Dynamic carbon footprint factor library updating and maintaining system and method

Abstract

The invention discloses a dynamic carbon footprint factor library updating and maintenance system and method, and relates to the technical field of carbon footprint factor library updating and maintenance, and the system comprises a top end service port module, an operation management end module and a user operation end module. The top end service port module is used for managing a carbon footprint evaluation standard PCR template; the operation management end module is used for checking and auditing the carbon footprint and storing an evidence on a carbon footprint upper chain; and the user operation terminal module is used for managing the carbon main body and inputting the carbon footprint at the same time. The dynamic carbon footprint factor library updating and maintenance system provided by the invention realizes automatic acquisition, cleaning, classification and tagging processing of carbon footprint data through module cooperation, performs data chaining and evidence storage by adopting a block chain technology, and ensures non-tampering and privacy protection of the data through a multi-node consensus and zero-knowledge proof technology.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon footprint factor library updating and maintenance, and in particular to a dynamic carbon footprint factor library updating and maintenance system and method. Background Art

[0002] The dynamic carbon footprint factor library update and maintenance system is a system specifically used to manage and maintain the carbon footprint factor library. The system can dynamically track, update and maintain carbon footprint-related factor data, and is usually used to calculate the greenhouse gas emissions generated by products or services throughout their life cycle, namely the carbon footprint.

[0003] The existing dynamic carbon footprint factor library update and maintenance system generally lacks clear user role division and authority control mechanism, making it difficult to support complex data processing and real-time analysis needs, and leading to hidden dangers in data security and privacy protection.

[0004] The existing dynamic carbon footprint factor library update and maintenance systems generally lack clear user role divisions and authority control mechanisms, which easily lead to hidden dangers in data security and privacy protection. This dynamic carbon footprint factor library update and maintenance system provides a complete data security mechanism and backup and recovery strategy by setting up an operation and management end module, ensuring the security and reliability of the data. It can also realize the on-chain storage of data, further improving the credibility and immutability of the data. Summary of the invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the existing dynamic carbon footprint factor library update and maintenance system generally lacks a clear user role division and authority control mechanism, making it difficult to support complex data processing and real-time analysis requirements, and leading to hidden dangers in data security and privacy protection.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a dynamic carbon footprint factor library update and maintenance system, comprising:

[0008] Top service port module, operation management module and user operation module;

[0009] The top service port module is used to manage the carbon footprint evaluation standard PCR template;

[0010] The operation management module is used to calculate and review the carbon footprint, and store the carbon footprint on the chain;

[0011] The user operation end module is used to manage the carbon subject and record the carbon footprint.

[0012] As a preferred solution of the dynamic carbon footprint factor library updating and maintenance system of the present invention, wherein:

[0013] The top service port module automatically classifies and standardizes carbon emission data at different life cycle stages by using a calculation engine based on a life cycle assessment method.

[0014] As a preferred solution of the dynamic carbon footprint factor library update and maintenance system described in the present invention, the operation management end module includes a data review layer and an on-chain evidence storage layer;

[0015] The data review layer verifies the format and integrity of the carbon footprint data, and sends the data to the on-chain evidence storage layer if it meets the standards;

[0016] The on-chain evidence storage layer uses blockchain technology to encrypt and store data to prevent data tampering.

[0017] As a preferred solution of the dynamic carbon footprint factor library updating and maintenance system of the present invention, wherein:

[0018] The user operation end module is connected to the partner's carbon footprint management system through an API interface to achieve automatic synchronization and review of carbon footprint data.

[0019] Another object of the present invention is to provide a dynamic carbon footprint factor library update and maintenance method, which solves the problems of inefficient data processing, lack of authenticity and untimely factor library updates in traditional carbon footprint management. By automating data collection, cleaning and classification, data processing efficiency is improved and human errors are reduced. Blockchain technology and zero-knowledge proof are used to ensure the immutability and high credibility of data to prevent carbon footprint data from being tampered with. In addition, smart contracts are used to automatically update the factor library to achieve real-time adjustment of the carbon emission factor library and ensure the timeliness of the data. This method covers the management of carbon emission data throughout the life cycle, from production to waste disposal, and provides a comprehensive carbon footprint assessment. At the same time, the API interface enhances the flexibility of the system to meet the needs of multiple industries.

[0020] To solve the above technical problems, the present invention provides the following technical solutions: A dynamic carbon footprint factor library update and maintenance system, comprising: collecting carbon footprint data from multiple data sources through a top service port module;

[0021] Transfer the collected carbon footprint data to the operation management module for review;

[0022] After the review is passed, the carbon footprint data will be stored through blockchain technology using the on-chain evidence layer in the operation management module;

[0023] Based on the stored carbon footprint data, the operation management module regularly updates the carbon footprint factor library;

[0024] Data is synchronized and audited with partners’ carbon footprint management systems through the user operation module.

[0025] As a preferred solution of the method for updating and maintaining the dynamic carbon footprint factor library of the present invention, wherein: the collection of carbon footprint data includes connecting the power grid material database and the high carbon emission product supply chain system through an API interface, and using an encryption protocol to obtain the original carbon emission data;

[0026] Use life cycle assessment methods to clean the collected data, remove redundant data and unify the data format;

[0027] The cleaned data is classified according to different life cycle stages, and each category of data is labeled with a label corresponding to the life cycle stage.

[0028] As a preferred solution of the method for updating and maintaining the dynamic carbon footprint factor library of the present invention, wherein: the transmission to the operation management end module for review includes transmitting the data carrying the tag to the data review layer of the operation management end module through an encrypted channel;

[0029] In the operation management module, customized review processes are performed on different categories of data based on label information;

[0030] The data that has passed the review will be labeled as reviewed.

[0031] The customized audit process includes automatically matching the carbon emission coefficient of raw materials by calling the carbon emission coefficient library if the data is in the production stage, and verifying whether the energy consumption data of production equipment meets the preset standards; if an abnormality is found, the alarm module is automatically triggered to notify the data provider for review;

[0032] If the data is in the transportation stage, it will be based on sensor data and logistics tracking system to automatically verify the transportation method and route, and verify the GPS data recorded during transportation to ensure the consistency of transportation distance and carbon emission data;

[0033] If the data is collected by monitoring equipment during the use phase, the carbon emission factor during the use of the product is automatically calculated and compared with historical data to identify abnormal values;

[0034] If the data is in the waste treatment stage, the IoT sensor data will be used to automatically evaluate the carbon emissions in the waste treatment process and verify the deviation of the recycling rate from the expected standard to ensure that the waste treatment process meets environmental protection requirements.

[0035] As a preferred solution of the method for updating and maintaining the dynamic carbon footprint factor library of the present invention, the carbon footprint data is stored by blockchain technology, including receiving the approved data together with its life cycle mark by the on-chain storage layer, and encrypting and sharding the data through a multi-node consensus mechanism;

[0036] Before data is uploaded to the chain, zero-knowledge proof is used to verify the authenticity of the data;

[0037] After the chain is completed, the smart contract is triggered to update the entries in the carbon footprint factor library, adjust the carbon emission factor based on the stored data, and generate a timestamp and data hash value for future traceability and verification.

[0038] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned dynamic carbon footprint factor library updating and maintenance method when executing the computer program.

[0039] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned dynamic carbon footprint factor library updating and maintenance method.

[0040] Beneficial effects of the present invention: The dynamic carbon footprint factor library update and maintenance system provided by the present invention realizes the automatic collection, cleaning, classification and labeling of carbon footprint data through module collaboration, adopts the life cycle assessment method (LCA) to ensure the consistency of data and the scientific nature of evaluation, and reduces manual operation errors.

[0041] Blockchain technology is used to store data on the chain, and multi-node consensus and zero-knowledge proof technology are used to ensure data immutability and privacy protection. Smart contracts drive the factor library to automatically update, improving data transparency and traceability.

[0042] Covering carbon emission data throughout the entire life cycle of the product, the modular design ensures targeted review and updating of data at different stages, helping companies achieve precise carbon emission control and reduction targets.

[0043] It supports API connection with external systems to achieve automatic synchronization and collaboration of data, adapt to the needs of multiple industries, and enhance the application scope of the system through cross-platform computer programs. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0045] Figure 1 An overall structural diagram of a dynamic carbon footprint factor library updating and maintenance system provided by one embodiment of the present invention.

[0046] Figure 2 An overall flow chart of a dynamic carbon footprint factor library updating and maintenance method provided for the second embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0048] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0049] Example 1

[0050] Reference Figure 1 , as an embodiment of the present invention, provides a dynamic carbon footprint factor library update and maintenance system, comprising:

[0051] Top service port module 100, operation management end module 200 and user operation end module 300;

[0052] The top service port module 100 is used to manage the carbon footprint evaluation standard PCR template;

[0053] The operation management module 200 is used to calculate and review the carbon footprint, and store the carbon footprint on the chain;

[0054] The user operation end module 300 is used to manage the carbon subject and record the carbon footprint.

[0055] The top service port module 100 automatically classifies and standardizes carbon emission data at different life cycle stages by using a calculation engine based on a life cycle assessment method.

[0056] The operation management end module 200 includes a data review layer and an on-chain evidence storage layer;

[0057] The data review layer verifies the format and integrity of the carbon footprint data, and sends the data to the on-chain evidence storage layer if it meets the standards;

[0058] The on-chain evidence storage layer uses blockchain technology to encrypt and store data to prevent data tampering.

[0059] The user operation end module 300 is connected to the carbon footprint management system of the partner through the API interface to achieve automatic synchronization and review of carbon footprint data.

[0060] Example 2

[0061] Reference Figure 2 , as an embodiment of the present invention, provides a method for updating and maintaining a dynamic carbon footprint factor library, comprising:

[0062] Collect carbon footprint data from multiple data sources through the top service portal module;

[0063] Transfer the collected carbon footprint data to the operation management module for review;

[0064] After the review is passed, the carbon footprint data will be stored through blockchain technology using the on-chain evidence layer in the operation management module;

[0065] Based on the stored carbon footprint data, the operation management module regularly updates the carbon footprint factor library;

[0066] Data is synchronized and audited with partners’ carbon footprint management systems through the user operation module.

[0067] The collection of carbon footprint data includes connecting to the power grid material database and the high-carbon emission product supply chain system through an API interface, and using an encryption protocol to obtain the original carbon emission data;

[0068] Use life cycle assessment methods to clean the collected data, remove redundant data and unify the data format;

[0069] The cleaned data is classified according to different life cycle stages, and each category of data is labeled with a label corresponding to the life cycle stage.

[0070] The transmitting to the operation management end module for review includes transmitting the data carrying the tag to the data review layer of the operation management end module through an encrypted channel;

[0071] In the operation management module, customized review processes are performed on different categories of data based on label information;

[0072] The data that has passed the review will be labeled as reviewed.

[0073] The customized audit process includes automatically matching the carbon emission coefficient of raw materials by calling the carbon emission coefficient library if the data is in the production stage, and verifying whether the energy consumption data of production equipment meets the preset standards; if an abnormality is found, the alarm module is automatically triggered to notify the data provider for review;

[0074] If the data is in the transportation stage, it will be based on sensor data and logistics tracking system to automatically verify the transportation method and route, and verify the GPS data recorded during transportation to ensure the consistency of transportation distance and carbon emission data;

[0075] If the data is collected by monitoring equipment during the use phase, the carbon emission factor during the use of the product is automatically calculated and compared with historical data to identify abnormal values;

[0076] If the data is in the waste treatment stage, the IoT sensor data will be used to automatically evaluate the carbon emissions in the waste treatment process and verify the deviation of the recycling rate from the expected standard to ensure that the waste treatment process meets environmental protection requirements.

[0077] The carbon footprint data is stored by blockchain technology, including the approved data and its life cycle mark being received by the on-chain storage layer, and the data is encrypted and stored in fragments through a multi-node consensus mechanism;

[0078] Before data is uploaded to the chain, zero-knowledge proof is used to verify the authenticity of the data;

[0079] After the chain is completed, the smart contract is triggered to update the entries in the carbon footprint factor library, adjust the carbon emission factor based on the stored data, and generate a timestamp and data hash value for future traceability and verification.

[0080] It should be noted that the approved data is transmitted from the operation management module to the on-chain evidence layer, and the system first shards the data. Each data record is divided into multiple data blocks according to the preset size (such as 1MB) to improve the flexibility and fault tolerance of data storage.

[0081] Each data block is symmetrically encrypted (AES-256), and a unique hash value (SHA-256) is attached to the encrypted data block as a data fingerprint.

[0082] The encryption key is generated by the key management module and protected by RSA public key encryption technology. Only authorized nodes can decrypt data blocks.

[0083] The system sends data blocks to multiple blockchain nodes through a distributed network. During the consensus phase, each node verifies the data block after receiving it, using the Byzantine Fault Tolerance (PBFT) algorithm to ensure the authenticity and integrity of the data.

[0084] If more than 2 / 3 of the nodes reach a consensus on the data block, the system will generate a consensus signature and write the encrypted data block and the signature result into the blockchain.

[0085] Data blocks that have been verified by consensus are marked as "saved" and timestamped to ensure future traceability.

[0086] Before the data is uploaded to the chain, the zero-knowledge proof module is called to generate zk-SNARKs (Succinct Non-Interactive Zero-Knowledge Proof) to verify the authenticity of the data.

[0087] The proof generation process includes: encrypting the hash value of the data block and generating a zero-knowledge proof file (ProofFile) to ensure the privacy and security of data stored on the chain.

[0088] After receiving the data block and zero-knowledge proof file, the blockchain node verifies it through the zk-SNARKs verifier.

[0089] After the verification is passed, the node will generate a verification signature and store the proof file and the data block together on the chain.

[0090] Once the data is successfully uploaded to the blockchain, the blockchain system automatically triggers the smart contract, which pre-configures the update logic of the carbon footprint factor library.

[0091] The contract first retrieves the latest on-chain data and extracts the carbon emission factor and related life cycle information from the data block.

[0092] The smart contract automatically adjusts the carbon emission factor based on the extracted data, ensuring that the data entries in the factor library remain up to date.

[0093] The system generates timestamps and hash values ​​for new data entries and pushes updated factor library data to the factor library management module.

[0094] Each time the factor library is updated, the system generates a new timestamp and data hash value and stores it in the blockchain for future auditing and tracing.

[0095] Example 3

[0096] An embodiment of the present invention is different from the first two embodiments in that:

[0097] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0098] 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 instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes 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 conjunction with such instruction execution systems, devices or apparatuses.

[0099] 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 case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a 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, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0100] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of 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.

[0101] Example 4

[0102] As an embodiment of the present invention, a dynamic carbon footprint factor library updating and maintenance method is provided. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0103] The top service port module 100 is used to manage the carbon footprint evaluation standard PCR template;

[0104] The operation management module 200 is used to calculate and review the carbon footprint, and store the carbon footprint on the chain;

[0105] The user operation end module 300 is used to manage the carbon subject and record the carbon footprint.

[0106] The top service port module 100 is responsible for defining and managing the product classification system to ensure that the carbon footprint accounting of various products has a unified basis. At the same time, based on the cradle-to-grave principle, a management framework for each life cycle stage is established to provide a timeline basis for carbon footprint accounting. The top service port module 100 ensures the accuracy and consistency of the accounting results by providing a basic framework and standardized tools for carbon footprint accounting.

[0107] The operation management end module 200 is used to enter and calculate specific carbon footprint data according to the standards and templates set by the top service port module 100. The operation management end module 200 is responsible for conducting a preliminary review of the entered carbon footprint data to ensure its accuracy, and at the same time reviews the generated carbon footprint report to ensure that it complies with relevant standards and specifications. The operation management end module 200 stores the audited carbon footprint data and reports on the chain, and uses the tamper-proof nature of the blockchain to ensure the authenticity and traceability of the data.

[0108] Through the operation management end module 200, various tasks related to carbon footprint can be processed centrally, thereby reducing the coordination costs between different departments or roles. At the same time, the operation management end module 200 has a strict data access control and authority management mechanism to ensure that only authorized personnel can access sensitive data, thereby ensuring the immutability and traceability of carbon footprint data.

[0109] The user operation end module 300 is used to manage the carbon footprint related information of partners and promote carbon emission reduction cooperation in the supply chain. The user operation end module 300 can audit the carbon footprint data generated within the enterprise to ensure the accuracy of the data. At the same time, the user operation end module 300 provides enterprise users with an independent platform for carbon footprint management, supports the accounting, auditing, chain-up and partner management of internal data, and can improve the carbon management capabilities of the enterprise.

[0110] Step 101: First, collect carbon footprint data to provide data support for subsequent audits;

[0111] Step 102: Review the collected carbon footprint data to ensure that the carbon footprint data has no format errors;

[0112] Step 103: Store the carbon footprint on the chain to ensure the immutability and traceability of the carbon footprint data;

[0113] Step 104: ensuring that the carbon footprint factor library is updated in real time;

[0114] Step 105: Regularly maintain the carbon footprint factor library.

[0115] Preferably, when collecting carbon footprint data, the following steps are included:

[0116] Step 201: First, collect the original carbon footprint data of power grid materials and high carbon emission products;

[0117] Step 202: Research institution personnel provide technical support and verification methods for the data collection process;

[0118] Step 203: Provide carbon footprint data related to its products to ensure the authenticity and integrity of the data.

[0119] Preferably, the audit of carbon footprint data includes the following steps:

[0120] Step 301: The power grid information center conducts a preliminary review of the collected carbon footprint data to ensure that the data format is correct and there are no omissions;

[0121] Step 302: Use professional knowledge to further verify the audited data to ensure the scientificity and accuracy of the data;

[0122] Step 303: During the carbon footprint report review, the report is authenticated according to the review authority to increase the credibility of the data.

[0123] Preferably, when storing the carbon footprint on the chain, the following steps are included:

[0124] Step 401: The power grid information center and scientific research institution personnel jointly store the approved carbon footprint data on the blockchain, using blockchain technology to ensure the data is tamper-proof and traceable;

[0125] Step 402: Personnel from a third-party certification agency participate in witnessing or providing certification services during the process of uploading data to the blockchain.

[0126] Preferably, when updating the carbon footprint factor library, the following steps are included:

[0127] Step 501: regularly update the carbon footprint factor library according to the carbon footprint data uploaded to the chain;

[0128] Step 502: Provide technical support and scientific basis for updating the factor library through personnel from scientific research institutions, so as to ensure that the updated factor library is more accurate and comprehensive;

[0129] Step 503: During the updating process of the factor library, certification services may be provided by personnel of a third-party certification agency to ensure the compliance and credibility of the updating process.

[0130] When updating the carbon footprint factor library, the specific implementation steps are as follows:

[0131] Collect raw carbon footprint data from grid materials and high-carbon emission products;

[0132] Ensure that data covers the entire life cycle of the product, including the entire process from raw material collection, production and processing, transportation, consumption and use to final waste disposal;

[0133] Research institutes provide technical support and verification methods to ensure the scientific nature and accuracy of the data collection process;

[0134] The Power Grid Information Center conducts a preliminary review of the collected carbon footprint data to check the data format, completeness and omissions;

[0135] According to the characteristics and update requirements of carbon footprint data, select appropriate algorithms for calculation and analysis, including life cycle assessment (LCA), input-output method (IO), etc.;

[0136] Apply the selected algorithm to calculate and analyze the carbon footprint data, and identify the key factors and changing trends that affect the carbon footprint;

[0137] The carbon footprint factor library is updated regularly based on the carbon footprint data on the chain and the results of algorithm analysis.

[0138] Preferably, when maintaining the carbon footprint factor library, the following steps are included:

[0139] Step 601: The power grid information center is responsible for the daily maintenance of the factor database, including data backup, system security and authority management;

[0140] Step 602: Research institution personnel continue to track the latest research results and technological developments in the footprint field and provide advice and support for the optimization of the factor library.

[0141] Among them, when maintaining the carbon footprint factor library, the specific implementation steps are as follows:

[0142] The power grid information center should regularly back up the carbon footprint factor database to prevent data loss or damage;

[0143] The backup data should be stored in a safe and reliable storage medium, and recovery tests should be performed regularly to ensure the availability of the backup data;

[0144] Strengthen the security protection of the carbon footprint factor database system, including installing firewalls, anti-virus software and other security measures;

[0145] Regularly scan the system for security vulnerabilities and conduct risk assessments to promptly identify and repair potential security risks;

[0146] The power grid information center should establish a sound authority management mechanism to authenticate and control the authority of personnel accessing the carbon footprint factor library;

[0147] Assign different access rights according to the responsibilities and needs of different personnel to ensure the confidentiality and integrity of data.

[0148] Assume that a certain enterprise collects carbon footprint data in a traditional way, which takes about 10 working days per month and has an error rate of about 5%. By using the system of the present invention, the data collection period is shortened to 3 working days and the error rate is reduced to below 1%. The data collection efficiency is increased by about 233% (10 days / 3 days-1), and the error rate is reduced by 80% (5%-1%). The experimental results are shown in Table 1.

[0149] Table 1 Comparison of experimental results

[0150]

[0151] The present invention greatly improves data collection efficiency by combining the original carbon footprint data of power grid materials and high-carbon emission products through an automated data collection system.

[0152] Compared with the traditional dynamic carbon footprint factor library update and maintenance system, which generally lacks clear user role division and authority control mechanism, it is difficult to support complex data processing and real-time analysis requirements, and leads to hidden dangers in data security and privacy protection. The dynamic carbon footprint factor library update and maintenance system provides a complete data security mechanism and backup and recovery strategy by setting the operation management end module 200, ensuring the security and reliability of the data, and can also realize the data on-chain storage, further improving the credibility and non-tamperability of the data;

[0153] Through the operation management end module 200, various tasks related to carbon footprint can be processed centrally, thereby reducing the coordination costs between different departments or roles. At the same time, the operation management end module 200 has a strict data access control and authority management mechanism to ensure that only authorized personnel can access sensitive data, thereby ensuring the immutability and traceability of carbon footprint data.

[0154] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A dynamic carbon footprint factor library update and maintenance system, characterized in that: include: A top service port module (100), an operation management end module (200) and a user operation end module (300); The top service port module (100) is used to manage the carbon footprint evaluation standard PCR template; The operation management end module (200) is used to calculate and audit the carbon footprint, and store the carbon footprint on the chain; The user operation terminal module (300) is used to manage the carbon subject and record the carbon footprint.

2. The dynamic carbon footprint factor library updating and maintenance system according to claim 1, characterized in that: The top service port module (100) automatically classifies and standardizes carbon emission data at different life cycle stages by using a calculation engine based on a life cycle assessment method.

3. The dynamic carbon footprint factor library updating and maintenance system according to claim 2, characterized in that: The operation management end module (200) includes a data review layer and an on-chain evidence storage layer; The data review layer verifies the format and integrity of the carbon footprint data, and sends the data to the on-chain evidence storage layer if it meets the standards; The on-chain evidence storage layer uses blockchain technology to encrypt and store data to prevent data tampering.

4. The dynamic carbon footprint factor library updating and maintenance system according to claim 3, characterized in that: The user operation end module (300) is connected to the carbon footprint management system of the partner through an API interface to achieve automatic synchronization and review of carbon footprint data.

5. A method for updating and maintaining a dynamic carbon footprint factor library using the system described in any one of claims 1 to 4, characterized in that: include: Collect carbon footprint data from multiple data sources through the top service portal module; Transfer the collected carbon footprint data to the operation management module for review; After the review is passed, the carbon footprint data will be stored through blockchain technology using the on-chain evidence layer in the operation management module; Based on the stored carbon footprint data, the operation management module regularly updates the carbon footprint factor library; Data is synchronized and audited with partners’ carbon footprint management systems through the user operation module.

6. The dynamic carbon footprint factor library updating and maintenance system according to claim 5, characterized in that: The collection of carbon footprint data includes connecting to the power grid material database and the high-carbon emission product supply chain system through an API interface, and using an encryption protocol to obtain the original carbon emission data; Use life cycle assessment methods to clean the collected data, remove redundant data and unify the data format; The cleaned data is classified according to different life cycle stages, and each category of data is labeled with a label corresponding to the life cycle stage.

7. The dynamic carbon footprint factor library updating and maintenance system according to claim 6, characterized in that: The transmitting to the operation management end module for review includes transmitting the data carrying the tag to the data review layer of the operation management end module through an encrypted channel; In the operation management module, customized review processes are performed on different categories of data based on label information; The data that has passed the review will be labeled as reviewed. The customized audit process includes automatically matching the carbon emission coefficient of raw materials by calling the carbon emission coefficient library if the data is in the production stage, and verifying whether the energy consumption data of production equipment meets the preset standards; if an abnormality is found, the alarm module is automatically triggered to notify the data provider for review; If the data is in the transportation stage, it will be based on sensor data and logistics tracking system to automatically verify the transportation method and route, and verify the GPS data recorded during transportation to ensure the consistency of transportation distance and carbon emission data; If the data is collected by monitoring equipment during the use phase, the carbon emission factor during the use of the product is automatically calculated and compared with historical data to identify abnormal values; If the data is in the waste treatment stage, the IoT sensor data will be used to automatically evaluate the carbon emissions in the waste treatment process and verify the deviation of the recycling rate from the expected standard to ensure that the waste treatment process meets environmental protection requirements.

8. The dynamic carbon footprint factor library updating and maintenance system according to claim 7, characterized in that: The carbon footprint data is stored by blockchain technology, including the approved data and its life cycle mark being received by the on-chain storage layer, and the data is encrypted and stored in fragments through a multi-node consensus mechanism; Before data is uploaded to the chain, zero-knowledge proof is used to verify the authenticity of the data; After the chain is completed, the smart contract is triggered to update the entries in the carbon footprint factor library, adjust the carbon emission factor based on the stored data, and generate a timestamp and data hash value for future traceability and verification.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the dynamic carbon footprint factor library updating and maintaining method according to any one of claims 4 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the dynamic carbon footprint factor library updating and maintenance method according to any one of claims 4 to 8 are implemented.

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