output data: Standardized carbon emission data for subsequent correction and analysis.

[0023] Preferably, the carbon emission correction module further includes:

[0024] S21. External environment data collection sub-module:

[0025] Collect temperature, humidity, and production process parameter data through external sensors or system interfaces and transfer them to the correction module.

[0026] S22. Carbon emission correction calculation sub-module:

[0027] Correct the preliminary carbon emission data according to the external environment data and correction factors (such as a 5% increase in carbon emissions when the temperature rises). The calculation formula is as follows:

[0028] C cmission adjusted = C cmissionin itial × (1 + A), where A is the correction factor calculated based on external conditions such as temperature and humidity;

[0029] Final output data: Corrected carbon emission data.

[0030] Preferably, the carbon footprint analysis module further includes:

[0031] S31. Life cycle data collection sub-module:

[0032] This sub-module collects carbon emission data throughout the product life cycle from the enterprise production management system, including raw material procurement, production manufacturing, and transportation links.

[0033] S32. Product carbon footprint calculation sub-module:

[0034] Combine the carbon emission data of each production stage and calculate the total carbon footprint of the product according to weighted calculation. The calculation formula is as follows: where C cmission (k) is the carbon emission in the k-th stage, and W k is the weight of the influence of this stage based on carbon emissions;

[0035] Final output data: Product carbon footprint;

[0036] S33. Carbon footprint report generation sub-module:

[0037] Generate a complete carbon footprint report based on the carbon footprint calculation results and provide data support for subsequent optimization measures.

[0038] Final output data: Carbon footprint report, including energy conservation and carbon reduction optimization suggestions

[0039] Preferably, the optimization and control module further includes:

[0040] S41. Energy-saving optimization suggestion generation sub-module:

[0041] Generate energy-saving optimization suggestions based on the carbon emission data output by the carbon footprint analysis module, including power usage optimization and production scheduling adjustment measures for production links with high carbon emissions;

[0042] S42. Carbon emission reduction optimization strategy formulation sub-module:

[0043] Formulate specific carbon emission reduction optimization strategies by combining the corrected carbon emission data and production process data, including adjusting the process flow and improving equipment usage;

[0044] Final output data: Carbon emission reduction optimization strategies and energy-saving solutions;

[0045] S43. Real-time monitoring and adjustment sub-module:

[0046] Real-time monitor the implementation of energy-saving and carbon emission reduction measures, and dynamically adjust the optimization strategies according to the monitoring results;

[0047] Final output data: Adjusted energy-saving and carbon emission reduction strategies, execution result feedback.

[0048] Preferably, the data management and reporting module further includes:

[0049] S51. Data storage and management sub-module:

[0050] This module is responsible for the storage and management of all data, including energy consumption, carbon emission data, and production process data; all data needs to ensure storage security and traceability.

[0051] S52. Carbon emission report generation sub-module:

[0052] Automatically generate a carbon emission report based on all carbon emission data, and display it in the form of charts and data tables;

[0053] S53. Visualization display sub-module:

[0054] Display the enterprise's carbon emission situation, energy usage situation, and the implementation effect of energy-saving and carbon emission reduction through visualization charts and 3D models;

[0055] Final output data: Carbon emission report, visualization charts, 3D model multi-dimensional report.

[0056] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0057] 1. Comprehensive integration, automated calculation:

[0058] Through the integration of multiple technical means (Internet of Things, big data, industrial AI), the present invention automatically collects data such as a company's energy consumption, raw material usage, and pollutant emissions, and conducts carbon emission accounting according to the ISO14064 and ISO14067 standards, avoiding manual operations and data errors, and improving the efficiency and accuracy of carbon emission accounting.

[0059] 2. Precise correction and dynamic optimization:

[0060] Through the carbon emission correction module, the present invention makes real-time corrections to the preliminary carbon emission data according to external environmental data (temperature, humidity), and provides dynamic adjustments in combination with production process optimization strategies, ensuring the accuracy and timeliness of carbon emission data.

[0061] 3. Product carbon footprint analysis:

[0062] Through the analysis of carbon emission data throughout the product life cycle, the present invention provides accurate calculations of the product carbon footprint, helps companies identify high-carbon emission links and provides optimization solutions, and supports the design and promotion of green products.

[0063] 4. Intelligent optimization, energy conservation and carbon reduction:

[0064] The system generates energy-saving optimization suggestions based on carbon footprint analysis and corrected carbon emission data, helps companies reduce carbon emissions while ensuring production efficiency, and promotes the realization of low-carbon manufacturing.

[0065] 5. Multi-dimensional reporting and visual display:

[0066] The system displays a company's carbon emission data through visual charts, 3D models, etc., facilitating viewing and decision-making by relevant parties such as companies, management, and government departments, and promoting the realization of low-carbon development goals. Description of the Drawings

[0067] Figure 1 It is the overall architecture diagram of the system.

[0068] Figure 2 It is the architecture diagram of the energy management module.

[0069] Figure 3 It is the architecture diagram of the carbon emission correction module.

[0070] Figure 4 It is the architecture diagram of the carbon footprint analysis module.

[0071] Figure 5 It is the architecture diagram of the optimization and control module.

[0072] Figure 6 It is the architecture diagram of the data management and reporting module. Detailed Implementation Modes

[0073] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0074] Please refer to Figures 1 - 6 , the present invention provides a technical solution: an energy-carbon automatic accounting system, including the following modules:

[0075] S1. Energy management module

[0076] Function description:

[0077] The energy management module is the basic part of the energy-carbon automatic accounting system, responsible for real-time collection and processing of the enterprise's energy consumption data, including electricity, natural gas, heat, etc. These data will be used as the input data for subsequent carbon emission calculations, ensuring that the system can monitor the enterprise's energy consumption in real time and provide accurate data for calculating carbon emissions.

[0078] S11. Data collection and transmission sub-module:

[0079] This sub-module real-time collects the enterprise's energy consumption data through Internet of Things devices (such as smart meters, gas sensors, etc.), including:

[0080] Electricity consumption (kilowatt-hours, kWh)

[0081] Natural gas consumption (cubic meters, m 3 )

[0082] The heat energy consumption (tons, t) data is transmitted to the system's database through a wireless sensor network for subsequent processing. In this way, the system can obtain accurate real-time data at any time, ensuring data timeliness and accuracy.

[0083] S12. Preliminary carbon emission calculation sub-module:

[0084] Based on the collected energy consumption data, preliminary carbon emission calculations are performed using carbon emission factors. The carbon emission factor is the amount of carbon dioxide emissions corresponding to each unit of energy consumption. For example, 1 kilowatt-hour of electricity consumption may generate 0.8 kilograms of carbon dioxide. This module calculates according to the following formula: Where E i is the consumption of the i-th type of energy; F i is the carbon emission factor of this energy; M j and P k respectively represent the usage amount and emission amount of raw materials and pollutants; F k: Carbon emission factor of the k-th type of pollutant, i.e., the amount of carbon dioxide emissions corresponding to each unit of pollutant emission (unit: ton CO 2 / ton); F i : Carbon emission factor of the j-th type of raw material, i.e., the amount of carbon dioxide emissions corresponding to each unit of raw material use (unit: ton CO 2 / ton)

[0085] S13. Data standardization sub-module:

[0086] Among different types of energy consumption data, due to different units and dimensions, standardization processing is required to facilitate subsequent comparison and analysis. The range standardization method normalizes the minimum and maximum values of the data to ensure that data of different energy types can be compared under the same standard: This can map all carbon emission data to a unified scale, facilitating the processing of subsequent modules.

[0087] Output data:

[0088] Preliminary carbon emission data (ton CO 2 )

[0089] Standardized carbon emission data for subsequent correction and analysis.

[0090] S2. Carbon emission correction module

[0091] Function description: The role of the carbon emission correction module is to correct the preliminary carbon emission data according to external environmental data (such as temperature, humidity, production process parameters, etc.). Since changes in the production environment will affect energy consumption and carbon emissions, the correction module ensures the accuracy of carbon emission data.

[0092] S21. External environmental data acquisition sub-module:

[0093] This sub-module collects environmental data (such as temperature, humidity, air pressure, etc.) in real time through meteorological sensors and production process control systems, and transmits this data to the correction module. For example, when the temperature is high, more energy may be required in the production process, resulting in an increase in carbon emissions.

[0094] S22. Carbon emission correction calculation sub-module:

[0095] Correct the preliminary carbon emission data according to the environmental data and correction factors (such as when the temperature rises by 5°C, the carbon emissions increase by 10%). The correction calculation formula is as follows:

[0096] C cmission adjusted =C cmissionin itial ×(1 + A), where C cmissioninitial : Preliminary carbon emission data (output from the aforementioned algorithm);

[0097] A: Correction factor, calculated based on external conditions such as temperature, humidity, etc., reflecting the impact of the external environment on carbon emissions;

[0098] Output data:

[0099] Corrected carbon emission data (tons of CO 2 )

[0100] S3. Carbon footprint analysis module

[0101] Function description:

[0102] The role of the carbon footprint analysis module is to calculate the carbon emissions throughout the life cycle of each product and generate a carbon footprint report for the product. Through weighted calculation, the carbon emissions of each production stage are integrated, and the final carbon footprint data is output, providing data support for optimization measures.

[0103] S31. Life cycle data collection sub-module:

[0104] This sub-module collects carbon emission data for the entire process of a product from raw material procurement to transportation through the enterprise production management system (such as the MES system), and constructs a complete life cycle carbon emission data file.

[0105] S32. Product carbon footprint calculation sub-module:

[0106] Combining the carbon emission data of each production stage and based on weighted calculation, the total carbon footprint of the product is obtained. The weighted calculation formula is as follows: Where C cmission (k) is the carbon emission in the k-th stage (tons of CO 2 ), such as raw material procurement, production manufacturing, transportation, etc., and W k is the weight of the k-th stage (based on the impact degree of this stage on the total carbon emissions);

[0107] Final output data: Product carbon footprint;

[0108] Output data:

[0109] Product carbon footprint (tons of CO 2 )

[0110] S4. Optimization and control module

[0111] Function description:

[0112] Based on the results of carbon footprint analysis, the optimization and control module proposes energy-saving and carbon-reduction optimization strategies, adjusts the production process in real time, and helps enterprises achieve green and low-carbon transformation. The optimization module generates optimization suggestions based on the results of carbon emission monitoring to promote energy conservation and carbon emission reduction in the production process.

[0113] S41. Energy-saving optimization suggestion generation sub-module:

[0114] Based on the results of carbon footprint analysis, this module can provide enterprises with energy-saving optimization suggestions, such as how to adjust production scheduling and optimize equipment usage to reduce energy consumption.

[0115] S42. Carbon-reduction optimization strategy formulation sub-module:

[0116] According to the corrected carbon emission data and production process data, specific carbon-reduction optimization strategies are formulated, such as adjusting the production process and reducing emissions in high-carbon links.

[0117] S43. Real-time monitoring and adjustment sub-module:

[0118] Real-time monitor the implementation of energy-saving and carbon-reduction measures, and dynamically adjust the optimization strategy according to the monitoring results to ensure the continuous effectiveness of the optimization measures.

[0119] Output data:

[0120] Carbon-reduction optimization strategy and energy-saving plan

[0121] Adjusted energy-saving and carbon-reduction strategies, feedback on implementation results.

[0122] S5. Data management and reporting module

[0123] Function description:

[0124] The data management and reporting module is responsible for the storage, management, and display of all data in the system. Through visual charts and reports, it shows information such as the carbon emissions, energy consumption, and energy-saving and carbon-reduction effects of the enterprise to relevant parties such as management and government departments, facilitating decision-making.

[0125] S51. Data storage and management sub-module:

[0126] This sub-module is responsible for the storage and management of all data, including energy consumption, carbon emission data, production process data, etc., to ensure the security and traceability of the data.

[0127] S52. Carbon emission report generation sub-module:

[0128] Based on all carbon emission data, an automatic carbon emission report is generated and displayed in the form of charts, data tables, etc., providing reference for management and government departments.

[0129] S53. Visualization and Display Sub-module:

[0130] Visualize data such as the enterprise's carbon emissions and energy usage through visual charts, 3D models, etc., facilitating viewing and decision-making by the enterprise's internal management, external regulatory agencies, etc.

[0131] Output data: Carbon emission reports, visual charts, 3D model multi-dimensional reports.

[0132] Through the cooperation of the five main modules of the present invention, the specific steps and algorithm implementations of each module ensure the accurate accounting, optimized control, and efficient management of carbon emissions. Through this structured design, the energy-carbon automatic accounting system can help enterprises achieve low-carbon transformation and promote green development.

[0133] Example 1: Carbon Emission Accounting and Optimization for Traditional Manufacturing

[0134] With the increasingly strict global environmental protection regulations, traditional manufacturing industries are facing great pressure in carbon emission monitoring and energy conservation and carbon reduction. To address this challenge, the technical objective of this example is to help traditional manufacturing industries accurately calculate carbon emissions, real-time correct emission data, and provide effective energy-saving optimization solutions through the energy-carbon automatic accounting system.

[0135] Achieve accurate accounting and correction of carbon emissions by introducing Internet of Things technology and dynamic correction algorithms.

[0136] Applied to high-energy-consuming traditional manufacturing industries such as steel and chemical industries.

[0137] Implementation process:

[0138] Data collection: Real-time collect the enterprise's electricity, natural gas, and heat consumption data through Internet of Things sensors.

[0139] Carbon emission correction: Real-time correct the carbon emission data in combination with the external environment (such as temperature and humidity).

[0140] Carbon footprint analysis and optimization: Calculate the life-cycle carbon footprint and generate an energy-saving optimization report.

[0141] Implementation results:

[0142]

[0143] Example 2: Carbon Emission Management and Compliance for Export-oriented Manufacturing Enterprises

[0144] With the introduction of the Carbon Border Adjustment Mechanism (CBAM), export-oriented manufacturing enterprises are facing strict carbon emission monitoring and reporting requirements. The technical objective of this embodiment is to help enterprises accurately calculate carbon emissions through an energy-carbon automatic accounting system and generate carbon emission reports that meet the requirements of CBAM, so as to smoothly enter the international market.

[0145] Automatically generate carbon emission reports that meet the requirements of CBAM and monitor carbon emission situations in real time to help enterprises comply with regulations.

[0146] Applied to export-oriented manufacturing enterprises, especially those affected by green trade barriers, such as the electronics manufacturing, automotive, and home appliance industries.

[0147] Implementation process:

[0148] Carbon emission accounting: Collect energy consumption data and automatically generate preliminary carbon emission data.

[0149] External environment correction: Correct carbon emission data in combination with the external environment (temperature, humidity).

[0150] Report generation and compliance check: Automatically generate carbon emission reports that meet the requirements of CBAM to ensure the compliance of enterprises' carbon emissions.

[0151] Implementation results:

[0152]

[0153]

[0154] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic energy and carbon accounting system, characterized by: The system is built around the efficiency management system of manufacturing enterprises through the Internet of Things technology, industrial AI, and big data technology, and includes the following modules: S1. Energy management module: This module is responsible for real-time collection and processing of enterprise energy consumption data, including electricity, natural gas, and heat, and calculates preliminary carbon emission data based on ISO14064 and ISO14067 standards. The energy management module ensures accurate collection and processing of energy consumption data, providing accurate basic data for subsequent carbon emission analysis. S2. Carbon emission correction module: The carbon emission correction module corrects the preliminary carbon emission data through external environmental data and uses dynamic correction factors to improve the accuracy of carbon emission calculations; this module ensures that the impact of external conditions on carbon emission data is considered and adjusted in a timely manner; S3, Carbon footprint analysis module: This module combines the product's full life cycle data to calculate the carbon footprint of each product; Through weighted calculation, the carbon emissions of each production stage are integrated to output the final product carbon footprint report and provide data support for optimization measures; S4, Optimization and Control Module: The optimization and control module proposes energy-saving and carbon reduction optimization strategies based on the carbon footprint analysis results, adjusts the production process in real time, and helps enterprises achieve green and low-carbon transformation; the main function of this module is to generate optimization suggestions based on carbon emission monitoring results to promote energy conservation and carbon emission reduction in the production process; S5. Data management and reporting module: The data management and reporting module is responsible for the storage, management and display of all data in the system; it provides a comprehensive display of corporate carbon emissions and energy usage through visual charts and multi-dimensional reports, helping enterprises, management and government departments to view and make decisions.

2. The automatic energy and carbon accounting system according to claim 1 is characterized by: The energy management module further comprises: S11. Data acquisition and transmission submodule: This submodule collects the enterprise's energy consumption data in real time through the Internet of Things technology, including electricity, natural gas, and heat, and transmits these data to the system's database to provide accurate raw data for subsequent calculations; S12. Preliminary carbon emission calculation submodule: Based on the collected energy consumption data, the carbon emission factor is used to perform a preliminary carbon emission calculation. The calculation formula is as follows: Where E i The consumption of the i-th energy source; F i is the carbon emission factor of the energy; M j and P k to represent the usage and emission of raw materials and pollutants respectively; Final output data: preliminary carbon emission data; S13. Data standardization processing submodule: The calculated carbon emission data is subjected to range standardization to ensure that different types of energy consumption data can be compared on a unified scale. The standardization formula is as follows: Final output data: standardized carbon emission data for subsequent correction and analysis.

3. The automatic energy and carbon accounting system according to claim 1 is characterized by: The carbon emission correction module further comprises: S21. External environment data collection submodule: Collect temperature, humidity, and production process parameter data through external sensors or system interfaces and transmit them to the correction module; S22. Carbon emission correction calculation submodule: According to the external environmental data and correction factors (such as carbon emissions increase by 5% when the temperature rises), the preliminary carbon emission data is corrected. The calculation formula is as follows: C cmissionadjusted =C cmissioninitial ×(1+A), where A is a correction factor, calculated based on external conditions such as temperature and humidity; Final output data: corrected carbon emissions data.

4. The automatic energy and carbon accounting system according to claim 1 is characterized by: The carbon footprint analysis module further comprises: S31. Life cycle data collection submodule: This submodule collects carbon emission data of the entire product life cycle from the enterprise production management system, including raw material procurement, production and transportation; S32. Product carbon footprint calculation submodule: Combining the carbon emission data of each production stage and using weighted calculations, the total carbon footprint of the product is calculated using the following formula: Among them C cmission (k) is the carbon emission in the kth stage, W k is the weight of the impact based on carbon emissions at this stage; Final output data: product carbon footprint; S33. Carbon footprint report generation submodule: Generate a complete carbon footprint report based on the carbon footprint calculation results and provide data support for subsequent optimization measures; Final output data: Carbon footprint report, including energy saving and carbon reduction optimization suggestions.

5. The automatic energy and carbon accounting system according to claim 1 is characterized by: The optimization and control module further includes: S41. Energy-saving optimization suggestion generation submodule: Generate energy-saving optimization suggestions based on the carbon emission data output by the carbon footprint analysis module, including electricity usage optimization and production scheduling adjustment measures based on production links with high carbon emissions; S42. Carbon reduction optimization strategy formulation submodule: Combine the revised carbon emission data with the production process data to develop specific carbon reduction optimization strategies, including adjusting the process flow and improving equipment use; Final output data: carbon reduction optimization strategy and energy saving plan; S43. Real-time monitoring and adjustment submodule: Monitor the implementation of energy-saving and carbon-reduction measures in real time, and dynamically adjust optimization strategies based on monitoring results; Final output data: adjusted energy-saving and carbon reduction strategies, and implementation result feedback.

6. The automatic energy and carbon accounting system according to claim 1 is characterized by: The Data Management and Reporting module further includes: S51. Data storage and management submodule: This module is responsible for the storage and management of all data, including energy consumption, carbon emission data, and production process data; all data must ensure storage security and traceability; S52. Carbon emission report generation submodule: Automatically generate carbon emission reports based on all carbon emission data and present them in the form of charts and data tables; S53. Visual display submodule: Display the company's carbon emissions, energy usage, and energy conservation and carbon reduction performance through visual charts and three-dimensional models; Final output data: carbon emission report, visual chart, 3D model multi-dimensional report.

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