Carbon mark authentication method and device, computer equipment, storage medium and program product

Abstract

The application relates to a carbon identification certification method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: obtaining carbon footprint related data of a target intelligent product; performing a blockchain storage operation on the carbon footprint related data to obtain carbon footprint chain data; extracting on-chain data on the carbon footprint chain data; after data preprocessing of the on-chain data, carbon footprint accounting data meeting the accounting requirements is screened out; the carbon footprint accounting data is substituted into a carbon footprint calculation model to obtain a carbon footprint accounting result; a difference analysis report is obtained by comparing a target market carbon identification certification standard and a domestic carbon identification certification standard; the carbon footprint accounting result is adjusted according to the difference analysis report to obtain a standard adaptation result; the standard adaptation result and the carbon footprint accounting result are carbon footprint data; the carbon footprint data is verified; and a carbon identification is generated based on the verified carbon footprint data. The method can generate internationally mutually recognized carbon identification.

Description

Technical Field

[0001] This application relates to the field of environmental science and technology, and in particular to a carbon labeling certification method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Technology

[0002] With the development of the global low-carbon economy, the carbon footprint of intelligent products has become an important indicator for measuring the environmental impact of products, and carbon labeling certification has become an important green passport for products to enter the international market.

[0003] Currently, the domestic product carbon footprint labeling certification method adopts carbon footprint visualization labeling technology, which is a comprehensive technology that uses intuitive and easy-to-understand visual elements such as graphics, colors, and codes to display and convey the carbon footprint of intelligent products throughout their entire life cycle.

[0004] However, this certification method has several problems. First, the data throughout the carbon footprint accounting process lacks an effective traceability mechanism, making its reliability questionable and increasing the risk of data tampering and falsification. Second, international recognition is poor; existing certification standards are not sufficiently aligned with mainstream international standards, making cross-border mutual recognition difficult and increasing international compliance costs for companies. Third, the certification process is inefficient, relying on manual data collection, calculation, and verification, which is time-consuming, labor-intensive, and prone to human error. Fourth, it lacks dynamic adaptability, failing to respond in real time to dynamic changes such as raw material price fluctuations, production process upgrades, and updates to international standards, leading to discrepancies between carbon footprint accounting results and actual conditions.

[0005] Therefore, how to propose an intelligent product carbon labeling certification method that can improve the reliability, international recognition, and certification efficiency of carbon footprint data is an urgent problem to be solved. Summary of the Invention

[0006] Therefore, it is necessary to provide a carbon labeling certification method, device, computer equipment, computer-readable storage medium, and computer program product that can improve the reliability, international recognition, and certification efficiency of carbon footprint data in response to the above-mentioned technical problems.

[0007] Firstly, this application provides a carbon labeling certification method, including:

[0008] Obtain carbon footprint data related to the target intelligent product;

[0009] Perform blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0010] Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results;

[0011] A difference analysis report was obtained by comparing the carbon labeling certification standards of the target market with those of China. Based on the difference analysis report, the carbon footprint calculation results were adjusted to obtain the standard adaptation results. The standard adaptation results and the carbon footprint calculation results were used as the carbon footprint data.

[0012] The carbon footprint data is verified to obtain verified carbon footprint data; based on the verified carbon footprint data, a carbon label is generated.

[0013] In one embodiment, a blockchain notarization operation is performed on the carbon footprint-related data to obtain carbon footprint chain data, including:

[0014] A pre-defined algorithm is used to process the carbon footprint-related data to obtain a raw data summary;

[0015] The original data digest is encrypted to obtain an encrypted data digest.

[0016] The carbon footprint-related data are grouped and packaged according to a preset order to obtain multiple data blocks; the encrypted data digest of each block is recorded sequentially by the next block.

[0017] Carbon footprint chain data is obtained based on multiple blocks of data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0018] In one embodiment, carbon footprint accounting data is substituted into a carbon footprint calculation model to obtain carbon footprint accounting results, including:

[0019] Analyze the discrepancies between historical carbon footprint accounting data and actual verification data;

[0020] Adjust the accounting coefficients of the carbon footprint calculation model based on the deviation value;

[0021] The carbon footprint accounting data is substituted into the adjusted carbon footprint calculation model to obtain the carbon footprint accounting results.

[0022] In one embodiment, a report analyzing the differences between carbon labeling certification standards in the target market and in China is obtained by comparing the two standards, including:

[0023] Establish a terminology mapping table and indicator correspondence table between international carbon labeling certification standards and domestic carbon labeling certification standards;

[0024] Obtain carbon labeling certification standards for the target market from the international carbon labeling certification database; based on the terminology mapping table and the indicator correspondence table, compare the carbon labeling certification standards of the target market and the carbon labeling certification standards of the standard market to obtain the differences in carbon labeling certification data requirements.

[0025] A difference analysis report is generated based on the differences in carbon labeling certification data requirements.

[0026] In one embodiment, the carbon footprint calculation results are adjusted based on the difference analysis report to obtain standard adaptation results, including:

[0027] Based on the difference analysis report, the carbon footprint accounting results are supplemented with the accounting boundary data required by the carbon labeling certification standard of the target market, and the data units in the carbon footprint accounting results are modified to the data units used by the carbon labeling certification standard of the target market, so as to obtain the standard adaptation results that conform to the carbon labeling certification standard of the target market.

[0028] In one embodiment, verifying the carbon footprint data to obtain verified carbon footprint data includes:

[0029] Obtain the carbon labeling certification verification rules for the target market; use the carbon labeling certification verification rules to verify the compliance of carbon footprint data;

[0030] Receive carbon footprint accounting comparison data; carbon footprint accounting comparison data includes third-party testing data, industry benchmark data, and historical certification data; calculate the accounting deviation between the compliance-verified carbon footprint data and the carbon footprint accounting comparison data;

[0031] If the calculation deviation is less than the preset deviation threshold, the carbon footprint data that has passed the verification is obtained;

[0032] If the calculated deviation exceeds a preset deviation threshold, the process locates the point in the production of the target intelligent product where the deviation occurred. Based on this point, the cause of the deviation and correction suggestions are generated and displayed on a visual interface. The visual interface displays the cause of the deviation and correction suggestions. In response to the user's correction action based on the correction suggestions, the target carbon footprint data is obtained. The target carbon footprint data is replaced with the carbon footprint data, and the compliance verification of the carbon footprint data using carbon labeling certification verification rules and subsequent steps are repeated until the calculated deviation using the target carbon footprint data is less than the preset deviation threshold. The corresponding target carbon footprint data is then used as the verified carbon footprint data.

[0033] Secondly, this application also provides a carbon labeling certification device, comprising:

[0034] The acquisition module is used to acquire carbon footprint-related data of the target intelligent product;

[0035] The evidence storage module is used to perform blockchain evidence storage operations on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-set distributed node network.

[0036] The filtering module is used to extract on-chain data from the carbon footprint chain data; after preprocessing the on-chain data, it filters out carbon footprint accounting data that meets the accounting requirements; and substitutes the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results.

[0037] The adjustment module is used to compare the carbon labeling certification standards of the target market with the domestic carbon labeling certification standards to obtain a difference analysis report; based on the difference analysis report, the carbon footprint calculation results are adjusted to obtain the standard adaptation results; the standard adaptation results and the carbon footprint calculation results are used as carbon footprint data.

[0038] The generation module is used to verify carbon footprint data and obtain verified carbon footprint data; based on the verified carbon footprint data, carbon labels are generated.

[0039] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0040] Obtain carbon footprint data related to the target intelligent product;

[0041] Perform blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0042] Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results;

[0043] A difference analysis report was obtained by comparing the carbon labeling certification standards of the target market with those of China. Based on the difference analysis report, the carbon footprint calculation results were adjusted to obtain the standard adaptation results. The standard adaptation results and the carbon footprint calculation results were used as the carbon footprint data.

[0044] The carbon footprint data is verified to obtain verified carbon footprint data; based on the verified carbon footprint data, a carbon label is generated.

[0045] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0046] Obtain carbon footprint data related to the target intelligent product;

[0047] Perform blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0048] Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results;

[0049] A difference analysis report was obtained by comparing the carbon labeling certification standards of the target market with those of China. Based on the difference analysis report, the carbon footprint calculation results were adjusted to obtain the standard adaptation results. The standard adaptation results and the carbon footprint calculation results were used as the carbon footprint data.

[0050] The carbon footprint data is verified to obtain verified carbon footprint data; based on the verified carbon footprint data, a carbon label is generated.

[0051] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0052] Obtain carbon footprint data related to the target intelligent product;

[0053] Perform blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0054] Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results;

[0055] A difference analysis report was obtained by comparing the carbon labeling certification standards of the target market with those of China. Based on the difference analysis report, the carbon footprint calculation results were adjusted to obtain the standard adaptation results. The standard adaptation results and the carbon footprint calculation results were used as the carbon footprint data.

[0056] The carbon footprint data is verified to obtain verified carbon footprint data; based on the verified carbon footprint data, a carbon label is generated.

[0057] The aforementioned carbon labeling certification method, device, computer equipment, computer-readable storage medium, and computer program product acquire carbon footprint-related data of the target intelligent product; perform blockchain notarization on the carbon footprint-related data to obtain carbon footprint chain data, which is stored on a pre-defined distributed node network. This process, through encrypted chain storage of carbon footprint-related data, ensures the immutability of the data and guarantees data reliability. The process involves extracting on-chain data from the carbon footprint chain data; preprocessing the on-chain data to select carbon footprint accounting data that meets the accounting requirements; substituting the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting result; comparing the target market carbon labeling certification standard with the domestic carbon labeling certification standard to obtain a difference analysis report; adjusting the carbon footprint accounting result based on the difference analysis report to obtain a standard adaptation result; and using the standard adaptation result and the carbon footprint accounting result as the carbon footprint data. The aforementioned process of acquiring carbon footprint data employs a carbon footprint calculation model to automate the calculation results, reducing reliance on manual labor. By comparing the carbon labeling certification standards of the target market with domestic standards, the carbon footprint calculation results are modified, enhancing international recognition and ensuring seamless alignment between existing certification standards and mainstream international standards, achieving cross-border mutual recognition. The carbon footprint data is then verified to obtain verified data; based on this verified data, a carbon label is generated. This verification process addresses dynamic changes in real time, eliminating discrepancies between the carbon footprint calculation results and actual conditions. The resulting carbon label accurately reflects the carbon footprint of the target intelligent product throughout its entire lifecycle, providing enterprises with a green pass that meets international market requirements. Attached Figure Description

[0058] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0059] Figure 1 This is a diagram illustrating the application environment of a carbon labeling authentication method in one embodiment.

[0060] Figure 2 This is a flowchart illustrating a carbon labeling authentication method in one embodiment;

[0061] Figure 3 This is a flowchart illustrating the carbon labeling authentication method in another embodiment;

[0062] Figure 4 This is a structural block diagram of a carbon labeling authentication device in one embodiment;

[0063] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0064] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0065] It should be noted that the terms "first," "second," etc., used in this application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "comprising" and "having," and any variations thereof, used in this application, are intended to cover non-exclusive inclusion. The term "multiple" used in this application refers to two or more. The term "and / or" used in this application refers to one of the embodiments, or any combination of multiple embodiments.

[0066] The carbon labeling authentication method provided in this application can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104, or it can be located in the cloud or on another network server. Specifically, terminal 102 or server 104 completes a carbon labeling certification method, which includes: acquiring carbon footprint-related data of the target intelligent product; performing blockchain notarization on the carbon footprint-related data to obtain carbon footprint chain data, which is stored on a preset distributed node network; extracting on-chain data from the carbon footprint chain data; performing data preprocessing on the on-chain data and selecting carbon footprint accounting data that meets the accounting requirements; substituting the carbon footprint accounting data into the carbon footprint calculation model to obtain carbon footprint accounting results; comparing the carbon labeling certification standards of the target market and the domestic carbon labeling certification standards to obtain a difference analysis report; adjusting the carbon footprint accounting results according to the difference analysis report to obtain standard adaptation results; using the standard adaptation results and carbon footprint accounting results as carbon footprint data; verifying the carbon footprint data to obtain verified carbon footprint data; and generating a carbon label based on the verified carbon footprint data.

[0067] Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, drones, low-altitude aircraft, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, and projection equipment. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted displays. Head-mounted displays can be virtual reality (VR) devices, augmented reality (AR) devices, and smart glasses. Server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0068] In one exemplary embodiment, such as Figure 2 As shown, a carbon labeling certification method is provided, which is applied to... Figure 1 Taking terminal 102 as an example, the explanation includes the following steps 202 to 210. Wherein:

[0069] Step 202: Obtain carbon footprint data related to the target intelligent product.

[0070] Among them, carbon footprint-related data refers to data related to the carbon footprint throughout the entire life cycle of the target intelligent product, such as the types of raw materials and the power of production equipment.

[0071] For example, the entire life cycle of the target intelligent product is divided into five stages according to the life cycle division rules: raw material acquisition, production and manufacturing, warehousing and transportation, use and recycling. In each of these five stages, a multi-source data interface is configured, including an IoT sensor interface, an international standard database interface and a third-party testing agency data interface. The carbon footprint-related data of the target intelligent product is collected using the multi-source data interface.

[0072] Optionally, identify corporate trade secrets in carbon footprint-related data, treat them as sensitive data, and perform desensitization processing on them; the desensitization processing includes data replacement and character masking.

[0073] Step 204: Perform blockchain notarization on the carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0074] Among them, blockchain evidence storage refers to using the characteristics of blockchain technology to fix and store carbon footprint-related data.

[0075] For example, the carbon footprint-related data is hashed, encrypted, and grouped and packaged. Each block of data records the encrypted data digest of the previous block of data to obtain carbon footprint chain data. The generated carbon footprint chain data is synchronized to a preset distributed node network for decentralized storage of carbon footprint chain data.

[0076] Optionally, carbon footprint-related data can be captured in real time and compared with carbon footprint chain data; if the carbon footprint chain data and carbon footprint-related data are different, the data from the different parts can be used as updated data for the carbon footprint-related data; the updated data can be added to the carbon footprint chain data and cover the data from the different parts.

[0077] Step 206: Extract on-chain data from the carbon footprint chain data; after preprocessing the on-chain data, select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results.

[0078] Data preprocessing includes data cleaning, duplicate data removal, and data format standardization. The carbon footprint calculation model is used to calculate the carbon footprint of the target intelligent product, including calculation parameters and coefficients. Carbon footprint calculation data refers to valid data that meets the calculation requirements within the carbon footprint chain data. On-chain data refers to the fully correlated data containing the original carbon footprint data and its corresponding encrypted data summary.

[0079] Optionally, on-chain data is extracted from the carbon footprint chain data; data cleaning, duplicate data removal, and data format standardization conversion are performed on the on-chain data in sequence to obtain processed on-chain data; valid data that meets the accounting requirements is selected from the processed on-chain data as carbon footprint accounting data; the carbon footprint accounting data is substituted into the carbon footprint calculation model for calculation to obtain the carbon footprint accounting result.

[0080] Step 208: Compare the carbon labeling certification standards of the target market with the domestic carbon labeling certification standards to obtain a difference analysis report; adjust the carbon footprint accounting results according to the difference analysis report to obtain standard adaptation results; use the standard adaptation results and carbon footprint accounting results as carbon footprint data.

[0081] The carbon labeling certification standards for the target market are obtained from an external international carbon labeling certification database. At this point, the carbon footprint calculation results meet the domestic carbon labeling certification standards.

[0082] For example, a difference analysis report is obtained by comparing the carbon labeling certification standards of the target market and the domestic carbon labeling certification standards; based on the specific differences in the difference analysis report, the carbon footprint accounting results are numerically adjusted and the format is modified to obtain the standard adaptation results.

[0083] Optionally, the system monitors the channels through which carbon labeling certification standards are published in real time; in the event of changes to the carbon labeling certification standards, the system automatically updates the changed content to the carbon labeling certification database, pushes an update notification to the user's device, and generates a standard change interpretation report.

[0084] Step 210: Verify the carbon footprint data to obtain verified carbon footprint data; generate a carbon label based on the verified carbon footprint data.

[0085] The carbon label is a digital carbon label that integrates a QR code and an NFC traceability label. It includes a unique identifier, carbon emissions, certification standards, and validity period. The unique identifier is linked to a chain of carbon footprint data.

[0086] Optionally, international certification verification rules can be invoked to verify the compliance of carbon footprint data; third-party testing data, industry benchmark data, and historical certification data can be imported; the imported data can be compared with the carbon footprint data that has passed the compliance verification in multiple dimensions, and the carbon footprint data that meets the preset conditions and has passed the compliance verification can be used as the carbon footprint data that has passed the verification.

[0087] Optionally, a carbon label ledger is constructed; the carbon label ledger is used to record the issuance time, changes, expiration time, and reasons for revocation of carbon labels. An expiration warning threshold is set in the carbon label ledger; the expiration warning threshold is used to trigger a reminder signal to notify enterprises when carbon labels are nearing their expiration date.

[0088] Optionally, user access requests and operational behaviors are monitored in real time, compared against a pre-defined malicious behavior signature database, and interception operations are performed and attack logs are recorded after identifying malicious intrusion attacks. Authentication data and verification results are added to the training set of the carbon footprint calculation model, and machine learning algorithms are used to iteratively optimize the carbon footprint calculation model based on the training set; authentication data includes carbon footprint calculation results, standard adaptation results, and carbon labeling information.

[0089] Furthermore, a role-based access control system is established, assigning functional operation permissions and data access scopes to different roles. After verifying user identity information, permissions to access reports, query data, and perform visualization operations are granted. In response to a user's request to access a report, an international certification report template is retrieved; after importing certification data, the international certification report template is automatically populated, generating a carbon footprint report; the carbon footprint report supports exporting to PDF format and printing. In response to a user's request to query data, a query window pops up; the query window receives query conditions including product model, certification stage, and time range, and generates query instructions based on the user's input; after receiving the query instructions, the corresponding carbon footprint-related data is extracted from the database and the query results are displayed to the user. In response to a user's visualization operation, a graphical component is used to display the carbon footprint accounting process nodes, data traceability links, and certification result information to the user.

[0090] The aforementioned carbon labeling certification method involves: acquiring carbon footprint-related data of the target intelligent product; performing blockchain notarization on the carbon footprint-related data to obtain carbon footprint chain data; and storing the carbon footprint chain data on a pre-defined distributed node network. This encrypted chain storage process ensures the immutability of the carbon footprint-related data, guaranteeing data reliability, comprehensiveness, and timely transmission. The method then extracts on-chain data from the carbon footprint chain data; performs data preprocessing on the on-chain data; filters out carbon footprint accounting data that meets the accounting requirements; substitutes the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting result; compares the target market carbon labeling certification standard with the domestic carbon labeling certification standard to obtain a difference analysis report; adjusts the carbon footprint accounting result based on the difference analysis report to obtain a standard adaptation result; and uses the standard adaptation result and the carbon footprint accounting result as the carbon footprint data. The aforementioned process of acquiring carbon footprint data employs a carbon footprint calculation model to automate the calculation results, reducing reliance on manual labor. By comparing the carbon labeling certification standards of the target market with domestic standards, the carbon footprint calculation results are modified, enhancing international recognition and ensuring seamless alignment between existing certification standards and mainstream international standards, achieving cross-border mutual recognition. The carbon footprint data is then verified to obtain verified data; based on this verified data, a carbon label is generated. This verification process addresses dynamic changes in real time, eliminating discrepancies between the carbon footprint calculation results and actual conditions. The resulting carbon label accurately reflects the carbon footprint of the target intelligent product throughout its entire lifecycle, providing enterprises with a green pass that meets international market requirements.

[0091] In one embodiment, performing blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data includes: performing calculations on the carbon footprint-related data using a preset algorithm to obtain an original data digest; encrypting the original data digest to obtain an encrypted data digest; grouping and packaging the carbon footprint-related data according to a preset order to obtain multiple blocks of data; wherein the encrypted data digest of each block of data is recorded sequentially by the next block of data; obtaining carbon footprint chain data based on the multiple blocks of data; and storing the carbon footprint chain data on a preset distributed node network.

[0092] The preset algorithm is a hash algorithm. The preset order is timestamp order. The preset distributed node network refers to a set of blockchain network nodes pre-selected and set according to specific objectives before the carbon footprint data is uploaded to the blockchain; these objectives can be compliance, auditing, and supply chain collaboration, among others. The original data digest is the hash value of the data, a fixed-length string obtained by hashing the carbon footprint-related data; the encrypted data digest is the result of encrypting the original data digest and setting it to a fixed format.

[0093] For example, a hash algorithm is used to process carbon footprint-related data to obtain an original data digest; an asymmetric encryption algorithm is used to encrypt the original data digest to obtain an encrypted data digest; the carbon footprint-related data is grouped and packaged according to timestamp order to obtain multiple blocks of data arranged in timestamp order; wherein, the encrypted data digest of each block of data is recorded sequentially by the next block of data; the multiple blocks of data constitute the carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network to achieve decentralized storage of the carbon footprint chain data.

[0094] In this embodiment, by performing blockchain notarization on carbon footprint-related data, a chain of carbon footprint data can be obtained. This not only ensures the immutability of the data but also guarantees distributed storage across multiple node networks, improving data security and reliability. This decentralized storage method avoids the risk of single points of failure; even if a node fails, the data can still be recovered from other nodes, ensuring data integrity and availability. Simultaneously, the traceability of blockchain makes the source and flow of carbon footprint-related data clearly visible, helping to enhance data credibility and public trust, and providing a solid foundation for subsequent carbon footprint accounting and carbon labeling generation.

[0095] In one embodiment, the carbon footprint accounting data is substituted into the carbon footprint calculation model to obtain the carbon footprint accounting result, including: analyzing the deviation between historical carbon footprint accounting data and actual verification data; adjusting the accounting coefficient of the carbon footprint calculation model according to the deviation; and substituting the carbon footprint accounting data into the adjusted carbon footprint calculation model to calculate the carbon footprint accounting result.

[0096] Historical carbon footprint accounting data refers to previously certified and stored carbon footprint accounting data on the blockchain; actual verification data refers to authoritative third-party data collected through multi-source data interfaces. The carbon footprint calculation model, after training, can automatically calculate the carbon emissions of the target intelligent product throughout its entire lifecycle.

[0097] For example, a machine learning algorithm is used to analyze the deviation between historical carbon footprint accounting data and actual verification data. Based on the deviation, the accounting coefficient of the carbon footprint calculation model is adjusted. After loading the accounting parameters of the carbon footprint calculation model and the adjusted carbon footprint calculation model, the carbon footprint accounting data is substituted to obtain the carbon footprint accounting result.

[0098] In this embodiment, due to the differences in carbon emission characteristics across different industries and products, and the continuous changes in production technologies and energy structures over time, a fixed calculation model cannot always accurately reflect the actual situation. Therefore, by analyzing the deviation between historical carbon footprint accounting data and actual verification data, and adjusting the accounting coefficients of the carbon footprint calculation model based on the deviation, and then substituting the carbon footprint accounting data into the adjusted carbon footprint calculation model for calculation, a carbon footprint accounting result that highly matches the actual carbon emission situation can be obtained. This method of adjusting the model's accounting coefficients based on the deviation between historical data and actual verification data greatly improves the accuracy of the carbon footprint accounting results.

[0099] In one embodiment, a carbon labeling certification standard difference analysis report is obtained by comparing the carbon labeling certification standards of the target market and the domestic carbon labeling certification standards. This includes: establishing a terminology mapping table and an indicator correspondence table between the international carbon labeling certification standards and the domestic carbon labeling certification standards; obtaining the carbon labeling certification standards of the target market from the international carbon labeling certification database; comparing the carbon labeling certification standards of the target market and the domestic carbon labeling certification standards based on the terminology mapping table and the indicator correspondence table to obtain the differences in carbon labeling certification data requirements; and generating a difference analysis report based on the differences in carbon labeling certification data requirements.

[0100] The terminology mapping table establishes a standardized vocabulary correspondence between domestic and international carbon labeling certification standards; the indicator correspondence table establishes a numerical correspondence between quantifiable evaluation parameters in domestic and international carbon labeling certification standards. Both the terminology mapping table and the indicator correspondence table support dynamic updates. Carbon labeling certification standards include different data requirements for carbon footprint accounting, such as carbon footprint accounting boundaries and methods.

[0101] Optionally, users can upload non-mainstream international carbon labeling certification standards to external international carbon labeling certification databases.

[0102] In this embodiment, by constructing a terminology mapping table and indicator correspondence table between international and domestic carbon labeling certification standards, a difference analysis report is generated between the target international market carbon labeling certification standards and domestic carbon labeling certification standards. The difference analysis report generated by the above process helps enterprises to deeply understand the certification requirements of different markets, provides a clear basis for subsequent adjustments to carbon footprint accounting results, and can accurately reflect the specific differences between international and domestic carbon labeling certification standards, clearly presenting the gap between the two for enterprises.

[0103] In one embodiment, the carbon footprint accounting results are adjusted according to the difference analysis report to obtain standard adaptation results, including: supplementing the carbon footprint accounting results with the accounting boundary data required by the carbon labeling certification standard of the target market according to the difference analysis report, and modifying the data unit in the carbon footprint accounting results to the data unit used by the carbon labeling certification standard of the target market, so as to obtain standard adaptation results that conform to the carbon labeling certification standard of the target market.

[0104] For example, based on the specific differences in the difference analysis report, the carbon footprint accounting results are supplemented with the accounting boundary data required by the carbon labeling certification standard of the target market, and the data units of the domestic carbon labeling certification standard in the carbon footprint accounting results are modified to the data units used by the carbon labeling certification standard of the target market, so as to obtain the standard adaptation results that conform to the carbon labeling certification standard of the target market.

[0105] In this embodiment, by supplementing the carbon footprint accounting results with the accounting boundary data required by the carbon labeling certification standard of the target market based on the difference analysis report, and modifying the data unit in the carbon footprint accounting results to the data unit used by the carbon labeling certification standard of the target market, a standard adaptation result that conforms to the carbon labeling certification standard of the target market is obtained. This can eliminate the differences between domestic and foreign standards, facilitate the international mutual recognition of certification results, and clear certification obstacles for enterprises to smoothly enter the international market. It can ensure that the carbon footprint accounting results not only meet the requirements of domestic standards, but also meet the specific regulations of the target market, greatly enhancing the international competitiveness of the enterprise's products.

[0106] In one embodiment, verifying the carbon footprint data to obtain verified carbon footprint data includes: acquiring the carbon labeling certification verification rules of the target market; verifying the carbon footprint data for compliance using the carbon labeling certification verification rules; receiving carbon footprint calculation comparison data; the carbon footprint calculation comparison data includes third-party testing data, industry benchmark data, and historical certification data; calculating the calculation deviation between the compliant verified carbon footprint data and the carbon footprint calculation comparison data; obtaining verified carbon footprint data if the calculation deviation is less than a preset deviation threshold; and obtaining verified carbon footprint data if the calculation deviation is greater than the preset deviation threshold, in the case of target intelligent... In the product manufacturing process, the stage where the accounting deviation occurs is located; based on the stage where the accounting deviation occurs, the cause of the deviation and the correction suggestions are generated and displayed in a visual interface; the visual interface is used to display the cause of the deviation and the correction suggestions; in response to the correction operation performed by the user according to the correction suggestions, the target carbon footprint data is obtained; the target carbon footprint data is replaced with carbon footprint data, and the compliance verification of the carbon footprint data using carbon labeling certification verification rules and subsequent steps are repeated until the accounting deviation calculated using the target carbon footprint data is less than a preset deviation threshold, and the corresponding target carbon footprint data is taken as the carbon footprint data that has passed the verification.

[0107] The preset deviation threshold can be set by the user.

[0108] Optionally, the carbon labeling certification verification rules for the target market can be obtained from an international certification verification rule library or can be user-defined and generated.

[0109] In this embodiment, by performing dual verification on the carbon footprint data, the authenticity and reliability of the final carbon labeling result can be ensured. Specifically, by calculating the accounting deviation between the compliance-verified carbon footprint data and the carbon footprint accounting comparison data, dynamic changes such as raw material price fluctuations, production process upgrades, and international standard updates can be responded to. This allows for the rapid identification of the deviation when there is a discrepancy between the carbon footprint accounting result and the actual situation. Furthermore, a visual interface is used to display the automatically generated causes of the deviation and correction suggestions, thereby reducing the cost of problem correction.

[0110] Next reference Figure 3 This application describes a carbon labeling authentication method using a specific embodiment.

[0111] Step 1: Collect carbon footprint-related data. Divide the entire lifecycle of the target intelligent product into five stages according to the lifecycle division rules: raw material acquisition, production and manufacturing, warehousing and transportation, and use and recycling. Configure multi-source data interfaces for each stage and use these interfaces to collect carbon footprint-related data of the target intelligent product.

[0112] Step 2: Perform blockchain notarization on carbon footprint-related data. A hash algorithm is used to process the carbon footprint-related data, and an asymmetric encryption algorithm is used to encrypt the original data digest, resulting in an encrypted data digest. The carbon footprint-related data is then grouped and packaged according to timestamp order, resulting in a carbon footprint chain data consisting of multiple blocks arranged in timestamp order. The encrypted data digest of each block is sequentially recorded by the next block. The carbon footprint chain data is stored on a pre-defined distributed node network.

[0113] Step 3: Intelligent accounting yields carbon footprint accounting results. This involves extracting on-chain data from the carbon footprint chain data; preprocessing the on-chain data to select carbon footprint accounting data that meets the accounting requirements; using machine learning algorithms to analyze the deviation between historical carbon footprint accounting data and actual verification data; adjusting the accounting coefficients of the carbon footprint calculation model based on the deviation; loading the accounting parameters of the carbon footprint calculation model and the adjusted carbon footprint calculation model, and then substituting the carbon footprint accounting data to obtain the carbon footprint accounting results.

[0114] Step 4: Align the carbon footprint accounting results with international standards. Establish a terminology mapping table and indicator correspondence table between domestic and international carbon labeling certification standards; compare the different carbon labeling certification data requirements between the target market's carbon labeling certification standards and the domestic carbon labeling certification standards, and generate a difference analysis report; based on the specific differences in the difference analysis report, adjust the numerical values ​​and format of the carbon footprint accounting results to form a standard adaptation result.

[0115] Step 5: Verify the standard adaptation results and carbon footprint calculation results. International certification verification rules are invoked to perform compliance checks on the carbon footprint calculation results and standard adaptation results. Simultaneously, imported third-party testing data, industry benchmark data, and historical certification data are compared with the carbon footprint calculation results and standard adaptation results across multiple dimensions. Preset deviation thresholds are used to pinpoint the specific steps causing deviations, and a visual interface is used to display the causes of deviations and provide correction suggestions.

[0116] Step 6: Generate and manage carbon labels. Extract verified carbon footprint data, generate digital carbon labels that are linked to blockchain-stored data and integrate QR codes and NFC traceability identifiers. Simultaneously, establish a carbon label ledger and, by setting an expiration date warning threshold, trigger an alert signal to notify the enterprise when the carbon label is nearing its expiration date.

[0117] In addition, the following functions also exist:

[0118] Dynamic data can be updated. An incremental update method is adopted. First, dynamic data related to carbon footprint is captured in real time and compared with the on-chain evidence data. The updated data is added to the on-chain evidence data and overwrites the old data. Then, the collected new certification data and verification results are added to the model training set. The carbon footprint calculation model is iteratively optimized through machine learning. At the same time, the carbon emission standard release channels are monitored regularly. After obtaining the standard update content, the built-in standard and rule resources of the system are automatically updated, and update notifications are pushed to relevant users and standard change interpretation reports are generated simultaneously.

[0119] It enables user interaction. It uses graphical components to display carbon footprint accounting process nodes, data traceability links, and certification result information; it presets query conditions, receives query commands from users, and provides query results; it has built-in international certification report templates, automatically fills in template content after importing certification data, generates carbon footprint reports, and supports PDF export and printing.

[0120] Implement security protection for terminals. Establish a role-based access control system, identify enterprise trade secrets on terminals, anonymize sensitive data, monitor terminal access requests and operations in real time, compare them with a pre-set malicious behavior signature database, and intercept and log attacks after identifying malicious intrusion attacks.

[0121] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0122] Based on the same inventive concept, this application also provides a carbon labeling authentication device for implementing the carbon labeling authentication method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more carbon labeling authentication device embodiments provided below can be found in the limitations of the carbon labeling authentication method described above, and will not be repeated here.

[0123] In one exemplary embodiment, such as Figure 4 As shown, a carbon labeling authentication device 400 is provided, including: an acquisition module 402, a certificate storage module 404, a screening module 406, an adjustment module 408, and a generation module 410, wherein:

[0124] The acquisition module 402 is used to acquire carbon footprint-related data of the target intelligent product.

[0125] The evidence storage module 404 is used to perform blockchain evidence storage operations on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a preset distributed node network.

[0126] The filtering module 406 is used to extract on-chain data from the carbon footprint chain data; after preprocessing the on-chain data, it filters out carbon footprint accounting data that meets the accounting requirements; and substitutes the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results.

[0127] Adjustment module 408 is used to compare the carbon labeling certification standards of the target market with the domestic carbon labeling certification standards to obtain a difference analysis report; based on the difference analysis report, the carbon footprint accounting results are adjusted to obtain standard adaptation results; the standard adaptation results and carbon footprint accounting results are used as carbon footprint data.

[0128] The generation module 410 is used to verify the carbon footprint data and obtain verified carbon footprint data; based on the verified carbon footprint data, a carbon label is generated.

[0129] In one embodiment, the evidence storage module is further configured to perform calculations on carbon footprint-related data using a preset algorithm to obtain an original data digest; encrypt the original data digest to obtain an encrypted data digest; group and package the carbon footprint-related data according to a preset order to obtain multiple block data; wherein the encrypted data digest of the block data is recorded sequentially by the next block data; based on the multiple block data, carbon footprint chain data is obtained; the carbon footprint chain data is stored on a preset distributed node network.

[0130] In one embodiment, the screening module is also used to analyze the deviation between historical carbon footprint accounting data and actual verification data; adjust the accounting coefficient of the carbon footprint calculation model according to the deviation; substitute the carbon footprint accounting data into the adjusted carbon footprint calculation model for calculation to obtain the carbon footprint accounting result.

[0131] In one embodiment, the adjustment module is further configured to establish a terminology mapping table and indicator correspondence table between international carbon labeling certification standards and domestic carbon labeling certification standards; obtain the target market carbon labeling certification standards from the international carbon labeling certification database; compare the target market carbon labeling certification standards and domestic carbon labeling certification standards based on the terminology mapping table and indicator correspondence table to obtain the differences in carbon labeling certification data requirements; and generate a difference analysis report based on the differences in carbon labeling certification data requirements.

[0132] In one embodiment, the adjustment module is also used to supplement the carbon footprint accounting results with the accounting boundary data required by the carbon labeling certification standard of the target market based on the difference analysis report, and modify the data unit in the carbon footprint accounting results to the data unit used by the carbon labeling certification standard of the target market, so as to obtain the standard adaptation result that conforms to the carbon labeling certification standard of the target market.

[0133] In one embodiment, the generation module is further configured to: acquire carbon labeling certification verification rules for the target market; perform compliance verification on carbon footprint data using the carbon labeling certification verification rules; receive carbon footprint accounting comparison data; the carbon footprint accounting comparison data includes third-party testing data, industry benchmark data, and historical certification data; calculate the accounting deviation between the compliant carbon footprint data and the carbon footprint accounting comparison data; if the accounting deviation is less than a preset deviation threshold, obtain the verified carbon footprint data; if the accounting deviation is greater than the preset deviation threshold, locate the accounting deviation generation point in the target intelligent product production process; based on the accounting deviation generation point, generate the deviation cause and correction suggestions, and display a visualization interface; the visualization interface is used to display the deviation cause and correction suggestions; in response to the correction operation performed by the user according to the correction suggestions, obtain the target carbon footprint data; replace the target carbon footprint data with the carbon footprint data, and repeat the compliance verification of the carbon footprint data using the carbon labeling certification verification rules and subsequent steps until the accounting deviation calculated using the target carbon footprint data is less than the preset deviation threshold, and then use the corresponding target carbon footprint data as the verified carbon footprint data.

[0134] Each module in the aforementioned carbon labeling certification device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0135] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 5As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a carbon labeling authentication method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0136] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0137] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0138] Obtain carbon footprint data related to the target intelligent product;

[0139] Perform blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0140] Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results;

[0141] A difference analysis report was obtained by comparing the carbon labeling certification standards of the target market with those of China. Based on the difference analysis report, the carbon footprint calculation results were adjusted to obtain the standard adaptation results. The standard adaptation results and the carbon footprint calculation results were used as the carbon footprint data.

[0142] The carbon footprint data is verified to obtain verified carbon footprint data; a carbon label is generated based on the verified carbon footprint data.

[0143] In one embodiment, when the processor executes the computer program, it further performs the following steps: using a preset algorithm to process carbon footprint-related data to obtain an original data digest; encrypting the original data digest to obtain an encrypted data digest; grouping and packaging the carbon footprint-related data according to a preset order to obtain multiple block data; wherein the encrypted data digest of the block data is recorded sequentially by the next block data; and obtaining carbon footprint chain data based on the multiple block data; the carbon footprint chain data is stored on a preset distributed node network.

[0144] In one embodiment, when the processor executes the computer program, it also performs the following steps: analyzing the deviation between historical carbon footprint accounting data and actual verification data; adjusting the accounting coefficients of the carbon footprint calculation model based on the deviation; substituting the carbon footprint accounting data into the adjusted carbon footprint calculation model for calculation to obtain the carbon footprint accounting result.

[0145] In one embodiment, when the processor executes the computer program, it further performs the following steps: establishing a terminology mapping table and indicator correspondence table between international carbon labeling certification standards and domestic carbon labeling certification standards; obtaining the carbon labeling certification standards for the target market from the international carbon labeling certification database; comparing the carbon labeling certification standards for the target market and the standard market based on the terminology mapping table and indicator correspondence table to obtain the differences in carbon labeling certification data requirements; and generating a difference analysis report based on the differences in carbon labeling certification data requirements.

[0146] In one embodiment, when the processor executes the computer program, it further performs the following steps: based on the difference analysis report, it supplements the carbon footprint accounting results with the accounting boundary data required by the carbon labeling certification standard of the target market, and modifies the data unit in the carbon footprint accounting results to the data unit used by the carbon labeling certification standard of the target market, so as to obtain a standard adaptation result that conforms to the carbon labeling certification standard of the target market.

[0147] In one embodiment, when the processor executes the computer program, it further performs the following steps: obtaining carbon labeling certification verification rules for the target market; verifying the carbon footprint data for compliance using the carbon labeling certification verification rules; receiving carbon footprint accounting comparison data; the carbon footprint accounting comparison data includes third-party testing data, industry benchmark data, and historical certification data; calculating the accounting deviation between the compliant carbon footprint data and the carbon footprint accounting comparison data; obtaining verified carbon footprint data if the accounting deviation is less than a preset deviation threshold; locating the accounting deviation generation point in the target intelligent product production process if the accounting deviation is greater than the preset deviation threshold; generating the cause of the deviation and correction suggestions based on the accounting deviation generation point, and displaying a visualization interface; the visualization interface is used to display the cause of the deviation and correction suggestions; obtaining target carbon footprint data in response to the correction operation performed by the user according to the correction suggestions; replacing the target carbon footprint data with the carbon footprint data, and repeatedly performing the compliance verification of the carbon footprint data using the carbon labeling certification verification rules and subsequent steps until the accounting deviation calculated using the target carbon footprint data is less than the preset deviation threshold, and then using the corresponding target carbon footprint data as verified carbon footprint data.

[0148] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0149] Obtain carbon footprint data related to the target intelligent product;

[0150] Perform blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0151] Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results;

[0152] A difference analysis report was obtained by comparing the carbon labeling certification standards of the target market with those of China. Based on the difference analysis report, the carbon footprint calculation results were adjusted to obtain the standard adaptation results. The standard adaptation results and the carbon footprint calculation results were used as the carbon footprint data.

[0153] The carbon footprint data is verified to obtain verified carbon footprint data; a carbon label is generated based on the verified carbon footprint data.

[0154] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: using a preset algorithm to process carbon footprint-related data to obtain an original data digest; encrypting the original data digest to obtain an encrypted data digest; grouping and packaging the carbon footprint-related data according to a preset order to obtain multiple blocks of data; wherein the encrypted data digest of each block of data is recorded sequentially by the next block of data; and obtaining a carbon footprint chain of data based on the multiple blocks of data; the carbon footprint chain of data is stored on a preset distributed node network.

[0155] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: In one embodiment, when the processor executes the computer program, it further performs the following steps: Analyze the deviation between historical carbon footprint accounting data and actual verification data; adjust the accounting coefficient of the carbon footprint calculation model according to the deviation; substitute the carbon footprint accounting data into the adjusted carbon footprint calculation model for calculation to obtain the carbon footprint accounting result.

[0156] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: establishing a terminology mapping table and indicator correspondence table between international carbon labeling certification standards and domestic carbon labeling certification standards; obtaining the carbon labeling certification standards for the target market from the international carbon labeling certification database; comparing the carbon labeling certification standards for the target market and the standard market based on the terminology mapping table and indicator correspondence table to obtain the differences in carbon labeling certification data requirements; and generating a difference analysis report based on the differences in carbon labeling certification data requirements.

[0157] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: based on the difference analysis report, it supplements the carbon footprint accounting results with the accounting boundary data required by the carbon labeling certification standard of the target market, and modifies the data unit in the carbon footprint accounting results to the data unit used by the carbon labeling certification standard of the target market, so as to obtain a standard adaptation result that conforms to the carbon labeling certification standard of the target market.

[0158] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining carbon labeling certification verification rules for the target market; verifying the carbon footprint data for compliance using the carbon labeling certification verification rules; receiving carbon footprint accounting comparison data; the carbon footprint accounting comparison data includes third-party testing data, industry benchmark data, and historical certification data; calculating the accounting deviation between the compliant carbon footprint data and the carbon footprint accounting comparison data; obtaining verified carbon footprint data if the accounting deviation is less than a preset deviation threshold; locating the accounting deviation generation point in the target intelligent product production process if the accounting deviation is greater than the preset deviation threshold; generating the cause of the deviation and correction suggestions based on the accounting deviation generation point, and displaying a visualization interface; the visualization interface is used to display the cause of the deviation and correction suggestions; obtaining target carbon footprint data in response to the correction operation performed by the user according to the correction suggestions; replacing the target carbon footprint data with the carbon footprint data, and repeatedly performing the compliance verification of the carbon footprint data using the carbon labeling certification verification rules and subsequent steps until the accounting deviation calculated using the target carbon footprint data is less than the preset deviation threshold, and then using the corresponding target carbon footprint data as verified carbon footprint data.

[0159] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0160] Obtain carbon footprint data related to the target intelligent product;

[0161] Perform blockchain notarization on carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network.

[0162] Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and select carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting results;

[0163] A difference analysis report was obtained by comparing the carbon labeling certification standards of the target market with those of China. Based on the difference analysis report, the carbon footprint calculation results were adjusted to obtain the standard adaptation results. The standard adaptation results and the carbon footprint calculation results were used as the carbon footprint data.

[0164] The carbon footprint data is verified to obtain verified carbon footprint data; based on the verified carbon footprint data, a carbon label is generated.

[0165] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: using a preset algorithm to process carbon footprint-related data to obtain an original data digest; encrypting the original data digest to obtain an encrypted data digest; grouping and packaging the carbon footprint-related data according to a preset order to obtain multiple blocks of data; wherein the encrypted data digest of each block of data is recorded sequentially by the next block of data; and obtaining a carbon footprint chain of data based on the multiple blocks of data; the carbon footprint chain of data is stored on a preset distributed node network.

[0166] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: In one embodiment, when the processor executes the computer program, it further performs the following steps: Analyze the deviation between historical carbon footprint accounting data and actual verification data; adjust the accounting coefficient of the carbon footprint calculation model according to the deviation; substitute the carbon footprint accounting data into the adjusted carbon footprint calculation model for calculation to obtain the carbon footprint accounting result.

[0167] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: establishing a terminology mapping table and indicator correspondence table between international carbon labeling certification standards and domestic carbon labeling certification standards; obtaining the carbon labeling certification standards for the target market from the international carbon labeling certification database; comparing the carbon labeling certification standards for the target market and the standard market based on the terminology mapping table and indicator correspondence table to obtain the differences in carbon labeling certification data requirements; and generating a difference analysis report based on the differences in carbon labeling certification data requirements.

[0168] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: based on the difference analysis report, it supplements the carbon footprint accounting results with the accounting boundary data required by the carbon labeling certification standard of the target market, and modifies the data unit in the carbon footprint accounting results to the data unit used by the carbon labeling certification standard of the target market, so as to obtain a standard adaptation result that conforms to the carbon labeling certification standard of the target market.

[0169] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining carbon labeling certification verification rules for the target market; verifying the carbon footprint data for compliance using the carbon labeling certification verification rules; receiving carbon footprint accounting comparison data; the carbon footprint accounting comparison data includes third-party testing data, industry benchmark data, and historical certification data; calculating the accounting deviation between the compliant carbon footprint data and the carbon footprint accounting comparison data; obtaining verified carbon footprint data if the accounting deviation is less than a preset deviation threshold; locating the accounting deviation generation point in the target intelligent product production process if the accounting deviation is greater than the preset deviation threshold; generating the cause of the deviation and correction suggestions based on the accounting deviation generation point, and displaying a visualization interface; the visualization interface is used to display the cause of the deviation and correction suggestions; obtaining target carbon footprint data in response to the correction operation performed by the user according to the correction suggestions; replacing the target carbon footprint data with the carbon footprint data, and repeatedly performing the compliance verification of the carbon footprint data using the carbon labeling certification verification rules and subsequent steps until the accounting deviation calculated using the target carbon footprint data is less than the preset deviation threshold, and then using the corresponding target carbon footprint data as verified carbon footprint data.

[0170] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0171] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0172] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0173] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A carbon labeling certification method, characterized in that, The method includes: Obtain carbon footprint data related to the target intelligent product; The carbon footprint-related data is stored on a blockchain for evidence preservation to obtain carbon footprint chain data; the carbon footprint chain data is stored on a pre-defined distributed node network. Extract on-chain data from the carbon footprint chain data; perform data preprocessing on the on-chain data and filter out carbon footprint accounting data that meets the accounting requirements; substitute the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting result; A difference analysis report is obtained by comparing the carbon labeling certification standards of the target market and the domestic carbon labeling certification standards; the carbon footprint calculation results are adjusted according to the difference analysis report to obtain the standard adaptation results; the standard adaptation results and the carbon footprint calculation results are used as carbon footprint data. The carbon footprint data is verified to obtain verified carbon footprint data; a carbon label is generated based on the verified carbon footprint data.

2. The method according to claim 1, characterized in that, The step of performing blockchain notarization on the carbon footprint-related data to obtain carbon footprint chain data includes: The carbon footprint-related data are processed using a preset algorithm to obtain a raw data summary; The original data digest is encrypted to obtain an encrypted data digest; The carbon footprint-related data are grouped and packaged according to a preset order to obtain multiple data blocks; wherein, the encrypted data digest of the data block is recorded in the next data block in sequence; Based on the multiple blocks of data, carbon footprint chain data is obtained; the carbon footprint chain data is stored on a pre-defined distributed node network.

3. The method according to claim 1, characterized in that, The step of substituting the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting result includes: Analyze the discrepancies between historical carbon footprint accounting data and actual verification data; Based on the deviation value, adjust the accounting coefficients of the carbon footprint calculation model; The carbon footprint accounting data is substituted into the adjusted carbon footprint calculation model for calculation to obtain the carbon footprint accounting result.

4. The method according to claim 1, characterized in that, The comparison of carbon labeling certification standards in the target market and domestic carbon labeling certification standards yielded a report analyzing the differences in certification standards, including: Establish a terminology mapping table and indicator correspondence table between international carbon labeling certification standards and domestic carbon labeling certification standards; Obtain the carbon labeling certification standards for the target market from the international carbon labeling certification database; based on the terminology mapping table and indicator correspondence table, compare the carbon labeling certification standards of the target market and the carbon labeling certification standards of the standard market to obtain the differences in carbon labeling certification data requirements. A difference analysis report is generated based on the differences in carbon labeling certification data requirements.

5. The method according to claim 1, characterized in that, The adjustment of the carbon footprint calculation results based on the difference analysis report to obtain standard adaptation results includes: Based on the difference analysis report, the carbon footprint accounting results are supplemented with the accounting boundary data required by the carbon labeling certification standard of the target market, and the data units in the carbon footprint accounting results are modified to the data units used by the carbon labeling certification standard of the target market, so as to obtain the standard adaptation results that conform to the carbon labeling certification standard of the target market.

6. The method according to claim 1, characterized in that, The verification of the carbon footprint data to obtain verified carbon footprint data includes: Obtain the carbon labeling certification verification rules for the target market; use the carbon labeling certification verification rules to verify the compliance of the carbon footprint data; Receive carbon footprint accounting comparison data; the carbon footprint accounting comparison data includes third-party testing data, industry benchmark data and historical certification data; calculate the accounting deviation between the compliance-verified carbon footprint data and the carbon footprint accounting comparison data; If the calculation deviation is less than a preset deviation threshold, the carbon footprint data that has passed verification is obtained; If the calculated deviation exceeds a preset deviation threshold, the deviation generation point is located in the production process of the target intelligent product. Based on the deviation generation point, the cause of the deviation and correction suggestions are generated and displayed on a visual interface. The visual interface displays the cause of the deviation and correction suggestions. In response to the correction operation performed by the user according to the correction suggestions, target carbon footprint data is obtained. The target carbon footprint data is replaced with carbon footprint data, and the compliance verification of the carbon footprint data using the carbon labeling certification verification rules and subsequent steps are repeated until the calculated deviation calculated using the target carbon footprint data is less than the preset deviation threshold. The corresponding target carbon footprint data is then used as the verified carbon footprint data.

7. A carbon labeling authentication device, characterized in that, The device includes: The acquisition module is used to acquire carbon footprint-related data of the target intelligent product; The evidence storage module is used to perform blockchain evidence storage operations on the carbon footprint-related data to obtain carbon footprint chain data; the carbon footprint chain data is stored on a preset distributed node network. The filtering module is used to extract on-chain data from the carbon footprint chain data; after preprocessing the on-chain data, it filters out carbon footprint accounting data that meets the accounting requirements; and substitutes the carbon footprint accounting data into the carbon footprint calculation model to obtain the carbon footprint accounting result. The adjustment module is used to compare the carbon labeling certification standards of the target market with the domestic carbon labeling certification standards to obtain a difference analysis report; based on the difference analysis report, the carbon footprint calculation results are adjusted to obtain standard adaptation results; the standard adaptation results and the carbon footprint calculation results are used as carbon footprint data. The generation module is used to verify the carbon footprint data to obtain verified carbon footprint data; and to generate a carbon label based on the verified carbon footprint data.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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