Method and system for obtaining carbon footprint based on time sequence energy flow calculation

Abstract

The invention relates to the technical field of carbon footprint acquisition, in particular to a method and system for acquiring a carbon footprint based on time sequence energy flow calculation. Comprising a thermal power generating unit carbon emission modeling module, a data acquisition module, a low-carbon scheduling management module, a carbon emission monitoring management module, an operation scheduling management module, a carbon asset management module, a multi-element energy deviation analysis module and a carbon footprint visualization interaction module. The thermal power generating unit carbon emission modeling module is used for energy flow topology construction and carbon footprint calculation; the operation data of the thermal power generating unit is accurately collected in real time, the timeliness and accuracy of the data are ensured, the carbon emission condition is reflected in real time, the energy flow path is constructed by using the graph theory algorithm, the energy flow data is converted into the carbon emission through the neural network algorithm, and the energy flow and carbon emission change along with time is considered, so that the energy flow and carbon emission detection accuracy is improved. Effective support is provided for dynamic scheduling and management, and the abnormal condition of carbon emission is found and processed in time through a real-time monitoring and early warning mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon footprint acquisition, and in particular to a method and system for acquiring carbon footprint based on time-series energy flow calculation. Background Art

[0002] Carbon footprint usually refers to the total amount of greenhouse gas (mainly carbon dioxide) emissions directly or indirectly generated by a product, service, activity or individual throughout its life cycle. It is an important indicator to measure the impact of human activities on the environment, especially the impact of climate change.

[0003] Traditional carbon footprint calculation methods rely on static data and simplified models. These methods are often based on the following steps:

[0004] Clarify the scope of calculation, including all stages of the product life cycle, collect data related to carbon emissions, such as energy consumption, raw material usage, etc., multiply the collected data with the corresponding emission factors to obtain the carbon emissions of each link, and add up the carbon emissions of each link to obtain the total carbon footprint.

[0005] However, in general, this method often relies on historical data or average data and cannot reflect carbon emissions in real time. Due to the limitations of simplified models and static data, the calculation accuracy of traditional methods is limited, and it is difficult to accurately reflect the actual carbon emissions. It is unable to consider the changes in energy flow and carbon emissions over time, and therefore cannot provide effective support for dynamic scheduling and management. At the same time, this method has a low degree of visualization, and usually presents the calculation results in the form of tables or reports. It lacks intuitive visualization and is not conducive to users' in-depth analysis and decision-making.

[0006] In summary, it is necessary to propose a method and system for obtaining carbon footprint based on time-series energy flow calculation to solve the above problems. Summary of the invention

[0007] The object of the present invention is to provide a method and system for obtaining carbon footprint based on time-series energy flow calculation, so as to solve the problems raised in the above background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A system for obtaining carbon footprint based on time-series energy flow calculation, including a carbon emission modeling module for thermal power units, a data acquisition module, a low-carbon scheduling management module, a carbon emission monitoring management module, an operation scheduling management module, a carbon asset management module, a multi-energy deviation analysis module, and a carbon footprint visualization interaction module;

[0010] The carbon emission modeling module of the thermal power unit is used for energy flow topology construction and carbon footprint calculation;

[0011] The data acquisition module is used for data acquisition and data verification storage;

[0012] The low-carbon scheduling management module is used to provide carbon emission computing power support and optimize scheduling strategies;

[0013] The carbon emission monitoring and management module is used for monitoring early warning and data report generation;

[0014] The operation scheduling management module is used for operation data analysis and scheduling plan execution;

[0015] The carbon asset management module is used for carbon asset accounting and carbon trading strategy formulation;

[0016] The multi-energy deviation analysis module is used for deviation calculation and adjustment suggestions;

[0017] The carbon footprint visualization interactive module is used for three-dimensional visualization and provides interactive analysis.

[0018] Preferably, the carbon emission modeling module of the thermal power unit further includes an energy flow topology construction unit and a carbon footprint calculation unit;

[0019] The energy flow topology construction unit constructs the energy flow path through a graph theory algorithm, clarifies the carbon emission sources in each link, and is used to accurately locate the carbon emission sources;

[0020] The carbon footprint calculation unit uses a neural network algorithm to convert energy flow data into carbon emissions, so as to achieve accurate calculation of the carbon footprint.

[0021] Preferably, the data acquisition module further includes a data acquisition unit and a data verification storage unit;

[0022] The data acquisition unit collects real-time equipment operation data through high-speed data acquisition software, accurate to the minute, to ensure the timeliness and accuracy of the data;

[0023] The data verification storage unit verifies the data using a data verification algorithm and stores the data using a big data storage technology to ensure the integrity and traceability of the data.

[0024] Preferably, the low-carbon scheduling management module further includes a carbon emission computing unit and a scheduling strategy optimization unit;

[0025] The carbon emission computing unit provides computing power support through a carbon emission calculation model to achieve rapid formulation of low-carbon scheduling strategies;

[0026] The scheduling strategy optimization unit optimizes the operation scheduling strategy based on the optimization algorithm to reduce overall carbon emissions and improve energy utilization efficiency.

[0027] Preferably, the carbon emission monitoring and management module further includes a monitoring and early warning unit and a data report generating unit;

[0028] The monitoring and early warning unit monitors carbon emissions in real time through real-time monitoring software, and automatically triggers an early warning mechanism when the carbon emissions exceed the standard, so as to timely detect and handle abnormal carbon emissions;

[0029] The data report generation unit uses report generation software to regularly generate carbon emission data reports for displaying carbon emission conditions and providing a basis for management decisions.

[0030] Preferably, the operation scheduling management module further includes an operation data analysis unit and a scheduling plan execution unit;

[0031] The operation data analysis unit integrates and analyzes the unit operation data through data analysis software to extract valuable information and support scheduling decisions;

[0032] The scheduling plan execution unit utilizes automated control to formulate and execute an operation scheduling plan to ensure that the unit operates according to an optimized strategy.

[0033] Preferably, the carbon asset management module further includes a carbon asset accounting unit and a carbon trading strategy unit;

[0034] The carbon asset accounting unit calculates the total amount of carbon assets of the enterprise through the carbon asset accounting software to clarify the status of carbon assets;

[0035] The carbon trading strategy unit formulates carbon trading strategies based on carbon market prices and carbon asset conditions through strategy formulation software to optimize carbon asset allocation.

[0036] Preferably, the multi-energy deviation analysis module further includes a deviation calculation unit and an adjustment suggestion unit;

[0037] The deviation calculation unit calculates the deviation between the actual carbon emissions and the target value through a deviation analysis algorithm, so as to evaluate the carbon emission control effect;

[0038] The adjustment suggestion unit proposes adjustment suggestions for the production plan based on the deviation calculation results through intelligent optimization software to guide production adjustments and reduce deviations.

[0039] Preferably, the carbon footprint visualization interaction module further includes a three-dimensional visualization unit and an interactive analysis unit;

[0040] The three-dimensional visualization unit uses three-dimensional visualization software to perform three-dimensional display of carbon footprint data to intuitively present the distribution of carbon footprint;

[0041] The interactive analysis unit provides an interactive interface through interactive analysis software, which facilitates users to conduct in-depth analysis of carbon footprint data to support carbon emission management and decision-making.

[0042] Based on the above system, the present invention also proposes a method for obtaining carbon footprint based on time series energy flow calculation, comprising the following steps:

[0043] S1. Initialize the system settings, ensure the normal operation of each functional module, configure the data acquisition system, ensure the timeliness and accuracy of the data, and perform preliminary verification and storage of the collected data;

[0044] S2. Using graph theory algorithms, based on the collected operation data, construct the energy flow path of the thermal power unit, identify the carbon emission sources of each link, input the verified energy flow data into the carbon footprint calculation model, and use the neural network algorithm to convert the energy flow data into carbon emissions;

[0045] S3. Provide carbon emission computing power support based on the carbon footprint calculation results, and optimize the current operation scheduling strategy based on the optimization algorithm;

[0046] S4. Use real-time monitoring software to monitor carbon emissions in real time. Once carbon emissions exceed the standard, the early warning mechanism will be automatically triggered, abnormal situations will be reported and handled in a timely manner, and carbon emission data reports will be generated regularly to display carbon emissions;

[0047] S5. Integrate and analyze the unit operation data, extract valuable information to support scheduling decisions, and formulate and implement operation scheduling plans based on the optimized scheduling strategy;

[0048] S6. Calculate the total amount of carbon assets of the enterprise, clarify the status of carbon assets, and formulate carbon trading strategies based on carbon market prices and carbon asset status;

[0049] S7. Use the deviation analysis algorithm to calculate the deviation between the actual carbon emissions and the target value, evaluate the carbon emission control effect, and propose adjustment suggestions for the production plan based on the deviation calculation results;

[0050] S8. Use 3D visualization software to display carbon footprint data in three dimensions, intuitively present the carbon footprint distribution, and provide an interactive interface to facilitate users to conduct in-depth analysis of carbon footprint data.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention collects the operating data of thermal power units in real time and accurately to ensure the timeliness and accuracy of the data, thereby reflecting the carbon emissions in real time, constructing the energy flow path using graph theory algorithms, clarifying the carbon emission sources in each link, and converting the energy flow data into carbon emissions through a neural network algorithm, taking into account the changes in energy flow and carbon emissions over time, providing effective support for dynamic scheduling and management, and timely discovering and handling abnormal carbon emissions through real-time monitoring and early warning mechanisms. At the same time, the present invention also uses three-dimensional visualization software to display the carbon footprint data in three dimensions, intuitively presents the carbon footprint distribution, and provides an interactive interface to facilitate users to conduct in-depth analysis of the carbon footprint data, support carbon emission management and decision-making, not only focusing on the calculation and monitoring of carbon emissions, but also covering low-carbon scheduling management, carbon asset management, multi-energy deviation analysis and other aspects, forming a complete carbon footprint management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A system topology diagram for obtaining carbon footprint based on time-series energy flow calculation in the present invention;

[0053] Figure 2 The present invention is a flow chart of a method for obtaining carbon footprint based on time-series energy flow calculation. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] Example 1

[0056] See also Figure 1 ,The present invention proposes a system for obtaining carbon footprint based on time-series energy flow calculation. The system consists of a carbon emission modeling module for thermal power units, a data acquisition module, a low-carbon scheduling management module, a carbon emission monitoring management module, an operation scheduling management module, a carbon asset management module, a multi-energy deviation analysis module, and a carbon footprint visualization interaction module;

[0057] Among them, it should be noted that the carbon emission modeling module of the thermal power units in this system is used for energy flow topology construction and carbon footprint calculation, the data acquisition module of this system is used for data acquisition and data verification storage, the low-carbon scheduling management module of this system is used to provide carbon emission computing power support and optimize scheduling strategies, the carbon emission monitoring management module of this system is used for monitoring, early warning and data report generation, the operation scheduling management module of this system is used for operation data analysis and scheduling plan execution, the carbon asset management module of this system is used for carbon asset accounting and carbon trading strategy formulation, the multi-energy deviation analysis module of this system is used for deviation calculation and adjustment suggestions, and the carbon footprint visualization interaction module of this system is used for three-dimensional visualization and provides interactive analysis.

[0058] In this embodiment, it should also be noted that the carbon emission modeling module of the thermal power unit of this system also includes an energy flow topology construction unit and a carbon footprint calculation unit. The energy flow topology construction unit constructs the energy flow path through a graph theory algorithm, clarifies the carbon emission sources of each link, and is used to accurately locate the carbon emission sources. The carbon footprint calculation unit uses a neural network algorithm to convert energy flow data into carbon emissions, and is used to accurately calculate the carbon footprint.

[0059] In this embodiment, it should also be noted that the data acquisition module of the system also includes a data acquisition unit and a data verification storage unit. The data acquisition unit collects real-time equipment operation data through high-speed data acquisition software, accurate to the minute, to ensure the timeliness and accuracy of the data. The data verification storage unit verifies the data using a data verification algorithm and stores the data through big data storage technology to ensure the integrity and traceability of the data.

[0060] In this embodiment, it should also be noted that the low-carbon scheduling management module of the system also includes a carbon emission computing unit and a scheduling strategy optimization unit. The carbon emission computing unit provides computing power support through a carbon emission calculation model to achieve rapid formulation of low-carbon scheduling strategies. The scheduling strategy optimization unit optimizes the operation scheduling strategy based on an optimization algorithm to reduce overall carbon emissions and improve energy efficiency.

[0061] In this embodiment, it should also be noted that the carbon emission monitoring and management module of the system also includes a monitoring and early warning unit and a data report generation unit. The monitoring and early warning unit monitors carbon emissions in real time through real-time monitoring software, and automatically triggers an early warning mechanism when it exceeds the standard, so as to timely discover and handle abnormal carbon emissions. The data report generation unit uses report generation software to regularly generate carbon emission data reports for displaying carbon emissions and providing a basis for management decisions.

[0062] In this embodiment, it should also be noted that the operation scheduling management module of the system also includes an operation data analysis unit and a scheduling plan execution unit. The operation data analysis unit integrates and analyzes the unit operation data through data analysis software to extract valuable information and support scheduling decisions. The scheduling plan execution unit uses automated control to formulate and execute an operation scheduling plan to ensure that the unit operates according to the optimization strategy.

[0063] In this embodiment, it should also be noted that the carbon asset management module of this system also includes a carbon asset accounting unit and a carbon trading strategy unit. The carbon asset accounting unit uses carbon asset accounting software to calculate the total amount of carbon assets of the enterprise to clarify the carbon asset status. The carbon trading strategy unit uses strategy formulation software to formulate carbon trading strategies based on carbon market prices and carbon asset conditions to optimize carbon asset allocation.

[0064] In this embodiment, it should also be noted that the multi-energy deviation analysis module of the system also includes a deviation calculation unit and an adjustment suggestion unit. The deviation calculation unit calculates the deviation between the actual carbon emissions and the target value through a deviation analysis algorithm to evaluate the carbon emission control effect. The adjustment suggestion unit proposes adjustment suggestions for the production plan through intelligent optimization software based on the deviation calculation results to guide production adjustments and reduce deviations.

[0065] In this embodiment, it should also be noted that the carbon footprint visualization interactive module of the system also includes a three-dimensional visualization unit and an interactive analysis unit. The three-dimensional visualization unit uses three-dimensional visualization software to perform a three-dimensional display of carbon footprint data for intuitively presenting the carbon footprint distribution. The interactive analysis unit provides an interactive interface through the interactive analysis software to facilitate users to conduct in-depth analysis of carbon footprint data for supporting carbon emission management and decision-making.

[0066] Example 2

[0067] See also Figure 2 Based on the above system, the present invention also proposes a method for obtaining carbon footprint based on time series energy flow calculation. In practical application, specifically, the method includes the following steps:

[0068] S1. System initialization and data preparation:

[0069] Initialize the system to ensure the normal operation of each functional module, configure the data acquisition system to collect the operating data of the thermal power units in real time and accurately, and ensure the timeliness and accuracy of the data;

[0070] Conduct preliminary verification and storage of collected data to ensure data integrity and traceability;

[0071] Through this step, the system can ensure that each functional module operates normally in the initial state, providing a stable foundation for subsequent carbon footprint calculation and management. At the same time, by configuring an efficient data acquisition system, the system can collect the operating data of thermal power units in real time and accurately, ensuring the timeliness and accuracy of the data, and providing reliable data support for subsequent carbon footprint calculations. It lays a solid foundation in the practical application of obtaining carbon footprints based on time-series energy flow calculations and plays an important role in ensuring data quality.

[0072] S2. Energy flow topology construction and carbon footprint calculation:

[0073] Using graph theory algorithms, the energy flow path of the thermal power unit is constructed based on the collected operating data;

[0074] Identify the carbon emission sources of each link, input the verified energy flow data into the carbon footprint calculation model, and use the neural network algorithm to convert the energy flow data into carbon emissions to achieve accurate calculation of the carbon footprint;

[0075] Through this step, the system can use graph theory algorithms to construct the energy flow path of thermal power units and clarify the carbon emission sources of each link, thereby accurately locating the carbon emission sources. At the same time, by inputting the verified energy flow data into the carbon footprint calculation model, the system can use the neural network algorithm to convert the energy flow data into carbon emissions and achieve accurate calculation of the carbon footprint. This plays an important role in improving the calculation accuracy and clarifying the emission sources in the actual application of obtaining carbon footprints based on time-series energy flow calculations.

[0076] S3. Low-carbon dispatch management and strategy optimization:

[0077] Based on the carbon footprint calculation results, provide carbon emission computing support to lay the foundation for the rapid formulation of low-carbon scheduling strategies;

[0078] Based on the optimization algorithm, the current operation scheduling strategy is optimized to reduce overall carbon emissions and improve energy efficiency;

[0079] Through this step, the system can provide carbon emission computing power support based on the carbon footprint calculation results, laying the foundation for the rapid formulation of low-carbon scheduling strategies. At the same time, by optimizing the current operation scheduling strategy based on the optimization algorithm, the system can reduce overall carbon emissions and improve energy efficiency, which plays an important role in promoting energy conservation and emission reduction and improving energy efficiency in the actual application of obtaining carbon footprints based on time-series energy flow calculations.

[0080] S4. Carbon emission monitoring and report generation:

[0081] Use real-time monitoring software to monitor carbon emissions in real time. Once carbon emissions exceed the standard, the early warning mechanism will be automatically triggered to report and handle abnormal situations in a timely manner;

[0082] Generate carbon emission data reports regularly to display carbon emission status and provide a basis for management decisions;

[0083] Through this step, the system can use real-time monitoring software to monitor carbon emissions in real time, and automatically trigger an early warning mechanism when it exceeds the standard, so as to timely discover and deal with abnormal carbon emissions. At the same time, by regularly generating carbon emission data reports, the system can display carbon emissions and provide a basis for management decisions. It plays an important role in ensuring compliance and providing decision support in the actual application of obtaining carbon footprints based on time-series energy flow calculations;

[0084] S5. Operation scheduling management and execution:

[0085] Integrate and analyze unit operation data to extract valuable information to support scheduling decisions;

[0086] According to the optimized dispatching strategy, formulate and implement the operation dispatching plan to ensure that the unit operates according to the optimized strategy;

[0087] Through this step, the system can integrate and analyze the unit operation data and extract valuable information to support scheduling decisions. At the same time, according to the optimized scheduling strategy, the system can formulate and execute the operation scheduling plan to ensure that the unit operates according to the optimization strategy, which plays an important role in optimizing operation scheduling and improving operation efficiency in the actual application of obtaining carbon footprint based on time-series energy flow calculation;

[0088] S6. Carbon asset management and trading strategies:

[0089] Calculate the total amount of carbon assets of enterprises and clarify the status of carbon assets;

[0090] Formulate carbon trading strategies based on carbon market prices and carbon asset conditions to optimize carbon asset allocation;

[0091] Through this step, the system can calculate the total amount of carbon assets of the enterprise and clarify the status of carbon assets. At the same time, based on the carbon market price and carbon asset status, the system can formulate carbon trading strategies to optimize carbon asset allocation, which plays an important role in improving the level of carbon asset management and promoting the development of the carbon trading market in the actual application of obtaining carbon footprint based on time-series energy flow calculation;

[0092] S7. Multi-energy deviation analysis and adjustment:

[0093] Use the deviation analysis algorithm to calculate the deviation between actual carbon emissions and target values ​​and evaluate the effect of carbon emission control;

[0094] According to the deviation calculation results, make suggestions for adjusting the production plan and guide production adjustments to reduce the deviation;

[0095] Through this step, the system can use the deviation analysis algorithm to calculate the deviation between the actual carbon emissions and the target value, and evaluate the carbon emission control effect. At the same time, based on the deviation calculation results, the system can propose adjustment suggestions for the production plan and guide production adjustments to reduce the deviation. It plays an important role in improving control accuracy and optimizing production plans in the actual application of obtaining carbon footprints based on time-series energy flow calculations.

[0096] S8. Carbon footprint visualization and interactive analysis:

[0097] Use 3D visualization software to display carbon footprint data in 3D and intuitively present the distribution of carbon footprint;

[0098] Provide an interactive interface to facilitate users to conduct in-depth analysis of carbon footprint data and support carbon emission management and decision-making;

[0099] Through this step, the system can use three-dimensional visualization software to display the carbon footprint data in three dimensions and intuitively present the carbon footprint distribution. At the same time, by providing an interactive interface, the system can facilitate users to conduct in-depth analysis of carbon footprint data, support carbon emission management and decision-making, and play an important role in enhancing visualization effects and improving decision-making efficiency in the actual application of obtaining carbon footprints based on time-series energy flow calculations.

[0100] In summary, the present invention obtains carbon footprint based on time-series energy flow calculation through the above steps S1 to S8, and realizes comprehensive management and optimization of carbon emissions;

[0101] At the same time, it combines data collection, energy flow topology construction, carbon footprint calculation, low-carbon scheduling management, carbon emission monitoring, operation scheduling management, carbon asset management, multi-energy deviation analysis, and carbon footprint visualization and interactive analysis to form a complete carbon footprint calculation and management system.

[0102] 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 system for obtaining carbon footprint based on time series energy flow calculation, characterized in that: It includes carbon emission modeling module for thermal power units, data acquisition module, low-carbon dispatch management module, carbon emission monitoring management module, operation dispatch management module, carbon asset management module, multi-energy deviation analysis module, and carbon footprint visualization interaction module; The carbon emission modeling module of the thermal power unit is used for energy flow topology construction and carbon footprint calculation; The data acquisition module is used for data acquisition and data verification storage; The low-carbon scheduling management module is used to provide carbon emission computing power support and optimize scheduling strategies; The carbon emission monitoring and management module is used for monitoring early warning and data report generation; The operation scheduling management module is used for operation data analysis and scheduling plan execution; The carbon asset management module is used for carbon asset accounting and carbon trading strategy formulation; The multi-energy deviation analysis module is used for deviation calculation and adjustment suggestions; The carbon footprint visualization interactive module is used for three-dimensional visualization and provides interactive analysis.

2. A system for obtaining carbon footprint based on time series energy flow calculation according to claim 1, characterized in that: The carbon emission modeling module of the thermal power unit also includes an energy flow topology construction unit and a carbon footprint calculation unit; The energy flow topology construction unit constructs the energy flow path through a graph theory algorithm, clarifies the carbon emission sources in each link, and is used to accurately locate the carbon emission sources; The carbon footprint calculation unit uses a neural network algorithm to convert energy flow data into carbon emissions, so as to achieve accurate calculation of the carbon footprint.

3. The system for obtaining carbon footprint based on time series energy flow calculation according to claim 2, characterized in that: The data acquisition module also includes a data acquisition unit and a data verification storage unit; The data acquisition unit collects real-time equipment operation data through high-speed data acquisition software, accurate to the minute, to ensure the timeliness and accuracy of the data; The data verification storage unit verifies the data using a data verification algorithm and stores the data using a big data storage technology to ensure the integrity and traceability of the data.

4. The system for obtaining carbon footprint based on time series energy flow calculation according to claim 3, characterized in that: The low-carbon scheduling management module also includes a carbon emission computing unit and a scheduling strategy optimization unit; The carbon emission computing unit provides computing power support through a carbon emission calculation model to achieve rapid formulation of low-carbon scheduling strategies; The scheduling strategy optimization unit optimizes the operation scheduling strategy based on the optimization algorithm to reduce overall carbon emissions and improve energy utilization efficiency.

5. The system for obtaining carbon footprint based on time series energy flow calculation according to claim 4, characterized in that: The carbon emission monitoring and management module also includes a monitoring and early warning unit and a data report generation unit; The monitoring and early warning unit monitors carbon emissions in real time through real-time monitoring software, and automatically triggers an early warning mechanism when the carbon emissions exceed the standard, so as to timely detect and handle abnormal carbon emissions; The data report generation unit uses report generation software to regularly generate carbon emission data reports for displaying carbon emission conditions and providing a basis for management decisions.

6. The system for obtaining carbon footprint based on time series energy flow calculation according to claim 5, characterized in that: The operation scheduling management module also includes an operation data analysis unit and a scheduling plan execution unit; The operation data analysis unit integrates and analyzes the unit operation data through data analysis software to extract valuable information and support scheduling decisions; The scheduling plan execution unit utilizes automated control to formulate and execute an operation scheduling plan to ensure that the unit operates according to an optimized strategy.

7. The system for obtaining carbon footprint based on time series energy flow calculation according to claim 6, characterized in that: The carbon asset management module also includes a carbon asset accounting unit and a carbon trading strategy unit; The carbon asset accounting unit calculates the total amount of carbon assets of the enterprise through the carbon asset accounting software to clarify the status of carbon assets; The carbon trading strategy unit formulates carbon trading strategies based on carbon market prices and carbon asset conditions through strategy formulation software to optimize carbon asset allocation.

8. The system for obtaining carbon footprint based on time series energy flow calculation according to claim 7, characterized in that: The multi-energy deviation analysis module also includes a deviation calculation unit and an adjustment suggestion unit; The deviation calculation unit calculates the deviation between the actual carbon emissions and the target value through a deviation analysis algorithm, so as to evaluate the carbon emission control effect; The adjustment suggestion unit proposes adjustment suggestions for the production plan based on the deviation calculation results through intelligent optimization software to guide production adjustments and reduce deviations.

9. The system for obtaining carbon footprint based on time series energy flow calculation according to claim 8, characterized in that: The carbon footprint visualization interactive module also includes a three-dimensional visualization unit and an interactive analysis unit; The three-dimensional visualization unit uses three-dimensional visualization software to perform three-dimensional display of carbon footprint data to intuitively present the distribution of carbon footprint; The interactive analysis unit provides an interactive interface through interactive analysis software, which facilitates users to conduct in-depth analysis of carbon footprint data to support carbon emission management and decision-making.

10. A method for obtaining carbon footprint based on time series energy flow calculation, according to any one of claims 1-9, characterized in that: The following steps are involved: S1. Initialize the system settings, ensure the normal operation of each functional module, configure the data acquisition system, ensure the timeliness and accuracy of the data, and perform preliminary verification and storage of the collected data; S2. Using graph theory algorithms, based on the collected operation data, construct the energy flow path of the thermal power unit, identify the carbon emission sources of each link, input the verified energy flow data into the carbon footprint calculation model, and use the neural network algorithm to convert the energy flow data into carbon emissions; S3. Provide carbon emission computing power support based on the carbon footprint calculation results, and optimize the current operation scheduling strategy based on the optimization algorithm; S4. Use real-time monitoring software to monitor carbon emissions in real time. Once carbon emissions exceed the standard, the early warning mechanism will be automatically triggered, abnormal situations will be reported and handled in a timely manner, and carbon emission data reports will be generated regularly to display carbon emissions; S5. Integrate and analyze the unit operation data, extract valuable information to support scheduling decisions, and formulate and implement operation scheduling plans based on the optimized scheduling strategy; S6. Calculate the total amount of carbon assets of the enterprise, clarify the status of carbon assets, and formulate carbon trading strategies based on carbon market prices and carbon asset status; S7. Use the deviation analysis algorithm to calculate the deviation between the actual carbon emissions and the target value, evaluate the carbon emission control effect, and propose adjustment suggestions for the production plan based on the deviation calculation results; S8. Use 3D visualization software to display carbon footprint data in three dimensions, intuitively present the carbon footprint distribution, and provide an interactive interface to facilitate users to conduct in-depth analysis of carbon footprint data.

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