Carbon footprint calculation method based on coal products

Abstract

The invention provides a carbon footprint calculation method based on a coal product, which comprises the following steps: S1, determining a carbon footprint system boundary: dividing the whole life cycle of the coal product into stages of raw coal mining, raw coal short-distance transportation, raw coal washing, coal product selling and outward transportation to a coal consumption enterprise and the like, and starting from the raw coal mining; according to the carbon footprint calculation method based on the coal product, auxiliary links such as ventilation system energy consumption in a raw coal mining stage, underground support material production and transportation, coal cleaning plant wastewater treatment facility energy consumption, roadway construction material transportation and the like are brought into system boundaries; by refining sub-links and establishing an independent monitoring accounting sub-model, a full-life-cycle carbon emission source is fully covered, and the problem of system boundary integrity deficiency is solved, so that the actual carbon emission of a coal product can be truly reflected.

Description

Technical Field

[0001] This invention relates to the field of energy emission technology, and in particular to a method for calculating the carbon footprint of coal products. Background Technology

[0002] The production and use of coal products are accompanied by a large amount of greenhouse gas emissions, which has become one of the important sources of carbon emissions. To monitor greenhouse gas emissions, the first step is to accurately calculate the amount of greenhouse gas emissions.

[0003] One existing method for calculating the carbon footprint of coal products involves determining the system boundary of the carbon footprint throughout the entire lifecycle of the carbon product; dividing the carbon footprint within this system boundary into the raw coal mining stage, the post-mining methane escape stage, the raw coal washing stage, and the coal transportation stage; identifying the direct and indirect carbon emission sources for each stage based on the production process of the carbon product; determining the emission factors of the direct and indirect carbon emission sources for each stage; constructing a carbon emission accounting model using the emission factors of the direct and indirect carbon emission sources; and obtaining the carbon footprint of the coal product using the carbon emission accounting model for each stage under different application scenarios. This invention provides an in-depth analysis of the carbon emission sources and their emissions in the coal production process, establishes a carbon footprint measurement model for coal products, and realizes the carbon footprint accounting of coal products. This has practical significance and value for coal enterprises to accurately calculate the carbon footprint of their products.

[0004] However, this technology only covers core processes such as raw coal mining, washing, and transportation, neglecting indirect emissions during the raw coal mining stage, such as energy consumption of ventilation systems and transportation of underground support materials. It also fails to include auxiliary processes such as the production and transportation of roadway construction materials during mine development and the energy consumption and emissions of wastewater treatment facilities in coal washing plants. This results in a lack of system boundary integrity, making it difficult to fully reflect true carbon emissions. Furthermore, it fails to consider the time-sensitive and highly environmentally sensitive stage of methane escape after mining. Methane escape emissions during surface stockpiling and transportation within the mining area after raw coal mining are not separately accounted for, leading to a lack of carbon emission assessment for this crucial stage. Finally, it overlooks emissions during raw coal mining... The sources of emissions include: emissions from the operation of temporary underground drainage equipment; additional energy consumption during short-distance transportation in the washing and beneficiation stage; indirect emission sources do not include emissions from the production of chemical agents used for equipment maintenance, the impact of terrain on gas diffusion, and the dynamic energy consumption of different transportation methods affected by road conditions and weather during the off-site transportation stage, resulting in inaccurate emission source identification; the inability to make real-time corrections based on dynamic parameters such as geological conditions and transportation conditions leads to a large deviation between the calculated results and actual emissions; linear accounting models are difficult to handle the production differences of different coal mines, and the general calculation model cannot meet the needs of multiple scenarios such as full life cycle accounting for production enterprises, transaction process assessment for trading enterprises, and regional data integration for regulatory departments, thus limiting its practicality.

[0005] Therefore, it is necessary to provide a method for calculating the carbon footprint of coal products to solve the above-mentioned technical problems. Summary of the Invention

[0006] This invention provides a carbon footprint calculation method based on coal products, which solves the problems of incomplete boundaries, inaccurate emission source identification, lack of dynamic correction of accounting models, and inability to meet the needs of multiple scenarios in the existing coal product carbon footprint calculation system.

[0007] To address the aforementioned technical problems, this invention provides a method for calculating the carbon footprint of coal products, comprising the following steps:

[0008] S1. Determine the carbon footprint system boundary: Divide the entire life cycle of coal products into stages such as raw coal mining, short-distance transportation of raw coal, raw coal washing and processing, and sales of coal products to coal-consuming enterprises. The system boundary starts from raw coal mining and ends at the sales of coal products to coal-consuming enterprises. At the same time, refine the sub-stages of each stage and include the energy consumption of the ventilation system in the raw coal mining stage and the indirect impact of the production and transportation of underground support materials in the boundary consideration.

[0009] S2. Delineate carbon footprint stages: Within the system boundary, the system is divided into the raw coal mining stage, the post-mining methane escape stage, the raw coal washing stage, and the coal transportation stage. The post-mining methane escape stage is established separately based on the time period and environmental sensitivity of methane emissions. Geographic information system technology and fluid dynamics models are used to simulate the diffusion path and rate of methane under different terrains to determine the carbon emission sources in this stage.

[0010] S3. Identify carbon emission sources at each stage: including direct and indirect carbon emission sources during raw coal mining, post-mining methane escape, raw coal washing, and coal transportation.

[0011] S4. Determine the carbon emission factors for each stage: Determine them by combining real-time monitoring and dynamic correction.

[0012] S5. Construct a carbon emission accounting model: Adopt an intelligent model based on big data analysis and machine learning;

[0013] S6. Obtain the carbon footprint of coal products: Develop customized application interfaces for different application scenarios. After the user inputs relevant data, the system calls the corresponding accounting model to calculate the carbon footprint.

[0014] Preferably, the identification of carbon emission sources at each stage specifically includes:

[0015] During the raw coal mining stage: Direct carbon emission sources include emissions from the combustion of raw coal in boilers, fuel oil from surface transport vehicles, gas escape during raw coal mining, electricity consumption and fossil fuels during short-distance transportation, and emissions from the operation of temporary drainage equipment underground; Indirect carbon emission sources include emissions from the consumption of electricity for machinery operation and lighting, water consumption for dust in the mine, and emissions from the production process of using chemical agents for equipment maintenance.

[0016] Post-mine methane escape stage: The direct carbon emission sources are the emissions generated by the escape of methane during the process of hoisting raw coal to the ground and transporting it within the mining area, and the impact of the mining area's topography on methane diffusion and emissions is also considered.

[0017] In the raw coal washing stage: direct carbon emission sources are emissions from electricity and fossil fuels consumed during short-distance transportation; indirect carbon emission sources include emissions from electricity and water consumed during mechanical operation, as well as emissions from the production and use of chemical reagents added during the washing process.

[0018] Coal transportation stage: Indirect carbon emission sources are the emissions generated by electricity and fossil fuels consumed during long-distance transportation, and are determined comprehensively based on factors such as road conditions and weather conditions of different transportation modes and routes.

[0019] Preferably, when determining the carbon emission factors at each stage, the fossil fuel emission factors are dynamically corrected by real-time monitoring of fuel consumption, composition, and environmental parameters using sensors; the gas escape emission factors are dynamically adjusted in conjunction with gas concentration and geological conditions; and the fossil fuel emission factors at the raw coal mining stage are dynamically optimized based on real-time fuel analysis data and energy consumption monitoring data.

[0020] Preferably, when constructing the carbon emission accounting model, the model is trained using production, energy consumption, carbon emissions, and geological environment data from different coal mines. The model can automatically adjust the emission factor weights based on real-time input data to calculate carbon emissions.

[0021] Preferably, when determining carbon emission sources during the coal transportation phase, railway transportation combines railway locomotive energy consumption data with real-time weather; road transportation uses vehicle GPS and energy consumption monitoring equipment, taking into account road condition factors.

[0022] Preferably, the different application scenarios include manufacturing enterprises, trading enterprises, and environmental regulatory departments, which respectively input production scale and technology, procurement origin and transportation route, and regional production and sales data to calculate the entire life cycle, transaction process, and total regional carbon footprint.

[0023] Preferably, the carbon emission accounting model incorporates blockchain technology to perform distributed storage and traceability of carbon emission data throughout the entire process, ensuring that the data is tamper-proof and can be accessed in real time.

[0024] Preferably, the customized application interface has a carbon footprint early warning function, which automatically generates an emission reduction plan that includes process optimization, transportation route adjustment, and new energy substitution when the calculation result exceeds the threshold.

[0025] Preferably, the system boundary also includes auxiliary links such as energy consumption and emissions from coal washing plant wastewater treatment facilities and production and transportation of roadway construction materials during mine development, and independent monitoring and accounting sub-models are established for the indirect carbon emission sources of each auxiliary link.

[0026] Preferably, the carbon emission accounting during the coal transportation stage also includes a carbon footprint comparison model for different transportation modes, which generates a multi-scheme carbon emission comparison report by inputting parameters such as transportation distance, loading volume, and energy type.

[0027] Compared with related technologies, the carbon footprint calculation method based on coal products provided by this invention has the following beneficial effects:

[0028] This invention provides a method for calculating the carbon footprint of coal products. By incorporating the energy consumption of ventilation systems during the raw coal mining stage, the production and transportation of underground support materials, the energy consumption of wastewater treatment facilities in coal washing plants, and the transportation of roadway construction materials into the system boundary, and by refining sub-links and establishing independent monitoring and accounting sub-models, it comprehensively covers carbon emission sources throughout the entire life cycle, solving the problem of insufficient system boundary integrity, and thus being able to truly reflect the actual carbon emissions of coal products.

[0029] By establishing a separate methane escape stage after mining, geographic information system technology and fluid dynamics models are used to simulate the gas diffusion path and rate. At the same time, direct and indirect carbon emission sources at each stage are comprehensively identified, such as emissions from temporary underground drainage equipment in raw coal mining, energy consumption in short-distance transportation during the washing and beneficiation stage, and emissions from the production of chemical agents for equipment maintenance. The impact of dynamic factors such as transportation mode, road conditions, and weather on carbon emission sources is also considered, which solves the problem of inaccurate emission source identification and improves the accuracy of carbon emission assessment.

[0030] Carbon emission factors are determined by combining real-time monitoring with dynamic correction. Sensors and algorithms are used to dynamically adjust emission factors such as fossil fuel consumption and gas escape. At the same time, an intelligent accounting model is built based on big data analysis and machine learning. It can automatically adjust the weight of each emission factor according to the input real-time data, which solves the problem of lack of dynamic correction in the accounting model and improves the accuracy and reliability of the accounting results.

[0031] By developing customized application interfaces for different application scenarios such as coal production enterprises, trading enterprises, and environmental regulatory departments, the system realizes the calculation of carbon footprint throughout the entire life cycle, carbon footprint calculation of the transaction process, and regional total carbon footprint calculation. At the same time, it introduces blockchain technology to ensure that the data is tamper-proof and can be accessed in real time. It has a carbon footprint early warning function and can generate emission reduction suggestions, which solves the problem of not being able to meet the needs of multiple scenarios and improves its practicality and application scope. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of a preferred embodiment of a carbon footprint calculation method based on coal products provided by the present invention. Detailed Implementation

[0033] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0034] Please refer to the following: Figure 1 ,in, Figure 1 This is a schematic diagram of a preferred embodiment of a carbon footprint calculation method based on coal products provided by the present invention. The carbon footprint calculation method based on coal products includes the following steps:

[0035] S1. Determine the carbon footprint system boundary: Divide the entire life cycle of coal products into stages such as raw coal mining, short-distance transportation of raw coal, raw coal washing and processing, and sales of coal products to coal-consuming enterprises. The system boundary starts from raw coal mining and ends at the sales of coal products to coal-consuming enterprises. At the same time, refine the sub-stages of each stage and include the energy consumption of the ventilation system in the raw coal mining stage and the indirect impact of the production and transportation of underground support materials in the boundary consideration.

[0036] S2. Delineate carbon footprint stages: Within the system boundary, the system is divided into the raw coal mining stage, the post-mining methane escape stage, the raw coal washing stage, and the coal transportation stage. The post-mining methane escape stage is established separately based on the time period and environmental sensitivity of methane emissions. Geographic information system technology and fluid dynamics models are used to simulate the diffusion path and rate of methane under different terrains to determine the carbon emission sources in this stage.

[0037] S3. Identify carbon emission sources at each stage: including direct and indirect carbon emission sources during raw coal mining, post-mining methane escape, raw coal washing, and coal transportation.

[0038] S4. Determine the carbon emission factors for each stage: Determine them by combining real-time monitoring and dynamic correction.

[0039] S5. Construct a carbon emission accounting model: Adopt an intelligent model based on big data analysis and machine learning;

[0040] S6. Obtain the carbon footprint of coal products: Develop customized application interfaces for different application scenarios. After the user inputs relevant data, the system calls the corresponding accounting model to calculate the carbon footprint.

[0041] The entire life cycle of coal products is divided into stages such as raw coal mining, short-distance transportation of raw coal, raw coal washing and processing, and sales and transportation of coal products to coal-consuming enterprises. The system boundary starts from raw coal mining and ends at the sales and transportation of coal products to consuming enterprises. In this process, each stage is subdivided into sub-stages, which not only cover core processes such as raw coal mining and washing and processing, but also include energy consumption of ventilation systems during the raw coal mining stage (such as the power consumption of main fans, local fans and diesel generator backup power), carbon emissions from the production and transportation of underground support materials (anchor bolts, anchor cables, etc.), energy consumption of wastewater treatment facilities in coal washing plants, and auxiliary stages such as the production and transportation of roadway construction materials during mine development. By establishing an independent monitoring and accounting sub-model, it is ensured that no carbon emission sources are missed throughout the entire life cycle.

[0042] A combination of real-time monitoring and dynamic correction is employed to accurately determine carbon emission factors for different types of emission sources. For emission factors involving fossil fuel consumption, sensors monitor fuel usage, composition (such as carbon content and calorific value), and environmental parameters (temperature, air pressure, etc.) in real time, and algorithms are used for dynamic correction. For emission factors involving gas escape, dynamic adjustments are made based on gas monitoring concentration and geological conditions (such as coal seam permeability and burial depth). In particular, for emission factors involving fossil fuel consumption during the raw coal mining stage, data collected in real time by fuel composition analyzers and energy consumption monitoring sensors are dynamically optimized through an emission factor correction model to ensure that the factor data is highly matched with actual operating conditions.

[0043] A smart accounting model is built based on big data analysis and machine learning technology. By collecting production data (such as mining volume and washing efficiency), energy consumption data (electricity and fuel consumption), carbon emission monitoring data (gas concentration and exhaust emissions) of different coal mines under various production conditions, as well as geological parameters (coal seam thickness and dip angle) and environmental parameters (wind speed and temperature), the model is deeply trained. The model can automatically adjust the weight of each emission factor according to the input real-time data to achieve accurate calculation of carbon emissions.

[0044] Customized application interfaces have been developed for different application scenarios, including coal production enterprises, coal trading enterprises, and environmental regulatory departments. Coal production enterprises can calculate their full life-cycle carbon footprint by inputting data such as production scale and mining process; coal trading enterprises can calculate the carbon footprint of the transaction process by inputting data such as the origin and transportation route of purchased coal; and environmental regulatory departments can obtain the total regional carbon footprint by inputting data such as coal production, transportation, and consumption within their region. After the user inputs the data, the system automatically calls the corresponding calculation model to perform the calculation. At the same time, the interface has a carbon footprint warning function. When the calculation result exceeds the preset threshold, it automatically generates emission reduction suggestions including process optimization strategies, transportation route adjustment suggestions, and new energy alternatives.

[0045] The identification of carbon emission sources at each stage specifically refers to:

[0046] During the raw coal mining stage: Direct carbon emission sources include emissions from the combustion of raw coal in boilers, fuel oil from surface transport vehicles, gas escape during raw coal mining, electricity consumption and fossil fuels during short-distance transportation, and emissions from the operation of temporary drainage equipment underground; Indirect carbon emission sources include emissions from the consumption of electricity for machinery operation and lighting, water consumption for dust in the mine, and emissions from the production process of using chemical agents for equipment maintenance.

[0047] Post-mine methane escape stage: The direct carbon emission sources are the emissions generated by the escape of methane during the process of hoisting raw coal to the ground and transporting it within the mining area, and the impact of the mining area's topography on methane diffusion and emissions is also considered.

[0048] In the raw coal washing stage: direct carbon emission sources are emissions from electricity and fossil fuels consumed during short-distance transportation; indirect carbon emission sources include emissions from electricity and water consumed during mechanical operation, as well as emissions from the production and use of chemical reagents added during the washing process.

[0049] Coal transportation stage: Indirect carbon emission sources are the emissions generated by electricity and fossil fuels consumed during long-distance transportation, and are determined comprehensively based on factors such as road conditions and weather conditions of different transportation modes and routes.

[0050] When determining the carbon emission factors at each stage, the fossil fuel emission factors are dynamically adjusted by real-time monitoring of fuel consumption, composition, and environmental parameters using sensors; the gas escape emission factors are dynamically adjusted in conjunction with gas concentration and geological conditions; and the fossil fuel emission factors at the raw coal mining stage are dynamically optimized based on real-time fuel analysis data and energy consumption monitoring data.

[0051] The emission factors of fossil fuels consumed during the raw coal mining stage are dynamically adjusted using an emission factor correction model based on real-time data such as fuel carbon content, calorific value, ambient temperature, and air pressure obtained by fuel composition analyzers and energy consumption monitoring sensors.

[0052] When constructing the carbon emission accounting model, the model is trained using production, energy consumption, carbon emission, and geological environment data from different coal mines. The model can automatically adjust the emission factor weights based on real-time input data to calculate carbon emissions.

[0053] The model is trained by collecting carbon emission data and related parameters from different coal mines and production conditions. The collected training data includes coal mine production data, energy consumption data, carbon emission monitoring data, and geological and environmental parameters, so that the model can automatically adjust the weights of each emission factor according to the input real-time data to calculate carbon emissions.

[0054] When determining carbon emission sources during the coal transportation phase, railway transportation combines railway locomotive energy consumption data with real-time weather; road transportation uses vehicle GPS and energy consumption monitoring equipment, taking into account road condition factors.

[0055] The different application scenarios include manufacturing enterprises, trading enterprises, and environmental regulatory departments. They respectively input production scale and technology, procurement origin and transportation route, and regional production and sales data to calculate the entire life cycle, transaction process, and total regional carbon footprint.

[0056] The carbon emission accounting model incorporates blockchain technology to perform distributed storage and traceability of carbon emission data throughout the entire process, ensuring that the data is tamper-proof and can be accessed in real time.

[0057] The full-process carbon emission data includes data on coal production, transportation, and sales.

[0058] The customized application interface has a carbon footprint early warning function. When the calculation result exceeds the threshold, it automatically generates an emission reduction plan that includes process optimization, transportation route adjustment, and new energy substitution.

[0059] The system boundary also includes auxiliary links such as the energy consumption and emissions of coal washing plant wastewater treatment facilities, and the production and transportation of roadway construction materials during mine development. Independent monitoring and accounting sub-models are established for the indirect carbon emission sources of each auxiliary link.

[0060] The carbon emission accounting for the coal transportation stage also includes a carbon footprint comparison model for different transportation modes. By inputting parameters such as transportation distance, loading volume, and energy type, a carbon emission comparison report for multiple scenarios is generated.

[0061] Users need to provide three key parameters: transport distance, load capacity, and energy type. Transport distance determines the basic consumption of different transport modes; load capacity affects transport efficiency and energy intensity; energy type (such as electricity, diesel, etc.) is directly related to carbon emission factors. After receiving the parameters, the system automatically activates a carbon footprint comparison model for different transport modes. This model has integrated the energy consumption and emission calculation logic of common transport modes such as railways and highways. Combining the energy consumption data of different types of locomotives on different lines and real-time weather information provided by the railway department, the system calculates the carbon emissions under this plan. By using GPS and energy consumption monitoring equipment installed on transport vehicles, the system considers the impact of different road conditions on vehicle energy consumption and obtains the corresponding carbon emission results. The carbon emissions of each transport plan are visualized and presented in the form of tables or charts to show the emission differences between different plans, helping users to intuitively compare and choose low-carbon transport modes.

[0062] Compared with related technologies, the carbon footprint calculation method based on coal products provided by this invention has the following beneficial effects:

[0063] By incorporating the energy consumption of the ventilation system during the raw coal mining stage, the production and transportation of underground support materials, the energy consumption of wastewater treatment facilities in coal washing plants, and the transportation of roadway construction materials into the system boundary, and by refining the sub-links and establishing independent monitoring and accounting sub-models, the system comprehensively covers carbon emission sources throughout the entire life cycle, thus solving the problem of insufficient system boundary integrity and being able to truly reflect the actual carbon emissions of coal products.

[0064] By establishing a separate methane escape stage after mining, geographic information system technology and fluid dynamics models are used to simulate the gas diffusion path and rate. At the same time, direct and indirect carbon emission sources at each stage are comprehensively identified, such as emissions from temporary underground drainage equipment in raw coal mining, energy consumption in short-distance transportation during the washing and beneficiation stage, and emissions from the production of chemical agents for equipment maintenance. The impact of dynamic factors such as transportation mode, road conditions, and weather on carbon emission sources is also considered, which solves the problem of inaccurate emission source identification and improves the accuracy of carbon emission assessment.

[0065] Carbon emission factors are determined by combining real-time monitoring with dynamic correction. Sensors and algorithms are used to dynamically adjust emission factors such as fossil fuel consumption and gas escape. At the same time, an intelligent accounting model is built based on big data analysis and machine learning. It can automatically adjust the weight of each emission factor according to the input real-time data, which solves the problem of lack of dynamic correction in the accounting model and improves the accuracy and reliability of the accounting results.

[0066] By developing customized application interfaces for different application scenarios such as coal production enterprises, trading enterprises, and environmental regulatory departments, the system realizes the calculation of carbon footprint throughout the entire life cycle, carbon footprint calculation of the transaction process, and regional total carbon footprint calculation. At the same time, it introduces blockchain technology to ensure that the data is tamper-proof and can be accessed in real time. It has a carbon footprint early warning function and can generate emission reduction suggestions, which solves the problem of not being able to meet the needs of multiple scenarios and improves its practicality and application scope.

Claims

1. A method for calculating the carbon footprint of coal products, characterized in that, Includes the following steps: S1. Determine the carbon footprint system boundary: Divide the entire life cycle of coal products into stages such as raw coal mining, short-distance transportation of raw coal, raw coal washing and processing, and sales of coal products to coal-consuming enterprises. The system boundary starts from raw coal mining and ends at the sales of coal products to coal-consuming enterprises. At the same time, refine the sub-stages of each stage and include the energy consumption of the ventilation system in the raw coal mining stage and the indirect impact of the production and transportation of underground support materials in the boundary consideration. S2. Delineate carbon footprint stages: Within the system boundary, the system is divided into the raw coal mining stage, the post-mining methane escape stage, the raw coal washing stage, and the coal transportation stage. The post-mining methane escape stage is established separately based on the time period and environmental sensitivity of methane emissions. Geographic information system technology and fluid dynamics models are used to simulate the diffusion path and rate of methane under different terrains to determine the carbon emission sources in this stage. S3. Identify carbon emission sources at each stage: including direct and indirect carbon emission sources during raw coal mining, post-mining methane escape, raw coal washing, and coal transportation. S4. Determine the carbon emission factors for each stage: Determine them by combining real-time monitoring and dynamic correction. S5. Construct a carbon emission accounting model: Adopt an intelligent model based on big data analysis and machine learning; S6. Obtain the carbon footprint of coal products: Develop customized application interfaces for different application scenarios. After the user inputs relevant data, the system calls the corresponding accounting model to calculate the carbon footprint.

2. The method for calculating the carbon footprint of coal products according to claim 1, characterized in that, The identification of carbon emission sources at each stage specifically refers to: During the raw coal mining stage: Direct carbon emission sources include emissions from the combustion of raw coal in boilers, fuel oil from surface transport vehicles, gas escape during raw coal mining, electricity consumption and fossil fuels during short-distance transportation, and emissions from the operation of temporary drainage equipment underground; Indirect carbon emission sources include emissions from the consumption of electricity for machinery operation and lighting, water consumption for dust in the mine, and emissions from the production process of using chemical agents for equipment maintenance. Post-mine methane escape stage: The direct carbon emission sources are the emissions generated by the escape of methane during the process of hoisting raw coal to the ground and transporting it within the mining area, and the impact of the mining area's topography on methane diffusion and emissions is also considered. In the raw coal washing stage: direct carbon emission sources are emissions from electricity and fossil fuels consumed during short-distance transportation; indirect carbon emission sources include emissions from electricity and water consumed during mechanical operation, as well as emissions from the production and use of chemical reagents added during the washing process. Coal transportation stage: Indirect carbon emission sources are the emissions generated by electricity and fossil fuels consumed during long-distance transportation, and are determined comprehensively based on factors such as road conditions and weather conditions of different transportation modes and routes.

3. The method for calculating the carbon footprint of coal products according to claim 1, characterized in that, When determining the carbon emission factors at each stage, the fossil fuel emission factors are dynamically adjusted by real-time monitoring of fuel consumption, composition, and environmental parameters using sensors; the gas escape emission factors are dynamically adjusted in conjunction with gas concentration and geological conditions; and the fossil fuel emission factors at the raw coal mining stage are dynamically optimized based on real-time fuel analysis data and energy consumption monitoring data.

4. The method for calculating the carbon footprint of coal products according to claim 1, characterized in that, When constructing the carbon emission accounting model, the model is trained using production, energy consumption, carbon emission, and geological environment data from different coal mines. The model can automatically adjust the emission factor weights based on real-time input data to calculate carbon emissions.

5. The method for calculating the carbon footprint of coal products according to claim 1, characterized in that, When determining carbon emission sources during the coal transportation phase, railway transportation combines railway locomotive energy consumption data with real-time weather; road transportation uses vehicle GPS and energy consumption monitoring equipment, taking into account road condition factors.

6. The method for calculating the carbon footprint of coal products according to claim 1, characterized in that, The different application scenarios include manufacturing enterprises, trading enterprises, and environmental regulatory departments. They respectively input production scale and technology, procurement origin and transportation route, and regional production and sales data to calculate the entire life cycle, transaction process, and total regional carbon footprint.

7. The method for calculating the carbon footprint of coal products according to claim 4, characterized in that, The carbon emission accounting model incorporates blockchain technology to perform distributed storage and traceability of carbon emission data throughout the entire process, ensuring that the data is tamper-proof and can be accessed in real time.

8. The method for calculating the carbon footprint of coal products according to claim 1, characterized in that, The customized application interface has a carbon footprint early warning function. When the calculation result exceeds the threshold, it automatically generates an emission reduction plan that includes process optimization, transportation route adjustment, and new energy substitution.

9. The method for calculating the carbon footprint of coal products according to claim 1, characterized in that, The system boundary also includes auxiliary links such as the energy consumption and emissions of coal washing plant wastewater treatment facilities, and the production and transportation of roadway construction materials during mine development. Independent monitoring and accounting sub-models are established for the indirect carbon emission sources of each auxiliary link.

10. A method for calculating the carbon footprint of coal products according to claim 5, characterized in that, The carbon emission accounting for the coal transportation stage also includes a carbon footprint comparison model for different transportation modes. By inputting parameters such as transportation distance, loading volume, and energy type, a multi-scheme carbon emission comparison report is generated.

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