Distribution line carbon footprint data credible traceability method and equipment based on block chain

Abstract

The invention relates to a distribution line carbon footprint data credible traceability method and equipment based on a block chain, and the method is applied to the block chain, and comprises the following steps: obtaining system boundary, function unit, carbon emission factor and carbon emission calculation formula information of each stage of a distribution line life cycle for distribution line carbon footprint accounting; constructing a carbon footprint accounting model, and storing the carbon footprint accounting model to a block chain; each participant in the life cycle of the distribution line submits local carbon footprint data to the block chain, and a distribution line carbon footprint calculation result is obtained by using the carbon footprint accounting model; carrying out Hash encryption on the carbon footprint data and writing the carbon footprint data into a block chain to realize encrypted evidence storage; and in response to a carbon footprint data query request, querying and returning a carbon footprint data query result to realize carbon footprint data tracing. According to the method, the accuracy of a distribution line carbon footprint calculation result and the safety of distribution line data can be improved, and the full-life-cycle traceability of the distribution line carbon footprint data is realized.

Description

Technical Field

[0001] The present invention relates to the field of blockchain and the technical field of carbon footprint of distribution lines, and in particular to a trusted traceability method and device for carbon footprint data of distribution lines based on blockchain. Background Art

[0002] Carbon footprint refers to the amount of carbon dioxide emissions associated with the activities of an entity such as an individual, building, company or country. It includes direct emissions, such as emissions from burning fossil fuels, as well as emissions from production activities required to consume goods and services. In addition, carbon footprint also includes emissions of other greenhouse gases, such as methane, nitrous oxide and chlorofluorocarbons. The concept of carbon footprint originated from the concept of ecological footprint, which was invented by Canadian ecologist William Rees and Swiss regional planner Mathis Wackernagel in the early 1990s. Ecological footprint refers to the total land area required to maintain an activity or population, including the impact on the environment such as water use and land used for food production. In contrast, carbon footprint is usually expressed in weight units, such as tons of carbon dioxide per year or carbon dioxide equivalent. Compared with traditional carbon emission measurement methods, carbon footprint can more vividly and scientifically reflect the impact of carbon emissions from energy activities in human production and life on climate change.

[0003] As the global climate change problem becomes increasingly serious, countries have successively proposed carbon neutrality goals. As one of the main sources of greenhouse gas emissions, the power industry has become a key area for emission reduction. As a core component of the power system, the construction and operation of distribution lines will generate a large amount of carbon emissions. Improving the carbon footprint evaluation method for distribution lines is an important strategy to promote the green transformation and sustainable development of the power industry and accelerate the realization of carbon peak and carbon neutrality goals.

[0004] The carbon footprint accounting of distribution lines involves multiple links and multiple entities. The carbon footprint data of each link lacks transparency, and it is difficult for each entity to obtain carbon emission data conveniently and accurately, which hinders the scientific accounting and effective supervision of carbon emissions. In addition, the distribution line data contains a large amount of production and operation information, and its privacy and security are crucial. In summary, how to achieve reliable traceability of carbon footprint for distribution lines is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide a blockchain-based distribution line carbon footprint data trusted traceability method and equipment, so as to achieve full trusted traceability of the carbon footprint data of the distribution line life cycle.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] One aspect of the present invention provides a trusted traceability method for carbon footprint data of power distribution lines based on blockchain, which is applied to blockchain. The trusted traceability method for carbon footprint data of power distribution lines includes the following steps:

[0008] Step S1, obtaining the system boundary, functional unit, carbon emission factor and carbon emission calculation formula information for each stage of the distribution line life cycle for the carbon footprint accounting of the distribution line, building a carbon footprint accounting model, and saving it to the blockchain;

[0009] Step S2, each participant in the life cycle of the distribution line submits local carbon footprint data to the blockchain, and uses the carbon footprint calculation model to obtain the calculation result of the distribution line carbon footprint;

[0010] Step S3, hashing and encrypting the carbon footprint data and writing it into the blockchain to achieve encrypted evidence storage;

[0011] Step S4, in response to the carbon footprint data query request, query and return the carbon footprint data query result to achieve carbon footprint data traceability.

[0012] As a preferred technical solution, in step S1, the system boundary includes the raw material acquisition stage, the production stage, the construction and transportation stage, the operation stage and the disposal stage, the functional unit is x kilometers, where x is a preset value, and the carbon emission factor library includes carbon emission factor data corresponding to the life cycle activities of the distribution line.

[0013] As a preferred technical solution, in step S1, the carbon footprint calculation model is constructed as follows:

[0014] E LC =E M +E P +E CT +E O +E D

[0015] Among them, E LC represents the life cycle carbon emissions of the distribution line, E M 、E P 、E CT 、E O 、E D They respectively represent the carbon emissions generated in the raw material acquisition stage, production stage, construction and transportation stage, operation stage, and disposal stage.

[0016] As a preferred technical solution, the carbon emissions during the construction and transportation phases are calculated using the following formula:

[0017]

[0018] in, represents the consumption of the i-th material in the construction phase, EF i C represents the carbon emission factor corresponding to the i-th material activity, represents the transportation volume of the jth material, D j T represents the transportation distance of the jth material, EF j T represents the carbon emission factor corresponding to the transportation of the jth material.

[0019] As a preferred technical solution, the carbon emissions during the operation phase are calculated using the following formula:

[0020]

[0021] Among them, AD L Indicates the network loss generated during the power distribution process, EF L represents the annual average carbon emission factor of the power grid in the area where the distribution line is located, Indicates CO 2 of global warming potential.

[0022] As a preferred technical solution, the carbon emissions in the waste stage are calculated using the following formula:

[0023]

[0024] in, represents the amount of recycling of the i-th material, EF i M,P Indicates the carbon emission factor corresponding to the initial acquisition of the material, EF i M,S Indicates the carbon emission factor corresponding to the recycling and regeneration of this material.

[0025] As a preferred technical solution, the carbon footprint data includes:

[0026] Raw materials acquisition stage: energy mining, raw materials production, intermediate materials and auxiliary materials production, parts processing, packaging materials production process data, as well as the transportation volume, transportation distance, vehicle type, fuel type, and fuel consumption of raw materials and energy;

[0027] Production stage: consumption of raw materials, parts, fuel, and electricity;

[0028] Construction and transportation phase: the type and amount of fuel consumed during assembly, construction, and transportation, as well as the type of vehicle, transportation distance, and transportation weight;

[0029] Operation phase: power loss and service life of distribution lines;

[0030] Waste stage: types of recycled materials, recycling rates and volumes.

[0031] As a preferred technical solution, in step S3, the process of implementing encrypted evidence storage includes the following steps:

[0032] Step S301, create a structure including carbon footprint data parameters, pass the parameters to the smart contract, and determine whether the passed parameters are correct. When the passed data parameters are normal, the carbon footprint data is hashed and encrypted, and the hash value is rewritten into the state type. The encrypted carbon footprint data is serialized and written into the blockchain to achieve encrypted evidence storage.

[0033] Another aspect of the present invention provides an electronic device, comprising: one or more processors and a memory, wherein the memory stores one or more programs, and the one or more programs include instructions for executing the aforementioned blockchain-based distribution line carbon footprint data trusted traceability method.

[0034] Another aspect of the present invention provides a computer-readable storage medium, comprising one or more programs for execution by one or more processors of an electronic device, wherein the one or more programs include instructions for executing the aforementioned blockchain-based distribution line carbon footprint data trusted traceability method.

[0035] Compared with the prior art, the present invention has at least one of the following beneficial effects:

[0036] (1) Improving the security of carbon footprint data of distribution lines: Based on blockchain, the present invention stores key data of the entire life cycle of distribution lines, including the raw material acquisition stage, production stage, construction and transportation stage, operation stage, and abandonment stage, on the chain to ensure that the carbon footprint data cannot be tampered with. It guarantees the authenticity and reliability of the data from a technical level and improves the security of carbon footprint data of distribution lines.

[0037] (2) Realize the full and reliable traceability of the carbon footprint data of the distribution line life cycle: Blockchain technology allows multi-point query of carbon footprint data, with high data transparency, and realizes the traceability of the carbon footprint data of the distribution line throughout its life cycle.

[0038] (2) Accurate carbon footprint calculation results: The present invention provides a specific method for calculating the life cycle carbon footprint of a distribution line. Compared with the general method for calculating the carbon footprint of a product, the present invention helps to improve the accuracy of the calculation results of the carbon footprint of a distribution line. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A schematic diagram of a flow chart of a trusted traceability method for carbon footprint data of power distribution lines based on blockchain in an embodiment;

[0040] Figure 2 It is a flow chart of the life cycle of a distribution line in an embodiment. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0042] Example 1

[0043] In view of the problems existing in the above-mentioned prior art, this embodiment provides a trusted traceability method for carbon footprint data of distribution lines based on blockchain, which is applied to blockchain. Blockchain is a shared, tamper-proof ledger with the characteristics of decentralization, transparency and trustworthiness. This embodiment uses blockchain technology to perform trusted accounting, evidence storage and query of carbon emission data in the life cycle of distribution lines, which helps to analyze and track the carbon footprint of distribution lines in a transparent, accurate and efficient manner.

[0044] See also Figure 1 , the method comprises the following steps:

[0045] Step S1, carbon footprint accounting model preset: define the system boundary, functional unit, carbon emission factor library, and carbon emission calculation formula for each stage of the life cycle for the carbon footprint accounting of the distribution line, and save them to the blockchain.

[0046] The system boundaries, functional units, carbon emission factor library, and carbon emission calculation formulas for each stage of the life cycle for carbon footprint accounting of distribution lines are preset and saved to the blockchain.

[0047] (1) System boundary.

[0048] See also Figure 2 ,The system boundaries for carbon footprint accounting of distribution lines are defined to include the ,raw material acquisition stage, production stage, construction and transportation stage, ,operation stage, and disposal stage.

[0049] (2) Functional unit.

[0050] The functional unit for carbon footprint calculation of distribution lines is set to 1km.

[0051] (3) Carbon emission factor library.

[0052] The carbon emission factor library should store carbon emission factor data corresponding to each activity in the life cycle of the distribution line, which is used to quantify the carbon emissions or removals per unit activity.

[0053] (4) Calculation of carbon emissions.

[0054] The calculation formula for carbon emissions at each stage of the distribution line life cycle is shown in (1).

[0055] E LC =E M +E P +E CT +E O +E D (1)

[0056] Among them, E LC represents the life cycle carbon emissions of the distribution line, E M 、E P 、E CT 、E O 、E D They respectively represent the carbon emissions generated in the raw material acquisition stage, production stage, construction and transportation stage, operation stage, and disposal stage.

[0057] a. Raw material acquisition stage.

[0058] The activities involved in this stage are energy production and the acquisition, processing and transportation of raw materials. Assuming that this stage involves n kinds of raw materials and m kinds of raw materials need to be transported, the carbon emission calculation formula for this stage is shown in (2).

[0059]

[0060] in, represents the consumption of the i-th raw material in this stage, EF i M Represents the carbon emission factor corresponding to the acquisition of the i-th raw material. represents the transportation volume of the jth raw material, represents the transportation distance of the jth raw material, EF j M represents the carbon emission factor corresponding to the transportation of the jth raw material.

[0061] b. Production stage.

[0062] The activities involved in this stage are the production of distribution lines and their components. The carbon emission calculation formula for this stage is shown in (3).

[0063]

[0064] in, represents the consumption of the i-th material in this stage, EF i P Represents the carbon emission factor corresponding to the production activity of this material.

[0065] c. Construction and transportation phase.

[0066] The activities involved in this phase are the assembly and construction of distribution lines, as well as the transportation of various materials and components.

[0067] The carbon emission calculation formula for this stage is shown in (4).

[0068]

[0069] in, represents the consumption of the i-th material in the construction phase, EF i C represents the carbon emission factor corresponding to the ith material activity. represents the transportation volume of the jth material, represents the transportation distance of the jth material, EF j T represents the carbon emission factor corresponding to the transportation of the jth material.

[0070] d. Operation phase.

[0071] For distribution lines, the operation phase mainly considers carbon emissions caused by network losses. The carbon emission calculation formula for this phase is shown in (5).

[0072]

[0073] Among them, AD L Indicates the network loss generated during the power distribution process, EF L represents the annual average carbon emission factor of the power grid in the area where the distribution line is located, Indicates CO 2 The global warming potential of

[0074] e. Abandonment stage.

[0075] For distribution lines, the carbon emissions from material recycling and removal are mainly considered during the abandonment stage. The carbon emission calculation formula for this stage is shown in (6).

[0076]

[0077] in, represents the amount of recycling of the i-th material, EF i M,P Indicates the carbon emission factor corresponding to the initial acquisition of the material, EF i M,S Indicates the carbon emission factor corresponding to the recycling and regeneration of this material.

[0078] Step S2, carbon footprint data collection and calculation: The life cycle of distribution lines involves multiple parties such as raw material suppliers, parts processing plants, logistics companies, power companies, recycling companies, etc. Each participating entity submits local carbon footprint data to the blockchain and triggers carbon footprint calculation to ensure the efficiency and accuracy of data processing.

[0079] The carbon footprint data that should be collected at each stage of the distribution line life cycle are as follows:

[0080] (1) Raw material acquisition stage: process data such as energy extraction, raw material production, intermediate material and auxiliary material production, parts processing, and packaging material production; transportation volume, transportation distance, vehicle type, fuel type, and fuel consumption of raw materials and energy.

[0081] (2) Production stage: consumption of raw materials, parts and components, and consumption of energy such as fuel and electricity.

[0082] (3) Construction and transportation phase: the types and amounts of fuel consumed during assembly, construction, and transportation, the types of vehicles, transportation distance, and transportation weight.

[0083] (4) Operation phase: power loss and service life of distribution lines.

[0084] (5) Waste stage: types of recycled materials, recycling rate, and recycling volume.

[0085] Each process data provider acts as a blockchain participant, and carbon footprint data collection is implemented through the SubmitData function, which reads the data in the local Excel file, serializes the data into JSON format, and calls the chain code to submit it to the blockchain, while triggering the carbon footprint calculation and obtaining the carbon footprint calculation result based on the carbon footprint accounting model.

[0086] Step S3, carbon footprint data is uploaded to the chain for evidence storage: The carbon footprint data is uploaded to the chain through the cfData and cfDataCrypto functions. The former is used for data content evidence storage, and the latter is used for data encryption evidence storage.

[0087] The carbon footprint data chain function is implemented through the cfData and cfDataCrypto functions. The former is used for data content storage, and the latter is used for data encryption storage. Carbon footprint data is created based on the input parameters and written into the ledger.

[0088] (1) cfData algorithm: First, create the Cf structure, pass parameters to the smart contract, and verify the correctness of the passed parameters. If the passed parameters are normal, the smart contract rewrites the Response structure, serializes the Cf structure variables into JSON, and writes the carbon footprint data into the blockchain.

[0089] (2) cfDataCrypto algorithm: Create a CfCrypto structure, pass parameters to the smart contract, and verify the correctness of the passed parameters. If the passed parameters are normal, the carbon footprint data is hashed and encrypted, and the hash value is rewritten into the state type. The encrypted carbon footprint data is serialized into JSON and written into the blockchain.

[0090] Step S4, carbon footprint data query: The carbon footprint data query function is implemented through the queryCf function, which queries and returns the carbon footprint data according to the carbon footprint data feature information to ensure the accuracy and traceability of the data.

[0091] The carbon footprint data query function is implemented through the queryCf function. According to the carbon footprint data feature information requested by the user, the query result of the carbon footprint data is queried in the blockchain account book and returned.

[0092] queryCf algorithm: passes carbon footprint data feature information to the smart contract, verifies the format of passed parameters, queries the carbon footprint data content, and returns the query results.

[0093] The blockchain has a chain data structure. If the data in the block is forcibly modified, the data before and after the block will change. This data structure ensures that the data on the chain cannot be tampered with. Based on blockchain technology, the carbon footprint data of the distribution line life cycle can be fully traced, thereby ensuring the authenticity of the carbon footprint data, helping to objectively evaluate the impact of distribution lines on the environment, promote the transformation of the power industry to low-carbon and green, and promote upstream and downstream industries to carry out carbon footprint accounting and carbon emission reduction.

[0094] This embodiment provides a specific calculation method for the life cycle carbon footprint of distribution lines, which helps to improve the accuracy of the calculation results of the carbon footprint of distribution lines compared with the general method of product carbon footprint accounting. In addition, this method relies on blockchain to store key data of the entire life cycle of distribution lines, including the raw material acquisition stage, production stage, construction and transportation stage, operation stage, and abandonment stage, to ensure that the carbon footprint data cannot be tampered with, and technically guarantees the authenticity and reliability of the data, thereby improving the security of the carbon footprint data of distribution lines; blockchain technology allows multi-point query of carbon footprint data, with high data transparency, and realizes the traceability of the entire life cycle of distribution line carbon footprint data.

[0095] Example 2

[0096] This embodiment provides an electronic device, including: one or more processors and a memory, wherein the memory stores one or more programs, and the one or more programs include instructions for executing the blockchain-based trusted traceability method for distribution line carbon footprint data as described in Example 1.

[0097] Example 3

[0098] This embodiment provides a computer-readable storage medium, including one or more programs for execution by one or more processors of an electronic device, wherein the one or more programs include instructions for executing the blockchain-based trusted traceability method for distribution line carbon footprint data as described in Example 1.

[0099] Through the trusted traceability technology of carbon footprint data of distribution lines based on blockchain provided by the present invention, the carbon footprint data of the distribution lines throughout their life cycle can be uploaded to the chain. The carbon footprint data of the distribution lines is distributed and stored in each node of the blockchain, which is traceable throughout the process, effectively maintaining data security and ensuring the authenticity and credibility of the carbon footprint data of the distribution lines.

[0100] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A trusted traceability method for carbon footprint data of power distribution lines based on blockchain, characterized in that: Applied to blockchain, the method for credible traceability of carbon footprint data of power distribution lines includes the following steps: Step S1, obtaining the system boundary, functional unit, carbon emission factor and carbon emission calculation formula information for each stage of the distribution line life cycle for the carbon footprint accounting of the distribution line, building a carbon footprint accounting model, and saving it to the blockchain; Step S2, each participant in the life cycle of the distribution line submits local carbon footprint data to the blockchain, and uses the carbon footprint calculation model to obtain the calculation result of the distribution line carbon footprint; Step S3, hashing and encrypting the carbon footprint data and writing it into the blockchain to achieve encrypted evidence storage; Step S4, in response to the carbon footprint data query request, query and return the carbon footprint data query result to achieve carbon footprint data traceability.

2. According to a blockchain-based distribution line carbon footprint data trusted traceability method according to claim 1, it is characterized in that: In step S1, the system boundary includes the raw material acquisition stage, the production stage, the construction and transportation stage, the operation stage and the disposal stage. The functional unit is x kilometers, where x is a preset value. The carbon emission factor library includes carbon emission factor data corresponding to the life cycle activities of the distribution line.

3. According to a blockchain-based distribution line carbon footprint data trusted traceability method according to claim 1, it is characterized in that: In step S1, the carbon footprint calculation model is constructed as follows: AND LC =And M +E P +E CT +E O +E D Among them, E LC represents the life cycle carbon emissions of the distribution line, E M 、E P 、E CT 、E O 、E D They respectively represent the carbon emissions generated in the raw material acquisition stage, production stage, construction and transportation stage, operation stage, and disposal stage.

4. According to claim 3, a blockchain-based distribution line carbon footprint data trusted traceability method is characterized in that: The carbon emissions during the construction and transportation phases are calculated using the following formula: in, represents the consumption of the i-th material in the construction phase, represents the carbon emission factor corresponding to the i-th material activity, represents the transportation volume of the jth material, represents the transportation distance of the jth material, represents the carbon emission factor corresponding to the transportation of the jth material.

5. According to claim 3, a blockchain-based distribution line carbon footprint data trusted traceability method is characterized in that: The carbon emissions during the operation phase are calculated using the following formula: Among them, AD L Indicates the network loss generated during the power distribution process, EF L represents the annual average carbon emission factor of the power grid in the area where the distribution line is located, Indicates the global warming potential of CO2.

6. According to a blockchain-based distribution line carbon footprint data trusted traceability method according to claim 3, it is characterized in that: The carbon emissions during the disposal phase are calculated using the following formula: in, represents the amount of recycled material of type i, Indicates the carbon emission factor corresponding to the initial acquisition of the material, Indicates the carbon emission factor corresponding to the recycling and regeneration of this material.

7. According to a blockchain-based distribution line carbon footprint data trusted traceability method according to claim 1, it is characterized in that: The carbon footprint data include: Raw materials acquisition stage: energy mining, raw materials production, intermediate materials and auxiliary materials production, parts processing, packaging materials production process data, as well as the transportation volume, transportation distance, vehicle type, fuel type, and fuel consumption of raw materials and energy; Production stage: consumption of raw materials, parts, fuel, and electricity; Construction and transportation phase: the type and amount of fuel consumed during assembly, construction, and transportation, as well as the type of vehicle, transportation distance, and transportation weight; Operation phase: power loss and service life of distribution lines; Waste stage: types of recycled materials, recycling rates and volumes.

8. According to a blockchain-based distribution line carbon footprint data trusted traceability method according to claim 1, it is characterized in that: In step S3, the process of implementing encrypted evidence storage includes the following steps: Step S301, create a structure including carbon footprint data parameters, pass the parameters to the smart contract, and determine whether the passed parameters are correct. When the passed parameters are normal, the carbon footprint data is hashed and encrypted, and the hash value is rewritten into the state type. The encrypted carbon footprint data is serialized and written into the blockchain to achieve encrypted evidence storage.

9. An electronic device, characterized in that: include: One or more processors and a memory, wherein the memory stores one or more programs, and the one or more programs include instructions for executing the blockchain-based distribution line carbon footprint data trusted traceability method as described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that: It includes one or more programs for execution by one or more processors of an electronic device, and the one or more programs include instructions for executing the blockchain-based trusted traceability method for carbon footprint data of distribution lines as described in any one of claims 1-8.

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