Ocean carbon sink resource management method, system and product based on alliance chain

Abstract

The invention provides an alliance chain-based marine carbon sink resource management method, system and product. The method comprises the steps of verifying original marine carbon sink data based on a first smart contract in an alliance chain network; generating an ocean carbon sink resource digital certificate based on the verified ocean carbon sink data, and storing the ocean carbon sink resource digital certificate in an ocean carbon sink resource database; automatically matching a resource demander and a resource supplier through a second intelligent contract in the alliance chain network based on the ocean carbon sink resource digital certificate and the carbon sink quantity prediction data in the ocean carbon sink resource database, and generating a matching result; and after the resource demander and the resource supplier jointly confirm the matching result, the right and interest change of the ocean carbon sink resources is executed through a third intelligent contract in the alliance chain network. According to the method, automatic processing from data verification to resource management is realized through cooperation of multiple intelligent contracts deployed on the alliance chain, and multi-party cooperation efficiency and credibility in ocean carbon sink resource management can be effectively improved.

Description

Technical Field

[0001] This application relates to the field of energy trading technology, and in particular to a method, system and product for managing marine carbon sink resources based on consortium blockchain. Background Technology

[0002] The ocean is the largest carbon sink system on Earth, accounting for more than 55% of global carbon sequestration. Marine carbon sequestration refers to the ability of marine ecosystems to absorb and fix carbon dioxide. Marine ecosystems, including mangroves, seagrass beds, and plankton, can absorb approximately 2 billion tons of carbon dioxide annually, a carbon sequestration capacity 2-4 times that of terrestrial forests. However, current measurement, verification, and trading records of marine carbon sinks rely on manual or isolated systems, making them susceptible to tampering. Furthermore, marine carbon sink data involves multiple platforms, including regulatory agencies, research institutions, environmental organizations, and international organizations, leading to difficulties in data sharing and weak privacy protection mechanisms. The lack of standardized procedures for defining the property rights of marine carbon sink resources also hinders the circulation and allocation of resource rights. While blockchain technology has been attempted for energy trading, it is mostly based on public or private blockchains. Public blockchains are inefficient and offer poor privacy, while private blockchains struggle to meet the needs of multi-party collaboration. In addition, data sharing often relies on plaintext transmission, lacking privacy protection technologies and posing a risk of sensitive information leakage. Summary of the Invention

[0003] The purpose of this application is to provide a method, system, and product for marine carbon sink resource management based on consortium blockchain, which can at least solve the problems of low efficiency and poor reliability in multi-party collaboration of marine carbon sink resource management in related technologies.

[0004] To address the aforementioned technical problems, the first aspect of this application provides a method for managing marine carbon sink resources based on a consortium blockchain, comprising:

[0005] The original ocean carbon sink data is verified based on the first smart contract in the consortium blockchain network;

[0006] Digital certificates for marine carbon sink resources are generated based on the verified marine carbon sink data and stored in the marine carbon sink resource database.

[0007] Based on the marine carbon sink resource digital certificates in the marine carbon sink resource database and the carbon sink volume prediction data, the resource demanders and resource suppliers are automatically matched through the second smart contract in the consortium blockchain network, and a matching result is generated.

[0008] Once the resource demander and the resource supplier jointly confirm the matching result, the equity transfer of the marine carbon sink resources is executed through a third smart contract in the consortium blockchain network.

[0009] A second aspect of this application provides a marine carbon sink resource management system, including:

[0010] According to the verification module, it is used to verify the original ocean carbon sink data based on the first smart contract in the consortium blockchain network;

[0011] The certificate generation module is used to generate digital certificates for marine carbon sink resources based on the verified marine carbon sink data and store them in the marine carbon sink resource database.

[0012] The resource matching module is used to automatically match resource demanders and resource suppliers based on the digital certificates of marine carbon sink resources in the marine carbon sink resource database and the carbon sink quantity prediction data, through the second smart contract in the consortium blockchain network, and generate matching results.

[0013] The equity settlement module is used to execute the equity change of marine carbon sink resources through a third smart contract in the consortium blockchain network after the resource demander and the resource supplier jointly confirm the matching result.

[0014] A third aspect of this application provides an electronic device, including a memory and a processor, wherein the processor is used to execute a computer program stored in the memory, and when the processor executes the computer program, it implements the steps of the marine carbon sink resource management method described in the first aspect of the embodiments of this application.

[0015] The fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the marine carbon sink resource management method described in the first aspect of the embodiments of this application.

[0016] As described above, the embodiments of this application first verify the original marine carbon sink data based on a first smart contract in the consortium blockchain network. Then, based on the verified marine carbon sink data, digital certificates for marine carbon sink resources are generated and stored in the marine carbon sink resource database. Next, based on the digital certificates for marine carbon sink resources in the database and the predicted carbon sink amount, a second smart contract in the consortium blockchain network automatically matches the transaction needs of resource demanders and resource suppliers. Finally, after the transaction between the resource demanders and resource suppliers is completed, carbon credit delivery and fund settlement are executed through a third smart contract in the consortium blockchain network. The marine carbon sink resource management method proposed in this invention achieves fully automated and reliable processing from data verification to resource management through the collaboration of multiple smart contracts deployed on the consortium blockchain, effectively improving the efficiency and reliability of multi-party collaboration in marine carbon sink resource management.

[0017] It should be understood that the description in this section is not intended to identify key or important features of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0018] To more clearly illustrate the related technologies or the technical solutions in the embodiments of this application, the drawings used in the description of the related technologies or the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application, and not all embodiments. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the blockchain smart contract technology in the marine carbon sink resource management method provided in the embodiments of this application;

[0020] Figure 2 A schematic flowchart illustrating the marine carbon sink resource management method provided in this application embodiment;

[0021] Figure 3 A detailed flowchart illustrating the marine carbon sink resource management method provided in the embodiments of this application;

[0022] Figure 4 This is a schematic diagram of the program modules of the traffic monitoring monitor provided in the embodiments of this application;

[0023] Figure 5 A module block diagram of the electronic device provided in the embodiments of this application;

[0024] Figure 6 A block diagram of a computer-readable storage medium provided in an embodiment of this application. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this application more apparent and understandable, this application will be clearly and completely described below in conjunction with its embodiments and accompanying drawings. Throughout, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions. It should be understood that the various embodiments of this application described below are merely illustrative of this application and are not intended to limit this application. That is, all other embodiments obtained by those skilled in the art based on the various embodiments of this application without creative effort are within the scope of protection of this application. Furthermore, the technical features involved in the various embodiments of this application described below can be combined with each other as long as they do not conflict with each other.

[0026] Marine carbon sinks refer to the ability of marine ecosystems (such as mangroves, seagrass beds, and plankton) to absorb and store carbon dioxide from the atmosphere through mechanisms such as photosynthesis, biological carbon sequestration, and carbonate pumps. They represent a crucial natural solution to global climate change, and their trading mechanism is an important component of the carbon market. Currently, the global carbon trading market primarily relies on traditional centralized platforms for carbon credit registration, verification, and trading. However, on the one hand, traditional carbon sink data collection relies on manual or isolated systems, making it susceptible to tampering and lacking full lifecycle traceability, resulting in insufficient data credibility. Traditional centralized platforms also pose risks of opaque operations, and carbon credit delivery and fund settlement are inefficient due to manual processes. On the other hand, carbon sink trading often involves multiple stakeholders, including governments, research institutions, and environmental protection companies, leading to fragmented carbon data and weak privacy protection. Furthermore, the lack of standardized digital certificates for carbon sink ownership hinders resource circulation and financialization.

[0027] Among existing technologies, blockchain technology, due to its information sharing, decentralization, and disintermediation characteristics, coupled with its smart contract mechanism which aligns well with the modern business transaction process of negotiating and executing contracts, can effectively manage contracts for marine carbon sink energy and ensure their smooth execution. Therefore, blockchain has been attempted for carbon trading, but most applications are based on public or private blockchains. Public blockchains suffer from low efficiency and poor privacy, while private blockchains struggle to meet the needs of multi-party collaboration. Furthermore, data sharing often relies on plaintext transmission, lacking privacy protection technologies (such as federated learning), leading to the risk of sensitive information leakage.

[0028] To address the above issues, this application proposes a marine carbon sink resource management system based on a consortium blockchain. This system enables full lifecycle traceability, tamper-proofing, and multi-party collaboration of carbon sink data. It designs a user data information sharing mechanism, combining federated learning and smart contracts to ensure privacy during data sharing. The system also establishes standardized processes for the confirmation, verification, and trading of marine carbon sink resources, thereby enhancing the transparency and trustworthiness of resource data.

[0029] This invention utilizes blockchain technology in its consortium blockchain network. A consortium blockchain lies between private and public blockchains; it is a permissioned blockchain requiring registration, limiting read and write access to the ledger to authorized members within the consortium. The roles and functions of nodes in the network are pre-defined, and consensus, operation, and access are controlled by these pre-defined nodes. Generally, consortium blockchains are suitable for cross-institutional transactions, settlements, collaborative work, and evidence storage. After a transaction is completed, all participants on the blockchain verify it. Once all participants reach a consensus, the transaction information is stamped with a timestamp indicating the order in which the transactions occurred. This timestamp function ensures the traceability of transactions. The application of blockchain technology addresses the pain point of high credit risk in traditional transactions, improving transaction security. Simultaneously, each participant in the blockchain has a complete ledger, providing a unique advantage in reconciliation, reducing reconciliation costs and improving settlement efficiency. The product uses decentralized, trustless, and timestamped blockchain technology as the underlying technology of the platform architecture, making all transaction information open, transparent, and tamper-proof, significantly reducing operational and credit risks and making transactions more secure.

[0030] Blockchain systems are generally classified into public blockchains, consortium blockchains, and private blockchains, depending on their application scenarios and design architecture. In a public blockchain, nodes can freely join and leave the network and participate in reading and writing on-chain data. They operate with a flat topology and interconnectivity, without any centralized server nodes. In a private blockchain, write permissions for each node are centrally controlled, while read permissions can be selectively granted to external users based on needs. Private blockchains still possess the general structure for multi-node blockchain operation and are suitable for internal data management and auditing within specific organizations.

[0031] Energy storage information for marine carbon sink energy is particularly important. Furthermore, information on the production and storage of traditional energy sources is closely related to information on marine carbon sink energy. By uploading information on the production and storage of traditional energy sources to the blockchain system, and also through enterprises and related business platforms, a decentralized blockchain information sharing model is established to create a real-time, comprehensive regional energy information and energy storage information platform. Blockchain technology, with its decentralized, trustless, and timestamped characteristics, serves as the underlying technology for the platform architecture, ensuring that all relevant information is open, transparent, and tamper-proof, significantly reducing operational and credit risks and making online information sharing more secure.

[0032] Meanwhile, this application utilizes blockchain smart contract technology, such as... Figure 1As shown, machine learning is used to analyze energy storage information and understand its changing trends. Information is shared, and machine learning model training tasks are published on the blockchain in the form of smart contracts. The project will deploy a task management smart contract to record and manage all published task smart contracts. Running nodes will obtain the published task smart contracts from the task management smart contract. Through the API provided by the smart contract, nodes can read the task list and choose to participate in training tasks of interest. The published task smart contract will specify the model computation graph, training dataset, test dataset, and accuracy requirements. Considering that smart contracts are not suitable for storing large files, the data files will be stored in a centralized or decentralized file system, and the smart contract will store their hash values ​​and retrieval paths.

[0033] Furthermore, this application applies federated learning and transfer learning methods to establish a data sharing mechanism and platform system through the sharing mechanism of blockchain without compromising privacy protection. Federated learning and transfer learning are machine learning paradigms whose algorithms can extract knowledge from one or more application scenarios to help improve learning performance in the target scenario. The concept of federated learning and transfer learning in the application of intelligent data resources aims to enable computers to transfer knowledge and methods learned in the field of big data to fields lacking publicly available data. Compared with traditional machine learning techniques that require a large amount of carefully prepared training data as input, transfer learning can be understood as a new learning paradigm.

[0034] The difference between federated learning and distributed AI / federated databases lies in the following: While the data formats, distributions, and representations of the former were similar, in federated learning, they can be heterogeneous. Furthermore, while federated databases previously aimed for parallel computing and increased efficiency, the data now belongs to different owners, necessitating privacy-preserving computations under encryption. In addition, with increasing emphasis on privacy and stricter government legislation and regulation of technology, federated learning offers a new technological approach to privacy protection. The development of the artificial intelligence industry is primarily based on machine learning technology and cannot progress independently of data. Federated learning excels at addressing the problem of insufficient internal data and can support the development of AI companies.

[0035] In summary, this application provides a method for managing marine carbon sink resources. For details, please refer to [link / reference needed]. Figure 2 , Figure 2 This is a flowchart illustrating the marine carbon sink resource management method provided in an embodiment of this application. The marine carbon sink resource management method includes the following steps 201 to 204.

[0036] Step 201: Verify the original ocean carbon sink data based on the first smart contract in the consortium blockchain network.

[0037] Specifically, the measurement and verification of traditional carbon sinks rely on manual or isolated systems, making the data susceptible to tampering. The authenticity of various carbon sink measurement data is difficult to guarantee, and full lifecycle traceability is impossible. In this application, the first smart contract in the consortium blockchain network is introduced to verify the original marine carbon sink data. The first smart contract in this application embodiment is also called the carbon sink verification contract. It can automatically verify the authenticity of various original marine carbon sink data, generate a unique hash value and store it on the blockchain, so as to realize full lifecycle traceability, tamper-proof and multi-party collaboration of carbon sink data.

[0038] In this embodiment of the application, the step of verifying the original marine carbon sink data based on the first smart contract in the consortium blockchain network includes: acquiring the first original marine carbon sink data in a preset area through satellite remote sensing; acquiring the second original marine carbon sink data in the preset area through ground IoT sensors; acquiring the trained carbon sink prediction model from the first smart contract in the consortium blockchain network; and inputting the first and second original marine carbon sink data into the trained carbon sink prediction model for multi-source data cross-verification.

[0039] Specifically, this application uses IoT devices and satellite remote sensing to collect marine carbon sink data, and combines multiple sources of raw marine carbon sink data to predict and evaluate the carbon sink value in a preset area. First, the first raw marine carbon sink data in the preset area is acquired through satellite remote sensing, and the second raw marine carbon sink data in the preset area is acquired through ground-based IoT sensors. Then, a trained carbon sink prediction model is obtained through a first smart contract. Finally, the first and second raw marine carbon sink data are input into the model for multi-source data cross-verification to obtain the final predicted carbon sink value in the preset area.

[0040] In detail, the initial raw marine carbon sink data acquired by satellite remote sensing includes at least macro-ecological distribution data, carbon sink potential assessment data, and temporal data. Macro-ecological distribution data describes the coverage and spatial distribution of mangroves and seagrass beds in the pre-defined area, the phytoplankton biomass in the pre-defined area, and some geographic characteristic parameters. Carbon sink potential assessment data evaluates the potential changing trend of carbon sink levels in the pre-defined area and is used to optimize and guide the predicted carbon sink values ​​in the pre-defined area after a certain period. Temporal data is used to timestamp the collected data, improving data reliability and facilitating the assessment of the changing trend of carbon sink levels in the pre-defined area over time.

[0041] Understandably, carbon sink data collected via satellite remote sensing can cover global or regional ocean areas, offering broad coverage and suitability for long-term trend analysis. However, satellite remote sensing has a low acquisition frequency and relies heavily on satellite resources. Therefore, this application utilizes ground-based IoT devices to collect second-generation primary marine carbon sink data. This second-generation primary marine carbon sink data includes at least physical environment data, biological community data, and carbon flux data. Physical environment data includes water quality parameters such as current seawater temperature, salinity, dissolved oxygen concentration, and pH, as well as specific hydrological data such as tides and ocean currents, and some specific geological data. Biological community data includes real-time growth status data such as mangrove and seagrass plant density, growth height, and root distribution, and population density, distribution, and biomass data of plankton. Carbon flux data includes the rate of carbon absorption by the ecosystem, such as the amount of carbon fixed by photosynthesis, and the rate of carbon release, such as the respiration of organisms. IoT devices are suitable for monitoring short-term changes and supporting real-time monitoring and early warning, while data collected by satellite remote sensing can be used for long-term carbon sequestration rights confirmation and trading. Through the synergy of these two types of data, the accuracy and credibility of carbon sequestration verification can be effectively ensured.

[0042] Furthermore, in this embodiment of the application, before the step of obtaining the carbon sink prediction model trained by federated learning based on the first smart contract in the consortium blockchain network, the method further includes: training the first carbon sink prediction model of each node based on the original ocean carbon sink data stored locally by each node in the consortium blockchain network, and obtaining the first parameters; training the second carbon sink prediction model of each node based on the ocean carbon sink data shared by each node in the consortium blockchain network on the chain, and obtaining the second parameters; encrypting each of the first parameters and each of the second parameters and uploading them to the federated learning platform, and training the original carbon sink prediction model based on each of the first parameters and each of the second parameters to obtain the trained carbon sink prediction model; and obtaining the trained carbon sink prediction model based on the first smart contract in the consortium blockchain network.

[0043] Specifically, in the marine carbon sink trading system of this application, a high-precision carbon sink prediction model is trained using a combination of horizontal and vertical federated learning with multi-source data. The first carbon sink prediction model for each node is trained based on the raw marine carbon sink data stored locally by each node in the consortium blockchain network, and the first parameters are obtained. That is, each node (such as environmental protection agencies or research institutions) independently trains its first carbon sink prediction model based on locally stored raw marine carbon sink data (such as mangrove carbon sequestration and phytoplankton biomass), generating the first parameters (such as model gradients or weights). The second carbon sink prediction model for each node is trained based on the marine carbon sink data shared by each node on the blockchain, and the second parameters are obtained. That is, based on shared on-chain data, each node trains its second carbon sink prediction model, extracts the second parameters (such as feature binning statistics or intermediate gradients), and protects data privacy using homomorphic encryption (HE) technology. The first and second parameters are then encrypted and uploaded to the federated learning platform. The platform aggregates parameters from multiple sources and optimizes the original carbon sink prediction model using a weighted average or ensemble learning algorithm, generating a high-precision global model. The hash values ​​of the trained model parameters are stored as evidence through a consortium blockchain smart contract, allowing the carbon sink verification contract to call them in real time and supporting dynamic verification of data authenticity. It is understandable that the use of homomorphic encryption and differential privacy technology in federated learning ensures that data is "usable but not visible," protecting the privacy of the original data. The original data is not accessed; only parameters such as encryption gradients are shared. User data sharing also requires authorization through multi-party secure computation (MPC), with permissions recorded in the smart contract, ensuring data privacy and security.

[0044] Step 202: Generate digital certificates for marine carbon sink resources based on the verified marine carbon sink data and store them in the marine carbon sink resource database.

[0045] Specifically, after obtaining certified marine carbon sink data, it is necessary to transform the data into distributable and traceable digital resources, converting physical marine carbon sinks into digital resources on a consortium blockchain. On the one hand, digital certificates for marine carbon sink resources can clarify resource ownership, identifying the ownership entity (natural persons and legal persons) or temporary management agency (such as a regulatory department in the absence of ownership). On the other hand, generating standardized digital certificates can provide a reliable carrier for future resource allocation, settlement, and delivery, and enable full lifecycle traceability of resources through database certificate storage. The digital certificate for marine carbon sink resources must include at least the core information such as carbon sink type (mangroves, seagrass beds, etc.), carbon sink volume, geographical coordinates, certification agency, and certification time.

[0046] In this embodiment of the application, before the step of generating digital certificates for marine carbon sink resources based on verified marine carbon sink data, the method further includes: generating a corresponding hash value based on the verified marine carbon sink data; constructing a Merkle tree structure based on the hash value, and binding the root hash in the Merkle tree structure with the corresponding timestamp; and storing the hash value on the blockchain through the bound Merkle tree structure.

[0047] Specifically, directly storing raw ocean carbon sink data consumes a huge amount of memory, and data verification requires traversing all transactions, significantly increasing time complexity. Therefore, to reduce on-chain storage costs while ensuring data integrity, this application generates unique hash values ​​for verified ocean carbon sink data, ensuring data fingerprints are unique and sensitive information is anonymized. Multiple data hash values ​​are then constructed into a Merkle tree hierarchically, where leaf nodes are single data hashes and non-leaf nodes are recursively combined child node hashes, ultimately generating a unique root hash. The root hash allows for rapid verification of the integrity of any single data entry without traversing all data, significantly reducing verification complexity. Furthermore, the Merkle tree root hash is bound to an authoritative timestamp to prove the existence and integrity of the data at a specific point in time, and finally stored on-chain. It is understandable that any minor data modification, such as numerical adjustments or time tampering, will cause drastic changes in the hash value; therefore, this method also provides real-time tamper detection capabilities. By combining hash values ​​and Merkle tree structures with timestamps, the tamper-proof capability of data can be significantly improved, as well as the validity and credibility of the data. Furthermore, the root hash on the chain can serve as the core parameter of digital certificates, ensuring the ownership and confirmation of carbon sink resources.

[0048] Furthermore, in this embodiment of the application, the step of generating a digital certificate for marine carbon sink resources based on verified marine carbon sink data includes: querying the marine carbon sink resource database in the consortium blockchain network to see if there is an owner for the verified marine carbon sink data; if there is no owner, then using a smart contract to designate the corresponding regulatory agency as a temporary owner, and generating a digital certificate for marine carbon sink resources based on the verified marine carbon sink data; if there is an owner, then generating a digital certificate for marine carbon sink resources based on the owner's biometric information and the verified marine carbon sink data.

[0049] Specifically, the most crucial aspect of generating digital certificates for marine carbon sink resources is ensuring clear and credible ownership, thereby guaranteeing the legality and liquidity of these resources. Therefore, upon obtaining verified marine carbon sink data, the system first checks in real-time through the marine carbon sink resource database within the consortium blockchain network to determine if the verified data is already bound to an ownership entity. Leveraging the global ledger feature of blockchain, this ensures that the same carbon sink data can only be associated with one valid ownership entity, preventing duplicate registration or ownership disputes. If no ownership entity is found, the smart contract automatically sets the regulatory agency as the temporary ownership entity and generates a temporary digital certificate for marine carbon sink resources based on the verified data. This certificate will be marked with a "temporary ownership" status and the regulatory agency's digital signature, supporting subsequent ownership transfer and redistribution. If an ownership entity already exists for the verified data, the owner's identity must be verified using their biometric information. A biometric hash value is generated, and this hash value is doubly bound to the verified data hash value to create a unique digital certificate. Any subsequent changes in ownership require re-verification of the biometric information and updating the on-chain record.

[0050] Step 203: Based on the digital certificates of marine carbon sink resources and carbon sink volume prediction data in the marine carbon sink resource database, automatically match resource demanders and resource suppliers through the second smart contract in the consortium blockchain network and generate matching results.

[0051] In this embodiment, the step of automatically matching the transaction needs of resource demanders and resource suppliers through a second smart contract in a consortium blockchain network, based on digital certificates of marine carbon sink resources in the marine carbon sink resource database, includes: resource demanders submitting demand requests through the consortium blockchain; wherein the demand request includes at least the target marine carbon sink resource type, demand quantity, resource value parameter range, and demand validity period; resource suppliers submitting supply requests through the consortium blockchain network based on the marine carbon sink resource digital certificates they hold; wherein the supply request includes at least the hash value corresponding to the marine carbon sink resource digital certificate, the marine carbon sink resource type, supply quantity, resource value parameter, and supply validity period; and automatically matching resource demanders and resource suppliers through a second smart contract in the consortium blockchain network based on the demand and supply requests.

[0052] Specifically, resource demanders submit demand requests through the consortium blockchain, including the target resource type, required quantity, resource value parameter range, and validity period. After submission, the smart contract freezes the corresponding funds in the demander's account based on the maximum threshold within the resource value parameter range to ensure transaction fulfillment. This resource value parameter range is essentially the acceptable price range, and in subsequent matching, resource providers whose prices fall within this range will be prioritized. Resource suppliers submit supply requests through the consortium blockchain network based on their held marine carbon sink resource digital certificates. These requests include at least the hash value of the marine carbon sink resource digital certificate, the marine carbon sink resource type, supply quantity, value parameters, and validity period. Similarly, after submission, the smart contract locks the corresponding carbon sink resource to prevent duplicate transactions. Then, based on the demand and supply requests, a second smart contract within the consortium blockchain network automatically matches resource demanders and suppliers. This second smart contract, also known as the matching contract, automatically and efficiently matches resource demanders and suppliers using preset matching rules, including value priority and time priority, and can be fine-tuned according to actual conditions. In the transaction matching process, the second smart contract first scans the on-chain order pool to filter buy and sell requests that match the resource type and are within the validity period. Then, resource trading pairs are generated according to the matching rules, triggering on-chain notifications to the resource demander and the resource supplier. If both parties confirm, the delivery and settlement are executed; if one party refuses, the transaction re-enters the matching queue.

[0053] Step 204: After the resource demander and the resource supplier jointly confirm the matching result, the change of rights and interests of the marine carbon sink resources is executed through the third smart contract in the consortium blockchain network.

[0054] In this embodiment, after the resource demander and the resource supplier jointly confirm the matching result, the step of changing the rights and interests of marine carbon sink resources through a third smart contract in the consortium blockchain network includes: after the resource demander and the resource supplier jointly confirm the matching result, changing the ownership subject in the digital certificate of carbon sink resources from the resource supplier to the resource demander through a third smart contract in the consortium blockchain network, and recording the rights and interests based on the resource value parameters; generating a log based on the rights and interests change information, and synchronizing it to the full node after consensus verification; wherein, the rights and interests change information includes information on the resource demander and the resource supplier, ownership change information, resource value flow information, and transaction timestamp.

[0055] Specifically, once the resource demander and resource supplier jointly confirm the matching result, the third-party smart contract automatically updates the ownership field of the carbon sink resource digital certificate from the resource supplier to the resource demander, and performs equity accounting based on resource value parameters. This equity accounting includes recording transactions for both the resource demander and supplier based on resource value parameters, calculating the transaction amount in real time, and transferring the transaction funds from the resource demander's escrow account to the resource supplier's wallet after deducting preset network maintenance or intermediate processing fees. Simultaneously, a structured transaction log is generated based on the equity change information. This log includes information on the resource demander and supplier, carbon credit delivery information, resource value flow information, and transaction timestamps. The resource demander and supplier information is anonymous, protecting user privacy while meeting regulatory audit requirements. The carbon credit delivery information includes the type and quantity of the traded resource and the certificate hash. The resource value flow information, also known as the fund flow information, includes the transaction amount, fees, and payment token type. The timestamps use a global clock shared by the consortium blockchain network to ensure accuracy and consistency. Finally, after the transaction log is verified by the PBFT (Practical Byzantine Fault Tolerance) consensus mechanism, it is packaged into a new block and broadcast to all nodes to ensure ledger consistency.

[0056] As described above, the embodiments of this application first verify the original marine carbon sink data based on a first smart contract in the consortium blockchain network. Then, based on the verified marine carbon sink data, digital certificates of marine carbon sink resources are generated and stored in the marine carbon sink resource database. Next, based on the digital certificates of marine carbon sink resources and carbon sink prediction data in the marine carbon sink resource database, a second smart contract in the consortium blockchain network automatically matches resource demanders and resource suppliers, and generates a matching result. Finally, after the resource demanders and resource suppliers jointly confirm the matching result, a third smart contract in the consortium blockchain network executes the change of rights and interests in the marine carbon sink resources. The marine carbon sink resource management method proposed in this invention achieves trusted and automated processing of the entire process from data verification to resource management through the collaboration of multiple smart contracts deployed on the consortium blockchain. This ensures that carbon sink data is transparent and tamper-proof throughout the entire process from collection to transaction. It also supports rapid consensus across institutions, reduces the cost of multi-party collaboration, and, through federated learning and encryption technology, balances data sharing and privacy protection, effectively improving the efficiency and credibility of multi-party collaboration in marine carbon sink resource management.

[0057] It should be understood that the sequence number of each step in this embodiment does not imply the order in which the steps are executed. The execution order of each step should be determined by its function and internal logic, and should not constitute a unique limitation on the implementation process of this application embodiment.

[0058] In summary, the detailed process of the marine carbon sink resource management method involved in the embodiments of this application can be found in [reference needed]. Figure 3 Specifically:

[0059] Step 301: Verify the original ocean carbon sink data based on the first smart contract in the consortium blockchain network;

[0060] Step 302: Generate the corresponding hash value based on the verified marine carbon sink data;

[0061] Step 303: Construct a Merkle tree structure based on the hash value, and bind the root hash in the Merkle tree structure to the corresponding timestamp;

[0062] Step 304: Store the hash value on the chain using the bound Merkle tree structure;

[0063] Step 305: Generate digital certificates for marine carbon sink resources based on the verified marine carbon sink data and store them in the marine carbon sink resource database;

[0064] Step 306: Resource demanders submit demand requests through the consortium blockchain, and resource suppliers submit supply requests through the consortium blockchain network based on their digital certificates of marine carbon sink resources.

[0065] Step 307: Based on demand and supply requests, automatically match resource demanders and resource suppliers through the second smart contract in the consortium blockchain network and generate matching results;

[0066] Step 308: After the resource demander and the resource supplier jointly confirm the matching result, the ownership subject in the carbon sink resource digital certificate is changed from the resource supplier to the resource demander through the third smart contract in the consortium blockchain network, and the rights are recorded based on the resource value parameters.

[0067] Step 309: Generate logs based on equity change information and synchronize them to all nodes after consensus verification.

[0068] For a more detailed process of each step in steps 301 to 309, please refer to the relevant sections shown above. The embodiments of this application will not be repeated here.

[0069] Please see Figure 4 , Figure 4 A marine carbon sink resource management system is provided for embodiments of this application. This system can be used to implement the marine carbon sink resource management method involved in embodiments of this application. The marine carbon sink resource management system 400 mainly includes:

[0070] Data verification module 401 is used to verify the original ocean carbon sink data based on the first smart contract in the consortium blockchain network;

[0071] The certificate generation module 402 is used to generate digital certificates for marine carbon sink resources based on the verified marine carbon sink data and store them in the marine carbon sink resource database.

[0072] The resource matching module 403 is used to automatically match resource demanders and resource suppliers based on digital certificates of marine carbon sink resources and carbon sink quantity prediction data in the marine carbon sink resource database through the second smart contract in the consortium blockchain network, and generate matching results.

[0073] The equity settlement module 404 is used to execute the equity change of marine carbon sink resources through a third smart contract in the consortium blockchain network after the resource demander and the resource supplier jointly confirm the matching result.

[0074] In some embodiments of this example, when the data verification module 401 performs the function of verifying the original marine carbon sink data based on the first smart contract in the consortium blockchain network, it is used to: acquire the first original marine carbon sink data in a preset area through satellite remote sensing; acquire the second original marine carbon sink data in the preset area through ground IoT sensors; acquire the trained carbon sink prediction model based on the first smart contract in the consortium blockchain network; and input the first and second original marine carbon sink data into the trained carbon sink prediction model for multi-source data cross-verification.

[0075] Furthermore, in some embodiments of this example, a training module is also included. Before the data verification module 401 executes the function of obtaining the carbon sink prediction model trained by federated learning based on the first smart contract in the consortium blockchain network, the training module is used to: train the first carbon sink prediction model of each node based on the original ocean carbon sink data stored locally by each node in the consortium blockchain network and obtain the first parameters; train the second carbon sink prediction model of each node based on the ocean carbon sink data shared by each node in the consortium blockchain network on the chain and obtain the second parameters; encrypt each of the first parameters and each of the second parameters and upload them to the federated learning platform, and train the original carbon sink prediction model based on each of the first parameters and each of the second parameters to obtain the trained carbon sink prediction model; and obtain the trained carbon sink prediction model based on the first smart contract in the consortium blockchain network.

[0076] In some embodiments of this example, a generation module is also included. Before the certificate generation module 402 performs the function of generating digital certificates for marine carbon sink resources based on the verified marine carbon sink data, the generation module is used to: generate a corresponding hash value based on the verified marine carbon sink data; construct a Merkle tree structure based on the hash value and bind the root hash in the Merkle tree structure to the corresponding timestamp; and store the hash value on the blockchain through the bound Merkle tree structure.

[0077] In some embodiments of this example, when the certificate generation module 402 performs the function of generating digital certificates for marine carbon sink resources based on verified marine carbon sink data, it is used to: query the marine carbon sink resource database in the consortium blockchain network to see if there is an owner for the verified marine carbon sink data; if there is no owner, then use a smart contract to designate the corresponding regulatory agency as a temporary owner, and generate digital certificates for marine carbon sink resources based on the verified marine carbon sink data; if there is an owner, then generate digital certificates for marine carbon sink resources based on the owner's biometric information and the verified marine carbon sink data.

[0078] Furthermore, in some embodiments of this application, when the resource matching module 403 executes the function of automatically matching the transaction needs of resource demanders and resource suppliers through a second smart contract in a consortium blockchain network based on digital certificates of marine carbon sink resources in the marine carbon sink resource database, it is specifically used for: resource demanders submitting demand requests through the consortium blockchain; wherein, the demand request includes at least the target marine carbon sink resource type, demand quantity, resource value parameter range, and demand validity period; resource suppliers submitting supply requests through the consortium blockchain network based on the digital certificates of marine carbon sink resources they hold; wherein, the supply request includes at least the hash value corresponding to the digital certificate of marine carbon sink resources and the marine carbon sink resource type, supply quantity, resource value parameter, and supply validity period; and automatically matching resource demanders and resource suppliers through a second smart contract in the consortium blockchain network based on the demand request and supply request.

[0079] In some implementations of this embodiment, when the equity settlement module 404 performs the function of carbon credit delivery and fund settlement through a third smart contract in the consortium blockchain network after a transaction between the resource demander and the resource supplier is completed, it is specifically used for: after a transaction between the resource demander and the resource supplier is completed, transferring the ownership subject in the carbon sink resource digital certificate from the resource supplier to the resource demander through a third smart contract in the consortium blockchain network, and transferring the transaction funds of the resource demander to the resource supplier's account after deducting transaction fees; generating transaction logs based on transaction information, and synchronizing them to all nodes after consensus verification; wherein, the transaction information includes information on the resource demander and the resource supplier, ownership change information, resource value information, and transaction timestamp.

[0080] In detail, each module in the marine carbon sink resource management system 400 provided in this embodiment of the invention adopts the same characteristics as described above when in use. Figure 1 The same technical means are used in the management of marine carbon sink resources, and the same technical effects can be achieved, so I will not go into details here.

[0081] Please see Figure 5 , Figure 5 A block diagram of an electronic device provided in an embodiment of this application.

[0082] like Figure 5 As shown, this application embodiment also provides an electronic device that can be used to implement the marine carbon sink resource management method in the foregoing embodiments. The electronic device includes a memory 501 and at least one processor 502. The memory 501 is used to store at least one program, and when the at least one program is executed by the at least one processor 502, the at least one processor 502 executes the marine carbon sink resource management method provided in this application embodiment.

[0083] Please see Figure 6 , Figure 6 A block diagram of a computer-readable storage medium provided in an embodiment of this application.

[0084] like Figure 6 As shown, this application embodiment also provides a computer-readable storage medium 600, on which an executable instruction 610 is stored. When the executable instruction 610 is executed, it performs the marine carbon sink resource management method provided in this application embodiment.

[0085] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0086] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk).

[0087] It should be noted that the various embodiments in this application are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For product-related embodiments, since they are similar to method-related embodiments, the descriptions are relatively simple, and relevant parts can be referred to the descriptions of the method-related embodiments.

[0088] It should also be noted that, in this application, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0089] The above description of the disclosed embodiments enables those skilled in the art to implement or use the content of this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined in this application may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for managing marine carbon sink resources based on consortium blockchains, characterized in that, include: The original ocean carbon sink data is verified based on the first smart contract in the consortium blockchain network; Digital certificates for marine carbon sink resources are generated based on the verified marine carbon sink data and stored in the marine carbon sink resource database. Based on the marine carbon sink resource digital certificates in the marine carbon sink resource database and the carbon sink volume prediction data, the resource demanders and resource suppliers are automatically matched through the second smart contract in the consortium blockchain network, and a matching result is generated. Once the resource demander and the resource supplier jointly confirm the matching result, the equity transfer of the marine carbon sink resources is executed through a third smart contract in the consortium blockchain network.

2. The marine carbon sink resource management method according to claim 1, characterized in that, The steps for verifying the raw ocean carbon sink data based on the first smart contract in the consortium blockchain network include: Acquire the first raw ocean carbon sink data in the preset area using satellite remote sensing; Secondary raw marine carbon sink data in the preset area are acquired through ground-based IoT sensors; The carbon sink prediction model is obtained based on the first smart contract in the consortium blockchain network after training. The first and second original marine carbon sink data are input into the trained carbon sink prediction model for multi-source data cross-verification.

3. The marine carbon sink resource management method according to claim 2, characterized in that, Before the step of obtaining the carbon sink prediction model trained through federated learning based on the first smart contract in the consortium blockchain network, the method further includes: The first carbon sink prediction model of each node is trained based on the original marine carbon sink data stored locally in each node of the consortium blockchain network, and the first parameters are obtained. The second carbon sink prediction model for each node is trained based on the ocean carbon sink data shared by each node in the consortium blockchain network and the second parameters are obtained. Each of the first parameters and each of the second parameters is encrypted and then uploaded to the federated learning platform. The original carbon sink prediction model is trained based on each of the first parameters and each of the second parameters to obtain the trained carbon sink prediction model. The trained carbon sink prediction model is obtained based on the first smart contract in the consortium blockchain network.

4. The marine carbon sink resource management method according to claim 1, characterized in that, Before the step of generating digital certificates for marine carbon sink resources based on the verified marine carbon sink data, the method further includes: Generate corresponding hash values ​​based on the verified marine carbon sink data; A Merkle tree structure is constructed based on the hash value, and the root hash in the Merkle tree structure is bound to the corresponding timestamp; The hash value is stored on the chain through a bound Merkle tree structure.

5. The marine carbon sink resource management method according to claim 1, characterized in that, The step of generating digital certificates for marine carbon sink resources based on the verified marine carbon sink data includes: The marine carbon sink resource database in the consortium blockchain network is used to query whether the verified marine carbon sink data has an ownership entity; If no ownership entity exists, the corresponding regulatory agency will be designated as the temporary ownership entity through a smart contract, and a digital certificate for marine carbon sink resources will be generated based on the verified marine carbon sink data. If an owner exists, a digital certificate for marine carbon sink resources is generated based on the owner's biometric information and the verified marine carbon sink data.

6. The marine carbon sink resource management method according to claim 1, characterized in that, The step of automatically matching the transaction needs of resource demanders and suppliers through a second smart contract in the consortium blockchain network, based on the marine carbon sink resource digital certificate in the marine carbon sink resource database, includes: Resource demanders submit demand requests through the consortium blockchain; wherein, the demand request includes at least the target marine carbon sink resource type, the demand amount, the resource value parameter range, and the demand validity period; Resource suppliers submit supply requests through the consortium blockchain network based on the digital certificates they hold for marine carbon sink resources; wherein, the supply request includes at least the hash value corresponding to the digital certificate for marine carbon sink resources, the type of marine carbon sink resources, the supply quantity, the resource value parameters, and the supply validity period; Based on the demand request and the supply request, the resource demander and the resource supplier are automatically matched through the second smart contract in the consortium blockchain network.

7. The marine carbon sink resource management method according to claim 6, characterized in that, The step of executing the transfer of rights to marine carbon sink resources through a third smart contract in the consortium blockchain network after the resource demander and the resource supplier jointly confirm the matching result includes: Once the resource demander and the resource supplier jointly confirm the matching result, the ownership entity in the carbon sink resource digital certificate is changed from the resource supplier to the resource demander through a third smart contract in the consortium blockchain network, and the rights are recorded based on the resource value parameters. Logs are generated based on equity change information and synchronized to all nodes after consensus verification; wherein, the equity change information includes information on resource demanders and resource suppliers, ownership change information, resource value stream information, and transaction timestamps.

8. A marine carbon sink resource management system, characterized in that, include: The data verification module is used to verify the original ocean carbon sink data based on the first smart contract in the consortium blockchain network; The certificate generation module is used to generate digital certificates for marine carbon sink resources based on the verified marine carbon sink data and store them in the marine carbon sink resource database. The resource matching module is used to automatically match resource demanders and resource suppliers based on the digital certificates of marine carbon sink resources in the marine carbon sink resource database and the carbon sink quantity prediction data, through the second smart contract in the consortium blockchain network, and generate matching results. The equity settlement module is used to execute the equity change of marine carbon sink resources through a third smart contract in the consortium blockchain network after the resource demander and the resource supplier jointly confirm the matching result.

9. An electronic device, characterized in that, Includes memory and processor, of which: The processor is used to execute computer programs stored in the memory; When the processor executes the computer program, it implements the steps in the marine carbon sink resource management method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps in the marine carbon sink resource management method according to any one of claims 1 to 7.

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