Supply chain carbon footprint accounting and analysis method and device and electronic equipment

Abstract

The invention provides a supply chain carbon footprint accounting and analysis method and device and electronic equipment, and the method comprises the steps: determining a plurality of life cycle stages of a supply chain of a target product, and obtaining the key data of the target product in each life cycle stage; determining a carbon emission factor of the target product in each life cycle stage, and constructing a life cycle evaluation LCA model of the target product based on the carbon emission factor of each life cycle stage; inputting the preprocessed key data into an LCA model to obtain the carbon emission of each process of the target product; obtaining the carbon footprint of the target product based on the carbon emission of each process; analyzing the carbon emission of the target product based on the carbon footprint of the target product to obtain an analysis result; and obtaining a carbon emission optimization scheme recommendation result according to an analysis result. According to the method, the carbon emission data of the whole supply chain can be effectively integrated, carbon emission key points are identified, and a scientific basis is provided for an enterprise to formulate a low-carbon strategy, so that the carbon emission of a product in the whole life cycle is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of carbon footprint analysis, and in particular to a supply chain carbon footprint accounting and analysis method, device, electronic device and storage medium. Background Art

[0002] With the urgent need for technology in the context of global climate change, carbon emission control and carbon footprint statistics have become the focus of attention of enterprises and governments. Traditional carbon emission statistical methods usually only focus on the use stage of the target product, ignoring the carbon emissions of the entire supply chain, and cannot accurately reflect the impact of the target product on the overall environment. Life cycle assessment (LCA) is a cradle-to-grave assessment method that covers the entire life cycle of the target product and can be an effective tool for calculating the carbon footprint of the supply chain.

[0003] However, there is still a lack of LCA-based statistics and analysis methods for the carbon footprint of the entire supply chain. Therefore, it is of great practical significance to propose a method that can achieve accurate and systematic statistics and analysis of the carbon footprint of the supply chain. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0005] To this end, the first purpose of this application is to propose a supply chain carbon footprint accounting and analysis method, which can achieve systematic and accurate statistics and analysis of the carbon footprint of the entire supply chain of a product, and provide effective decision-making reference for enterprises and policy makers.

[0006] The second objective of this application is to propose a supply chain carbon footprint accounting and analysis device.

[0007] The third objective of the present application is to provide an electronic device.

[0008] A fourth objective of the present application is to provide a computer-readable storage medium.

[0009] A fifth object of the present application is to provide a computer program target product.

[0010] To achieve the above objectives, the first embodiment of the present application proposes a supply chain carbon footprint accounting and analysis method, including:

[0011] Determine multiple life cycle stages of a supply chain of a target product, and obtain key data of the target product at each of the life cycle stages;

[0012] Determine the carbon emission factor of the target product at each of the life cycle stages, and construct a life cycle assessment (LCA) model for the target product based on the carbon emission factors at each of the life cycle stages; wherein the LCA model includes the corresponding relationship between each process of the target product in each of the life cycle stages and the carbon emission factor, and the corresponding relationship is used to calculate the carbon emissions of the target product at each of the life cycle stages;

[0013] Preprocessing the key data of the target product at each life cycle stage, and inputting the preprocessed key data into the LCA model to obtain the carbon emissions of each process of the target product; and obtaining the carbon footprint of the target product based on the carbon emissions of each process;

[0014] Based on the carbon footprint of the target product, the carbon emissions of the target product are analyzed to obtain analysis results; and based on the analysis results, a carbon emission optimization solution recommendation result is obtained.

[0015] In some implementations, the step of inputting the pre-processed key data into the LCA model to obtain the carbon emissions of each process of the target product includes:

[0016] The key data after preprocessing is input into the LCA model to obtain the carbon emissions of each process of the target product; wherein, the Monte Carlo simulation method is used to process the uncertainty data existing in the LCA model after the key data is input to obtain the confidence interval of the carbon emission results.

[0017] In some implementations, obtaining the carbon footprint of the target product based on the carbon emissions of each process includes:

[0018] According to the LCA model, a carbon emission statistical formula for each life cycle stage is constructed;

[0019] Based on the carbon emissions of each process and the carbon emission statistical formula of each life cycle stage, the carbon footprint of the target product is obtained.

[0020] In some implementations, the step of analyzing the carbon emissions of the target product based on the carbon footprint of the target product to obtain an analysis result includes:

[0021] Based on the carbon footprint of the target product, the carbon emission focus of the target product in each life cycle stage is determined; and based on the carbon emission focus, the key process of carbon emission is determined.

[0022] In some implementations, the method further includes:

[0023] Tracking the carbon footprint of the target product in real time to obtain time series data of the carbon footprint of the target product;

[0024] Based on the time series data of the carbon footprint of the target product, obtaining carbon emission assessment results for different time periods;

[0025] According to the carbon emission assessment results in the different time periods, the reasons for the changes in the time trend of the carbon emissions are identified.

[0026] In some implementations, obtaining a carbon emission optimization solution recommendation result according to the analysis result includes:

[0027] The carbon emission strategy library is queried according to the analysis results to obtain the recommended results of the carbon emission optimization plan; the carbon emission strategy library includes the carbon emission calculation methods corresponding to different raw materials or different implementation methods corresponding to each process.

[0028] In some implementations, the multiple life cycle stages of the supply chain of the target product include the raw materials stage, the manufacturing stage, the transportation stage, the use stage and the waste disposal stage. The key data of the raw materials stage include the type of raw materials, the source of raw materials, and the carbon emission factor of raw materials during the mining and production process. The key data of the manufacturing stage include the evaporation, loss, process flow and energy utilization structure of the factory. The key data of the transportation stage include the transportation mode, transportation distance, fuel type and usage, and the carbon emission factor of the maximum transportation method. The key data of the use stage include the frequency of product use, energy consumption during use, and carbon emissions generated by maintenance. The key data of the waste disposal stage include waste recovery rate, waste disposal method and carbon emission factor of the disposal process.

[0029] In some implementations, determining the carbon emission factor of the target product at each life cycle stage includes:

[0030] Based on the carbon emission database, the carbon emission factor of the target product at each life cycle stage is determined.

[0031] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a supply chain carbon footprint accounting and analysis device, including:

[0032] A data acquisition module, used to determine multiple life cycle stages of the supply chain of a target product and acquire key data of the target product at each of the life cycle stages;

[0033] A model building module, used to determine the carbon emission factor of the target product at each of the life cycle stages, and to build a life cycle assessment (LCA) model for the target product based on the carbon emission factor at each of the life cycle stages; wherein the LCA model includes a correspondence between each process of the target product in each of the life cycle stages and the carbon emission factor, and the correspondence is used to calculate the carbon emissions of the target product at each of the life cycle stages;

[0034] A data calculation module, used to pre-process the key data of the target product at each life cycle stage, and input the pre-processed key data into the LCA model to obtain the carbon emissions of each process of the target product; and based on the carbon emissions of each process, obtain the carbon footprint of the target product;

[0035] The data analysis module is used to analyze the carbon emissions of the target product based on the carbon footprint of the target product to obtain analysis results; and obtain carbon emission optimization plan recommendation results based on the analysis results.

[0036] In some implementations, when the data calculation module inputs the key data after preprocessing into the LCA model to obtain the carbon emissions of each process of the target product, it is used to:

[0037] The key data after preprocessing is input into the LCA model to obtain the carbon emissions of each process of the target product; wherein, the Monte Carlo simulation method is used to process the uncertainty data existing in the LCA model after the key data is input to obtain the confidence interval of the carbon emission results.

[0038] In some implementations, when the data calculation module obtains the carbon footprint of the target product based on the carbon emissions of each process, it is used to:

[0039] According to the LCA model, a carbon emission statistical formula for each life cycle stage is constructed;

[0040] Based on the carbon emissions of each process and the carbon emission statistical formula of each life cycle stage, the carbon footprint of the target product is obtained.

[0041] In some implementations, when the data analysis module analyzes the carbon emissions of the target product based on the carbon footprint of the target product and obtains the analysis result, it is used to:

[0042] Based on the carbon footprint of the target product, the carbon emission focus of the target product in each life cycle stage is determined; and based on the carbon emission focus, the key process of carbon emission is determined.

[0043] In some implementations, the data analysis module is further configured to:

[0044] Tracking the carbon footprint of the target product in real time to obtain time series data of the carbon footprint of the target product;

[0045] Based on the time series data of the carbon footprint of the target product, obtaining carbon emission assessment results for different time periods;

[0046] According to the carbon emission assessment results in the different time periods, the reasons for the changes in the time trend of the carbon emissions are identified.

[0047] In some implementations, when the data analysis module obtains the carbon emission optimization solution recommendation result according to the analysis result, it is used to:

[0048] The carbon emission strategy library is queried according to the analysis results to obtain the recommended results of the carbon emission optimization plan; the carbon emission strategy library includes the carbon emission calculation methods corresponding to different raw materials or different implementation methods corresponding to each process.

[0049] In some implementations, the multiple life cycle stages of the supply chain of the target product include the raw materials stage, the manufacturing stage, the transportation stage, the use stage and the waste disposal stage. The key data of the raw materials stage include the type of raw materials, the source of raw materials, and the carbon emission factor of raw materials during the mining and production process. The key data of the manufacturing stage include the evaporation, loss, process flow and energy utilization structure of the factory. The key data of the transportation stage include the transportation mode, transportation distance, fuel type and usage, and the carbon emission factor of the maximum transportation method. The key data of the use stage include the frequency of product use, energy consumption during use, and carbon emissions generated by maintenance. The key data of the waste disposal stage include waste recovery rate, waste disposal method and carbon emission factor of the disposal process.

[0050] In some implementations, the model building module, when determining the carbon emission factor of the target product at each of the life cycle stages, is used to:

[0051] Based on the carbon emission database, the carbon emission factor of the target product at each life cycle stage is determined.

[0052] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method described in the first aspect.

[0053] To achieve the above-mentioned purpose, the fourth aspect of the present application proposes a computer-readable storage medium, in which computer-readable storage medium is stored computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect.

[0054] To achieve the above-mentioned purpose, the fifth aspect of the present application proposes a computer program target product, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0055] The supply chain carbon footprint accounting and analysis method, device and electronic equipment provided in this application realizes the carbon footprint statistics and analysis of the product supply chain based on the LCA model, which can effectively integrate the carbon emission data of the entire supply chain, identify the focus of carbon emissions, and realize the systematic and accurate statistics and analysis of the carbon footprint of the entire supply chain of the product, providing effective decision-making references for enterprises and policy makers, and providing a scientific basis for enterprises to formulate low-carbon strategies, thereby reducing the carbon emissions of products throughout their life cycle.

[0056] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0058] Figure 1 A schematic diagram of a supply chain carbon footprint calculation and analysis method provided in an embodiment of the present application;

[0059] Figure 2 A block diagram of a supply chain carbon footprint accounting and analysis device provided in an embodiment of the present application;

[0060] Figure 3 A block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0061] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0062] The following describes the supply chain carbon footprint accounting and analysis method, device and equipment of the embodiments of the present application with reference to the accompanying drawings.

[0063] Figure 1A schematic diagram of a flow chart of a supply chain carbon footprint accounting and analysis method provided in an embodiment of the present application.

[0064] It should be noted that the executor of the supply chain carbon footprint accounting and analysis method of the embodiment of the present application is the supply chain carbon footprint accounting and analysis device of the embodiment of the present application, and the supply chain carbon footprint accounting and analysis device can be configured in an electronic device so that the electronic device can perform the supply chain carbon footprint accounting and analysis function.

[0065] like Figure 1 As shown, the supply chain carbon footprint accounting and analysis method includes the following steps:

[0066] Step 101, determining multiple life cycle stages of the supply chain of a target product, and obtaining key data of the target product at each life cycle stage.

[0067] In some embodiments, the multiple life cycle stages of the supply chain of the target product include the raw material stage, the manufacturing stage, the transportation stage, the use stage, and the waste treatment stage.

[0068] Key data at the raw material stage may include, but are not limited to, the types of raw materials, the sources of raw materials, and the carbon emission factors of raw materials during the mining and production process.

[0069] Key data at the manufacturing stage may include, but are not limited to, evaporation, losses, process flows, and energy utilization structure of the plant.

[0070] Key data in the transportation stage may include, but are not limited to, transportation mode (such as road, rail, sea, air, etc.), transportation distance, fuel type and usage, and the carbon emission factor of the maximum transportation mode.

[0071] Key data during the usage phase may include, but are not limited to, frequency of product use, energy consumption during use, and carbon emissions from maintenance.

[0072] Key data at the waste treatment stage may include, but are not limited to, waste recovery rate, waste treatment method (such as loading, landfill, recycling) and carbon emission factor of the treatment process.

[0073] As an implementation method, data is collected through sensors, ERP systems, MES systems and other automated systems, and the key data obtained is input into a data analysis system using an API interface or a data import tool, and each step of this embodiment is implemented through the data analysis system. The data analysis system supports automatic and manual data input.

[0074] Exemplarily, the target product may be a car, and data from each stage of the car from production of various raw materials to scrapping and recycling is collected and input into the data analysis system.

[0075] Step 102, determine the carbon emission factors of the target product at each life cycle stage, and construct a life cycle assessment (LCA) model for the target product based on the carbon emission factors at each life cycle stage; wherein the LCA model includes the correspondence between each process of the target product in each life cycle stage and the carbon emission factor, and the correspondence is used to calculate the carbon emissions of the target product at each life cycle stage.

[0076] As an implementation method, the carbon emission factor of the target product at each life cycle stage is determined, including: determining the carbon emission factor of the target product at each life cycle stage based on a carbon emission database.

[0077] Exemplarily, the carbon emission factors of each life cycle stage are obtained based on an authoritative carbon emission database (such as Ecoinvent, CML, etc.), or the carbon emission factors of each life cycle stage are customized.

[0078] Step 103, preprocessing the key data of the target product at each life cycle stage, and inputting the preprocessed key data into the LCA model to obtain the carbon emissions of each process of the target product; and based on the carbon emissions of each process, obtaining the carbon footprint of the target product.

[0079] As an implementation method, the key data of the target product at each life cycle stage is preprocessed, including: data cleaning and data standardization of the key data of the target product at each life cycle stage. The data cleaning algorithm is used to eliminate noise and outliers in the key data, and the data is repaired to ensure the accuracy and consistency of the data. The key data of each life cycle stage is standardized to facilitate the loading of raw data of different units and different formats.

[0080] In some embodiments, the key data after preprocessing is input into the LCA model to obtain the carbon emissions of each process of the target product; including: inputting the key data after preprocessing into the LCA model to obtain the carbon emissions of each process of the target product; wherein, the Monte Carlo simulation method is used to process the uncertainty data existing in the LCA model after the key data is input to obtain the confidence interval of the carbon emission results.

[0081] In some embodiments, the carbon footprint of the target product is obtained based on the carbon emissions of each process; including: constructing a carbon emission statistical formula for each life cycle stage according to the LCA model; and obtaining the carbon footprint of the target product based on the carbon emissions of each process and the carbon emission statistical formula for each life cycle stage.

[0082] It can be understood that the standardized key data is substituted into the LCA model, and the carbon emission values ​​of each life cycle stage are calculated through the carbon emission statistical formula. In order to improve the calculation accuracy, the Monte Carlo simulation method is used to process the uncertain data and give the confidence interval of the carbon emission results.

[0083] As an implementation method, the processes of each life cycle stage of the target product can be split according to the standard ISO 140. In the LCA model, the corresponding relationship between each sub-process (i.e. each process) and the carbon emission factor can be established so that the carbon emissions of each life cycle stage can be calculated. According to the defined LAC model, a statistical formula is constructed, and the carbon emissions of each life cycle stage are combined through formulas to obtain the carbon emission values ​​of each life cycle stage and the total carbon emission value of the target product.

[0084] In some embodiments, the carbon emissions of the supply chain of the target product are updated dynamically and in real time to adapt to monitored changes in supply chain conditions (such as supplier changes or transportation mode adjustments).

[0085] Step 104, based on the carbon footprint of the target product, analyze the carbon emissions of the target product to obtain analysis results; and obtain a carbon emission optimization solution recommendation result based on the analysis results.

[0086] In some embodiments, based on the carbon footprint of the target product, the carbon emissions of the target product are analyzed to obtain analysis results; including: based on the carbon footprint of the target product, determining the carbon emission focus of the target product in each life cycle stage; and based on the carbon emission focus, determining the key processes of carbon emissions.

[0087] It can be understood as conducting a carbon emission contribution analysis, dividing the carbon footprint according to the various life cycle stages of the supply chain, showing the carbon emission focus in the raw materials, manufacturing, transportation, use and waste treatment stages, and identifying the key links of carbon emissions, namely the key processes.

[0088] In some embodiments, an analysis of factors affecting carbon emissions can also be performed. Based on the same factor analysis, the main factors affecting carbon emissions (such as high-carbon raw materials, long-distance transportation, etc.) can be determined to provide optimization directions.

[0089] In some embodiments, the method also includes: tracking the carbon footprint of the target product in real time to obtain time series data of the carbon footprint of the target product; obtaining carbon emission assessment results for different time periods based on the time series data of the carbon footprint of the target product; and identifying the reasons for changes in the time trend of carbon emissions based on the carbon emission assessment results for different time periods.

[0090] In this way, carbon footprint trend analysis can be achieved. The historical data of the target product can be combined with time series analysis methods to generate a carbon emission trend report, evaluate the changes in carbon emissions in different time periods, and identify the reasons for the increase or decrease in emissions.

[0091] In some embodiments, based on the analysis results obtained from various data analyses, a carbon emission contribution report, an influencing factor report, a trend analysis report, etc. can be generated.

[0092] In some embodiments, based on the analysis results, a recommended result of a carbon emission optimization scheme is obtained; including: querying a carbon emission strategy library based on the analysis results to obtain a recommended result of a carbon emission optimization scheme; the carbon emission strategy library includes carbon emission calculation methods corresponding to different raw materials or different implementation methods corresponding to each process.

[0093] Therefore, based on the carbon footprint statistics and analysis results, carbon emission strategies are recommended, that is, carbon emission optimization solutions are recommended. For example, replacing high-carbon emission sources, optimizing production processes, choosing low-carbon transportation methods, improving energy efficiency during the use phase, etc. As well as optimizing supplier selection, it is recommended to choose suppliers or transporters with low emissions, optimize the supply chain layout, and reduce unnecessary carbon emissions.

[0094] In some embodiments, it is also possible to simulate changes in carbon emissions by setting different simulation scenarios (such as different raw materials, different modes of transportation, etc.), to help companies evaluate the carbon effects of different optimization plans before making decisions.

[0095] Exemplarily, the data analysis system inputs key data of each life cycle stage into the LCA model, calculates the total carbon footprint of the car, and generates an analysis report showing the carbon emission highlights of each life cycle stage. At the same time, the data analysis system provides recommendations for low-carbon material substitution and transportation route optimization.

[0096] The supply chain carbon footprint accounting and analysis method of the embodiment of the present application realizes the carbon footprint statistics and analysis of the product supply chain based on the LCA model, can effectively integrate the carbon emission data of the entire supply chain, identify the focus of carbon emissions, and realize the systematic and accurate statistics and analysis of the carbon footprint of the entire supply chain of the product, so as to provide effective decision-making reference for enterprises and policy makers and provide a scientific basis for enterprises to formulate low-carbon strategies, thereby reducing the carbon emissions of products throughout their life cycle.

[0097] In order to implement the above-mentioned embodiment, the present application also proposes a supply chain carbon footprint accounting and analysis device. Figure 2 A block diagram of a supply chain carbon footprint accounting and analysis device provided in an embodiment of the present application. Figure 2 As shown, the supply chain carbon footprint accounting and analysis device may include: a data acquisition module 201 , a model building module 202 , a data calculation module 203 and a data analysis module 204 .

[0098] The data acquisition module 201 is used to determine multiple life cycle stages of the supply chain of the target product and obtain key data of the target product at each life cycle stage;

[0099] The model building module 202 is used to determine the carbon emission factors of the target product at each life cycle stage, and build a life cycle assessment (LCA) model of the target product based on the carbon emission factors at each life cycle stage; wherein the LCA model includes the corresponding relationship between each process and the carbon emission factor at each life cycle stage of the target product, and the corresponding relationship is used to calculate the carbon emissions of the target product at each life cycle stage;

[0100] The data calculation module 203 is used to pre-process the key data of the target product at each life cycle stage, and input the pre-processed key data into the LCA model to obtain the carbon emissions of each process of the target product; and based on the carbon emissions of each process, obtain the carbon footprint of the target product;

[0101] The data analysis module 204 is used to analyze the carbon emissions of the target product based on the carbon footprint of the target product to obtain analysis results; and obtain carbon emission optimization solution recommendation results based on the analysis results.

[0102] Furthermore, in a possible implementation of the embodiment of the present application, when the data calculation module 203 inputs the key data after preprocessing into the LCA model to obtain the carbon emissions of each process of the target product, it is used to:

[0103] The key data after preprocessing is input into the LCA model to obtain the carbon emissions of each process of the target product; the Monte Carlo simulation method is used to process the uncertainty data existing in the LCA model after the key data is input to obtain the confidence interval of the carbon emission results.

[0104] Furthermore, in a possible implementation of the embodiment of the present application, when the data calculation module 203 obtains the carbon footprint of the target product based on the carbon emissions of each process, it is used to:

[0105] According to the LCA model, a statistical formula for carbon emissions at each life cycle stage is constructed;

[0106] Based on the carbon emissions of each process and the statistical formula of carbon emissions in each life cycle stage, the carbon footprint of the target product is obtained.

[0107] Further, in a possible implementation of the embodiment of the present application, when the data analysis module 204 analyzes the carbon emissions of the target product based on the carbon footprint of the target product and obtains the analysis result, it is used to:

[0108] Based on the carbon footprint of the target product, determine the carbon emission focus of the target product at each life cycle stage; and based on the carbon emission focus, determine the key processes of carbon emissions.

[0109] Furthermore, in a possible implementation of the embodiment of the present application, the data analysis module 204 is further configured to:

[0110] Track the carbon footprint of the target product in real time and obtain the time series data of the carbon footprint of the target product;

[0111] Based on the time series data of the carbon footprint of the target product, the carbon emission assessment results in different time periods are obtained;

[0112] Based on the carbon emission assessment results in different time periods, identify the reasons for changes in the time trend of carbon emissions.

[0113] Furthermore, in a possible implementation of the embodiment of the present application, when the data analysis module 204 obtains the carbon emission optimization solution recommendation result according to the analysis result, it is used to:

[0114] The carbon emission strategy library is queried based on the analysis results to obtain the recommended results of the carbon emission optimization plan; the carbon emission strategy library includes the carbon emission calculation methods corresponding to different raw materials or different implementation methods corresponding to each process.

[0115] Furthermore, in a possible implementation of an embodiment of the present application, the multiple life cycle stages of the supply chain of the target product include a raw material stage, a manufacturing stage, a transportation stage, a use stage, and a waste disposal stage. The key data of the raw material stage include the type of raw materials, the source of the raw materials, and the carbon emission factor of the raw materials during the mining and production process. The key data of the manufacturing stage include the evaporation, loss, process flow, and energy utilization structure of the factory. The key data of the transportation stage include the transportation mode, transportation distance, fuel type and usage, and the carbon emission factor of the maximum transportation mode. The key data of the use stage include the frequency of product use, energy consumption during use, and carbon emissions generated by maintenance. The key data of the waste disposal stage include waste recovery rate, waste disposal method, and carbon emission factor of the disposal process.

[0116] Furthermore, in a possible implementation of the embodiment of the present application, when determining the carbon emission factor of the target product at each life cycle stage, the model building module 202 is used to:

[0117] Based on the carbon emission database, determine the carbon emission factors of the target product at each life cycle stage.

[0118] It should be noted that the aforementioned explanations of the embodiment of the supply chain carbon footprint accounting and analysis method are also applicable to the supply chain carbon footprint accounting and analysis device of this embodiment, and will not be repeated here.

[0119] In order to implement the above embodiment, the present application also proposes an electronic device. Figure 3 , Figure 3 is a block diagram of an electronic device provided in an embodiment of the present application. Figure 3 As shown, the electronic device 300 includes: a processor 301, and a memory 302 communicatively connected to the processor 301; the memory 302 stores computer-executable instructions; the processor 301 executes the computer-executable instructions stored in the memory to implement the method provided in the aforementioned embodiment.

[0120] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0121] In order to implement the above embodiments, the present application also proposes a computer program target product, including a computer program, which implements the method provided by the above embodiments when executed by a processor.

[0122] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0123] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0124] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0125] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0126] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0127] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0128] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent target product, it may also be stored in a computer-readable storage medium.

[0129] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A supply chain carbon footprint accounting and analysis method, characterized in that: The following steps are involved: Determine multiple life cycle stages of a supply chain of a target product, and obtain key data of the target product at each of the life cycle stages; Determine the carbon emission factor of the target product at each of the life cycle stages, and construct a life cycle assessment (LCA) model for the target product based on the carbon emission factors at each of the life cycle stages; wherein the LCA model includes the corresponding relationship between each process of the target product in each of the life cycle stages and the carbon emission factor, and the corresponding relationship is used to calculate the carbon emissions of the target product at each of the life cycle stages; Preprocessing the key data of the target product at each life cycle stage, and inputting the preprocessed key data into the LCA model to obtain the carbon emissions of each process of the target product; and obtaining the carbon footprint of the target product based on the carbon emissions of each process; Based on the carbon footprint of the target product, the carbon emissions of the target product are analyzed to obtain analysis results; and based on the analysis results, a carbon emission optimization solution recommendation result is obtained.

2. The method according to claim 1, characterized in that The key data after preprocessing is input into the LCA model to obtain the carbon emissions of each process of the target product; including: The key data after preprocessing is input into the LCA model to obtain the carbon emissions of each process of the target product; wherein, the Monte Carlo simulation method is used to process the uncertainty data existing in the LCA model after the key data is input to obtain the confidence interval of the carbon emission results.

3. The method according to claim 1, characterized in that The step of obtaining the carbon footprint of the target product based on the carbon emissions of each process comprises: According to the LCA model, a carbon emission statistical formula for each life cycle stage is constructed; Based on the carbon emissions of each process and the carbon emission statistical formula of each life cycle stage, the carbon footprint of the target product is obtained.

4. The method according to claim 1, characterized in that: The step of analyzing the carbon emissions of the target product based on the carbon footprint of the target product to obtain an analysis result includes: Based on the carbon footprint of the target product, the carbon emission focus of the target product in each life cycle stage is determined; and based on the carbon emission focus, the key process of carbon emission is determined.

5. The method according to claim 1, characterized in that The method further comprises: Tracking the carbon footprint of the target product in real time to obtain time series data of the carbon footprint of the target product; Based on the time series data of the carbon footprint of the target product, obtaining carbon emission assessment results for different time periods; According to the carbon emission assessment results in the different time periods, the reasons for the changes in the time trend of the carbon emissions are identified.

6. The method according to claim 1, characterized in that The step of obtaining a carbon emission optimization solution recommendation result according to the analysis result includes: The carbon emission strategy library is queried according to the analysis results to obtain the recommended results of the carbon emission optimization plan; the carbon emission strategy library includes the carbon emission calculation methods corresponding to different raw materials or different implementation methods corresponding to each process.

7. The method according to claim 1, characterized in that The multiple life cycle stages of the supply chain of the target product include the raw material stage, manufacturing stage, transportation stage, use stage and waste disposal stage. The key data of the raw material stage include the type of raw materials, the source of raw materials, and the carbon emission factor of raw materials during the mining and production process. The key data of the manufacturing stage include the evaporation, loss, process flow and energy utilization structure of the factory. The key data of the transportation stage include the transportation mode, transportation distance, fuel type and usage, and the carbon emission factor of the maximum transportation method. The key data of the use stage include the frequency of product use, energy consumption during use, and carbon emissions generated by maintenance. The key data of the waste disposal stage include waste recovery rate, waste disposal method and carbon emission factor of the disposal process.

8. The method according to claim 1, characterized in that Determining the carbon emission factor of the target product at each life cycle stage includes: Based on the carbon emission database, the carbon emission factor of the target product at each life cycle stage is determined.

9. A supply chain carbon footprint accounting and analysis device, characterized in that: include: A data acquisition module, used to determine multiple life cycle stages of the supply chain of a target product and acquire key data of the target product at each of the life cycle stages; A model building module, used to determine the carbon emission factor of the target product at each of the life cycle stages, and to build a life cycle assessment (LCA) model for the target product based on the carbon emission factor at each of the life cycle stages; wherein the LCA model includes a correspondence between each process of the target product in each of the life cycle stages and the carbon emission factor, and the correspondence is used to calculate the carbon emissions of the target product at each of the life cycle stages; A data calculation module, used to pre-process the key data of the target product at each life cycle stage, and input the pre-processed key data into the LCA model to obtain the carbon emissions of each process of the target product; and based on the carbon emissions of each process, obtain the carbon footprint of the target product; The data analysis module is used to analyze the carbon emissions of the target product based on the carbon footprint of the target product to obtain analysis results; and obtain carbon emission optimization plan recommendation results based on the analysis results.

10. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.

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