New energy automobile carbon emission monitoring method and system based on block chain, and medium

Abstract

The invention discloses a new energy automobile carbon emission monitoring method and system based on a block chain, and a medium, mainly relates to the technical field of block chains, and is used for solving the problems of data islands, low data credibility and analysis decision lagging in an existing scheme. Comprising the following steps: comparing whether raw material supplier codes uploaded by the same supplier code collector are consistent or not in real time through a preset monitoring node on a block chain; if not, the material weight, the material carbon emission factor and the process energy consumption are updated through a material weight collector, a material carbon emission factor collector and an energy consumption collector, and then the carbon emission value of the production link is updated; acquiring preset conclusion data corresponding to the current carbon emission value, and inputting the corresponding preset conclusion data in a preset time period into a preset semantic interpretation algorithm to obtain a data analysis report; and displaying the carbon emission value and the data analysis report of the production link through a preset front-end display node on the block chain.

Description

Technical Field

[0001] The present application relates to the field of blockchain technology, and in particular to a blockchain-based new energy vehicle carbon emission monitoring method, system, and medium. Background Art

[0002] The current industry has significant technical deficiencies in carbon footprint accounting and management: Existing carbon accounting systems often use a centralized database architecture, resulting in data from various supply chain links (raw material procurement, parts processing, and vehicle assembly) being stored in separate enterprise systems. This leads to delayed data sharing and inefficient cross-organizational data collaboration. A survey of a leading automotive company revealed that data silos contribute to a high rate of carbon accounting errors.

[0003] Key data such as supplier codes and material weights rely on manual entry or single-point collection, which poses a risk of tampering. The 2022 incident of a battery supplier falsifying carbon emissions data demonstrates that traditional centralized systems struggle to guarantee data authenticity, exposing companies to compliance audit risks.

[0004] Existing carbon data analysis relies on manual report generation, and the cycle from data collection to forming optimization suggestions is as long as 2-3 weeks, which is difficult to meet the needs of rapid iteration of intelligent manufacturing.

[0005] Therefore, there is an urgent need for a blockchain-based new energy vehicle carbon emission monitoring method, system and medium to solve the above technical problems. Summary of the Invention

[0006] This application provides a blockchain-based new energy vehicle carbon emission monitoring method, system, and medium to address the problems of data silos, low data credibility, and delayed analysis and decision-making in existing solutions.

[0007] In the first aspect, this application provides a blockchain-based new energy vehicle carbon emission monitoring method, the method comprising: The information collectors in the new energy vehicle production process are configured as nodes on the blockchain; the information collectors include at least a supplier code collector, a material weight collector, a material carbon emission factor collector, and an energy consumption collector; Use the preset monitoring nodes on the blockchain to compare in real time whether the raw material supplier codes uploaded by the same supplier code collector are consistent; When there is inconsistency, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, thereby updating the carbon emission value of the production link; the preset conclusion data corresponding to the current carbon emission value is obtained, and the corresponding preset conclusion data within the preset time period is input into the preset semantic interpretation algorithm to obtain a data analysis report; The carbon emission values ​​and data analysis reports of the production process are displayed through the preset front-end display nodes on the blockchain.

[0008] In one implementation of this application, the information collector of the new energy vehicle production process is configured as a node on the blockchain, specifically including: Get the collector information uploaded by the information collector; Obtain the collector type from the collector information, broadcast the collector information as verification information to nodes of the same collector type, and obtain the returned response information; When there are a preset number of response messages indicating that the information is correct, the information collector is configured as a node on the blockchain.

[0009] In one implementation of the present application, the material weight, material carbon emission factor, and process energy consumption are updated through a material weight collector, a material carbon emission factor collector, and an energy consumption collector, thereby updating the carbon emission value of the production process, specifically including: Carbon emission formula through production process: , update the carbon emission value E of the production process; in, m material is the material weight, E f is the material carbon emission factor, E p is the process energy consumption, E ef Preset grid emission factors for regions.

[0010] In one implementation of the present application, when there is inconsistency, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, specifically including: When there is inconsistency, the status of the material weight collector, the material carbon emission factor collector, and the energy consumption collector are switched to an online state; When the material weight, material carbon emission factor, and process energy consumption are received, the states of the material weight collector, the material carbon emission factor collector, and the energy consumption collector are switched to a dormant state.

[0011] In one implementation of the present application, after updating the carbon emission value of the production process, the method further includes: Broadcast the carbon emission value to the preset carbon emission value demand node; When verification information is received from the preset carbon emission value demand node, the material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and the carbon emission formula of the production link are sent to the corresponding preset carbon emission value demand node; When the preset carbon emission value demand node feedback material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor or carbon emission formula of the production process does not meet the preset standard rules, rule verification information containing the preset standard rules, material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and carbon emission formula is generated; Broadcast the rule verification information to all preset carbon emission value demand nodes. When the preset audited number of preset carbon emission value demand nodes feedback the approval information, determine whether the carbon emission formula does not meet the preset standard rules; When it is a carbon emission formula, obtain the carbon emission formula again and update the carbon emission value on the blockchain; When it is not a carbon emission formula, the corresponding information collector is awakened to use the corresponding data again.

[0012] Secondly, this application provides a blockchain-based new energy vehicle carbon emission monitoring system, which includes: A configuration module is used to configure information collectors in the new energy vehicle production process as nodes on the blockchain; the information collectors include at least a supplier code collector, a material weight collector, a material carbon emission factor collector, and an energy consumption collector; The acquisition module is used to compare the raw material supplier codes uploaded by the same supplier code collector in real time through the preset monitoring nodes on the blockchain to see if they are consistent; when inconsistent, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, thereby updating the carbon emission value of the production link; obtain the preset conclusion data corresponding to the current carbon emission value, and then input the corresponding preset conclusion data within the preset time period into the preset semantic interpretation algorithm to obtain a data analysis report; The display module is used to display the carbon emission values ​​and data analysis reports of the production process through the preset front-end display node on the blockchain.

[0013] In one implementation of the present application, the configuration module includes a configuration unit configured to obtain collector information uploaded by the information collector; Obtain the collector type from the collector information, broadcast the collector information as verification information to nodes of the same collector type, and obtain the returned response information; When there are a preset number of response messages indicating that the information is correct, the information collector is configured as a node on the blockchain.

[0014] In one implementation of the present application, the obtaining module includes a computing unit, Formula for carbon emissions through the production process: , update the carbon emission value E of the production process; in,m material is the material weight, E f is the material carbon emission factor, E p is the process energy consumption, E ef Preset grid emission factors for regions.

[0015] In one implementation of the present application, the system further includes a re-collection module. Used to broadcast carbon emission values ​​to preset carbon emission value demand nodes; When verification information is received from the preset carbon emission value demand node, the material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and the carbon emission formula of the production link are sent to the corresponding preset carbon emission value demand node; When the preset carbon emission value demand node feedback material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor or carbon emission formula of the production process does not meet the preset standard rules, rule verification information containing the preset standard rules, material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and carbon emission formula is generated; Broadcast the rule verification information to all preset carbon emission value demand nodes. When the preset audited number of preset carbon emission value demand nodes feedback the approval information, determine whether the carbon emission formula does not meet the preset standard rules; When it is a carbon emission formula, obtain the carbon emission formula again and update the carbon emission value on the blockchain; When it is not a carbon emission formula, the corresponding information collector is awakened to use the corresponding data again.

[0016] In a third aspect, the present application provides a non-volatile computer storage medium on which computer instructions are stored. When the computer instructions are executed, they implement a blockchain-based new energy vehicle carbon emission monitoring method as described above.

[0017] It can be seen from the above technical solutions that this application has the following advantages: Decentralized data sharing mechanism: By configuring information collectors in each link of the new energy vehicle supply chain as blockchain nodes, a distributed data storage network is built, which effectively breaks the data silos formed by traditional centralized databases and realizes the collaborative sharing of production data across enterprises and links.

[0018] Trusted data verification system: Based on the blockchain consensus mechanism, supplier codes are cross-checked in real time, and the authenticity of raw material traceability information is ensured through multi-node distributed verification. Combined with hash timestamp technology, data tampering can be traced, thereby improving the credibility and traceability of carbon footprint data.

[0019] Dynamic carbon emission monitoring capabilities: Utilize smart contracts to automatically trigger the material parameter update mechanism. When supplier changes are detected, key parameters such as material weight and emission factors are updated synchronously in real time to ensure that the carbon emission calculation model always reflects the latest production status, solving the problem of delayed parameter updates in traditional methods.

[0020] Real-time analysis and decision support: Through the preset semantic interpretation algorithm, the time series data on the blockchain is stream-calculated, combined with the production cycle intelligent segmentation technology to generate a dynamic analysis report with a time dimension, helping managers to promptly detect abnormal fluctuations in carbon footprint and take regulatory measures.

[0021] Full-process transparent supervision: A visual display interface is built based on blockchain browser technology, which stores and visualizes the carbon emission calculation process, data sources and analysis conclusions on the chain, meeting the company's internal carbon management needs while providing a reliable audit tracking path for regulatory authorities. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for the description. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 This is a flowchart of a blockchain-based new energy vehicle carbon emission monitoring method provided in an embodiment of the present application.

[0024] Figure 2 This is a schematic diagram of the internal structure of a blockchain-based new energy vehicle carbon emission monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making creative efforts are within the scope of protection of the present invention.

[0026] It should be understood by those skilled in the art that the embodiments described below are merely preferred embodiments of the present disclosure and do not imply that the present disclosure can only be implemented through these preferred embodiments. These preferred embodiments are merely intended to explain the technical principles of the present disclosure and are not intended to limit the scope of protection of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments obtained by those skilled in the art without creative effort should still fall within the scope of protection of the present disclosure.

[0027] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0028] The technical solutions proposed in the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0029] The embodiment provides a new energy vehicle carbon emission monitoring method based on blockchain, such as Figure 1 As shown, the method provided in the embodiment of the present application mainly includes the following steps: Step 110: Configure the information collector of the new energy vehicle production process as a node on the blockchain.

[0030] Among them, the information collector includes at least a supplier code collector, a material weight collector, a material carbon emission factor collector, and an energy consumption collector.

[0031] In some embodiments, the information collector of the new energy vehicle production process is configured as a node on the blockchain, specifically including: Get the collector information uploaded by the information collector; Obtain the collector type from the collector information, broadcast the collector information as verification information to nodes of the same collector type, and obtain the returned response information; When there are a preset number of response messages indicating that the information is correct, the information collector is configured as a node on the blockchain.

[0032] It will be understood by those skilled in the art that this step ensures the credibility of the data collection source by putting information collectors with different functions on the chain as independent nodes.

[0033] When a supplier code collector acts as a node, the supplier identity information collected in real time must be verified by other similar nodes on the chain. For example, when a battery material supplier code is uploaded for the first time, its business registration information must be cross-checked by three existing certified supplier nodes to prevent counterfeit supplier materials from entering the production line.

[0034] The aluminum alloy material weight data uploaded by the material weight collector node needs to be compared with the historical data fluctuation range of other weight nodes in the same production line (such as the weighing instrument in the stamping workshop). If the deviation exceeds ±5%, an early warning will be triggered.

[0035] Dynamic control of node access is achieved through typed broadcast verification to prevent malicious devices from accessing.

[0036] ‌Specific examples‌: When deploying an energy consumption logger in a newly built factory, the device ID and sensor accuracy parameters (e.g., current detection error ±0.5%) must be broadcast to a verification group of 10 existing energy consumption nodes. Only when at least six nodes return confirmation that the device parameters comply with the ISO50001 standard will the logger be allowed to connect to the blockchain.

[0037] The "battery positive electrode material carbon emission factor" data uploaded by the material carbon emission factor collector node must be verified by nodes of the same type (such as the factor calculation nodes of three different testing institutions) to see whether its calculation model complies with the "IPCC National Greenhouse Gas Inventory Guidelines" to ensure the scientific nature of the data.

[0038] Data isolation is achieved through type grouping verification, meeting the needs of hierarchical management of sensitive information.

[0039] ‌Specific examples‌: Supplier code information is only broadcast and verified within the supplier node group (for example, the group includes five core supplier nodes such as CATL and BYD) to prevent competitors from obtaining supply chain relationships through full-chain broadcasts.

[0040] When verifying energy consumption data, data is only broadcast to the energy consumption node group in the same workshop (such as the energy consumption cluster of the paint shop) to prevent the assembly workshop nodes from obtaining energy consumption details of non-related processes.

[0041] Step 120: Use the preset monitoring node on the blockchain to compare in real time whether the raw material supplier codes uploaded by the same supplier code collector are consistent; when inconsistent, update the material weight, material carbon emission factor, and process energy consumption through the material weight collector, material carbon emission factor collector, and energy consumption collector, and then update the carbon emission value of the production link; obtain the preset conclusion data corresponding to the current carbon emission value, and then input the corresponding preset conclusion data within the preset time period into the preset semantic interpretation algorithm to obtain a data analysis report.

[0042] It should be noted that when there is inconsistency, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector. Specifically, it can be: When there is inconsistency, the status of the material weight collector, the material carbon emission factor collector, and the energy consumption collector are switched to an online state; When the material weight, material carbon emission factor, and process energy consumption are received, the states of the material weight collector, the material carbon emission factor collector, and the energy consumption collector are switched to a dormant state.

[0043] It will be understood by those skilled in the art that by comparing supplier codes in real time, the source of raw materials can be traced, and a multi-dimensional data linkage update mechanism can be triggered to solve the data deviation problem caused by supplier changes.

[0044] ‌Specific examples‌: When a new energy vehicle company discovered that its supplier code had changed from “CATL-2025-001” to “CATL-2025-002,” the system automatically triggered the material weight collector to re-acquire the weight of the battery positive electrode material (for example, from 120 kg to 135 kg), and the material carbon emission factor collector simultaneously updated the carbon emission factor of the material (from 2.8 kg CO2 / kg to 3.1 kg CO2 / kg), ensuring that carbon emission calculations accurately reflected actual supply chain changes17.

[0045] When the code of an aluminum alloy supplier is abnormal (for example, the code of a supplier that has not passed ISO 14001 certification is mixed in), the system re-collects the energy consumption data of the stamping process through the energy consumption collector (for example, from 1.2kWh / piece to 1.5kWh / piece) to avoid the use of non-compliant materials that lead to falsely low carbon emissions.

[0046] Adopt online / sleep state switching strategy to achieve precise control and resource optimization of data acquisition equipment.

[0047] ‌Specific examples‌: When the supplier code comparison is abnormal, the material weight collector is activated from the sleep state and it takes only 30 seconds to complete the weighing data collection of the new batch of aluminum (with an accuracy of ±0.1kg), and then automatically switches back to the sleep state, reducing the energy consumption of the equipment.

[0048] On a certain motor production line, when the material carbon emission factor collector detects a change in the supplier code, it increases the sampling frequency from the usual 1 time / hour to 1 time / minute (online state) and automatically goes into sleep mode after obtaining 10 consecutive sets of stable carbon emission factor data to avoid the accumulation of invalid data.

[0049] Intelligent interpretation of carbon emission data is achieved based on preset semantic algorithms to improve decision support efficiency.

[0050] ‌Specific examples‌: In Q2 2025, a certain car company's carbon emissions per vehicle fluctuated (from 4.2tCO2 / vehicle to 4.5tCO2 / vehicle) due to a change in battery supplier. The system automatically generated a report through a semantic algorithm: "The impact of supply chain changes accounts for 78%. It is recommended to optimize the positive electrode material procurement channels or introduce a green electricity compensation plan."

[0051] When a production batch of a certain vehicle model triggers an early warning due to a sudden increase in process energy consumption, the system integrates data collected continuously for 24 hours to generate a visual report, pointing out the abnormal energy consumption in the drying process of the paint shop and linking it to the deviation of the paint curing temperature parameters provided by the new supplier.

[0052] Among them, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, and then the carbon emission value of the production link is updated. Specifically, it can be: Carbon emission formula through production process: , update the carbon emission value E of the production process; in, m material is the material weight, E f is the material carbon emission factor, E p is the process energy consumption, E ef Preset grid emission factors for regions.

[0053] After updating the carbon emission value of the production process, the method also includes: Broadcast the carbon emission value to the preset carbon emission value demand node; When verification information is received from the preset carbon emission value demand node, the material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and the carbon emission formula of the production link are sent to the corresponding preset carbon emission value demand node; When the preset carbon emission value demand node feedback material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor or carbon emission formula of the production process does not meet the preset standard rules, rule verification information containing the preset standard rules, material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and carbon emission formula is generated; Broadcast the rule verification information to all preset carbon emission value demand nodes. When the preset audited number of preset carbon emission value demand nodes feedback the approval information, determine whether the carbon emission formula does not meet the preset standard rules; When it is a carbon emission formula, obtain the carbon emission formula again and update the carbon emission value on the blockchain; When it is not a carbon emission formula, the corresponding information collector is awakened to use the corresponding data again.

[0054] Those skilled in the art will understand that by broadcasting carbon emission values ​​and coordinating verification with multiple nodes, a closed-loop verification system is formed to ensure the credibility of the entire data link.

[0055] ‌Specific examples‌: Battery production: A new energy vehicle company updated the carbon emissions value of battery assembly (from 15.2kgCO2 / unit to 14.8kgCO2 / unit). The system broadcast the new value to the supply chain audit node, third-party verification node, and environmental protection department node.

[0056] Audit Node: If the process energy consumption data deviates from the historical baseline by more than 5% (the energy collector displays 0.8 kWh / group, but the preset standard for the audit node is ≤0.75 kWh / group), the rule verification process is triggered.

[0057] ‌Processing Result‌: The energy consumption collector was awakened to recollect data, confirming that the error was caused by a device sensor failure. After correction, the carbon emission value was updated to 14.5kgCO2 / group.

[0058] Based on node feedback, we can distinguish between errors in carbon emission formulas and errors in basic data, and improve the efficiency of targeted repairs.

[0059] ‌Specific examples‌: Case 1 (Formula Error): The carbon emissions from a car company's paint shop were abnormal (20% higher than the industry benchmark). Verification revealed: Node Feedback: The third-party verification node pointed out that the formula did not include the energy consumption parameters for VOCs treatment of water-based paints.

[0060] ‌Processing Flow‌: The system automatically calls the latest version of the "Automotive Coating Carbon Emissions Accounting Guidelines", updates the formula and recalculates the carbon emissions value.

[0061] Case 2 (Data Error): A motor factory was delayed in updating its grid emission factor (still using 0.532 kg CO2 / kWh, while the actual regional value had been adjusted to 0.498 kg CO2 / kWh): ‌Processing flow‌: Wake up the regional power grid emission material carbon emission factor collector, automatically capture the real-time data of the power trading center, and update the carbon emission value of a single motor.

[0062] The preset standard rule base is linked with node feedback to achieve active compliance monitoring.

[0063] ‌Specific examples‌: Lightweight material verification: When a certain model uses carbon fiber materials, the system automatically verifies: Rule trigger: The material carbon emission factor (12.5kgCO2 / kg) exceeds the upper limit of the "New Material Application Specifications" (10kgCO2 / kg).

[0064] Collaborative processing: Broadcast to 5 material certification nodes, 3 of which return "the supplier did not submit the recycled carbon fiber process certificate". The system automatically freezes the purchase order for this material until the supplier supplements the certification documents.

[0065] Regional Policy Adaptation: An overseas factory experienced a sudden change in the local power grid’s emission factor (from 0.48kgCO2 / kWh to 0.63kgCO2 / kWh): System Response: Completed recalculation of energy consumption data for the entire production line within 2 hours, and generated a "Report on the Impact of Policy Changes on Carbon Emissions" to guide adjustments to production plans.

[0066] Key operations are stored on the chain to build an unalterable carbon data governance evidence chain.

[0067] ‌Specific examples‌: Audit traceability: When regulatory authorities verify the carbon emission data of a batch of vehicles, they can view: Three rule verification processes triggered by motor material changes on October 5, 2023; Cross-validation records of 12 nodes for "Compliance of Rare Earth Permanent Magnet Procurement Sources"; The carbon emission formula version number finally adopted (ISO-14064-2025V2).

[0068] Dispute Resolution: When a supplier disputes carbon emissions calculations: The blockchain records retrieved showed that the aluminum carbon emission factor it provided (8.2kgCO2 / kg) did not pass the XX node verification (the standard requirement is ≤7.5kgCO2 / kg), and the disputed data automatically became invalid.

[0069] Step 130: Display the carbon emission value and data analysis report of the production process through the preset front-end display node on the blockchain.

[0070] In addition, this application Figure 2 This application provides a blockchain-based new energy vehicle carbon emission monitoring system. Figure 2 As shown, the system provided in the embodiment of the present application mainly includes: Configuration module 210 is used to configure the information collectors of the new energy vehicle production link as nodes on the blockchain; wherein the information collectors include at least a supplier code collector, a material weight collector, a material carbon emission factor collector, and an energy consumption collector.

[0071] The configuration module 210 includes a configuration unit for obtaining collector information uploaded by the information collector; Obtain the collector type from the collector information, broadcast the collector information as verification information to nodes of the same collector type, and obtain the returned response information; When there are a preset number of response messages indicating that the information is correct, the information collector is configured as a node on the blockchain.

[0072] Acquisition module 220 is used to compare the raw material supplier codes uploaded by the same supplier code collector in real time through the preset monitoring node on the blockchain to see whether they are consistent; when inconsistent, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, and then the carbon emission value of the production link is updated; the preset conclusion data corresponding to the current carbon emission value is obtained, and then the corresponding preset conclusion data within the preset time period is input into the preset semantic interpretation algorithm to obtain a data analysis report.

[0073] The acquisition module 220 includes a calculation unit, Formula for carbon emissions through the production process: , update the carbon emission value E of the production process; in, m material is the material weight, E f is the material carbon emission factor, E p is the process energy consumption, E ef Preset grid emission factors for regions.

[0074] The system also includes a re-collection module, Used to broadcast carbon emission values ​​to preset carbon emission value demand nodes; When verification information is received from the preset carbon emission value demand node, the material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and the carbon emission formula of the production link are sent to the corresponding preset carbon emission value demand node; When the preset carbon emission value demand node feedback material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor or carbon emission formula of the production process does not meet the preset standard rules, rule verification information containing the preset standard rules, material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and carbon emission formula is generated; Broadcast the rule verification information to all preset carbon emission value demand nodes. When the preset audited number of preset carbon emission value demand nodes feedback the approval information, determine whether the carbon emission formula does not meet the preset standard rules; When it is a carbon emission formula, obtain the carbon emission formula again and update the carbon emission value on the blockchain; When it is not a carbon emission formula, the corresponding information collector is awakened to use the corresponding data again.

[0075] The display module 230 is used to display the carbon emission values ​​and data analysis reports of the production process through a preset front-end display node on the blockchain.

[0076] In addition, an embodiment of the present application also provides a non-volatile computer storage medium on which executable instructions are stored. When the executable instructions are executed, a blockchain-based new energy vehicle carbon emission monitoring method as described above is implemented.

[0077] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A new energy vehicle carbon emission monitoring method based on blockchain, characterized in that: The method comprises: The information collectors in the new energy vehicle production process are configured as nodes on the blockchain; the information collectors include at least a supplier code collector, a material weight collector, a material carbon emission factor collector, and an energy consumption collector; The preset monitoring nodes on the blockchain are used to compare the raw material supplier codes uploaded by the same supplier code collector in real time to see if they are consistent. If they are inconsistent, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, thereby updating the carbon emission value of the production process. The preset conclusion data corresponding to the current carbon emission value is obtained, and the corresponding preset conclusion data within the preset time period is input into the preset semantic interpretation algorithm to obtain a data analysis report. The carbon emission values ​​and data analysis reports of the production process are displayed through the preset front-end display nodes on the blockchain.

2. The blockchain-based new energy vehicle carbon emission monitoring method according to claim 1 is characterized in that: The information collectors in the new energy vehicle production process are configured as nodes on the blockchain, specifically including: Get the collector information uploaded by the information collector; Obtain the collector type from the collector information, broadcast the collector information as verification information to nodes of the same collector type, and obtain the returned response information; When there are a preset number of response messages indicating that the information is correct, the information collector is configured as a node on the blockchain.

3. The method for monitoring carbon emissions of new energy vehicles based on blockchain according to claim 1, characterized in that: Through the material weight collector, material carbon emission factor collector, and energy consumption collector, the material weight, material carbon emission factor, and process energy consumption are updated, and then the carbon emission value of the production process is updated, including: Carbon emission formula through production process: , update the carbon emission value E of the production process; in, m material is the material weight, E f is the material carbon emission factor, E p is the process energy consumption, E ef Preset grid emission factors for regions.

4. The method for monitoring carbon emissions of new energy vehicles based on blockchain according to claim 1, characterized in that: When there is inconsistency, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, specifically including: When there is inconsistency, the status of the material weight collector, the material carbon emission factor collector, and the energy consumption collector are switched to an online state; When the material weight, material carbon emission factor, and process energy consumption are received, the states of the material weight collector, the material carbon emission factor collector, and the energy consumption collector are switched to a dormant state.

5. The method for monitoring carbon emissions of new energy vehicles based on blockchain according to claim 1 is characterized in that: After updating the carbon emission value of the production process, the method further includes: Broadcast the carbon emission value to the preset carbon emission value demand node; When verification information is received from the preset carbon emission value demand node, the material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and the carbon emission formula of the production link are sent to the corresponding preset carbon emission value demand node; When the preset carbon emission value demand node feedback material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor or carbon emission formula of the production process does not meet the preset standard rules, rule verification information containing the preset standard rules, material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and carbon emission formula is generated; Broadcast the rule verification information to all preset carbon emission value demand nodes. When the preset audited number of preset carbon emission value demand nodes feedback the approval information, determine whether the carbon emission formula does not meet the preset standard rules; When it is a carbon emission formula, obtain the carbon emission formula again and update the carbon emission value on the blockchain; When it is not a carbon emission formula, the corresponding information collector is awakened to use the corresponding data again.

6. A blockchain-based new energy vehicle carbon emission monitoring system, characterized in that: The system comprises: A configuration module is used to configure information collectors in the new energy vehicle production process as nodes on the blockchain; the information collectors include at least a supplier code collector, a material weight collector, a material carbon emission factor collector, and an energy consumption collector; The acquisition module is used to compare the raw material supplier codes uploaded by the same supplier code collector in real time through the preset monitoring nodes on the blockchain to see if they are consistent; when inconsistent, the material weight, material carbon emission factor, and process energy consumption are updated through the material weight collector, material carbon emission factor collector, and energy consumption collector, thereby updating the carbon emission value of the production link; obtain the preset conclusion data corresponding to the current carbon emission value, and then input the corresponding preset conclusion data within the preset time period into the preset semantic interpretation algorithm to obtain a data analysis report; The display module is used to display the carbon emission values ​​and data analysis reports of the production process through the preset front-end display node on the blockchain.

7. The blockchain-based new energy vehicle carbon emission monitoring system according to claim 6 is characterized in that: The configuration module includes a configuration unit for obtaining collector information uploaded by the information collector; Obtain the collector type from the collector information, broadcast the collector information as verification information to nodes of the same collector type, and obtain the returned response information; When there are a preset number of response messages indicating that the information is correct, the information collector is configured as a node on the blockchain.

8. The blockchain-based new energy vehicle carbon emission monitoring system according to claim 6 is characterized in that: The acquisition module includes a calculation unit, Formula for carbon emissions through the production process: , update the carbon emission value E of the production process; in, m material is the material weight, E f is the material carbon emission factor, E p is the process energy consumption, E ef Preset grid emission factors for regions.

9. The blockchain-based new energy vehicle carbon emission monitoring system according to claim 6 is characterized in that: The system also includes a re-collection module, Used to broadcast carbon emission values ​​to preset carbon emission value demand nodes; When verification information is received from the preset carbon emission value demand node, the material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and the carbon emission formula of the production link are sent to the corresponding preset carbon emission value demand node; When the preset carbon emission value demand node feedback material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor or carbon emission formula of the production process does not meet the preset standard rules, rule verification information containing the preset standard rules, material weight, material carbon emission factor, process energy consumption, regional preset grid emission factor and carbon emission formula is generated; Broadcast the rule verification information to all preset carbon emission value demand nodes. When the preset audited number of preset carbon emission value demand nodes feedback the approval information, determine whether the carbon emission formula does not meet the preset standard rules; When it is a carbon emission formula, obtain the carbon emission formula again and update the carbon emission value on the blockchain; When it is not a carbon emission formula, the corresponding information collector is awakened to use the corresponding data again.

10. A non-volatile computer storage medium, characterized in that Computer instructions are stored thereon, and when the computer instructions are executed, they implement a blockchain-based new energy vehicle carbon emission monitoring method as described in any one of claims 1 to 5.

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