Carbon emission accounting method and device, electronic equipment and storage medium

Abstract

The application provides a carbon emission accounting method and device, electronic equipment and storage medium, wherein the method comprises: determining a target emission factor based on production activity data of a to-be-accounted enterprise and carbon emission accounting and external factor data; the production activity data is derived from an informatization management system inside the to-be-accounted enterprise; carbon emission accounting is performed based on the production activity data and the target emission factor to obtain the total carbon emission of the to-be-accounted enterprise; by connecting the informatization management system inside the enterprise with an external authoritative data source, an automatic accounting system is constructed; not only is the traditional manual reporting replaced by automatic collection, which significantly reduces the data acquisition cost, but also the production activity data is integrated into the determination process of the emission factor, so that the finally determined target emission factor can dynamically adapt to the complex and changeable process environment, thereby ensuring that the accounting result meets the compliance requirements while greatly improving the accuracy and timeliness of the accounting result.

Description

Technical Field

[0001] This invention relates to the field of carbon emission accounting technology, and in particular to a carbon emission accounting method, apparatus, electronic device and storage medium. Background Technology

[0002] As the global climate governance process continues to advance, the dual-carbon strategy objectives place higher demands on the accuracy, real-time performance, and compliance of corporate carbon management. The electronics manufacturing industry, as a typical sector with a complex energy consumption structure and diverse emissions (including fossil fuels, electricity, and fluorinated process gases), faces severe challenges in its carbon emission accounting.

[0003] Currently, carbon emission accounting mainly employs two methods: the fixed factor method and real-time monitoring technology. The fixed factor method estimates carbon emissions primarily through static emission factors. However, this method struggles to respond promptly to changes in regulations or standards in the complex production environment of the electronics manufacturing industry, is ill-suited to dynamic process fluctuations, and some accounting methods lack deep data fusion capabilities, failing to meet the demands of refined management. Real-time monitoring technology, on the other hand, relies on high-precision monitoring equipment, incurring significant deployment and maintenance costs, and is highly dependent on the equipment, resulting in limited practicality. Summary of the Invention

[0004] This invention provides a carbon emission accounting method, apparatus, electronic device, and storage medium to solve the problems of existing technologies, such as inability to respond to standard changes in a timely manner, difficulty in adapting to dynamic fluctuations in processes, high deployment and maintenance costs, and poor practicality.

[0005] This invention provides a carbon emission accounting method, comprising: Obtain production activity data of the enterprise to be accounted for, as well as external factor data for carbon emission accounting; the production activity data comes from the enterprise's internal information management system. Based on the production activity data and the external factor data, the target emission factor is determined; Carbon emission accounting is performed based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

[0006] According to a carbon emission accounting method provided by the present invention, determining the target emission factor based on the production activity data and the external factor data includes: Based on the aforementioned external factor data, the official emission factors are determined; If the official emission factor update is outdated and / or does not cover the current process materials of the enterprise to be accounted for, then factor prediction is performed based on the process parameters in the production activity data to obtain the predicted emission factor, and the predicted emission factor is used as the target emission factor. Otherwise, the official emission factor shall be used as the target emission factor.

[0007] According to a carbon emission accounting method provided by the present invention, the step of calculating carbon emissions based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for includes: The production activity data is classified to obtain multiple types of emission data, including stationary fossil fuel combustion data, process production emission data, fugitive emission data, waste treatment emission data, and net purchased electricity and heat emission data. From the target emission factors, determine the emission factors corresponding to various types of emission data; The various types of emission data and their corresponding emission factors are input into the carbon emission accounting model to obtain the carbon emissions corresponding to the various types of emission data; the carbon emission accounting model contains multiple sub-accounting models, each of which corresponds to the carbon emission accounting of a type of emission data; each sub-accounting model is constructed on the basis of an integrated regression model; The total carbon emissions are determined based on the carbon emissions corresponding to the various types of emission data.

[0008] According to a carbon emission accounting method provided by the present invention, determining the total carbon emissions based on the carbon emission amounts corresponding to the various types of emission data includes: Based on the carbon emissions corresponding to the aforementioned emission data, a preliminary carbon emission amount is determined; Obtain the actual carbon emissions and calculated carbon emissions within the historical accounting period; Based on the residual values ​​between the actual carbon emissions and the calculated carbon emissions within the historical accounting period, a historical residual sequence is determined; Based on the historical residual sequence, a dynamic compensation factor is determined, and based on the dynamic compensation factor, the preliminary carbon emissions are corrected to obtain the total carbon emissions.

[0009] According to a carbon emission accounting method provided by the present invention, the dynamic compensation factor indicates that the compensation factor changes dynamically in different accounting periods; The determination of the dynamic compensation factor based on the historical residual sequence includes: Statistical analysis was performed on the historical residual sequence to obtain the residual mean and residual fluctuation value; Based on the mean residual and the residual fluctuation value, the correction value for the current accounting period is determined; Based on the correction value of the current accounting period and the compensation factor of the previous accounting period, the compensation factor of the current accounting period is generated by the weighted moving average method.

[0010] According to a carbon emission accounting method provided by the present invention, the emission factor corresponding to the process production emission data is a by-product conversion factor; the carbon emission amount corresponding to the process production emission data is determined based on the following steps: Based on the emission data of the process, each fluorinated feed gas and its corresponding fluorinated by-product gas used in the process are determined, and the gas residual rate, gas usage, gas utilization rate and first treatment removal efficiency of each fluorinated feed gas are determined, as well as the second treatment removal efficiency of each fluorinated by-product gas. The residual gas rate, the amount of gas used, the gas utilization rate, the first treatment and removal efficiency, the by-product conversion factor, and the second treatment and removal efficiency are input into the sub-accounting model corresponding to the process production emission data to obtain the carbon emissions corresponding to the process production emission data.

[0011] According to a carbon emission accounting method provided by the present invention, the sub-accounting model corresponding to the process production emission data is used to determine the carbon emission of each fluorinated feedstock gas based on the gas residual rate, the gas usage, the gas utilization rate, and the first treatment and removal efficiency; and to determine the carbon emission of each fluorinated by-product gas based on the gas residual rate, the gas usage, the by-product conversion factor, and the second treatment and removal efficiency. The sub-accounting model corresponding to the process production emission data is also used to determine the carbon emissions corresponding to the process production emission data based on the carbon emissions of each fluorinated feedstock gas and its corresponding global warming potential, as well as the carbon emissions of each fluorinated by-product gas and its corresponding global warming potential.

[0012] According to a carbon emission accounting method provided by the present invention, the step of calculating carbon emissions based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for further includes: Based on the carbon emissions corresponding to the various types of emission data and the proportion analysis of the total carbon emissions, the carbon emission structure is obtained; Based on the total carbon emissions and the actual carbon emissions during the historical accounting period, a trend analysis is performed to obtain the carbon emission trend. Based on the carbon emissions corresponding to the various types of emission data, the total carbon emissions, the carbon emission structure, and the carbon emission trends, a visualized carbon emission accounting report is generated.

[0013] The present invention also provides a carbon emission accounting device, comprising: The data acquisition unit is used to acquire production activity data of the enterprise to be accounted for, as well as external factor data for carbon emission accounting; the production activity data comes from the internal information management system of the enterprise to be accounted for. A factor determination unit is used to determine a target emission factor based on the production activity data and the external factor data; The carbon emission accounting unit is used to perform carbon emission accounting based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

[0014] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the carbon emission accounting method as described above.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the carbon emission accounting method as described above.

[0016] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the carbon emission accounting method as described above.

[0017] The carbon emission accounting method, apparatus, electronic device, and storage medium provided by this invention, by connecting the enterprise's internal information management system with external authoritative data sources, constructs an automated and dynamic accounting system. It not only uses automated data collection to replace traditional manual reporting, significantly reducing data acquisition costs and avoiding human error, but more importantly, it integrates real-time production activity data into the emission factor determination process. This allows the final target emission factor to dynamically adapt to the complex and ever-changing process environment of the electronic equipment manufacturing industry. Thus, while ensuring that the accounting results meet compliance requirements, it greatly improves the accuracy and timeliness of the accounting results, thereby providing a reliable data foundation for enterprises to conduct refined carbon management and address carbon issues. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 This is a schematic flowchart of the carbon emission accounting method provided by the present invention; Figure 2 This is a schematic diagram of the target emission factor determination process provided by the present invention; Figure 3 This is a schematic diagram of the carbon emission accounting device provided by the present invention; Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0021] As the global climate governance process continues to advance, the dual-carbon strategy objectives place higher demands on the accuracy, real-time performance, and compliance of corporate carbon management. The electronics manufacturing industry, as a typical sector with a complex energy consumption structure and diverse emissions (including fossil fuels, electricity, and fluorinated process gases), faces severe challenges in its carbon emission accounting.

[0022] Current carbon emission accounting methods mainly include fixed-factor-based accounting, real-time monitoring technology, and mass balance methods. Among these, the fixed-factor method is widely used due to its simplicity and convenience. This method estimates carbon emissions by inputting fuel or electricity consumption data and combining it with pre-set static emission factors. However, this method reveals significant limitations when facing the complex and ever-changing production environment of the electronics manufacturing industry. Firstly, most systems heavily rely on fixed carbon emission factors, making it difficult to respond promptly to changes in relevant regulations or industry standards, resulting in lagging accounting results. Secondly, static factors struggle to adapt to dynamic fluctuations in internal processes, such as high-frequency process switching and gas usage under specific temperature and pressure conditions, leading to significant discrepancies between the calculated results and actual emissions. Furthermore, accounting methods that rely on manual estimation or static templates lack the ability to deeply integrate historical energy consumption data with external factors, making it difficult to meet the needs of refined management. While real-time monitoring technology offers high accuracy, its high deployment and maintenance costs and reliance on equipment limit its feasibility for implementation and its widespread adoption across the industry. On the other hand, while the quality balance method is highly applicable, it is difficult to ensure the accuracy of calculations in the absence of detailed process information.

[0023] In response, this invention provides a carbon emission accounting method that aims to solve the problems of lagging accounting results, inability to adapt to dynamic changes in processes, and low accounting efficiency caused by over-reliance on static emission factors and manual accounting methods in the prior art. It realizes automatic and accurate carbon emission accounting by integrating production activity data from the enterprise's internal information management system with external factor data, thereby providing enterprises with a low-cost, high-precision, and compliant intelligent carbon management solution.

[0024] Figure 1 This is a flowchart illustrating the carbon emission accounting method provided by the present invention. This method can be applied to a carbon emission accounting system, which is suitable for various industries requiring carbon emission accounting, especially the electronic equipment manufacturing industry. It solves the accounting challenges caused by complex emission sources and rapid process changes within the industry through digital means. Figure 1 As shown, the method includes: Step 110: Obtain production activity data of the enterprise to be accounted for, as well as external factor data for carbon emission accounting; the production activity data comes from the enterprise's internal information management system. Step 120: Determine the target emission factor based on production activity data and external factor data; Step 130: Calculate carbon emissions based on production activity data and target emission factors to obtain the total carbon emissions of the enterprise to be accounted for.

[0025] Specifically, when conducting carbon emission accounting for enterprises, the first step is to identify the enterprise to be accounted for and its production activity data. This enterprise can be a chip manufacturer, a panel display manufacturer, or other electronic equipment manufacturer, or any other enterprise engaged in related production activities. This embodiment of the invention does not impose specific limitations on this. That is, considering the high deployment and maintenance costs of real-time monitoring technology, this embodiment of the invention selects to obtain data from the enterprise's internal information management system. Specifically, the carbon emission accounting system first establishes a connection with the enterprise's internal information management system. This information management system refers to various platforms that accumulate data in the enterprise's daily operations, including Enterprise Resource Planning (ERP) systems that record material flow, Manufacturing Execution Systems (MES) that monitor production processes, Energy Management Systems (EMS), and Distributed Control Systems (DCS). After establishing the connection, the system can automatically and frequently retrieve production activity data from the information management system through interfaces or direct database connections.

[0026] Here, the captured production activity data is the direct quantitative basis for greenhouse gas emissions. Its content is extremely rich and has industry characteristics. It includes not only the consumption of stationary fossil fuels and the net purchase of electricity and heat, but more importantly, it also includes key data unique to the electronic equipment manufacturing process, such as the purchase and use records of fluorinated gases such as NF3, CF4, and SF6, as well as detailed process parameters such as gas usage flow rate, process duration, process frequency, equipment operating temperature, and the treatment and removal efficiency of waste gas treatment facilities.

[0027] Meanwhile, to ensure the compliance and calculation benchmarks of carbon emission accounting, the system also uses web crawling and other technologies to obtain external factor data from authoritative sources such as the Ministry of Ecology and Environment and regional power grid companies. This external factor data may include Global Warming Potential (GWP) values, regional power grid emission factors, carbon content per unit calorific value of various fuels, and default emission factors.

[0028] After acquiring internal and external data, the system needs to determine the final target emission factor for calculation. This process is not a simple table lookup, but a decision-making process that combines external standards with the company's internal production realities. Specifically, the system comprehensively analyzes production activity data and external factor data to determine the final target emission factor. For example, for emission sources with strong general applicability, such as net purchased electricity and heat, the system will directly match the latest regional grid emission factor in the external factor data as the target emission factor based on the grid affiliation in the production activity data to ensure compliance. For complex process emissions, such as etching and thin film deposition, considering that external factor data may be outdated or have coarse granularity (unable to reflect emission rates at specific temperatures or flow rates), the system will use the acquired process parameters for fitting to determine a localized factor that both conforms to external specifications and accurately reflects the current process level, as the final target emission factor. Alternatively, the system can directly analyze the external factor data without distinguishing between emission sources and processes. When the external factor data is generally outdated or fails to cover current process materials, the system can abandon the use of external factor data and instead use production activity data to fit the target emission factor. For example, based on the actual situation, the emission factors obtained by combining external factor data and emission factors fitted through production activity data can be weighted and then the target emission factor can be determined by weighted summation.

[0029] However, it is worth noting that, in order to ensure the accuracy of the target emission factor used for the final calculation, in this embodiment of the invention, after obtaining the internal and external data, it can also be preprocessed, such as using the k-nearest neighbor algorithm to fill in missing values, and using statistical methods such as z-score to identify and correct outliers. After all internal and external data are processed in this way, they will be organized into a dataset in a unified format, and time series windows will be constructed according to year, quarter or month, and stored in the system database for subsequent factor determination and carbon emission accounting.

[0030] Then, using the pre-processed production activity data and target emission factors, carbon emission accounting can be performed. This accounting process uses specific calculation rules, such as linear multiplication or nonlinear model calculations, to convert various production activities of the enterprise under accounting into a unified amount of carbon dioxide. The accounting scope covers all key emission links of the enterprise under accounting, including direct emissions such as combustion of stationary fossil fuels, process production emissions, fugitive emissions, and waste treatment emissions, as well as indirect emissions such as net purchased electricity and heat emissions. Finally, the system summarizes the accounting results of each key emission link to obtain the total carbon emissions of the enterprise under accounting for the current accounting period, such as monthly, quarterly, or annually.

[0031] The carbon emission accounting method provided by this invention connects an enterprise's internal information management system with external authoritative data sources, constructing an automated and dynamic accounting system. This not only replaces traditional manual reporting with automated data collection, significantly reducing data acquisition costs and avoiding human error, but more importantly, it integrates real-time production activity data into the emission factor determination process. This allows the final target emission factors to dynamically adapt to the complex and ever-changing process environment of the electronic equipment manufacturing industry. Thus, while ensuring the accounting results meet compliance requirements, it significantly improves the accuracy and timeliness of the results, providing a reliable data foundation for enterprises to conduct refined carbon management and address carbon issues.

[0032] Based on the above embodiments, step 120 includes: Official emission factors were determined based on external factor data; If the official emission factor update is lagging and / or does not cover the current process materials of the enterprise to be accounted for, the factor prediction is made based on the process parameters in the production activity data to obtain the predicted emission factor, and the predicted emission factor is used as the target emission factor. Otherwise, the official emission factor will be used as the target emission factor.

[0033] Specifically, Figure 2 This is a schematic diagram of the target emission factor determination process provided by the present invention, as shown below. Figure 2As shown, considering the rapid pace of technological updates and the fact that official data releases often lag behind technological iterations in the electronic equipment manufacturing industry, this embodiment of the invention adopts a dual-track strategy of prioritizing compliance and dynamic complementarity to determine the target emission factor used for the final calculation.

[0034] In detail, the process of determining the target emission factor begins with compliance considerations. Specifically, the system first determines the emission factor corresponding to the enterprise to be accounted for from external factor data (such as regional power grid emission factors), i.e., the official emission factor. This factor represents the compliance track for carbon emission accounting, aiming to ensure that the basic accounting data has legal validity or industry credibility.

[0035] However, to address the potential lag in official emission factors, the system performs an intelligent verification and decision-making process before determining the final target emission factor. Specifically, the system checks whether the current official emission factors are outdated and / or do not cover the current process materials of the enterprise being accounted for. Outdated updates refer to a time difference exceeding a preset threshold between the release time of the official emission factor and the current accounting time, such as the regional power grid emission factor not being updated for two years while the local power structure has changed significantly. Not covering the current process materials of the enterprise being accounted for means that the enterprise has adopted newly developed materials, special hybrid processes, etc., and there are no corresponding default values ​​in the external factor data.

[0036] Once the system detects any of the above situations, i.e., the official emission factors cannot accurately reflect the current situation, it will automatically switch to the adaptive track. At this time, the system will delve into the process parameters in the production activity data of the enterprise to be accounted for. These parameters are real-time variables that directly reflect the operating conditions of the production line, such as gas flow rate, process duration, process frequency, and equipment operating temperature. Using these process parameters, the system will perform factor prediction and calculate the emission factor that fits the current actual operating conditions of the enterprise to be accounted for through a preset algorithm or model (which establishes a mapping relationship between process parameters and emission factors). This predicted emission factor will then be used as the target emission factor for the enterprise to be accounted for in this accounting, in order to make up for the lack or bias of the official data.

[0037] Specifically, this could involve using a hybrid model of empirical formulas and fitting coefficients built based on process parameters to calculate the predicted emission factor. In order to accurately capture the nonlinear mapping relationship between the manufacturing process characteristics of electronic devices and the emission factor, this embodiment of the invention selects the most representative process parameters as input variables for the hybrid model. These variables include the gas usage flow rate. Process duration Process frequency and equipment operating temperature Substituting this into the hybrid model yields the predicted emission factor.

[0038] The hybrid model here is an empirical prediction formula built based on the physical nature of gas emissions from the electronics manufacturing industry, capable of coupling the nonlinear relationships between various variables, as detailed below: In the formula, To predict emission factors, , , and These are empirical fitting coefficients determined using historical data. This function couples the nonlinear relationships between variables in a multiplicative and exponential manner, enabling it to effectively represent emissions from various electronic device manufacturing processes while maintaining interpretability.

[0039] To obtain these empirical fitting coefficients for accurate prediction, this invention provides two flexible parameter fitting paths. One is a logarithmic linearization modeling method, which involves taking the natural logarithm of both sides of the above empirical prediction formula to transform it into the following... The linear regression form can be obtained, and then the least squares method can be used for rapid analysis to obtain... , , and The value of . This method is not only computationally efficient, but also has good interpretability and significance testing capabilities.

[0040] Another approach is to directly fit the original nonlinear model. That is, using nonlinear optimization tools such as scipy.optimize.curve_fit, the empirical prediction formula is directly fitted to obtain the desired result. , , and The value of . This method eliminates the need for logarithmic transformation, further reducing transformation errors and yielding more accurate empirical fitting coefficient values.

[0041] Furthermore, considering that electronics manufacturing involves multiple gases (such as NF3, CF4, SF6, etc.), and that each gas has different emission characteristics, a multi-gas modeling mechanism was established. This mechanism can automatically group data based on the gas name field in the input production activity data and construct the aforementioned empirical prediction formula for each gas, meaning each gas has an independent empirical fitting coefficient. After construction, these gas-specific models are automatically saved. When factor prediction is needed, the system only needs to call the model for the corresponding gas, input the current process parameters, and it can calculate the corresponding predicted emission factor.

[0042] Conversely, if the system verifies that the official emission factor version is newer and can fully cover the current process materials of the company to be accounted for, then following the principle of compliance first, the official emission factor will be directly used as the target emission factor for this accounting of the company to be accounted for.

[0043] In this embodiment of the invention, a dual-track mechanism that dynamically switches between official emission factors and predicted emission factors effectively solves the problems of accounting lag and distortion caused by over-reliance on fixed emission factors in traditional accounting. While ensuring that the accounting results are compliant with policies, it can automatically generate high-precision predicted emission factors to fill gaps in special scenarios such as untimely updates of official data and lack of data for new processes, using real-time process parameters within the enterprise. In particular, by introducing nonlinear modeling methods with empirical formulas and fitting coefficients, it achieves accurate mapping from micro-process behavior to macro-emission factors, thereby greatly improving the system's adaptability to the rapidly iterating production processes and complex emission characteristics of the electronic equipment manufacturing industry.

[0044] Based on the above embodiments, step 130 includes: Production activity data is classified to obtain multiple types of emission data, including stationary fossil fuel combustion data, process production emission data, fugitive emission data, waste treatment emission data, and net purchased electricity and heat emission data. From the target emission factors, determine the emission factors corresponding to various types of emission data; Various emission data and their corresponding emission factors are input into the carbon emission accounting model to obtain the carbon emission amount corresponding to each type of emission data. The carbon emission accounting model contains multiple sub-accounting models, each of which corresponds to the carbon emission accounting of a certain type of emission data. Each sub-accounting model is built on the basis of an integrated regression model. The total carbon emissions are determined based on the carbon emissions corresponding to various types of emission data.

[0045] Specifically, the process of calculating carbon emissions based on production activity data and target emission factors can include: First, the massive amount of production activity data needs to be categorized into five major categories, corresponding to different emission mechanisms. These include: stationary fossil fuel combustion data (covering data on the consumption of fossil fuels such as natural gas and diesel by stationary equipment such as boilers and furnaces); process production emission data (involving the consumption of fluorine-containing gases and process parameters used in processes such as etching and thin film deposition); fugitive emission data (mainly referring to HFC refrigerant leaks in refrigeration equipment and SF6 insulation gas leaks in power facilities); waste treatment emission data (involving data related to methane emissions generated during anaerobic wastewater treatment); and net purchased electricity and heat emission data (indirect emission data generated by enterprises from purchased energy).

[0046] The system then precisely matches the emission factors corresponding to various types of emission data from the target emission factors. For example, it matches specific conversion factors for fluorinated byproduct gases—the byproduct conversion factors—to the process production emission data. Next, the categorized emission data and their corresponding emission factors are input into a pre-built carbon emission accounting model. This model is not a single, monolithic structure, but a composite structure containing multiple sub-accounting models. Each sub-accounting model is specifically designed for a particular type of emission data. For instance, one sub-accounting model calculates the carbon emissions corresponding to process production emission data, and another calculates the carbon emissions corresponding to stationary fossil fuel combustion data, ensuring that the calculation logic conforms to the physicochemical characteristics of that type of emission data.

[0047] More importantly, in order to capture the complex nonlinear emission characteristics in electronic equipment manufacturing, such as the nonlinear impact of process parameter fluctuations on carbon emissions, these sub-accounting models are all built on ensemble regression models, such as random forest regression models. By training these ensemble regression models with historical data, they learn the complex mapping relationship between input data (historical production activity data and factor data) and output carbon emissions, thereby enabling them to accurately output the precise carbon emissions corresponding to various emission data in practical applications.

[0048] The system can then aggregate the carbon emissions output from each sub-accounting model to calculate the total carbon emissions of the enterprise to be accounted for in the current accounting period.

[0049] In this embodiment of the invention, by dividing complex production activity data into five categories and matching each category with a corresponding sub-accounting model, refined management of emissions throughout the entire process of the electronic equipment manufacturing industry is achieved. In particular, the introduction of an integrated regression model in the carbon emission accounting process breaks through the limitations of traditional linear calculation templates. This model effectively captures and fits the complex nonlinear relationships between production activities, process parameters, and carbon emissions, thereby significantly improving the accuracy and robustness of the accounting results. This ensures that the system can still output accurate accounting results even in complex emission scenarios involving multiple sources, phases, and mechanisms.

[0050] Based on the above embodiments, the total carbon emissions are determined based on the carbon emissions corresponding to various types of emission data, including: Based on the carbon emissions corresponding to various types of emission data, a preliminary carbon emission amount is determined; Obtain the actual carbon emissions and calculated carbon emissions within the historical accounting period; Based on the residual values ​​between actual carbon emissions and calculated carbon emissions within the historical accounting period, a historical residual sequence is determined; Based on the historical residual sequence, a dynamic compensation factor is determined, and based on the dynamic compensation factor, the initial carbon emissions are corrected to obtain the total carbon emissions.

[0051] Specifically, in order to address the systematic biases that may occur in the long-term operation of the integrated regression model or the prediction drift caused by equipment aging, environmental changes, etc., in this embodiment of the invention, an error correction mechanism is introduced in the process of determining the total carbon emissions based on the carbon emissions corresponding to various types of emission data.

[0052] After obtaining the carbon emissions corresponding to various emission data output by each sub-accounting model, the system first sums these carbon emissions to obtain a preliminary value, namely the preliminary carbon emissions. This value represents the theoretical prediction made by the model based on the current input data, but does not yet take into account the historical bias that may exist in the model itself.

[0053] To correct this potential bias, the system immediately initiates an error correction process. First, it retrieves historical data from the system database to determine the actual and calculated carbon emissions within the historical accounting period. The calculated carbon emissions are the carbon emissions predicted by the system at past points in time (such as the past few months or quarters); the actual carbon emissions are the real carbon emissions, typically sourced from third-party annual carbon verification reports, sampling data from the company's internal high-precision online monitoring equipment, and periodic material balance inventory results.

[0054] Next, the system calculates the deviation between the actual and calculated values ​​within the same historical accounting period, i.e., the residual value. By collecting residual values ​​from multiple consecutive historical accounting periods, the system constructs a historical residual sequence sorted by time. This sequence objectively records the model's performance over a period of time, reflecting whether the model tends to overestimate or underestimate (systematic bias) and the fluctuation of the prediction results (random error).

[0055] The system then analyzes the historical residual sequence to determine a dynamic compensation factor used to correct the current forecast. This compensation factor is not fixed but is a correction value generated in real time based on the statistical characteristics of the residual sequence (such as mean and trend). Finally, the system uses this dynamic compensation factor to perform error correction on the initial carbon emissions, thereby obtaining the final total carbon emissions after error correction.

[0056] In this embodiment of the invention, by adding a post-processing correction mechanism based on residual analysis on top of the model prediction results, the system is given the ability to learn from historical errors. It can effectively identify and offset systematic deviations caused by parameter drift or environmental changes in the model, and dynamically adjust the current prediction results using the empirical values ​​of historical data. This significantly improves the stability and accuracy of the accounting results in long-term operation, ensuring that the system maintains a high level of accounting accuracy when facing the dynamically changing production environment of the electronic equipment manufacturing industry.

[0057] Based on the above embodiments, the dynamic compensation factor indicates that the compensation factor changes dynamically in different accounting periods; Based on historical residual sequences, dynamic compensation factors are determined, including: Statistical analysis was performed on the historical residual series to obtain the residual mean and residual fluctuation values; Based on the residual mean and residual fluctuation, determine the correction value for the current accounting period; Based on the correction value of the current accounting period and the compensation factor of the previous accounting period, the compensation factor for the current accounting period is generated by the weighted moving average method.

[0058] Specifically, considering the large fluctuations in production during the electronic equipment manufacturing industry and the difficulty of adapting to real-time changes with a single fixed compensation value, this invention proposes a dynamic compensation algorithm with time-varying characteristics to ensure that the compensation factor can keenly capture and follow the changing trend of model error. Here, "dynamic" in "dynamic compensation factor" means that the compensation factor is not static, but a variable that is continuously updated with the passage of time and the input of the latest residual value to reflect the error state of the model in different accounting periods.

[0059] In detail, this could begin with in-depth statistical analysis of the historical residual series. For example, a specific time window could be selected (e.g., the past 6-12 months), and the statistical characteristics of the residual values ​​within that window could be calculated, specifically including the residual mean and residual volatility. The residual mean reflects the direction of the model's average bias over a period of time (whether it is too high or too low), representing the systematic error component; while the residual volatility (usually expressed as the standard deviation or the mean of absolute values) reflects the uncertainty or dispersion of the model's predictions, representing the random error component.

[0060] Next, the system can calculate the correction value for the current accounting period based on the aforementioned statistical characteristics, namely the residual mean and residual fluctuation value. Alternatively, a weighted summation method can be used to combine these two factors to determine the correction value for the current accounting period. This correction value comprehensively considers both long-term trends (mean) and recent fluctuations (fluctuation value), thus eliminating immediate deviations in the current accounting period.

[0061] To avoid system oscillations caused by excessive compensation due to a single abnormal fluctuation, this embodiment of the invention does not directly use the instantaneous correction value (the correction value of the current accounting period) as the compensation factor. Instead, a smoothing mechanism is introduced. This involves combining the instantaneous correction value with the compensation factor from the previous accounting period, and using a weighted moving average method to generate the compensation factor for the current accounting period, thereby correcting the initial carbon emissions. By setting a smoothing coefficient (or learning rate), the system can achieve a balance between maintaining the stability of historical trends and responding sensitively to current changes. The compensation factor for the previous accounting period is also determined in the same way, combining the correction value from the previous accounting period and the compensation factor from the accounting period before that.

[0062] In this embodiment of the invention, a dynamic compensation factor generation mechanism combining mean, fluctuation value, and weighted moving average method is introduced to achieve refined and smooth correction of model errors. It not only effectively utilizes statistical laws to eliminate systematic biases in the model, but also suppresses random disturbances caused by single data anomalies through smoothing processing. This prevents overfitting or overcorrection, making the final generated compensation factor highly adaptive. It can automatically and smoothly adjust the correction intensity when emission characteristics drift due to process adjustments or production line load changes in electronic equipment manufacturing enterprises, ensuring continuous output of high-precision and highly robust accounting results.

[0063] Based on the above embodiments, the correction value and compensation factor for the current accounting cycle can be calculated using the following formula: in, This is the correction value for the current accounting cycle; and These are the residual mean and residual fluctuation, respectively. and for and Weighting coefficients; , The first in the historical residual sequence The residual value for each accounting period. and The first Actual carbon emissions and calculated carbon emissions for each accounting cycle.

[0064] in, As a compensation factor for the current accounting cycle, Smoothing coefficient / learning rate This is the compensation factor for the previous accounting period.

[0065] Based on the above embodiments, the emission factor corresponding to the process production emission data is the by-product conversion factor; the carbon emissions corresponding to the process production emission data are determined based on the following steps: Based on process production emission data, we determine each fluorinated feed gas and its corresponding fluorinated byproduct gas used in the process production, and determine the gas residual rate, gas usage, gas utilization rate and first treatment removal efficiency of each fluorinated feed gas, as well as the second treatment removal efficiency of each fluorinated byproduct gas. By inputting the gas residual rate, gas usage, gas utilization rate, first treatment removal efficiency, by-product conversion factor, and second treatment removal efficiency into the sub-accounting model corresponding to the process production emission data, the carbon emissions corresponding to the process production emission data are obtained.

[0066] Specifically, for the most critical and complex production processes in the electronics manufacturing industry, this embodiment of the invention provides a specific method for calculating carbon emissions. That is, the carbon emissions corresponding to the aforementioned production process emission data can be determined through the following steps: In detail, the system first needs to perform in-depth analysis of the process chemistry to accurately identify each fluorinated raw material gas used in the current process formulation based on the process production emission data, such as CF4, C2F6, C3F8, CHF3, CH3F, NF3, SF6, C4F6, c-C4F8, CH2F2, C5F8, etc., as well as fluorinated by-product gases that may be generated in the plasma reaction environment, such as CF4, C2F6, C3F8, etc.

[0067] Based on this, the system further extracts or calculates key parameters determining emissions from process production emission data. These parameters include gas residue rate (the proportion of residual gas in the fluorinated feedstock gas container), gas usage (the total amount of gas actually entering the process equipment), gas utilization rate (the proportion of gas actually consumed in the reaction within the process chamber), first treatment removal efficiency (the removal ratio of unreacted fluorinated feedstock gas in the end-of-pipe waste gas treatment device), and second treatment removal efficiency (the removal ratio of generated fluorinated byproduct gas in the end-of-pipe waste gas treatment device). Simultaneously, the emission factor corresponding to the process production emission data can be determined from the target emission factor, namely the byproduct conversion factor (the mass ratio of each unit of fluorinated feedstock gas converted into each type of fluorinated byproduct gas).

[0068] Subsequently, the system inputs all the above parameters, including gas residual rate, gas usage, gas utilization rate, first treatment removal efficiency, by-product conversion factor, and second treatment removal efficiency, as a complete feature vector into a sub-accounting model specifically designed for carbon emission accounting of process production emission data. This sub-model integrates the mass balance principle and integrated regression algorithm, and can simultaneously calculate both the unreacted direct emissions of fluorine-containing raw material gas and the generated emissions of fluorine-containing by-product gas. Finally, it outputs a value that integrates the contributions of all gases, i.e., the carbon emission corresponding to the process production emission data.

[0069] In this embodiment of the invention, by delving into the manufacturing process mechanism of electronic devices, the entire process parameters from raw material gas input, reaction consumption, by-product generation to end-of-pipe treatment and removal are comprehensively considered, enabling precise accounting of fluorinated greenhouse gas emissions. This approach of converting physicochemical transformation into logical parameters and inputting them into the model completely changes the previous extensive model of roughly estimating based solely on purchase volume. It not only greatly improves the accuracy of fluorinated gas emission accounting but also helps enterprises accurately identify emission reduction potential points, such as improving utilization rates and optimizing the efficiency of treatment facilities, providing scientific data guidance for the improvement of green manufacturing processes.

[0070] Based on the above embodiments, the sub-accounting model corresponding to the process production emission data is used to determine the carbon emission of each fluorinated feedstock gas based on the gas residual rate, gas usage, gas utilization rate and the first treatment removal efficiency; and to determine the carbon emission of each fluorinated by-product gas based on the gas residual rate, gas usage, by-product conversion factor and the second treatment removal efficiency. The sub-accounting model corresponding to the process production emission data is also used to determine the carbon emissions corresponding to the process production emission data based on the carbon emissions of each fluorinated feedstock gas and its corresponding global warming potential, as well as the carbon emissions of each fluorinated by-product gas and its corresponding global warming potential.

[0071] Specifically, the operating logic of the sub-accounting model corresponding to the emission data of the above-mentioned process is divided into two core stages: emission calculation and total summarization.

[0072] In the first stage, the model processes fluorinated feedstock gases and fluorinated byproduct gases separately. For each fluorinated feedstock gas, the model calculates the actual physical emissions, i.e., carbon emissions, for each fluorinated feedstock gas based on the mass balance principle, using the input gas residual rate (excluding the portion that does not enter the process), gas usage (total baseline), gas utilization rate (determining how much gas is directly discharged without participating in the reaction), and first treatment removal efficiency (determining how much unreacted gas is reduced by the end-of-pipe waste treatment device).

[0073] Meanwhile, for each fluorinated byproduct gas, the model calculates the actual physical emissions of each fluorinated byproduct gas, i.e., the carbon emissions of each fluorinated byproduct gas, based on the gas residual rate, gas usage, and byproduct conversion factor (to determine how many byproducts were generated), and combined with the second treatment removal efficiency for each fluorinated byproduct gas.

[0074] In the second stage, to uniformly measure the contribution of different gases to the greenhouse effect, the model retrieves the latest GWP values ​​(derived from external factor data) for each fluorinated feedstock gas and fluorinated byproduct gas, multiplies them by the actual physical emissions calculated in the first stage, and converts the emissions of various fluorides into carbon dioxide emissions. Finally, the model sums up the carbon dioxide emissions corresponding to all fluorinated feedstock gases and fluorinated byproduct gases to determine the final carbon emissions corresponding to the process production emissions data.

[0075] In this embodiment of the invention, by constructing a rigorous logic of step-by-step calculation and quantity conversion in the sub-accounting model, the dual precise capture of raw material leakage and by-product generation in the electronic equipment manufacturing process is achieved. It not only meticulously considers the physical flow and chemical transformation of each fluorine-containing raw material gas, but also introduces the GWP value to realize the standardized measurement of the environmental impact of different greenhouse gases. This ensures that the accounting results not only comply with common scientific calculation standards such as IPCC, but also truly and comprehensively reflect the comprehensive climate impact under the complex process combination of enterprises, thereby providing scientific and rigorous data support for the enterprise's compliance report and emission reduction analysis.

[0076] Based on the above embodiments, carbon emission accounting is performed based on production activity data and target emission factors to obtain the total carbon emissions of the enterprise to be accounted for, and then the process further includes: Based on the carbon emissions corresponding to various types of emission data, and the proportion analysis of total carbon emissions, the carbon emission structure is obtained; Based on the total carbon emissions and the actual carbon emissions during the historical accounting period, a trend analysis is conducted to obtain the carbon emission trend. Based on various emission data, the corresponding carbon emission amount, total carbon emission, carbon emission structure, and carbon emission trend are used to generate a visualized carbon emission accounting report.

[0077] Specifically, in order to transform the accounting results into decision-making basis that has direct value to enterprise managers and regulatory agencies, this embodiment of the invention introduces an in-depth analysis and visualization report generation mechanism.

[0078] In detail, after completing the carbon emission accounting, the system immediately launches its data analysis engine. The first step is a carbon emission structure analysis. Based on the carbon emissions corresponding to the various emission data calculated above, and the total carbon emissions aggregated, the system calculates the proportion of each emission mechanism in the total, such as 10% from stationary fossil fuel combustion, 60% from industrial production emissions, and 30% from other sources. This proportion analysis clearly depicts the carbon emission composition of the company being accounted for, helping to identify the main emission sources.

[0079] Meanwhile, the system can perform trend analysis by comparing actual carbon emissions within historical accounting periods with current total carbon emissions. By comparing emission data from different time periods (such as monthly year-on-year, month-on-month, and annual trends), it generates carbon emission trends that reflect the trajectory of emissions over time. This not only shows whether a company's total emissions are increasing or decreasing, but also reveals the impact of seasonal fluctuations or specific events (such as capacity expansion and energy-saving technological upgrades) on emissions.

[0080] After that, the carbon emissions corresponding to various emission data, the total carbon emissions, the carbon emission structure, and the predicted future carbon emission trends can be integrated, and an intuitive and easy-to-read visual carbon emission accounting report can be automatically generated using a chart rendering engine (to generate pie charts, bar charts, line charts, etc.).

[0081] In this embodiment of the invention, by analyzing the structural proportions and tracking historical trends, data is transformed into management insights. This automatically generated, multi-dimensional, and visualized carbon emission accounting report can help enterprise managers to grasp the current emission status at a glance, identify key emission reduction areas, and evaluate management effectiveness, thereby significantly improving the decision-making efficiency and transparency of enterprise carbon management, while also greatly reducing the burden of manually compiling compliance reports.

[0082] Based on the above embodiments, the total carbon emissions of the enterprise to be accounted for can be calculated using the following formula: The amount of carbonaceous gases that produce greenhouse gases converted into CO2 via GWP: in, This represents the total carbon emissions of the enterprise to be accounted for, in tCO2e. This indicates the production and operation activities of the enterprise to be accounted for. The corresponding total carbon emissions, in tCO2e; the enterprises to be accounted for include one or more production and operation activities; This represents the carbon emissions generated by the combustion of stationary fossil fuels in each type of production and business activity, i.e., the carbon emissions corresponding to the stationary fossil fuel combustion data, in units of tCO2e; This represents the carbon emissions generated during the production process of each production and operation activity, i.e., the carbon emissions corresponding to the process production emission data, in units of tCO2e; This represents the amount of carbon emissions generated by fugitive emissions from each type of production and business activity, i.e., the carbon emissions corresponding to the fugitive emission data, in units of tCO2e; This represents the carbon emissions generated by waste treatment in each type of production and business activity, i.e., the carbon emissions corresponding to waste treatment emission data, in units of tCO2e; This represents the carbon emissions generated by the net purchase of electricity and heat in each type of production and business activity, i.e., the carbon emissions corresponding to the net purchase of electricity and heat emission data, in units of tCO2e.

[0083] The calculation process for carbon emissions corresponding to various emission data is as follows: The carbon emissions corresponding to stationary fossil fuel combustion data are calculated as follows: in, This represents the carbon emissions corresponding to the combustion data of stationary fossil fuels. Indicates the first The first type of fossil fuel combustion produces Carbon emissions of various greenhouse gases The total number of all types of stationary fossil fuels; Indicates the first The global warming potential of several greenhouse gases; Indicates the first The activity level of burning fixed fossil fuels; Indicates the first The first type of fossil fuel combustion produces The emission factors of various greenhouse gases.

[0084] The carbon emissions corresponding to the process production emission data are calculated as follows: in, This indicates the carbon emissions corresponding to the process production emission data; Indicates the first Carbon emissions from fluorine-containing raw material gases; Indicates the first The first type of fluorine-containing raw material gas produced Carbon emissions from fluorine-containing byproduct gases.

[0085] in, Indicates the first The residual gas content of a fluorine-containing feedstock gas; Indicates the first The amount of fluorine-containing raw material gas used; Indicates the first Type 1 Gas utilization rate of fluorine-containing raw material gases; Indicates the first The first treatment and removal efficiency of fluorine-containing raw material gases; Indicates the first Global warming potential of fluorine-containing feedstock gases.

[0086] In the formula, Indicates the first The beginning inventory of fluorine-containing feedstock gases in the current accounting period; Indicates the first The ending inventory of various fluorine-containing feedstock gases during the current accounting period; Indicates the first The amount of fluorine-containing feedstock gas purchased during the current accounting period; Indicates the first The sales or output volume of a fluorine-containing raw material gas during the current accounting period.

[0087] in, express The first type of fluorine-containing raw material gas production The conversion factor of a fluorine-containing byproduct gas, i.e., the byproduct conversion factor; Indicates the first The second treatment and removal efficiency of fluorine-containing byproduct gases; Indicates the first Global warming potential of fluorine-containing byproduct gases.

[0088] The carbon emissions corresponding to fugitive emissions data are calculated as follows: in, This represents the carbon emissions corresponding to fugitive emissions data; This indicates the amount of carbon emissions emitted by refrigeration equipment; Indicates the amount of carbon emissions emitted by a fire extinguisher; This indicates the amount of carbon emissions emitted by high-voltage switches.

[0089] In the formula, Indicates the first The first type of refrigeration equipment to emit Carbon emissions of various greenhouse gases This represents the total number of types of refrigeration equipment. Indicates the first The global warming potential of several greenhouse gases; Indicates the first The activity level of gases in a refrigeration device; Indicates the first The first type of refrigeration equipment to emit The emission factors of various greenhouse gases.

[0090] In the formula, Indicates the first The first type of fire extinguisher escaping Carbon emissions of various greenhouse gases; Indicates the first The global warming potential of several greenhouse gases; Indicates the first The activity level of various fire extinguishers; Indicates the first The first type of fire extinguisher escaping The emission factors of various greenhouse gases.

[0091] In the formula, This indicates the first emission during the use of the high-voltage switch. Carbon emissions of various greenhouse gases; Indicates the first The global warming potential of several greenhouse gases; Indicates the activity level of the high-voltage switch; This indicates the first emission during the use of the high-voltage switch. The emission factors of various greenhouse gases.

[0092] The carbon emissions corresponding to waste treatment and discharge data are calculated as follows: in, This indicates the carbon emissions corresponding to waste treatment and emission data; This indicates the amount of chemical oxygen demand (COD) removed in the anaerobic stage. This indicates the emission factor of CH4 during the wastewater treatment stage of production; This represents the global warming potential of CH4; This indicates the total amount of COD discharged into the anaerobic stage; This indicates the total amount of COD discharged from the anaerobic stage.

[0093] The carbon emissions corresponding to net purchased electricity and heat emissions are calculated as follows: in, This represents the carbon emissions corresponding to net purchased electricity and heat emissions data; Indicates the first The level of activity related to purchased energy sources (electricity and heat); Indicates the first CO2 emission factors corresponding to purchased energy sources; This represents the global warming potential of CO2.

[0094] The carbon emission accounting device provided by the present invention is described below. The carbon emission accounting device described below can be referred to in correspondence with the carbon emission accounting method described above.

[0095] Figure 3 This is a schematic diagram of the carbon emission accounting device provided by the present invention, as shown below. Figure 3 As shown, the device includes: The data acquisition unit 310 is used to acquire production activity data of the enterprise to be accounted for, as well as external factor data for carbon emission accounting; the production activity data comes from the internal information management system of the enterprise to be accounted for. The factor determination unit 320 is used to determine the target emission factor based on the production activity data and the external factor data; The carbon emission accounting unit 330 is used to perform carbon emission accounting based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

[0096] The carbon emission accounting device provided by this invention connects the enterprise's internal information management system with external authoritative data sources to build an automated and dynamic accounting system. It not only replaces traditional manual reporting with automated data collection, significantly reducing data acquisition costs and avoiding human error, but more importantly, it integrates real-time production activity data into the emission factor determination process. This allows the final target emission factor to dynamically adapt to the complex and ever-changing process environment of the electronic equipment manufacturing industry. As a result, while ensuring that the accounting results meet compliance requirements, it greatly improves the accuracy and timeliness of the accounting results, thus providing a reliable data foundation for enterprises to conduct refined carbon management and address carbon issues.

[0097] Based on the above embodiments, the factor determination unit 320 is used for: Based on the aforementioned external factor data, the official emission factors are determined; If the official emission factor update is outdated and / or does not cover the current process materials of the enterprise to be accounted for, then factor prediction is performed based on the process parameters in the production activity data to obtain the predicted emission factor, and the predicted emission factor is used as the target emission factor. Otherwise, the official emission factor shall be used as the target emission factor.

[0098] Based on the above embodiments, the carbon emission accounting unit 330 is used for: The production activity data is classified to obtain multiple types of emission data, including stationary fossil fuel combustion data, process production emission data, fugitive emission data, waste treatment emission data, and net purchased electricity and heat emission data. From the target emission factors, determine the emission factors corresponding to various types of emission data; The various types of emission data and their corresponding emission factors are input into the carbon emission accounting model to obtain the carbon emissions corresponding to the various types of emission data; the carbon emission accounting model contains multiple sub-accounting models, each of which corresponds to the carbon emission accounting of a type of emission data; each sub-accounting model is constructed on the basis of an integrated regression model; The total carbon emissions are determined based on the carbon emissions corresponding to the various types of emission data.

[0099] Based on the above embodiments, the carbon emission accounting unit 330 is used for: Based on the carbon emissions corresponding to the aforementioned emission data, a preliminary carbon emission amount is determined; Obtain the actual carbon emissions and calculated carbon emissions within the historical accounting period; Based on the residual values ​​between the actual carbon emissions and the calculated carbon emissions within the historical accounting period, a historical residual sequence is determined; Based on the historical residual sequence, a dynamic compensation factor is determined, and based on the dynamic compensation factor, the preliminary carbon emissions are corrected to obtain the total carbon emissions.

[0100] Based on the above embodiments, the dynamic compensation factor indicates that the compensation factor changes dynamically for different accounting periods; the carbon emission accounting unit 330 is used for: Statistical analysis was performed on the historical residual sequence to obtain the residual mean and residual fluctuation value; Based on the mean residual and the residual fluctuation value, the correction value for the current accounting period is determined; Based on the correction value of the current accounting period and the compensation factor of the previous accounting period, the compensation factor of the current accounting period is generated by the weighted moving average method.

[0101] Based on the above embodiments, the emission factor corresponding to the process production emission data is the by-product conversion factor; the carbon emission accounting unit 330 is used for: Based on the emission data of the process, each fluorinated feed gas and its corresponding fluorinated by-product gas used in the process are determined, and the gas residual rate, gas usage, gas utilization rate and first treatment removal efficiency of each fluorinated feed gas are determined, as well as the second treatment removal efficiency of each fluorinated by-product gas. The residual gas rate, the amount of gas used, the gas utilization rate, the first treatment and removal efficiency, the by-product conversion factor, and the second treatment and removal efficiency are input into the sub-accounting model corresponding to the process production emission data to obtain the carbon emissions corresponding to the process production emission data.

[0102] Based on the above embodiments, the sub-accounting model corresponding to the process production emission data is used to determine the carbon emission of each fluorine-containing feedstock gas based on the gas residual rate, the gas usage, the gas utilization rate, and the first treatment and removal efficiency; and to determine the carbon emission of each fluorine-containing by-product gas based on the gas residual rate, the gas usage, the by-product conversion factor, and the second treatment and removal efficiency. The sub-accounting model corresponding to the process production emission data is also used to determine the carbon emissions corresponding to the process production emission data based on the carbon emissions of each fluorinated feedstock gas and its corresponding global warming potential, as well as the carbon emissions of each fluorinated by-product gas and its corresponding global warming potential.

[0103] Based on the above embodiments, the device further includes a report generation unit, used for: Based on the carbon emissions corresponding to the various types of emission data and the proportion analysis of the total carbon emissions, the carbon emission structure is obtained; Based on the total carbon emissions and the actual carbon emissions during the historical accounting period, a trend analysis is performed to obtain the carbon emission trend. Based on the carbon emissions corresponding to the various types of emission data, the total carbon emissions, the carbon emission structure, and the carbon emission trends, a visualized carbon emission accounting report is generated.

[0104] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4As shown, the electronic device may include a processor 410, a communications interface 420, a memory 430, and a communication bus 440, wherein the processor 410, communications interface 420, and memory 430 communicate with each other via the communication bus 440. The processor 410 can call logical instructions in the memory 430 to execute a carbon emission accounting method. This method includes: acquiring production activity data of the enterprise to be accounted for, and external factor data for carbon emission accounting; the production activity data originates from the enterprise's internal information management system; determining a target emission factor based on the production activity data and the external factor data; and performing carbon emission accounting based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

[0105] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0106] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer is able to execute the carbon emission accounting method provided by the above methods, the method comprising: acquiring production activity data of the enterprise to be accounted for, and external factor data for carbon emission accounting; the production activity data originating from the internal information management system of the enterprise to be accounted for; determining a target emission factor based on the production activity data and the external factor data; and performing carbon emission accounting based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

[0107] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the carbon emission accounting method provided by the methods described above. This method includes: acquiring production activity data of the enterprise to be accounted for, and external factor data for carbon emission accounting; the production activity data originating from the enterprise's internal information management system; determining a target emission factor based on the production activity data and the external factor data; and performing carbon emission accounting based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

[0108] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0109] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A carbon emission accounting method, characterized in that, include: Obtain production activity data of the enterprise to be accounted for, as well as external factor data for carbon emission accounting; The production activity data comes from the internal information management system of the enterprise to be accounted for; Based on the production activity data and the external factor data, the target emission factor is determined; Carbon emission accounting is performed based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

2. The carbon emission accounting method according to claim 1, characterized in that, The determination of the target emission factor based on the production activity data and the external factor data includes: Based on the aforementioned external factor data, the official emission factors are determined; If the official emission factor update is outdated and / or does not cover the current process materials of the enterprise to be accounted for, then factor prediction is performed based on the process parameters in the production activity data to obtain the predicted emission factor, and the predicted emission factor is used as the target emission factor. Otherwise, the official emission factor shall be used as the target emission factor.

3. The carbon emission accounting method according to claim 1, characterized in that, The carbon emission calculation based on the production activity data and the target emission factor, to obtain the total carbon emissions of the enterprise to be calculated, includes: The production activity data is classified to obtain multiple types of emission data, including stationary fossil fuel combustion data, process production emission data, fugitive emission data, waste treatment emission data, and net purchased electricity and heat emission data. From the target emission factors, determine the emission factors corresponding to various types of emission data; The various types of emission data and their corresponding emission factors are input into the carbon emission accounting model to obtain the carbon emissions corresponding to the various types of emission data; the carbon emission accounting model contains multiple sub-accounting models, each of which corresponds to the carbon emission accounting of a type of emission data; each sub-accounting model is constructed on the basis of an integrated regression model; The total carbon emissions are determined based on the carbon emissions corresponding to the various types of emission data.

4. The carbon emission accounting method according to claim 3, characterized in that, Determining the total carbon emissions based on the carbon emissions corresponding to the various types of emission data includes: Based on the carbon emissions corresponding to the aforementioned emission data, a preliminary carbon emission amount is determined; Obtain the actual carbon emissions and calculated carbon emissions within the historical accounting period; Based on the residual values ​​between the actual carbon emissions and the calculated carbon emissions within the historical accounting period, a historical residual sequence is determined; Based on the historical residual sequence, a dynamic compensation factor is determined, and based on the dynamic compensation factor, the preliminary carbon emissions are corrected to obtain the total carbon emissions.

5. The carbon emission accounting method according to claim 4, characterized in that, The dynamic compensation factor indicates that the compensation factor changes dynamically in different accounting periods; The determination of the dynamic compensation factor based on the historical residual sequence includes: Statistical analysis was performed on the historical residual sequence to obtain the residual mean and residual fluctuation value; Based on the mean residual and the residual fluctuation value, the correction value for the current accounting period is determined; Based on the correction value of the current accounting period and the compensation factor of the previous accounting period, the compensation factor of the current accounting period is generated by the weighted moving average method.

6. The carbon emission accounting method according to any one of claims 3 to 5, characterized in that, The emission factor corresponding to the process emission data is the by-product conversion factor; the carbon emission amount corresponding to the process emission data is determined based on the following steps: Based on the emission data of the process, each fluorinated feed gas and its corresponding fluorinated by-product gas used in the process are determined, and the gas residual rate, gas usage, gas utilization rate and first treatment removal efficiency of each fluorinated feed gas are determined, as well as the second treatment removal efficiency of each fluorinated by-product gas. The residual gas rate, the amount of gas used, the gas utilization rate, the first treatment and removal efficiency, the by-product conversion factor, and the second treatment and removal efficiency are input into the sub-accounting model corresponding to the process production emission data to obtain the carbon emissions corresponding to the process production emission data.

7. The carbon emission accounting method according to claim 6, characterized in that, The sub-accounting model corresponding to the process production emission data is used to determine the carbon emission of each fluorinated feedstock gas based on the gas residual rate, the gas usage, the gas utilization rate, and the first treatment and removal efficiency; and to determine the carbon emission of each fluorinated by-product gas based on the gas residual rate, the gas usage, the by-product conversion factor, and the second treatment and removal efficiency. The sub-accounting model corresponding to the process production emission data is also used to determine the carbon emissions corresponding to the process production emission data based on the carbon emissions of each fluorinated feedstock gas and its corresponding global warming potential, as well as the carbon emissions of each fluorinated by-product gas and its corresponding global warming potential.

8. The carbon emission accounting method according to any one of claims 3 to 5, characterized in that, The process of calculating carbon emissions based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be calculated, further includes: Based on the carbon emissions corresponding to the various types of emission data and the proportion analysis of the total carbon emissions, the carbon emission structure is obtained; Based on the total carbon emissions and the actual carbon emissions during the historical accounting period, a trend analysis is performed to obtain the carbon emission trend. Based on the carbon emissions corresponding to the various types of emission data, the total carbon emissions, the carbon emission structure, and the carbon emission trends, a visualized carbon emission accounting report is generated.

9. A carbon emission accounting device, characterized in that, include: The data acquisition unit is used to acquire production activity data of the enterprise to be accounted for, as well as external factor data for carbon emission accounting; The production activity data comes from the internal information management system of the enterprise to be accounted for; A factor determination unit is used to determine a target emission factor based on the production activity data and the external factor data; The carbon emission accounting unit is used to perform carbon emission accounting based on the production activity data and the target emission factor to obtain the total carbon emissions of the enterprise to be accounted for.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the carbon emission accounting method as described in any one of claims 1 to 8.

11. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the carbon emission accounting method as described in any one of claims 1 to 8.

12. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the carbon emission accounting method as described in any one of claims 1 to 8.

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