Block chain-based carbon emission factor database multi-party co-construction method

Abstract

The invention relates to a carbon emission factor database multi-party co-construction method based on a block chain, and the method comprises the following steps: constructing a block chain platform, enabling a user to access based on a unique credible identity mark, and enabling each credible identity mark to correspond to a digital wallet; receiving carbon emission factor data provided by a user, checking by adopting a mode based on field sampling check and model accounting random test, and storing the checked data in a block chain-based carbon emission factor database according to product multi-level classification codes and process, region and effective time dimensions; acquiring a data use request, querying carbon emission factor data according to an optimal matching principle, and paid awarding the matched data to a requesting user for use; calculating the contribution rate of the data of each carbon emission factor according to the authorization information, calculating the payment profit sharing according to the contribution rate, and transmitting the payment profit sharing to a digital wallet of a data providing user. Compared with the prior art, upstream and downstream multi-party co-construction and timely updating of the carbon emission factor database of an industrial chain can be promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and in particular, relates to a method for multi-party co-construction of a carbon emission factor database based on blockchain. Background Art

[0002] Carbon emission factors usually refer to the carbon dioxide emissions generated by energy consumption per unit mass (such as per kilogram, per ton) or per unit energy (such as per kilowatt-hour, per joule). They are widely used in greenhouse gas emission accounting, energy auditing, environmental impact assessment and other fields. The carbon emission factor database is a collection of carbon emission factor data for various materials, energy, products, etc. These data are mainly used for carbon footprint accounting, which can help companies, industries and even countries understand their own carbon emissions and provide data support for the formulation of emission reduction strategies. When evaluating the carbon footprint of a product, by querying and using the data in the carbon emission factor database, the carbon emissions of the product throughout its life cycle can be calculated and compared.

[0003] Chinese patent application CN202310689255.2 discloses a blockchain-based carbon emission management method and system, which uses blockchain technology to encrypt and store carbon emission data and build a carbon emission factor database, but the above method does not provide detailed steps and methods for building a carbon emission factor database. Each carbon emission factor data in the carbon emission factor database should be traceable, including data sources, calculation methods, assumptions, etc., to ensure the accuracy and reliability of the data. The current carbon emission factor database has the following problems that need to be solved:

[0004] 1) Data missing problem. Manufacturing companies often protect production technology and production process data as trade secrets and are unwilling to disclose or disclose false production technology and production process data related to carbon emission factor accounting, resulting in insufficient integrity and reliability of carbon emission factor industry data and historical data.

[0005] 2) Insufficient data standardization. Accounting standards vary from industry to industry. In addition, there are many sources for parameters such as the calorific value, carbon content per unit calorific value, and carbon oxidation rate of the same fuel. A unified and complete carbon footprint accounting standard system has not yet been established, and it is impossible to manage and query carbon emission data of products from different sources and types according to a unified classification system.

[0006] 3) The rapid construction of high-quality, localized databases. Currently, many carbon emission factor databases are built by a single institution, and there are many problems with data sources, data accuracy, and data timeliness. It is necessary to encourage all parties in the upstream and downstream of the industrial chain to participate in database construction and provide their own real and timely updated data.

[0007] Therefore, it is necessary to design a method for multi-party co-construction of a carbon emission factor database to improve the integrity, reliability, timeliness and standardization of carbon emission factor data and promote the sharing and use of carbon data. Summary of the invention

[0008] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a method for multi-party co-construction of a carbon emission factor database based on blockchain, improve the integrity, reliability and standardization of carbon emission factor data, and promote the sharing and use of carbon data.

[0009] The purpose of the present invention can be achieved by the following technical solutions:

[0010] The present invention provides a method for co-building a carbon emission factor database by multiple parties based on blockchain, comprising the following steps:

[0011] Building a blockchain platform, where platform users access the blockchain platform based on a unique trusted identity token, and each trusted identity token corresponds to a digital wallet;

[0012] The blockchain platform receives product carbon emission factor data provided by platform users, verifies it by on-site sampling verification and model calculation random testing, saves the verified carbon emission factor data according to the product multi-level classification code and process, region, and effective time dimensions, and builds a blockchain-based carbon emission factor database;

[0013] The blockchain platform obtains a request from a platform user to use carbon emission factor data, queries the blockchain-based carbon emission factor database according to the best matching principle, grants the matching carbon emission factor data to the platform user who initiated the use request for a fee, and records the corresponding authorization information;

[0014] According to the authorization information, the contribution rate of each carbon emission factor data in the blockchain-based carbon emission factor database is calculated, and according to the contribution rate, the paid profit of the platform user for using the carbon emission factor data is sent to the digital wallet of the platform user who provides the corresponding carbon emission factor data through a smart contract.

[0015] Furthermore, the trusted identity mark includes an identity code and a key pair.

[0016] Furthermore, the blockchain platform verifies the carbon emission factor data provided by platform users by means of on-site sampling verification and model calculation random testing. The specific process is as follows:

[0017] Get the calculation parameter list x of carbon emission factor data provided by platform users i , perform random sampling according to the preset sampling ratio and generate a list of sampling calculation parameters y i ;

[0018] The platform user provides the extraction calculation parameter list y i The platform obtains the extraction and calculation parameter list y from the production site i If the numerical data in the comparison and verification cannot pass the accounting parameter value standard, the carbon emission factor data provided by the platform user will be rejected;

[0019] The platform randomly modifies the extraction calculation parameter list y i The verified value data, based on the revised accounting parameter value data, the platform user uses its own carbon emission factor accounting model to calculate the carbon emission factor, and compares and verifies it with the calculation result of the verification model of the blockchain platform. If the verification fails, the platform user is refused to provide new carbon emission factor data;

[0020] The platform calculates the deviation rate of carbon emission factor data provided by platform users based on on-site sampling verification data and model accounting random test data.

[0021] Furthermore, the product classification includes a first category, a second category, and a third category with gradually narrowing scopes.

[0022] Furthermore, the geographical dimension includes national, provincial, municipal, district and county information.

[0023] Furthermore, the effective time dimension includes an effective start time and an effective end time.

[0024] Furthermore, in the blockchain-based carbon emission factor database, each piece of carbon emission factor data includes the trusted identity mark of the data provider, the data provision time, the trusted identity mark of the verifier and the verification time.

[0025] Furthermore, the optimal matching principle is the fine-grained priority principle, which gives priority to carbon emission factor data with small product classification, small geographical dimension, small data deviation rate, process matching, and effective time matching.

[0026] Furthermore, the platform user's request for carbon emission factor data includes a list of material and energy quantities p i and pay the fee amount.

[0027] Furthermore, the calculation method of paid profit sharing is as follows:

[0028]

[0029] profit i =amount*contribution_ratio i

[0030] Where n represents the number of elements in the material and energy list, p i represents the quantity of the i-th material and energy, factor i represents the carbon emission factor of the i-th material and energy, contribution_ratio i represents the contribution rate of the i-th material and energy, profit i Represents the payment share of the i-th material and energy.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. The present invention provides a method for multi-party co-construction of a carbon emission factor database based on blockchain. First, a blockchain platform is constructed. Platform users access the blockchain platform based on a unique trusted identity mark. Each trusted identity mark corresponds to a digital wallet. Blockchain technology can effectively confirm the data ownership of platform users, encourage platform users to provide data, and alleviate the problem of data missing; support platform operators, verification agencies, and certification agencies to verify and certify carbon emission factor data on the blockchain; the blockchain platform receives carbon emission factor data provided by platform users, and verifies it in a manner based on on-site sampling verification and model accounting random testing, which can ensure the accuracy and reliability of carbon emission factor data, and classify the verified carbon emission factor data according to the product multi-level classification code and process, region, and effective time dimensions. Storage, build a blockchain-based carbon emission factor database, through a standardized classification system, can effectively realize fine-grained classification, storage and retrieval of carbon emission data, improve the efficiency and convenience of data management; the blockchain platform obtains the platform user's request to use the carbon emission factor data, and queries it in the blockchain-based carbon emission factor database according to the optimal matching principle. The matching carbon emission factor data is granted to the platform user who initiated the use request for a fee, and the corresponding authorization information is recorded. The contribution rate of each carbon emission factor data in the blockchain-based carbon emission factor database is calculated based on the authorization information. According to the contribution rate, the paid profit of the platform user for using the carbon emission factor data is sent to the digital wallet of the platform user who provides the corresponding carbon emission factor data through a smart contract, which can further incentivize platform users to provide data.

[0033] 2. The specific process of verifying the carbon emission factor data provided by the platform users by using the on-site sampling verification and model calculation random test is as follows: First, obtain the calculation parameter list x of the carbon emission factor data provided by the platform users. i , perform random sampling according to the preset sampling ratio and generate a list of sampling calculation parameters y i ; Then, the platform user provides the extraction calculation parameter list y i The platform obtains the list of extraction and calculation parameters y from the production sitei If the comparison and verification fails to pass the accounting parameter value standard, the platform will refuse to accept the carbon emission factor data provided by the platform user; again, the platform randomly modifies and extracts the accounting parameter list y i Based on the verified data, the platform users use their own carbon emission factor accounting model to calculate the carbon emission factor according to the revised accounting parameter value data, and compare and verify it with the calculation result of the verification model of the blockchain platform. If the verification fails, the platform users will be refused to provide new carbon emission factor data. The platform calculates the deviation rate (data accuracy) of the carbon emission factor data provided by the platform users based on the on-site sampling verification data and the model accounting random test data. Through the above verification, the platform users do not need to provide the complete production process and production process data of the product, and protect the business secrets of the data provider. At the same time, the platform can verify the correctness, accuracy and reliability of the data, and can ensure the accuracy and uniformity of the carbon emission factor accounting model of the platform users, further solving the problem of insufficient data standardization.

[0034] 3. In the present invention, inquiries are made in the blockchain-based carbon emission factor database according to the optimal matching principle, and the matching data are provided to the platform users for use at a fee, and the corresponding authorization information is recorded. The contribution rate of each carbon emission factor data is calculated according to the authorization information, and then the paid profit is calculated. The optimal matching principle is the fine-grained priority principle, that is, priority is given to carbon emission factor data with small product classification, small geographical dimension, small data deviation rate, process matching, and effective time matching, so as to provide carbon emission factor data with high compliance and accuracy for the requesting user's materials and energy, and at the same time encourage data providers to provide fine-grained and timely updated carbon emission factor data in order to obtain paid profit. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a flow chart of the method of the present invention;

[0036] Figure 2 This is a schematic diagram of the model of the blockchain-based carbon emission factor database. DETAILED DESCRIPTION

[0037] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0038] Example:

[0039] This embodiment provides a method for co-building a carbon emission factor database based on blockchain. Figure 1 As shown, the following steps are included:

[0040] S1. Build a blockchain platform. Platform users access the blockchain platform based on a unique trusted identity token user_did. Each trusted identity token corresponds to a digital wallet user_wallet.

[0041] Trusted identity markers include identity codes and key pairs. The decentralized nature of blockchain makes data more secure, transparent and reliable, reduces the risk of single point failures and centralized institutions being tampered with or attacked, and ensures the immutability, security and integrity of data through cryptographic algorithms.

[0042] S2. Platform users use their trusted identity token user_did to access the blockchain platform and provide the product's carbon emission factor data factor, but do not provide the platform with the complete production process data for the product's carbon emission factor accounting, nor do they provide a complete model for carbon emission factor accounting.

[0043] S3. The blockchain platform verifies the carbon emission factor data provided by platform users through on-site sampling verification and model calculation random testing. The verified carbon emission factor data will be saved according to the product multi-level classification code and process, region, and effective time dimensions to build a blockchain-based carbon emission factor database.

[0044] The specific process of verification is as follows:

[0045] S301. Obtain the calculation parameter list x of the carbon emission factor data factor provided by the platform user i , i = 1, ..., s, random sampling is performed according to the preset sampling ratio sample_ratio (for example, 5%), and a sampling calculation parameter list y is generated i , i=1,…,t.

[0046] S302, the platform user provides a list of extraction and calculation parameters y i The platform obtains the list of extraction and calculation parameters y from the production site i If the numerical data in the comparison and verification cannot pass the accounting parameter value standard, the carbon emission factor data provided by the platform user will be rejected;

[0047] S303, the platform randomly modifies and extracts the calculation parameter list y i The verified data is used in the calculation of the carbon emission factor by the platform user according to the revised accounting parameter data. The platform user uses its own carbon emission factor accounting model to calculate the carbon emission factor and compares and verifies it with the calculation result of the verification model of the blockchain platform. If the verification fails, the platform user will refuse to accept the carbon emission factor data provided by the platform user.

[0048] S304. The platform calculates the deviation rate (data accuracy) of the carbon emission factor data provided by platform users based on the on-site sampling verification data and model accounting random test data.

[0049] S305. Save the verified carbon emission factor data according to the multi-level classification code of products and the dimensions of process, region, and effective time, and construct Figure 2 The blockchain-based carbon emission factor database shown in Figure 1. Specifically, product classification includes product category product_type1, product category product_type2, and product category product_type3; the geographical dimension includes national, provincial, municipal, and district / county information; and the effective time dimension includes effective start time and effective end time.

[0050] In the blockchain-based carbon emission factor database, each piece of carbon emission factor data includes the trusted identity mark of the data provider, the data provision time, the trusted identity mark of the verifier and the verification time to confirm the data ownership of the data provider. The carbon emission factor data can be checked and traced on the blockchain later.

[0051] S4. The blockchain platform obtains requests from platform users to use carbon emission factor data, and queries the blockchain-based carbon emission factor database according to the principle of optimal matching based on product classification, process, region and effective time. The matching carbon emission factor data will be granted to the platform user who initiated the use request for a fee, and the corresponding authorization information will be recorded.

[0052] The platform user's request for carbon emission factor data includes a list of materials and energy quantities p i , i=1,…,n and pay fee amount.

[0053] The optimal matching principle is the fine-grained priority principle, which gives priority to carbon emission factor data with small product classification, small geographical dimension, small data deviation rate, process matching, and effective time matching.

[0054] S5. According to the authorization information, the contribution rate of each carbon emission factor data in the blockchain-based carbon emission factor database is calculated, and according to the contribution rate, the paid profit of the platform user for using the carbon emission factor data is sent to the digital wallet user_wallet of the platform user who provided the corresponding carbon emission factor data through the smart contract.

[0055] The calculation method of paid profit sharing is as follows:

[0056]

[0057] profit i =amount*contribution_ratio i

[0058] Where n represents the number of elements in the material and energy list, p i represents the quantity of the i-th material and energy, factor i represents the carbon emission factor of the i-th material and energy, contribution_ratio i represents the contribution rate of the i-th material and energy, profit i Represents the payment share of the i-th material and energy.

[0059] If the above method is implemented in the form of a software functional unit and sold or used as an independent product, it 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 method 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 and other media that can store program codes.

[0060] The above description of the embodiments is to facilitate the understanding and use of the invention by those skilled in the art. It is obvious that those skilled in the art can easily make various modifications to these embodiments and apply the general principles described herein to other embodiments without creative work. Therefore, the present invention is not limited to the above embodiments, and improvements and modifications made by those skilled in the art based on the disclosure of the present invention without departing from the scope of the present invention should be within the scope of protection of the present invention.

Claims

1. A multi-party co-construction method for a carbon emission factor database based on blockchain, characterized in that: The following steps are involved: Building a blockchain platform, where platform users access the blockchain platform based on a unique trusted identity token, and each trusted identity token corresponds to a digital wallet; The blockchain platform receives product carbon emission factor data provided by platform users, verifies it by on-site sampling verification and model calculation random testing, saves the verified carbon emission factor data according to the product multi-level classification code and process, region, and effective time dimensions, and builds a blockchain-based carbon emission factor database; The blockchain platform obtains a request from a platform user to use carbon emission factor data, queries the blockchain-based carbon emission factor database according to the best matching principle, grants the matching carbon emission factor data to the platform user who initiated the use request for a fee, and records the corresponding authorization information; According to the authorization information, the contribution rate of each carbon emission factor data in the blockchain-based carbon emission factor database is calculated, and according to the contribution rate, the paid profit of the platform user for using the carbon emission factor data is sent to the digital wallet of the platform user who provides the corresponding carbon emission factor data through a smart contract.

2. According to the method for multi-party co-construction of a carbon emission factor database based on blockchain according to claim 1, it is characterized in that: The trusted identity token includes an identity code and a key pair.

3. According to the method for multi-party co-construction of a carbon emission factor database based on blockchain in claim 1, it is characterized in that: The blockchain platform verifies the carbon emission factor data provided by platform users by using on-site sampling verification and model calculation random testing. The specific process is as follows: Obtain the calculation parameter list of carbon emission factor data provided by the platform users. The platform randomly selects according to the preset sampling ratio and generates the sampling calculation parameter list y i ; The platform user provides the extraction calculation parameter list y i The platform obtains the extraction and calculation parameter list y from the production site i If the numerical data in the comparison and verification cannot pass the accounting parameter value standard, the carbon emission factor data provided by the platform user will be rejected; The platform randomly modifies the extraction calculation parameter list y i The verified value data, based on the revised accounting parameter value data, the platform user uses its own carbon emission factor accounting model to calculate the carbon emission factor, and compares and verifies it with the calculation result of the verification model of the blockchain platform. If the verification fails, the carbon emission factor data provided by the platform user will be rejected; The platform calculates the deviation rate of carbon emission factor data provided by platform users based on on-site sampling verification data and model accounting random test data.

4. According to the method for co-constructing a carbon emission factor database based on blockchain according to claim 1, it is characterized in that: Product classification includes the first category, the second category and the third category with gradually narrowing scope.

5. According to the method for multi-party co-construction of a carbon emission factor database based on blockchain in claim 1, it is characterized in that: The regional dimension includes national, provincial, municipal, and county information.

6. According to claim 1, a method for co-constructing a carbon emission factor database based on blockchain by multiple parties, characterized in that: The effective time dimension includes the effective start time and the effective end time.

7. According to claim 1, a method for co-constructing a carbon emission factor database based on blockchain, characterized in that: In the blockchain-based carbon emission factor database, each piece of carbon emission factor data includes the trusted identity mark of the data provider, the data provision time, the trusted identity mark of the verifier and the verification time.

8. According to claim 1, a method for co-constructing a carbon emission factor database based on blockchain by multiple parties, characterized in that: The optimal matching principle is the fine-grained priority principle, which gives priority to carbon emission factor data with small product classification, small geographical dimension, small data deviation rate, process matching, and effective time matching.

9. According to claim 1, a method for co-constructing a carbon emission factor database based on blockchain by multiple parties, characterized in that: The platform user's request for carbon emission factor data includes a list of material and energy quantities p i , pay the fee amount.

10. According to claim 9, a method for co-constructing a carbon emission factor database based on blockchain by multiple parties, characterized in that: The calculation method of paid profit sharing is as follows: profit i =amount*contribution_ratio i Where n represents the number of elements in the material and energy list, p i represents the quantity of the i-th material and energy, factor i represents the carbon emission factor of the i-th material and energy, contribution_ratio i represents the contribution rate of the i-th material and energy, profit i Represents the payment share of the i-th material and energy.

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