Carbon transaction intelligent management and control method and system based on block chain

Abstract

The invention provides a carbon transaction intelligent management and control method and system based on a block chain, and relates to the technical field of carbon transactions, and node analysis and block chain network construction are performed by analyzing carbon transaction participation associated information; acquiring carbon emission monitoring network sensing data, encrypting the data, uploading the data to a distributed account book of a participating node on a chain, and performing consensus verification; if the verification result meets the preset verification standard, carrying out history backtracking, activating a transaction contract in combination with transaction constraints, and carrying out quota division and quota updating; a plurality of carbon transaction platforms are connected, when a transaction request is activated, transaction opponent matching and transaction rate evaluation sorting are performed based on a transaction contract, and a first matching result of the sorting is used as a current transaction opponent for recommendation, so that the problems of low transaction credibility, low transaction efficiency and poor real-time performance and safety during carbon transaction are solved, and the transaction efficiency is improved. The technical effects of improving the transparency and security of the carbon transaction and improving the transaction efficiency and the response speed while ensuring the data authenticity are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon trading, and in particular to a blockchain-based carbon trading intelligent management and control method and system. Background Art

[0002] As the global climate change problem becomes increasingly serious, carbon emission control and carbon trading have become important issues. Carbon trading, also known as carbon emission trading, is a market-based environmental policy tool used to control and reduce greenhouse gas emissions. In this mechanism, a total carbon emission cap is set and this total amount is divided into many tradable emission permits or quotas. Enterprises or other organizations need to purchase these permits to cover their carbon emissions, or they can sell unused quotas by reducing emissions. Since carbon trading data management and transaction execution rely on centralized systems, the data in traditional carbon trading systems are stored in a centralized manner, resulting in a lack of transparency in the transaction process, limited trust in the system by all participants, and easy to become a target of attack, increasing the security risk of the system. The existing system is inefficient in processing large-scale transaction data, and it is difficult to monitor in real time and effectively prevent tampering, thereby limiting the liquidity and scalability of the carbon market.

[0003] In summary, the existing technologies have technical problems in carbon trading, such as low transaction trust, low transaction efficiency, poor real-time performance and security, which limit the liquidity and scalability of the carbon market. Summary of the invention

[0004] This application provides a blockchain-based carbon trading intelligent management and control method and system, which is used to solve the technical problems of low transaction trust, low transaction efficiency, poor real-time and security in carbon trading, thereby limiting the liquidity and scalability of the carbon market.

[0005] In view of the above problems, this application provides a blockchain-based carbon trading intelligent management and control method and system.

[0006] In the first aspect, the present application provides a blockchain-based carbon trading intelligent management and control method, the method comprising:

[0007] Analyze the carbon trading participation-related information, perform node parsing and blockchain network construction based on the participation-related information, and obtain a carbon trading management and control network, wherein the carbon trading management and control network has multiple on-chain participating nodes; obtain the sensor data of the carbon emission monitoring network, encrypt the sensor data and upload it to the distributed ledger of the on-chain participating nodes, and perform consensus verification based on the carbon trading management and control network to generate a verification result; if the verification result meets the preset verification standard, perform historical backtracking of the on-chain participating nodes based on the carbon trading management and control network, combine transaction constraints, activate the transaction contract, and perform quota division and quota update; connect to multiple carbon trading platforms, and when a transaction request is activated, perform counterparty matching and transaction rate evaluation and ranking based on the transaction contract, and recommend the first ranked matching result as the current counterparty, wherein the transaction rate evaluation and ranking is generated based on transaction supply and demand adjustment and transaction rules; execute carbon trading based on the recommended counterparty, and record carbon trading results and update quotas.

[0008] In the second aspect, the present application provides a blockchain-based carbon trading intelligent management and control system, the system comprising:

[0009] A control network construction module is used to analyze the carbon trading participation association information, perform node parsing and blockchain network construction based on the participation association information, and obtain a carbon trading control network, wherein the carbon trading control network has multiple on-chain participating nodes; a data acquisition module is used to obtain the sensor data of the carbon emission monitoring network, encrypt the sensor data and upload it to the distributed ledger of the on-chain participating nodes, and perform consensus verification based on the carbon trading control network to generate a verification result; a quota division and update module is used to perform historical backtracking of the on-chain participating nodes based on the carbon trading control network if the verification result meets the preset verification standard, activate the transaction contract in combination with the transaction constraints, and perform quota division and quota update; a transaction recommendation module is used to connect to multiple carbon trading platforms, and when a transaction request is activated, the transaction counterparty matching and transaction rate evaluation and ranking are performed based on the transaction contract, and the first ranked matching result is recommended as the current transaction counterparty, wherein the transaction rate evaluation and ranking is generated based on the transaction supply and demand adjustment and the transaction rules; a transaction execution module is used to execute carbon trading based on the recommended transaction counterparty, record carbon trading results and update quotas.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] The blockchain-based carbon trading intelligent management and control method provided by the present application obtains a carbon trading management and control network by analyzing carbon trading participation-related information, performing node parsing and blockchain network construction based on the participation-related information, wherein the carbon trading management and control network has multiple on-chain participating nodes; obtaining sensor data from the carbon emission monitoring network, encrypting the sensor data and uploading it to the distributed ledger of the on-chain participating nodes, and performing consensus verification based on the carbon trading management and control network to generate a verification result; if the verification result meets the preset verification standard, the history of the on-chain participating nodes is traced back based on the carbon trading management and control network, combined with the transaction constraints, the transaction contract is activated, and the quota is divided and the quota is updated; connecting to multiple carbon trading platforms, when the transaction When the request is activated, counterparty matching and transaction rate evaluation and ranking are performed based on the transaction contract, and the first matched result is recommended as the current counterparty, wherein the transaction rate evaluation and ranking is generated based on transaction supply and demand adjustment and transaction rules; carbon trading is executed based on the recommended counterparty, and the carbon trading results are recorded and the quota is updated, which solves the technical problems of low transaction trust, low transaction efficiency, poor real-time and security in the existing technology when conducting carbon trading, thereby limiting the liquidity and scalability of the carbon market, and achieves the technical effect of improving the transparency and security of carbon trading, improving transaction efficiency and response speed while ensuring data authenticity, thereby improving market liquidity and participants' satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A flowchart of the blockchain-based intelligent carbon trading management and control method is provided for this application.

[0013] Figure 2 A structural diagram of the blockchain-based carbon trading intelligent management and control system is provided for this application.

[0014] Explanation of the reference numerals: management and control network construction module 11, data collection module 12, quota division and updating module 13, transaction recommendation module 14, transaction execution module 15. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0016] Embodiment 1, as Figure 1 As shown, the present application provides a blockchain-based carbon trading intelligent management and control method, the method comprising:

[0017] Analyze the carbon trading participation association information, perform node parsing and blockchain network construction based on the participation association information, and obtain a carbon trading management and control network, wherein the carbon trading management and control network has multiple on-chain participating nodes.

[0018] Specifically, carbon trading participation-related information refers to the transaction history, credit rating, emission data and other related information of the parties involved in the carbon trading process. The parties here refer to the enterprises, regulatory agencies, audit departments, etc. involved in carbon trading management. First of all, by collecting and analyzing these carbon trading participation-related information, we can deeply understand the historical behavior and credit status of each trading party, which provides a basis for the next step of node analysis and blockchain network construction.

[0019] Node parsing refers to the evaluation and classification of all parties involved in carbon trading, and converting them into different functional nodes in the blockchain network. For example, according to the trading activity, credit rating and carbon emission records of the participants, they can be classified into data collection nodes, transaction execution nodes and regulatory nodes. These nodes are collectively called on-chain participating nodes. Among them, data collection nodes are responsible for real-time collection and uploading of carbon emission data; transaction execution nodes process transaction requests and execute transaction contracts; and regulatory nodes conduct transaction monitoring and compliance review. The construction of the blockchain network is based on the above node parsing results. By setting the permissions and roles of each node, a decentralized carbon trading management and control network is formed on the blockchain. This network not only ensures the transparency and security of the data, but also realizes the immutability and real-time sharing of data through distributed ledger technology.

[0020] Through the above steps, the carbon trading management and control network constructed can effectively manage and supervise carbon trading and improve the market's trust and participation. In addition, through the application of blockchain technology, the risk of fraud can be greatly reduced and the security and reliability of transactions can be enhanced.

[0021] The sensor data of the carbon emission monitoring network is obtained, the sensor data is encrypted and uploaded to the distributed ledger of the participating nodes on the chain, and consensus verification is performed based on the carbon trading management and control network to generate verification results.

[0022] Optionally, the carbon emission monitoring network refers to a sensor network deployed in the data collection nodes at key carbon emission sources such as factory production lines, transport fleets, etc. The sensors in these sensor networks are responsible for collecting carbon emission data in real time, and then providing data to the data collection nodes in the participating nodes on the chain. This data is the key to understanding and controlling carbon emissions, and plays a vital role in implementing carbon trading and supervision.

[0023] First, the sensor data collected from the carbon emission monitoring network needs to be encrypted to protect the security and privacy of the data during transmission. Encryption can use symmetric encryption or asymmetric encryption algorithms, where symmetric encryption algorithms are used to quickly encrypt large amounts of data, while asymmetric encryption is used to encrypt secure communications between sensors and participating nodes on the chain. The encrypted sensor data is then uploaded to the distributed ledgers of the participating nodes on the chain, which include data collection nodes, transaction execution nodes, and regulatory nodes, which play different roles in the blockchain network. The data uploaded to the distributed ledger will be stored and shared to ensure that all information is transparent and accessible throughout the carbon trading management network. After uploading, consensus verification is performed based on the carbon trading management network. Consensus verification is used to ensure that all nodes in the network agree on the data. This can be achieved through various consensus mechanisms, such as proof of work, proof of stake, or Byzantine fault tolerance algorithms. The purpose of consensus verification is to verify the authenticity and integrity of the sensor data. For example, if a production line node in a factory reports a sudden reduction in carbon emissions, the data will be uploaded and verified by other nodes in the network. These nodes will check the data for anomalies based on historical data and preset algorithms. If most nodes verify that the data is reasonable, the verification result will be marked as successful, otherwise it may trigger additional inspections or audits. Finally, the generated verification results are crucial for trading contracts, updating quotas and credits. The successful verification results will directly affect trading decisions, such as the reallocation of quotas and the execution of transactions, ensuring the fairness and efficiency of carbon trading. In this way, not only the transparency and trust of carbon trading are improved, but also carbon emission data are effectively controlled and managed.

[0024] If the verification result meets the preset verification standard, the history of the participating nodes on the chain is traced back based on the carbon trading management and control network, and the transaction contract is activated in combination with the transaction constraints to carry out quota division and quota update.

[0025] Furthermore, the verification results are data confirmation results obtained based on the consensus verification mechanism in the carbon trading management and control network. When these results meet the preset verification standards, it means that the authenticity and integrity of the sensor data are recognized by the network. Among them, the preset verification standards include verification standard indicators of parameters such as data consistency, integrity and compliance with historical trends. Once the verification results are confirmed to meet the preset standards, the historical backtracking of the participating nodes on the chain will be carried out based on the carbon trading management and control network. The historical backtracking involves a detailed review of the past transactions and data behaviors of the participating nodes on the chain to evaluate the rationality and security of their current transaction contract execution. This step ensures that all transaction behaviors are based on reliable and verified data records. Subsequently, the transaction contract is activated in combination with the transaction constraints. The transaction constraints include quota usage caps, transaction frequency limits, and credit ratings of the participating parties. These constraints ensure that trading activities are carried out in a fair and just environment to prevent market manipulation and unfair competition. Once the transaction contract is activated, the system will automatically execute quota division and quota updates. Quota allocation refers to the reasonable allocation of total carbon emissions to each trading participant based on trading rules and environmental goals; while quota updates involve adjusting the carbon emission quota on each participant's account to reflect the latest trading activities. These operations are automatically performed by smart contracts, reducing manual intervention and improving processing efficiency and transparency. For example, suppose a large industrial group has significantly reduced its carbon emissions due to the adoption of new environmental protection technologies. In this case, after consensus verification, the group's carbon trading quota will be adjusted according to the latest emission data. In this process, the trading contract automatically retrieves the group's historical emission data and quota usage, reallocates carbon quotas based on the current carbon emission level, and updates the ledger records in real time.

[0026] Through the above steps, the real-time, accuracy and fairness of carbon trading are ensured, while the overall efficiency and transparency of the carbon market are improved.

[0027] Connect to multiple carbon trading platforms. When a transaction request is activated, counterparty matching and transaction rate evaluation and ranking are performed based on the transaction contract, and the first matched result is recommended as the current counterparty. The transaction rate evaluation and ranking is generated based on transaction supply and demand adjustment and transaction rules.

[0028] Carbon trading is performed based on the recommended counterparty, and the carbon trading results are recorded and the quota is updated.

[0029] Specifically, by connecting to multiple carbon trading platforms, cross-platform transaction request processing and counterparty matching, as well as transaction decision support based on advanced transaction rate evaluation, are realized. First, when a transaction request is activated, the current transaction supply and demand information is automatically collected from multiple connected carbon trading platforms, including the quota demand, supply situation and market price fluctuations of each participant. This information is crucial for subsequent transaction matching and decision-making. Next, a preset algorithm, namely the transaction rate evaluation ranking model, is used to evaluate and rank potential transaction counterparties. This model conducts a comprehensive evaluation based on factors such as the historical transaction rate, market response speed and quota matching degree of both parties. The purpose of the transaction rate evaluation is to determine which transaction counterparties are most likely to successfully complete the transaction under the conditions of meeting the current transaction request, thereby maximizing the efficiency and benefits of the transaction. The first-ranked matching result will be recommended as the best counterparty for the current transaction. This recommendation is based on a series of predefined transaction rules, including the urgency of the transaction, the effective use of quotas and minimizing transaction costs. After selecting the best transaction counterparty, the carbon transaction will be executed based on the transaction contract. The transaction contract is a smart contract that ensures that all conditions of the transaction are met. After the transaction is completed, the carbon trading results are recorded and the carbon quotas of the two parties involved in the transaction are updated. The quota update is automatic, ensuring the accuracy of the account and the transparency of the transaction. These operations are recorded on the distributed ledger, which not only provides the non-repudiation and traceability of the transaction, but also enhances the trust and security of the entire carbon trading system.

[0030] Through the above steps, not only the efficiency and response speed of carbon trading are improved, but also errors and delays in the transaction process are reduced through smart contracts, thus providing a more reliable and efficient carbon trading platform for all parties involved.

[0031] Furthermore, the carbon trading participation association information is analyzed, and node parsing and blockchain network construction are performed based on the participation association information to obtain a carbon trading management and control network, wherein the carbon trading management and control network has multiple on-chain participating nodes, including:

[0032] Obtain transaction history process association information and credit rating information of participants in carbon trading.

[0033] Based on the process association information and credit rating information, node parsing is performed through a preset weight parsing model to obtain a node parsing result.

[0034] Based on the node analysis results, multiple on-chain participating nodes in the blockchain network are constructed, and corresponding on-chain permissions are assigned to each on-chain participating node to obtain a carbon trading management and control network, wherein the on-chain participating nodes include data collection nodes, transaction execution nodes and supervision nodes, and the data collection nodes are multiple trading objects participating in carbon trading.

[0035] Exemplarily, building an efficient and secure carbon trading management and control network is achieved by exhaustively analyzing the trading history and credit rating information of the participants. First, collect relevant information from all parties involved in carbon trading, including but not limited to the historical trading data, trading frequency, trading scale and credit ratings evaluated by independent third parties of the participants. These data are the basis for evaluating the behavior and trust of the participants in the carbon trading market. Using this collected information, node parsing is performed through a preset weight parsing model. This model assigns different weights to different data points (such as trading frequency and credit rating) to measure the influence and reliability of each participant. The results of weight parsing can help determine the role and authority of each participant in the carbon trading management and control network. Further, according to the results of node parsing, the participants are divided into different types of nodes, including data collection nodes, transaction execution nodes and supervision nodes. Data collection nodes are mainly responsible for collecting and reporting carbon emission-related data. These nodes are usually enterprises or institutions directly involved in carbon emissions; transaction execution nodes process transaction requests, execute transaction contracts, and ensure the compliance and effectiveness of transactions; supervision nodes monitor the operation of the entire system to ensure that all activities comply with carbon trading regulations and standards. When building a blockchain network, each participating node on the chain is assigned specific permissions according to its role, which defines the scope of operations that the node can perform and the type of data it can access. For example, a transaction execution node will have access to all transaction data, while a data collection node may only be able to upload its own carbon emission data.

[0036] Through the above steps, not only the authenticity and transparency of carbon trading data are ensured, but also the security and efficiency of the entire carbon trading system are improved. The clear division of roles and responsibilities of each node, combined with the immutability of blockchain technology, provides a reliable and fair trading environment for the carbon trading market.

[0037] Furthermore, the sensor data of the carbon emission monitoring network is obtained, the sensor data is encrypted and uploaded to the distributed ledger of the participating nodes on the chain, and consensus verification is performed based on the carbon trading management and control network to generate verification results, including:

[0038] A carbon emission monitoring network is obtained for each transaction object, wherein the carbon emission monitoring network is composed of sensors deployed at key carbon emission nodes.

[0039] The carbon emission data is collected in real time based on the sensor, and the collected carbon emission data is encrypted, and the encryption process adopts a symmetric encryption algorithm or an asymmetric encryption algorithm.

[0040] The encrypted carbon emission data is uploaded to the distributed ledger of the participating nodes on the chain, wherein the distributed ledger stores and shares the encrypted carbon emission data.

[0041] Based on the consensus mechanism in the carbon trading management and control network, the uploaded data is verified by the participating nodes on the chain to generate a verification result, wherein the consensus mechanism includes proof of work, proof of stake or Byzantine fault tolerance algorithm.

[0042] Specifically, in order to ensure the authenticity and integrity of carbon emission data, a systematic approach is adopted to collect, encrypt, upload and verify carbon emission monitoring data. First, a comprehensive carbon emission monitoring network is built by deploying sensors at the key carbon emission nodes of each trading object. The main function of these sensors is to monitor and collect carbon emission data in real time to ensure the accuracy and timeliness of the data. The collected carbon emission data is encrypted by using symmetric encryption or asymmetric encryption algorithms. Symmetric encryption algorithms are used here to quickly encrypt large amounts of data because of their fast encryption and decryption speed and are suitable for real-time data processing; while asymmetric encryption is used to ensure the security of data during transmission because it can effectively prevent data from being intercepted and tampered with during transmission. The encrypted data is then uploaded to the distributed ledger maintained by the participating nodes on the chain. As the core of the blockchain network, this distributed ledger is responsible for storing and sharing all uploaded carbon emission data to ensure the accessibility and immutability of the data. This data sharing mechanism enables all authorized network participants to access and review the data in real time, thereby improving the transparency and trust of the data.

[0043] After the data is uploaded, based on the consensus mechanism in the carbon trading management and control network, the uploaded data is verified by the on-chain participating nodes in the network. This verification process is implemented through consensus algorithms such as proof of work, proof of equity or Byzantine fault tolerance. These consensus mechanisms ensure that only verified data can be accepted and recorded on the blockchain, thereby preventing the existence of erroneous or forged data. For example, the carbon emission data of a power plant is collected in real time through sensors and encrypted using the AES algorithm. After the encrypted data is uploaded to the blockchain network, it is verified by multiple nodes in the network through the PoW mechanism. Only when the majority of nodes confirm the authenticity of the data will the data be finally accepted and recorded in the blockchain ledger, and then the relevant carbon trading or quota update operations will be based on these verified data.

[0044] Through this detailed data processing and verification process, the security and reliability of the carbon trading system are effectively improved, ensuring the fairness and efficiency of the carbon market.

[0045] Furthermore, if the verification result meets the preset verification standard, the history of participating nodes on the chain is traced back based on the carbon trading management and control network, and the transaction contract is activated in combination with the transaction constraints to divide the quota and update the quota, including:

[0046] When the verification result meets the preset verification standard, a verification pass signal is generated, wherein the preset verification standard is a measure of the degree of common recognition of the authenticity of the uploaded data by the participating nodes on the chain.

[0047] After receiving the verification pass signal, the historical carbon emission data, transaction records and quota usage of each transaction object in the participating nodes on the chain are retrieved and analyzed based on big data, and the corresponding transaction contract is activated in combination with the preset transaction constraints, wherein the transaction constraints include quota allocation rules, carbon emission restrictions and credit scores of transaction objects.

[0048] Based on the transaction contract, the carbon emission quota of each transaction object is automatically divided and the amount is updated to obtain the quota division result.

[0049] The quota division result is stored in the distributed ledger of the participating nodes on the chain.

[0050] Furthermore, the data verification and quota management process of carbon trading is realized through a highly automated blockchain network, ensuring the fairness and transparency of carbon trading. First, when the carbon emission data uploaded to the blockchain passes the consensus verification of the participating nodes on the chain, that is, it meets the preset verification standards, a verification pass signal is generated. This preset verification standard is usually determined based on the degree of common recognition of the authenticity of the uploaded data by the participating nodes on the chain, ensuring that all data complies with the specifications and requirements of the carbon trading management and control network. After receiving the verification pass signal, the historical carbon emission data, transaction records and quota usage of each trading object in the participating nodes on the chain are retrieved and analyzed in detail using big data technology. In this step, big data analysis tools can process huge data sets and quickly extract key information to provide data support for subsequent trading decisions. Then, based on these analysis results, combined with preset trading constraints, the corresponding trading contracts are activated. These trading constraints may include quota allocation rules, carbon emission restrictions, and the credit scores of trading objects, which together determine the allocation and update methods of carbon quotas. Subsequently, based on the activated transaction contract, the carbon emission quotas of each transaction object are automatically divided and updated. This process is automatically executed through smart contracts, ensuring the accuracy and efficiency of the operation. Among them, the quota division results reflect the new carbon emission rights and responsibilities of each transaction object, and these results are then stored in the distributed ledger of the participating nodes on the chain. The distributed ledger not only ensures the immutability and long-term storage of the data, but also enables all participants to access the latest quota information in real time, ensuring the transparency and traceability of the transaction.

[0051] Through the above steps, blockchain technology is effectively applied to carbon trading management, which not only improves processing speed and accuracy, but also enhances the security of the system and the trust of users.

[0052] Furthermore, the method further comprises:

[0053] If the verification result does not meet the preset verification standard, a verification failure signal is generated and the verification failure signal is fed back to the participating nodes on the chain.

[0054] Based on the verification failure signal, a re-analysis process of the carbon emission data is triggered, and the uploaded carbon emission data is cross-validated again. The cross-validation includes obtaining carbon emission data through additional data collection nodes or third-party authentication nodes for comparative verification.

[0055] The suspicious data is marked through the cross-validation, and the mapped transaction object of the data is warned based on the marking result, and re-verified after compliance review and verification.

[0056] When the re-verification is passed, the transaction contract is activated again to divide the carbon quota and update the quota, and the re-verification results are stored in the distributed ledger of the participating nodes on the chain.

[0057] If the re-verification still fails, the transaction rights of the relevant transaction object will be automatically suspended, and the violation information will be recorded in the distributed ledger.

[0058] Optionally, if the uploaded carbon emission data fails to meet the preset verification standards, the verification and correction process will be triggered to ensure the accuracy and fairness of the carbon trading system. First, when the data verification fails, the system will generate a verification failure signal and automatically feed the signal back to all participating nodes on the chain, including data collection nodes, transaction execution nodes and regulatory nodes, all of which are responsible for maintaining the data integrity and security of the blockchain network. Next, based on the verification failure signal, the system will automatically trigger the re-analysis process of carbon emission data, which includes cross-verification of the uploaded carbon emission data to check and confirm the authenticity of the data. Cross-verification usually involves introducing additional data collection nodes or third-party certification nodes to obtain carbon emission data at the same time point and compare these data with the original uploaded data. Third-party certification nodes specifically refer to nodes operated by independent institutions, which have industry-recognized data review and verification capabilities to enhance the objectivity and credibility of the verification process. If any suspicious data is found during the cross-verification process, the system will automatically mark the data and issue an early warning notification to the data mapping transaction object based on the marking results. This early warning notification is a risk reminder to the transaction object, notifying it of possible data problems or compliance risks. Subsequently, these marked data will be reviewed and verified for compliance again to ensure that all data complies with the regulations and standards of carbon trading. When the data is confirmed to be accurate after re-verification, the system will re-activate the relevant transaction contract and carry out carbon quota division and quota update. These update results are then recorded in the distributed ledger maintained by the participating nodes on the chain to ensure the immutability and long-term traceability of all transaction records. If the data re-verification still fails, the system will automatically suspend the trading rights of the relevant transaction object and record the violation information in the distributed ledger as a basis for future transactions and supervision.

[0059] Through this strict verification and re-verification mechanism, the authenticity and reliability of data in the carbon trading system are ensured, and the fairness and transparency of the carbon market are maintained. In addition, the automated processing flow greatly improves processing efficiency, reduces the possibility of human error, and provides a highly credible and effective trading environment for carbon trading market participants.

[0060] Furthermore, when a transaction request is activated, multiple carbon trading platforms are connected. Based on the transaction contract, the transaction counterparty matching and transaction rate evaluation ranking are performed, and the first matching result is recommended as the current transaction counterparty. The transaction rate evaluation ranking is generated based on the transaction supply and demand adjustment and transaction rules, including:

[0061] When a transaction request is activated, real-time transaction supply and demand information and market price fluctuations can be obtained by connecting to multiple carbon trading platforms.

[0062] Based on the constraints of the transaction contract and combined with the supply and demand data of the carbon trading platform, potential transaction counterparties are preliminarily screened to eliminate transaction counterparties that do not meet the constraints.

[0063] A transaction rate evaluation value is generated by comprehensively analyzing the historical transaction success rate, quota demand matching degree and market response time of each potential transaction counterparty.

[0064] Activate the trading rules, and dynamically adjust the trading rules according to the real-time market conditions. Sort the potential trading counterparties according to the transaction rate evaluation value, and give priority to recommending the trading counterparties with the highest transaction rate as the recommended trading counterparties.

[0065] Furthermore, when a transaction request is activated, the system automatically collects real-time transaction supply and demand information and price fluctuations on the current market through multiple connected carbon trading platforms. This step is to ensure that the supply and demand status can be understood from the perspective of the entire market, and to provide data support for subsequent matching and decision-making. Next, all potential counterparties are preliminarily screened based on the preset transaction contract constraints. The transaction contract constraints include carbon emission quota restrictions, credit ratings of transaction objects, and other relevant compliance requirements. This screening process ensures that all counterparties entering the matching stage meet the most basic transaction requirements, thereby reducing the risk of transaction failure. Subsequently, a more in-depth analysis of potential counterparties that pass the preliminary screening is conducted, including evaluating each counterparty's historical transaction success rate, the matching degree of quota requirements, and the market response time. These factors are combined to form a transaction rate evaluation value, which reflects the potential ability and reliability of each counterparty to complete the transaction. By analyzing these data, the system can identify the counterparty that is most likely to successfully complete the transaction. Ultimately, the trading rules are dynamically activated and adjusted according to real-time market conditions, and all potential counterparties are ranked using the above-mentioned transaction rate evaluation values. The highest-ranked counterparty, that is, the counterparty with the highest transaction rate evaluation value will be recommended to the transaction requester as a recommended counterparty. This recommendation process is not only based on historical data and real-time analysis, but also takes into account the immediate changes in the market to ensure the timeliness and accuracy of the recommendation results.

[0066] Through the above steps, a comprehensive and automated carbon trading matching and optimization solution is provided, which greatly improves the efficiency and success rate of carbon trading, while ensuring the transparency and fairness of the trading process. In addition, the system's dynamic adjustment capability enables it to flexibly respond to rapid changes in the market and ensure that trading decisions are always based on the latest market data.

[0067] Furthermore, the method further comprises:

[0068] The entire carbon trading process is supervised and audited in real time, including dynamic monitoring of carbon emission data, tracking of carbon quota usage, and compliance review of trading rules.

[0069] Among them, the compliance review is to automatically record the carbon emission data, transaction behavior and quota changes of each transaction object through the transaction contract on the blockchain, and generate audit reports regularly.

[0070] The audit report is uploaded to the regulatory node, which reviews the compliance of carbon emissions, the rationality of quota use, and the implementation of trading rules, and adjusts or restricts the trading behavior of participating nodes on the chain based on the review results.

[0071] Specifically, a comprehensive real-time supervision and audit mechanism is further adopted to ensure the transparency and compliance of the carbon trading process. This mechanism is mainly based on blockchain technology and uses smart contracts to automatically process carbon trading data, thereby realizing dynamic monitoring of carbon emission data, tracking of carbon quota usage, and compliance review of trading rules. First, the real-time supervision part involves continuous monitoring of carbon emission data, which includes not only monitoring of real-time carbon emissions, but also real-time tracking of carbon quota usage. In this process, all relevant data are automatically recorded through smart contracts on the blockchain to ensure the accuracy and timely update of the data. At the same time, the system will also check whether all transactions comply with the set trading rules, such as quota exchange restrictions, trading time windows, etc., to ensure the compliance of all transactions. The audit part is to automatically collect carbon emission data, trading behavior and quota changes of each trading object through smart contracts. These data are systematically integrated and recorded on the blockchain, thus forming a detailed record of transactions and emissions. Periodically, the system will generate audit reports based on these records, which record in detail the data and status of all carbon trading activities within a certain period. The generated audit reports are then uploaded to the supervision node. Regulatory nodes refer to blockchain network nodes that have the authority to conduct compliance checks and policy enforcement. They conduct in-depth analysis of the information in the audit report to evaluate carbon emission compliance, the rationality of quota use, and the implementation of trading rules. Based on these review results, regulatory nodes can make necessary adjustments or restrictions on the trading behavior of participating nodes on the chain.

[0072] Through the above steps, not only the transparency and traceability of the carbon trading process are ensured, but also the real-time control and post-audit capabilities of the trading process are enhanced. This highly automated and decentralized regulatory mechanism provides a strong guarantee for the healthy operation of the carbon market and promotes the realization of environmental protection goals.

[0073] Through the technical solutions of the above-mentioned embodiments, the blockchain-based intelligent carbon trading management and control method provided by this application solves the technical problems of low transaction trust, low transaction efficiency, poor real-time and security in the prior art when conducting carbon trading, thereby limiting the liquidity and scalability of the carbon market, and achieves the technical effect of improving the transparency and security of carbon trading, improving transaction efficiency and response speed while ensuring the authenticity of data, thereby improving market liquidity and the satisfaction of participants.

[0074] Embodiment 2 is based on the same inventive concept as the blockchain-based carbon trading intelligent management and control method in the above embodiment. Figure 2 As shown, this application provides a blockchain-based carbon trading intelligent management and control system, the system comprising:

[0075] The control network construction module 11 is used to analyze the carbon trading participation-related information, perform node parsing and blockchain network construction based on the participation-related information, and obtain a carbon trading control network, wherein the carbon trading control network has multiple on-chain participating nodes.

[0076] The data acquisition module 12 is used to obtain the sensor data of the carbon emission monitoring network, encrypt the sensor data and upload it to the distributed ledger of the participating nodes on the chain, and perform consensus verification based on the carbon trading management and control network to generate a verification result.

[0077] The quota division and update module 13 is used to perform historical backtracking of the participating nodes on the chain based on the carbon trading management and control network if the verification result meets the preset verification standard, activate the trading contract in combination with the transaction constraints, and perform quota division and quota update.

[0078] The transaction recommendation module 14 is used to connect to multiple carbon trading platforms. When a transaction request is activated, it performs counterparty matching and transaction rate evaluation and ranking based on the transaction contract, and recommends the first ranked matching result as the current counterparty, wherein the transaction rate evaluation and ranking is generated based on transaction supply and demand adjustment and transaction rules.

[0079] The transaction execution module 15 is used to execute carbon trading based on the recommended trading counterparty, record carbon trading results and update the quota.

[0080] Furthermore, the control network construction module 11 is also used to perform the following steps:

[0081] Obtain transaction history process association information and credit rating information of participants in carbon trading.

[0082] Based on the process association information and credit rating information, node parsing is performed through a preset weight parsing model to obtain a node parsing result.

[0083] Based on the node analysis results, multiple on-chain participating nodes in the blockchain network are constructed, and corresponding on-chain permissions are assigned to each on-chain participating node to obtain a carbon trading management and control network, wherein the on-chain participating nodes include data collection nodes, transaction execution nodes and supervision nodes, and the data collection nodes are multiple trading objects participating in carbon trading.

[0084] Furthermore, the data acquisition module 12 is further configured to perform the following steps:

[0085] A carbon emission monitoring network is obtained for each transaction object, wherein the carbon emission monitoring network is composed of sensors deployed at key carbon emission nodes.

[0086] The carbon emission data is collected in real time based on the sensor, and the collected carbon emission data is encrypted, and the encryption process adopts a symmetric encryption algorithm or an asymmetric encryption algorithm.

[0087] The encrypted carbon emission data is uploaded to the distributed ledger of the participating nodes on the chain, wherein the distributed ledger stores and shares the encrypted carbon emission data.

[0088] Based on the consensus mechanism in the carbon trading management and control network, the uploaded data is verified by the participating nodes on the chain to generate a verification result, wherein the consensus mechanism includes proof of work, proof of stake or Byzantine fault tolerance algorithm.

[0089] Furthermore, the quota division updating module 13 is further configured to perform the following steps:

[0090] When the verification result meets the preset verification standard, a verification pass signal is generated, wherein the preset verification standard is a measure of the degree of common recognition of the authenticity of the uploaded data by the participating nodes on the chain.

[0091] After receiving the verification pass signal, the historical carbon emission data, transaction records and quota usage of each transaction object in the participating nodes on the chain are retrieved and analyzed based on big data, and the corresponding transaction contract is activated in combination with the preset transaction constraints, wherein the transaction constraints include quota allocation rules, carbon emission restrictions and credit scores of transaction objects.

[0092] Based on the transaction contract, the carbon emission quota of each transaction object is automatically divided and the amount is updated to obtain the quota division result.

[0093] The quota division result is stored in the distributed ledger of the participating nodes on the chain.

[0094] Furthermore, the quota division updating module 13 is further configured to perform the following steps:

[0095] If the verification result does not meet the preset verification standard, a verification failure signal is generated and the verification failure signal is fed back to the participating nodes on the chain.

[0096] Based on the verification failure signal, a re-analysis process of the carbon emission data is triggered, and the uploaded carbon emission data is cross-validated again. The cross-validation includes obtaining carbon emission data through additional data collection nodes or third-party authentication nodes for comparative verification.

[0097] The suspicious data is marked through the cross-validation, and the mapped transaction object of the data is warned based on the marking result, and re-verified after compliance review and verification.

[0098] When the re-verification is passed, the transaction contract is activated again to divide the carbon quota and update the quota, and the re-verification results are stored in the distributed ledger of the participating nodes on the chain.

[0099] If the re-verification still fails, the transaction rights of the relevant transaction object will be automatically suspended, and the violation information will be recorded in the distributed ledger.

[0100] Furthermore, the transaction recommendation module 14 is further configured to perform the following steps:

[0101] When a transaction request is activated, real-time transaction supply and demand information and market price fluctuations can be obtained by connecting to multiple carbon trading platforms.

[0102] Based on the constraints of the transaction contract and combined with the supply and demand data of the carbon trading platform, potential transaction counterparties are preliminarily screened to eliminate transaction counterparties that do not meet the constraints.

[0103] A transaction rate evaluation value is generated by comprehensively analyzing the historical transaction success rate, quota demand matching degree and market response time of each potential transaction counterparty.

[0104] Activate the trading rules, and dynamically adjust the trading rules according to the real-time market conditions. Sort the potential trading counterparties according to the transaction rate evaluation value, and give priority to recommending the trading counterparties with the highest transaction rate as the recommended trading counterparties.

[0105] Furthermore, the system further comprises:

[0106] The real-time supervision module is used to conduct real-time supervision and audit of the entire carbon trading process. The real-time supervision includes dynamic monitoring of carbon emission data, tracking of carbon quota usage, and compliance review of trading rules.

[0107] The report generation module is used for compliance review, which automatically records the carbon emission data, transaction behavior and quota changes of each transaction object through the transaction contract on the blockchain, and generates audit reports regularly.

[0108] The dynamic control module is used to upload the audit report to the regulatory node, which reviews the compliance of carbon emissions, the rationality of quota use and the implementation of trading rules, and adjusts or restricts the trading behavior of the participating nodes on the chain based on the review results.

[0109] Through the above detailed description of the blockchain-based carbon trading intelligent management and control method in this specification, those skilled in the art can clearly understand the blockchain-based carbon trading intelligent management and control system in this embodiment. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0110] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those 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 application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. The blockchain-based carbon trading intelligent management and control method is characterized by: The method comprises: Analyze carbon trading participation association information, perform node parsing and blockchain network construction based on the participation association information, and obtain a carbon trading management and control network, wherein the carbon trading management and control network has multiple on-chain participating nodes; Acquire sensor data from the carbon emission monitoring network, encrypt the sensor data and upload it to the distributed ledger of the participating nodes on the chain, and perform consensus verification based on the carbon trading management and control network to generate verification results; If the verification result meets the preset verification standard, the historical backtracking of the participating nodes on the chain is carried out based on the carbon trading management and control network, and the transaction contract is activated in combination with the transaction constraints to divide the quota and update the quota; Connecting to multiple carbon trading platforms, when a trading request is activated, matching of trading counterparties and ranking of transaction rate evaluation are performed based on the trading contract, and the first matching result in the ranking is recommended as the current trading counterparty, wherein the ranking of transaction rate evaluation is based on the adjustment of trading supply and demand and the generation of trading rules; Carbon trading is performed based on the recommended counterparty, and the carbon trading results are recorded and the quota is updated.

2. The blockchain-based carbon trading intelligent management and control method according to claim 1, characterized in that: Analyze the carbon trading participation association information, perform node parsing and blockchain network construction based on the participation association information, and obtain a carbon trading management and control network, wherein the carbon trading management and control network has multiple on-chain participating nodes, including: Obtain transaction history and credit rating information of carbon trading parties; Based on the process association information and the credit rating information, node parsing is performed through a preset weight parsing model to obtain a node parsing result; Based on the node analysis results, multiple on-chain participating nodes in the blockchain network are constructed, and corresponding on-chain permissions are assigned to each on-chain participating node to obtain a carbon trading management and control network, wherein the on-chain participating nodes include data collection nodes, transaction execution nodes and supervision nodes, and the data collection nodes are multiple trading objects participating in carbon trading.

3. The blockchain-based carbon trading intelligent management and control method according to claim 2, characterized in that: Acquire sensor data from the carbon emission monitoring network, encrypt the sensor data and upload it to the distributed ledger of the participating nodes on the chain, and perform consensus verification based on the carbon trading management and control network to generate verification results, including: Obtaining a carbon emission monitoring network for each transaction object, wherein the carbon emission monitoring network is composed of sensors deployed at key carbon emission nodes; Based on the real-time collection of carbon emission data by the sensor, the collected carbon emission data is encrypted, and the encryption process adopts a symmetric encryption or an asymmetric encryption algorithm; Uploading the encrypted carbon emission data to the distributed ledger of the participating nodes on the chain, wherein the distributed ledger stores and shares the encrypted carbon emission data; Based on the consensus mechanism in the carbon trading management and control network, the uploaded data is verified by the participating nodes on the chain to generate a verification result, wherein the consensus mechanism includes proof of work, proof of stake or Byzantine fault tolerance algorithm.

4. The blockchain-based carbon trading intelligent management and control method according to claim 3 is characterized in that: If the verification result meets the preset verification standard, the historical backtracking of the participating nodes on the chain is carried out based on the carbon trading management and control network, and the transaction contract is activated in combination with the transaction constraints to divide the quota and update the quota, including: When the verification result meets the preset verification standard, a verification pass signal is generated, wherein the preset verification standard is a measure of the degree of common recognition of the authenticity of the uploaded data by the participating nodes on the chain; After receiving the verification signal, the historical carbon emission data, transaction records and quota usage of each transaction object in the participating nodes on the chain are retrieved and analyzed based on big data, and the corresponding transaction contract is activated in combination with the preset transaction constraints, wherein the transaction constraints include quota allocation rules, carbon emission restrictions and credit scores of transaction objects; Automatically divide and update the carbon emission quotas of each transaction object based on the transaction contract to obtain the quota division result; The quota division result is stored in the distributed ledger of the participating nodes on the chain.

5. The blockchain-based carbon trading intelligent management and control method according to claim 4, characterized in that: The method further comprises: If the verification result does not meet the preset verification standard, a verification failure signal is generated, and the verification failure signal is fed back to the participating nodes on the chain; Based on the verification failure signal, a reanalysis process of the carbon emission data is triggered, and the uploaded carbon emission data is cross-validated again, wherein the cross-validation includes obtaining the carbon emission data through an additional data collection node or a third-party authentication node for comparative verification; The suspicious data is marked through the cross-validation, and the mapped transaction object of the data is notified of an early warning based on the marking result, and re-verified after compliance review and verification; When the re-verification is passed, the transaction contract is activated again to divide the carbon quota and update the quota, and the re-verification results are stored in the distributed ledger of the participating nodes on the chain; If the re-verification still fails, the transaction rights of the relevant transaction object will be automatically suspended, and the violation information will be recorded in the distributed ledger.

6. The blockchain-based carbon trading intelligent management and control method according to claim 1, characterized in that: Connecting to multiple carbon trading platforms, when a trading request is activated, counterparty matching and transaction rate evaluation and ranking are performed based on the trading contract, and the first matching result is recommended as the current counterparty, wherein the transaction rate evaluation and ranking is generated based on the transaction supply and demand adjustment and trading rules, including: When a transaction request is activated, it can obtain real-time transaction supply and demand information and market price fluctuations by connecting to multiple carbon trading platforms; Based on the constraints of the transaction contract and in combination with the supply and demand data of the carbon trading platform, preliminary screening of potential trading counterparties is conducted to eliminate trading counterparties that do not meet the constraints; Generate a transaction rate evaluation value by comprehensively analyzing the historical transaction success rate, quota demand matching degree and market response time of each potential transaction counterparty; Activate the trading rules, and dynamically adjust the trading rules according to the real-time market conditions. Sort the potential trading counterparties according to the transaction rate evaluation value, and give priority to recommending the trading counterparties with the highest transaction rate as the recommended trading counterparties.

7. The blockchain-based carbon trading intelligent management and control method according to claim 1, characterized in that: The method further comprises: Real-time supervision and auditing of the entire carbon trading process, including dynamic monitoring of carbon emission data, tracking of carbon quota usage, and compliance review of trading rules; Among them, compliance review is to automatically record the carbon emission data, transaction behavior and quota changes of each transaction object through the transaction contract on the blockchain, and generate audit reports regularly; The audit report is uploaded to the regulatory node, which reviews the compliance of carbon emissions, the rationality of quota use, and the implementation of trading rules, and adjusts or restricts the trading behavior of participating nodes on the chain based on the review results.

8. The blockchain-based carbon trading intelligent management and control system is characterized by: The system for implementing the blockchain-based carbon trading intelligent management and control method according to any one of claims 1 to 7 comprises: A control network construction module is used to analyze carbon trading participation-related information, perform node parsing and blockchain network construction based on the participation-related information, and obtain a carbon trading control network, wherein the carbon trading control network has multiple on-chain participating nodes; A data acquisition module is used to obtain sensor data from the carbon emission monitoring network, encrypt the sensor data and upload it to the distributed ledger of the participating nodes on the chain, and perform consensus verification based on the carbon trading management and control network to generate verification results; A quota division and update module, which is used to perform historical backtracking of participating nodes on the chain based on the carbon trading management and control network, activate the trading contract in combination with the transaction constraints, and perform quota division and quota update if the verification result meets the preset verification standard; A transaction recommendation module is used to connect to multiple carbon trading platforms. When a transaction request is activated, it matches the transaction counterparty and evaluates and sorts the transaction rate based on the transaction contract, and recommends the first matched result as the current transaction counterparty. The transaction rate evaluation and sorting is based on the transaction supply and demand adjustment and transaction rule generation. The transaction execution module is used to execute carbon trading based on the recommended trading counterparty, record carbon trading results and update the quota.

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