Carbon emission full life cycle management system and method

Abstract

The invention belongs to the field of carbon management, and provides a carbon emission full life cycle management system and method, and the system comprises a data collection unit which is used for collecting carbon checking task data of a multi-level supply chain, and the multi-level supply chain comprises material management and product management; the data processing unit is used for modeling and associating a multi-level supply chain carbon footprint factor according to the carbon inventory task data to form carbon emission full life cycle accounting data; the visualization unit is used for visualizing the carbon inventory task data and the accounting data; and the report generation unit is used for generating an interrogation report according to the visual carbon interrogation task data and the accounting data. According to the invention, modeling and accounting functions are provided for complex technological processes of multi-level suppliers in a complex supply chain, and it is ensured that an enterprise can comprehensively and accurately calculate carbon emission data.

Description

TECHNICAL FIELD

[0001] The present disclosure belongs to the field of carbon management, and particularly relates to a carbon emission full life cycle management system and method. BACKGROUND

[0002] In the context of increasing global emphasis on environmental protection and sustainable development, enterprise carbon management plays a crucial role in supply chain management. Traditional supply chain management mainly focuses on cost control, efficiency improvement and quality assurance, while the management of carbon emissions is relatively weak. However, with the increasing strictness of carbon emission policies and the growing demand for green products from consumers, enterprises have gradually realized the importance of supply chain carbon management and have begun to explore relevant technical solutions.

[0003] Existing supply chain carbon management technologies mainly focus on the collection and preliminary analysis of supplier carbon emission data. For example, some enterprises collect supplier carbon emission data manually and conduct simple statistical analysis. Although this method can provide carbon emission information to some extent, it has many limitations. First, manual data collection is not only time-consuming and labor-intensive, but also prone to inaccurate or missing data, resulting in low efficiency of carbon management. Second, existing technologies usually do not effectively integrate carbon management with other aspects of the supply chain (such as material management, product design, etc.), resulting in the isolation of carbon management and the inability to achieve collaborative optimization of the supply chain. In addition, existing technologies are difficult to achieve real-time monitoring and dynamic analysis of supply chain carbon emissions, which cannot timely detect abnormal carbon emissions and take measures, resulting in the lag of carbon management. Finally, existing technologies mainly focus on the total amount of carbon emissions, and the full life cycle management of carbon footprint of materials and products is not perfect, which cannot fully assess the green level of products and is not conducive to optimization in the product design stage. SUMMARY

[0004] To solve the above problems, the present disclosure provides a carbon emission full life cycle management system, which comprises: a data collection unit for collecting carbon inventory task data of a multi-level supply chain, the multi-level supply chain comprising material management and product management; a data processing unit for modeling and correlating carbon footprint factors of the multi-level supply chain according to the carbon inventory task data, forming carbon emission full life cycle accounting data; a visualization unit for visualizing the carbon inventory task data and the accounting data; a report generation unit for generating an inventory report according to the visualized carbon inventory task data and the accounting data.

[0005] Further, the carbon inventory task data includes a supplier name, an inventory unit, an inventory period, and emission source information, wherein the emission source information includes an emission source name, an emission source consumption, an emission source type, and an attribute value field corresponding to the emission source type.

[0006] Further, the emission source consumption includes: directly collecting the emission source consumption, or integrating the emission source with an Internet of Things device under an inventory partition, and collecting the emission source consumption through the Internet of Things device.

[0007] Further, the data collection unit includes a first matching module and a second matching module, the first matching module is configured to match the collected data field with stored past data fields, and if a complete match is found, the task creation fails; if no match is found, the data collection continues; the second matching unit is configured to match the collected data with an embedded carbon inventory template.

[0008] Further, the data collection unit further includes a verification module and an integrity module, the verification module is configured to perform compliance verification and format processing on the collected carbon inventory task data; the integrity module is configured to traverse the collected carbon inventory task data, check whether there is a null value, and if there is a null value, trigger a data checking operation until the carbon inventory task data is completely collected.

[0009] Further, the system further includes an embedding unit, the embedding unit is configured to embed an emission factor library, and the data processing unit is connected to the emission factor library to call emission factors, carbon oxidation rates, low calorific values, and oxidation coefficients, and combine them with the emission source consumption to determine accounting data.

[0010] Further, the report generation unit includes a third matching module and an embedding module, the third matching module is configured to query and assemble task information, accounting model information, and accounting table information according to the inventory task, and match and fill the inventory information field according to the assembled information to ensure the accuracy of the report content and the task data; the embedding module is configured to embed the task data into a carbon inventory template to generate an inventory report.

[0011] The present disclosure also provides a carbon emission full life cycle management method, which includes: collecting carbon inventory task data of a multi-level supply chain, the multi-level supply chain including material management and product management; According to the carbon inventory task data, modeling and correlating multi-level supply chain carbon footprint factors, forming carbon emission life cycle accounting data; Visualizing carbon inventory task data and the accounting data; Generating an inventory report according to the visualized carbon inventory task data and the accounting data.

[0012] Further, collecting carbon inventory task data of a multi-level supply chain includes: Matching the collected data fields with the stored past data fields. If there is a complete match, the task creation fails. If there is no match, data collection continues; Matching the collected data with the embedded carbon inventory template.

[0013] Further, collecting carbon inventory task data of a multi-level supply chain includes: Conducting compliance verification and formatting processing on the collected carbon inventory task data; Traversing the collected carbon inventory task data to check for empty values. If there are empty values, trigger data checking operations until the carbon inventory task data is completely collected.

[0014] Further, generating an inventory report according to the visualized carbon inventory task data and the accounting data includes: According to the inventory task, query and assemble task information, accounting model information and accounting table information, and according to the assembled information, match and fill in the inventory information field to ensure the accuracy of the report content and the task data; Embedding the task data into the carbon inventory template to generate the inventory report.

[0015] The present disclosure also provides an electronic device, which includes at least one processor and at least one memory, the memory being in data connection with the processor, wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of the above The present disclosure also provides a computer storage medium, characterized in that the computer storage medium stores one or more instructions, which when executed by one or more computers cause the one or more computers to implement the method of any one of the above.

[0016] The carbon emission full life cycle management system and method of the present disclosure reduces manual operation, reduces error rate, ensures the accuracy and integrity of carbon emission data, meets the strict requirements of supply chain carbon management, improves data processing efficiency and accuracy, provides modeling and accounting functions for complex process flows of multi-level suppliers in complex supply chains, ensures that enterprises can fully and accurately account for carbon emission data, supports full-process modeling and accounting of complex process flows, directly supports enterprises to complete the compliance requirements of supply chain carbon management, automatically generates required declaration reports, reduces the operating costs and error risks of enterprises, and realizes compliance support; through full-process automation and intelligent operation, it helps enterprises to efficiently and cost-effectively complete carbon emission accounting and declaration, and improves the international competitiveness of enterprises; through seamless integration with existing energy management platforms, material management systems and the like of enterprises, it breaks down data silos, forms a unified management view, improves the overall management efficiency of enterprises, and realizes system integration and data sharing; supports cloud data storage and sharing, realizes real-time updating and cross-departmental cooperation of data through cloud storage technology, ensures the security and availability of data, and reduces the hardware costs of enterprises.

[0017] Other features and advantages of the present disclosure will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present disclosure. The objects and other advantages of the present disclosure can be realized and obtained by the structures indicated in the specification, claims and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are some embodiments of the present disclosure, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0019] Figure 1 A specific process flow diagram of supply chain carbon management in the embodiment of the present disclosure is shown; Figure 2 A structure diagram of the carbon emission full life cycle management system in the embodiment of the present disclosure is shown; Figure 3 A flow diagram of the carbon emission full life cycle management method in the embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0020] To make the purposes, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are some but not all of the embodiments of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present disclosure.

[0021] To solve the problems in the prior art, the present disclosure develops an automated supply chain carbon management platform to efficiently collect and manage supplier carbon emission data, reduce manual intervention, improve data accuracy and integrity, and thus significantly improve the efficiency of carbon management. Secondly, the present disclosure effectively integrates carbon management with other links of the supply chain (such as material management, product design, etc.), realizes collaborative optimization of the supply chain, and improves the overall green level of the supply chain. In addition, the present disclosure realizes real-time monitoring and dynamic analysis of supply chain carbon emissions by introducing real-time monitoring and dynamic analysis functions, discovers abnormal carbon emissions in time and takes measures, and improves the timeliness and effectiveness of carbon management. Finally, the present disclosure establishes a carbon footprint life cycle management model of materials and products to comprehensively evaluate the green level of products, provide optimization suggestions for enterprises in the product design stage, promote the sustainable development of the supply chain, and the following describes the supply chain carbon management platform of the present disclosure and the carbon footprint life cycle management model of materials and products established according to the supply chain carbon management platform and the specific process.

[0022] The present disclosure protects a carbon emission life cycle management system, Figure 2 The carbon emission life cycle management system structure schematic diagram in the embodiments of the present disclosure is shown, Figure 2 In the present disclosure, the system includes a data acquisition unit, a data processing unit, a visualization unit and a report generation unit connected in communication, the data acquisition unit is used to acquire carbon inventory task data of a multi-level supply chain, the multi-level supply chain includes material management and product management; the data processing unit is used to model and correlate carbon footprint factors of the multi-level supply chain according to the carbon inventory task data, and form carbon emission life cycle accounting data; the visualization unit is used to visualize the carbon inventory task data and the accounting data; the report generation unit is used to generate inventory reports according to the visualized carbon inventory task data and the accounting data.

[0023] In the present disclosure, the carbon inventory task data includes supplier name, inventory unit, inventory period and emission source information, wherein the emission source information includes emission source name, emission source consumption, emission source type and attribute value field corresponding to the emission source type.

[0024] Specifically, the emission source consumption is collected by directly collecting the emission source consumption, or by integrating the emission source and the Internet of Things device under the inspection partition to collect the emission source consumption through the Internet of Things device. Specifically, when the data collection unit of the present disclosure collects detailed emission source information in the inspection task, the emission source information of the present disclosure includes but is not limited to the emission source name, the emission source type, etc. A suitable data collection method can be selected, and a voucher is uploaded to verify the accuracy and legality of the collection, which includes a voucher in the form of a document, a picture, etc. The emission source consumption entered manually by the user can be collected, and the emission source consumption is a corresponding numerical value directly input by the user. The data collection unit performs data verification and formatting processing. The emission source can also be integrated with the Internet of Things (IoT, Internet of Things) device under the inspection partition to realize real-time collection of consumption data and the like.

[0025] In the present disclosure, the data collection unit collects information input by the user. After the user logs in through the system platform, the user enters the main interface and finds the "supply chain carbon management" module. In this module, the user can locate the "carbon inspection" option through the navigation structure, and create an inspection task in the "inspection task" module. The system guides the user to find the specific location of the "carbon inspection" option through the navigation structure of the front-end interface. The user triggers the creation process of the "inspection task" module through interface interaction, and the system responds to the corresponding request in the background according to the user operation.

[0026] In the present disclosure, the data collection unit includes a first matching module and a second matching module, The first matching module is used to match the collected data field with the stored past data field. If the matching is complete, the task creation fails. If the matching is not complete, the data collection continues; The second matching unit is used to match the collected data with the embedded carbon inspection template.

[0027] The disclosure specifically describes the process of collecting carbon inspection task data by the first matching module and the second matching module. When collecting task information (including supplier name, inspection unit, inspection period, and other detailed information) in the inspection task module, the data collection unit uses an automatic matching algorithm to perform real-time matching between the data field input by the user and the corresponding field in the database. First, check whether the primary key data field "inspection task name" is completely matched with the primary key data field in the past data record in the database. If there is a complete match, the task creation fails, preventing the generation of duplicate tasks, and prompting the user; otherwise, if the matching is unsuccessful, the task creation is successful, and then subsequent operations are performed; when collecting task information in the inspection task module, the second matching module completes the comprehensive scanning and processing of the 12-month reporting template through the embedded carbon inspection template, can efficiently locate and extract the subtasks that need to be reported, and reduce the user's manual work burden. The user can easily select the subtasks that need to be reported in the system interface, and fill in according to the specific requirements and standards of each month. Through real-time interaction with the embedded template, it is ensured that the data filled in by the user is highly matched with the structure and requirements of the template. This technical design improves the user's reporting efficiency while ensuring the consistency and accuracy of the data.

[0028] In the embodiment of the disclosure, the automatic matching algorithm includes any one of a brute force matching algorithm, a Knuth-Morris-Pratt (KMP) algorithm, a Boyer-Moore (BM) algorithm, a Sunday algorithm, and a Rabin-Karp algorithm. It should be noted that in the specific implementation process, the specific algorithm is not limited to be explained, as long as it can perform real-time matching between the data field input by the user and the corresponding field in the database.

[0029] In the disclosure, the data collection unit further includes a verification module and an integrity module, The verification module is used for compliance verification and formatting processing of the collected carbon inspection task data; The integrity module is used for traversing the collected carbon inspection task data, checking whether there is a null value, and if there is a null value, triggering a data checking operation until the carbon inspection task data is completely collected.

[0030] Specifically, after the data acquisition unit collects the carbon inventory task information, it triggers the data transmission to the integrity module, including the selected emission source type and the corresponding attribute value field. The integrity module identifies the selected emission source type, calls the internal algorithm for type classification, to clearly identify the attribute value field required for the emission source. In the present disclosure, the emission source type is automatically classified by the following steps: first, check whether the user has manually selected the type, if not, match the characteristics of the filled field (such as field name, value pattern, etc.) through the pre-set rules for preliminary classification; when the rule matching is not clear, call the machine learning model to analyze the deep features of the field combination, finally determine the most possible emission source type, and output the list of mandatory fields corresponding to the type for subsequent integrity check. The whole process combines rule judgment and intelligent prediction to ensure the accuracy and reliability of the classification result. The integrity module iteratively discriminates the data filled by the user according to the specific attribute value field of the emission source type, checks whether there is a null value. If a null value is found, the system triggers the "data check" operation, generates the corresponding prompt or error information, and guides the user to supplement or correct the missing data. The system feedback test result, informs the user of the completeness of the data filling, ensures that the data meets the specification and can be used for subsequent carbon inventory process.

[0031] The carbon emission life cycle management system described in the present disclosure further comprises an embedding unit, The embedding unit is used to embed the emission factor library, and the data processing unit is connected with the emission factor library to call the emission factor, carbon oxidation rate, low heat value and oxidation coefficient in combination with the consumption amount of the emission source to determine the accounting data.

[0032] Specifically, the system of the present disclosure embeds the factor library that meets the national policy standards and is officially recognized, and the system automatically calculates the carbon emission according to the above filled information. The system automatically retrieves the corresponding emission factor, carbon oxidation rate, low heat value and other related data of the emission source for filling and calculation. In the embodiment of the present disclosure, the specific process of calculating the carbon emission by the present disclosure is exemplarily illustrated by three range emission calculations: Range one emission calculation: taking natural gas as an example, the system automatically calculates the corresponding carbon dioxide emission according to the filled natural gas consumption amount, and the calculation formula is as follows: Total emission = (consumption amount x low heat value) x (unit heat value carbon content x carbon oxidation rate x 44 / 12) + ((consumption amount x low heat value) x methane coefficient x ) + ((consumption amount x low heat value) x nitrous oxide coefficient x ) In the embodiment of the present disclosure, 44 / 12 represents the coefficient of carbon (atomic weight 12) converted into CO2 (molecular weight 44).

[0033] and The trace emissions are converted into carbon dioxide equivalents based on the GWP (Global Warming Potential) values of methane and nitrous oxide, respectively, and the unit is unified as tons.

[0034] Scope 2 emission calculation: taking methane as an example, the system automatically calculates the corresponding carbon dioxide emissions according to the filled methane consumption, and the calculation formula is as follows:

[0035] The total emissions of scope 3 are the sum of the emissions of each subcategory, and the general formula is:

[0036] Among them: activity data: such as raw material weight (tons), transportation distance (km), employee commuting mileage (km) and the like.

[0037] Emission factor: carbon emissions per unit activity (such as Raw materials, Etc.), need to come from authoritative database (such as IPCC, factor library released by the National Development and Reform Commission) Specifically, through the data integration engine, various types of result information generated in the process of the survey task are stored in the database, including but not limited to emission source type, attribute value field filling situation, data checking result, etc. The system uses advanced data visualization components to visually display the statistics and distribution of filling information in the form of charts and graphs. This includes using line charts, scatter plots, etc. to show the correlation between time series data or attribute values. Combined with interactive interface design, users can flexibly operate through the system interface to gain a deeper understanding of the detailed results generated by the survey task. The system realizes a dynamic updating mechanism to ensure the real-time nature of the result display, and can respond to user operations at any time, update the result display according to the latest filling information, and ensure the timeliness of the analysis process.

[0038] The report generation unit described in the present disclosure comprises a third matching module and an embedding module, The third matching module is used to query and assemble task information, accounting model information and accounting table information according to the survey task, and to match and fill in the survey information field according to the assembled information to ensure the accuracy of the report content and the task data; The embedding module is used to embed the task data into the carbon emission survey template to generate the survey report.

[0039] Specifically, the system perceives the user's behavior of triggering the generation of the report through a front-end and back-end interaction mechanism. The user fills in the report name, and the system uses a data identification algorithm to ensure the uniqueness of the report name, so as to facilitate subsequent report management and retrieval. The third matching module automatically queries the task information, accounting model information and accounting table information according to the user's selected investigation task, and automatically assembles them. The investigation information field is matched and filled in the template to ensure the accurate matching of the report content and the task data. The process of generating the report covers various content forms such as text, chart and data table. Using the automatic generation algorithm, the embedded module embeds the task data into the template according to the structure of the carbon investigation template, forming a complete investigation report. After the generated investigation report is formatted, it is stored in the report library designated by the system. At the same time, the user can flexibly customize the configuration of the exported report template according to actual needs.

[0040] In the embodiments of the present disclosure, after the user triggers the generation of the report, the system automatically matches the investigation task data and the template, accurately fills the enterprise information, accounting data and calculation results into the report template through field mapping, dynamically generates text, tables and charts, and finally outputs a format-standardized investigation report to the system while supporting user-defined template adjustment. The entire process realizes the full-automatic generation from data to report, ensuring accuracy and flexibility.

[0041] The supply chain carbon management platform of the present disclosure adopts a hierarchical architecture design, including a front-end user interface, back-end business logic processing, data storage and management, and an integrated interface with external systems. The core process of the system revolves around supply chain carbon investigation and carbon footprint management, and through modular design, efficient integration and expansion of functions are achieved, Figure 1 Fig. 1 shows a specific process diagram of supply chain carbon management in the embodiments of the present disclosure, Figure 1 In detail, from the aspects of material management and product management, the material management aspect: collecting material data through two online and sharing methods, collecting data online through account allocation and login, sharing data through the creation of a link and sharing, complete data collection, after collecting material management data, data auditing is also involved, the audited data is transmitted to the supplier factor library, and the data that passes the audit forms a material carbon footprint; the product management aspect: collecting product-related carbon footprint, product management during the process also includes organization management, user management and permission management; after determining the material carbon footprint and product carbon footprint, the material carbon footprint and product carbon footprint are modeled through the model library, the carbon footprint factors are associated through modeling, and the accounting is completed.

[0042] In the embodiment of the present disclosure, the model library includes a life cycle assessment model library and a carbon emission factor model library. The life cycle assessment model library selects the Ecoinvent database, and the carbon emission factor model library selects the IPCC emission factor database. The system completes life cycle modeling through the following steps: Stage division: Disassemble the life cycle stages according to product characteristics (such as raw material procurement, manufacturing, transportation, use, and waste disposal); Data mapping: Binding collected material data (such as weight and energy consumption) to each stage; Model matching: Call the calculation model of the corresponding industry from the LCA (Life Cycle Assessment) model library (such as electronic products standard); Boundary setting: Clarify the system boundaries (whether indirect emissions are included) and allocation rules (such as allocation of multiple products produced on the same line) to complete life cycle modeling.

[0043] The present disclosure relates carbon footprint factors through modeling including: Factor matching: According to the material / energy type (such as steel, electricity), the corresponding carbon emission factor (such as ); Data verification: Check whether the applicable conditions of the factors (such as region and time range) are consistent with the current data; Dynamic calculation: multiply the activity data (such as power consumption 1000kWh) by the matching factor (such as ), and obtain carbon emissions; Uncertainty handling: If a factor is missing, use an alternative factor or trigger a manual review process.

[0044] In the embodiment of the present disclosure, the collection types include life cycle modeling, manual entry, association model, carbon footprint results, etc.

[0045] In the embodiments of the present disclosure, material information includes material name and supplier. It should be noted that the description of material information in the present disclosure is only for illustration and not exhaustive. The management of relevant material information in this field is within the scope of protection of the present disclosure.

[0046] Through the above technical solutions, this disclosure realizes the automation, intelligence and efficiency of supply chain carbon management, solves the shortcomings of existing technologies, and provides enterprises with a comprehensive carbon management solution to help enterprises achieve low-carbon development.

[0047] This disclosure also provides a carbon emission full life cycle management method, Figure 3 The figure shows a flow chart of the carbon emission full life cycle management method in the embodiment of the present disclosure. Figure 3 , the method comprising: collecting carbon inventory task data of a multi-level supply chain, the multi-level supply chain including material management and product management; modeling associated multi-level supply chain carbon footprint factors according to the carbon inventory task data, forming carbon emission life cycle accounting data; visualizing the carbon inventory task data and the accounting data; generating an inventory report according to the visualized carbon inventory task data and the accounting data.

[0048] Specifically, collecting carbon inventory task data of a multi-level supply chain includes: Matching the collected data fields with the stored past data fields, if they are completely matched, the task creation fails; if they are not matched, the data collection continues; Matching the collected data with the embedded carbon inventory template.

[0049] Specifically, collecting carbon inventory task data of a multi-level supply chain also includes: Conducting compliance verification and formatting processing on the collected carbon inventory task data; Traversing the collected carbon inventory task data to check if there is a null value, if there is a null value, triggering a data checking operation until the carbon inventory task data is completely collected.

[0050] Specifically, generating an inventory report according to the visualized carbon inventory task data and the accounting data includes: According to the inventory task, query and assemble task information, accounting model information and accounting table information, and according to the assembled information, match and fill in the inventory information field to ensure the accuracy of the report content and the task data; Embedding the task data into the carbon inventory template to generate the inventory report.

[0051] The present disclosure also provides an electronic device, which includes at least one processor and at least one memory, the memory being in data connection with the processor, wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the carbon emission life cycle management method of the present disclosure.

[0052] The present disclosure also provides a computer storage medium, characterized in that the computer storage medium stores one or more instructions, which when executed by one or more computers cause the one or more computers to implement the carbon emission life cycle management method of the present disclosure.

[0053] In the present disclosure, data integration is carried out by means of API (Application Programming Interface) interface transmission, which is described in detail as follows: a data channel is established between the existing platform of an enterprise and a supply chain carbon management system through a standardized interface (such as ). The system predefines data interaction format and protocol, and the existing platform of the enterprise transmits production, operation and other business data to the carbon management system according to the specification through the interface, while the carbon management system can also transmit carbon emission accounting and analysis results and other data back. With the aid of cloud storage technology, the transmitted data is stored in a cloud database in real time, and each department accesses the cloud data based on permissions to perform carbon emission related business operations, such as production departments checking carbon emission data to optimize production processes, and financial departments calculating carbon costs based on data, breaking down departmental data barriers, realizing cross-departmental collaboration, effectively eliminating data silos, ensuring data real-time and business collaboration, and promoting efficient operation of enterprise carbon emission life cycle management.

[0054] The carbon emission life cycle management system and method of the present disclosure realizes automatic and intelligent management of the whole process from data collection and accounting to report generation, supports seamless integration with the existing management platform of the enterprise, breaks down data silos, and realizes real-time data updating and cross-departmental collaboration through cloud storage; avoids repeated task generation through automatic matching algorithm, and supports dynamic updating of task status, ensuring the efficiency and accuracy of task management; supports two data collection methods of manual input and real-time collection by Internet of Things devices, and automatically calculates carbon emissions through embedded factor library, covering scope one, two and three emission accounting, and supporting carbon footprint accounting of multiple life cycle boundaries; supports complex process flow of multiple levels of suppliers, ensuring the comprehensiveness and accuracy of carbon emission data, and meeting the fine management needs of complex supply chains; automatically generates reports meeting requirements according to inspection tasks or accounting results, supports user-defined report templates, directly supports enterprises to complete supply chain carbon management compliance requirements, automatically generates declaration forms meeting policy requirements, and reduces the operating cost and error risk of enterprises.

[0055] Although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalents; and such modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A carbon emission full life cycle management system, characterized in that: The system comprises: A data collection unit, configured to collect carbon inventory task data for a multi-level supply chain, including material management and product management; A data processing unit is used to model and associate multi-level supply chain carbon footprint factors based on the carbon inventory task data to form carbon emission full life cycle accounting data; A visualization unit, used to visualize the carbon inventory task data and the accounting data; A report generating unit is used to generate an inventory report based on the visualized carbon inventory task data and the accounting data.

2. The carbon emission life cycle management system according to claim 1 is characterized in that: The carbon inventory task data includes supplier name, inventory unit, inventory cycle and emission source information, wherein the emission source information includes emission source name, emission source consumption, emission source type and attribute value fields corresponding to the emission source type.

3. The carbon emission full life cycle management system according to claim 2 is characterized in that: The collected emission source consumption includes: Direct collection of consumption at emission sources, or, Integrate the emission source with the IoT device under the inventory zone, and collect the consumption of the emission source through the IoT device.

4. The carbon emission full life cycle management system according to claim 1 or 2, characterized in that: The data acquisition unit includes: a first matching module and a second matching module, The first matching module is used to match the collected data fields with the stored past data fields. If they are completely matched, the task creation fails; if they are not matched, data collection continues; The second matching unit is used to match the collected data with the embedded carbon inventory template.

5. The carbon emission full life cycle management system according to claim 1 or 2, characterized in that: The data acquisition unit also includes a verification module and an integrity module. The verification module is used to verify the compliance and format the collected carbon inventory task data; The integrity module is used to traverse the collected carbon inventory task data and check whether there are null values. If there are null values, the data check operation is triggered until the carbon inventory task data is completely collected.

6. The carbon emission full life cycle management system according to claim 3 is characterized in that: The system further comprises an embedding unit, The embedding unit is used to embed the emission factor library, and the data processing unit is connected with the emission factor library to call the emission factor, carbon oxidation rate, low calorific value and oxidation coefficient and combine them with the consumption of the emission source to determine the accounting data.

7. The carbon emission life cycle management system according to claim 1 is characterized in that: The report generating unit includes: a third matching module and an embedding module, The third matching module is used to query and assemble task information, accounting model information and accounting table information according to the inventory task, and fill the inventory information field according to the assembled information to ensure the accuracy of the report content and task data; The embedding module is used to embed task data into the carbon emission audit template to generate an audit report.

8. A carbon emission full life cycle management method, characterized in that: The method comprises: Collect carbon inventory task data for multi-level supply chains, including material management and product management; Model and associate multi-level supply chain carbon footprint factors based on the carbon inventory task data to form carbon emission full life cycle accounting data; Visualize carbon inventory task data and the accounting data; An inventory report is generated based on the visualized carbon inventory task data and the accounting data.

9. The carbon emission full life cycle management method according to claim 8, characterized in that: The carbon inventory task data collected from multi-level supply chains includes: Match the collected data fields with the stored past data fields. If they completely match, the task creation fails; if not, continue data collection. Match the collected data with the embedded carbon inventory template.

10. The carbon emission full life cycle management method according to claim 9, characterized in that: The carbon inventory task data collected from multi-level supply chains also includes: Conduct compliance verification and formatting of collected carbon inventory task data; Traverse the collected carbon inventory task data and check whether there are null values. If there are null values, trigger the data check operation until the carbon inventory task data is completely collected.

11. The carbon emission full life cycle management method according to claim 8, characterized in that: Generate an inventory report based on visualized carbon inventory task data and accounting data, including: Query and assemble task information, accounting model information, and accounting table information based on the inventory task, and fill in the inventory information fields based on the assembled information to ensure the accuracy of the report content and task data; Embed task data into the carbon emission audit template to generate an audit report.

12. An electronic device, characterized in that: The electronic device includes at least one processor and at least one memory, wherein the memory is data-connected to the processor, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 8 to 11.

13. A computer storage medium, characterized in that The computer storage medium stores one or more instructions, which, when executed by one or more computers, enable the one or more computers to implement the method according to any one of claims 8 to 11.

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