A cross-park asset digital management and authentication system based on blockchain

Abstract

The present invention discloses a cross-park asset digital management and authentication system based on blockchain, which relates to the technical field of enterprise digital management systems. The cross-park asset digital management and authentication system based on blockchain includes: a system initialization and deployment module, an asset digitization and registration module, a cross-park asset transfer module, a collaborative authentication and data verification module, and a system maintenance and expansion module. By deploying blockchain nodes for each park and configuring cross-chain relays, rapid verification of asset ownership and data synchronization are achieved. At the same time, smart contracts are used to automate the asset management process, reducing manual intervention and improving the level of system automation. Asset data is directly collected and uploaded to the blockchain using Internet of Things devices, reducing intermediate links and improving the efficiency of data collection and transmission. At the same time, zero-knowledge proof technology is used to ensure privacy during the cross-park data verification process, protecting sensitive information of asset data.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise digital management systems, and specifically to a cross-park asset digital management and authentication system based on blockchain. Background Art

[0002] Currently, cross-park asset management primarily relies on centralized databases or traditional distributed systems. Asset information is scattered across independent platforms within each park, lacking a unified authentication mechanism. Furthermore, due to the independence of each park's systems, asset transfers require manual verification, which is inefficient and prone to errors. Furthermore, cross-park transactions require third-party authentication, making the process complex, costly, and prone to data leaks.

[0003] And as disclosed in publication number CN105427035A, an RFID-based asset management system is characterized in that it includes an identification module, a transmission network and a management module; the identification module includes a data acquisition unit and an application system unit, the application system unit includes a hardware system and a data terminal, and the application system unit is connected to the management module through a transmission module; the data acquisition unit includes an RFID reader, an antenna and an RFID tag; the network transmission module includes wireless transmission and wired transmission.

[0004] As shown in the above existing technologies, existing technologies usually track assets through IoT devices, but data storage relies on central servers and is susceptible to tampering. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a cross-park asset digital management and authentication system based on blockchain, which solves the problems raised above.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a blockchain-based cross-park asset digital management and authentication system, comprising:

[0007] System initialization and deployment module: Deploy blockchain nodes for each park to form a consortium chain network; configure cross-chain relays to enable asset ownership verification and data synchronization between different park chains; design smart contracts based on asset management needs, write and test the code, and deploy them to the consortium chain for use by nodes in each park; equip each park's physical assets with IoT devices to collect asset data, and develop direct communication protocols between devices;

[0008] Asset digitization and registration module: Utilizes IoT devices to collect detailed information on physical assets, performs data cleaning and preprocessing, generates a unique digital fingerprint from the processed asset data using a hash algorithm, invokes smart contracts, binds the hash value to asset ownership information, and writes it into the blockchain to generate an NFT identifier;

[0009] Cross-park asset transfer module: This module processes cross-park asset transfer transaction requests, including the initiation of transaction requests, verification and execution of smart contracts, and cross-chain data synchronization and updates. Smart contract verification and execution utilize parallel verification technology, distributing smart contract verification tasks to multiple nodes for parallel execution. Automatic verification triggers cross-chain data for asynchronous data synchronization, and the synchronization process automatically calculates priorities and detects early warnings.

[0010] Collaborative authentication and data verification module: During the cross-park data verification process, zero-knowledge proof technology is used to ensure the privacy of asset data and establish a trust and collaboration mechanism among parks.

[0011] Preferably, the steps of deploying blockchain nodes in the system initialization and deployment module to form a consortium chain network specifically include: determining the number n of parks participating in cross-park asset management, selecting a blockchain platform, using Docker containerization technology to deploy blockchain nodes for each park to form a consortium chain network, packaging the nodes and dependent environments into container images, and using Kubernetes container orchestration tools to manage and schedule the containers; introducing a dynamic node adjustment algorithm based on system load L and performance requirements to monitor the system load in real time; when the system load is too high, that is, L>L max When the number of nodes is automatically increased, where L max is the preset minimum load threshold of the system, and the increase is ΔN, ΔN= f(LL max ), f is the growth function, or the node configuration is improved; when the system load is low, that is, L < L min When the number of nodes is automatically reduced, where L min is the preset minimum load threshold, and the reduction is ΔN', ΔN'=g(L min - L), g is the reduction function, or the reduction of node configuration.

[0012] Preferably, the system initialization and deployment module operation further includes: designing smart contracts according to asset management requirements, including asset registration, transfer, and query functions; writing smart contract code, and using smart contract automated testing tools to write comprehensive test cases to test the functionality, performance, and security of the smart contract; deploying the smart contract on the alliance chain for invocation by nodes in each park;

[0013] Each park's physical assets are equipped with IoT devices to collect asset data; IoT devices are equipped with blockchain light node functions so that the devices can directly package the collected data into transactions and upload them to the chain. Based on the distributed characteristics of blockchain, a direct communication protocol between devices is developed.

[0014] Preferably, the asset digitization and registration module operations specifically include:

[0015] A1 Asset Information Collection: Use IoT devices to collect detailed information about physical assets, including model, location, and ownership; clean and pre-process the collected data;

[0016] A2 Asset Digitization and Chaining: The processed asset data is processed through a hash algorithm to generate a unique digital fingerprint; the smart contract is called to bind the hash value with the asset ownership information and write it into the blockchain to generate an NFT identifier; the NFT identifier is stored on the blockchain for query and verification by each park node.

[0017] Preferably, the operations of the cross-park asset transfer module specifically include:

[0018] B1 Transaction Request Initiation: The asset owner initiates an asset transfer transaction request on the user interface, specifying the target park and transfer conditions;

[0019] B2 Smart Contract Verification and Execution: After receiving a transaction request, the smart contract verifies the digital signatures of both parties and the permissions of the target campus node. Using parallel verification technology, the smart contract verification task is distributed to multiple nodes for parallel execution. At the same time, the verification results are summarized and compared. If the verification passes, the smart contract automatically updates the asset ownership record and triggers a cross-chain relay for data synchronization.

[0020] B3 Cross-chain data synchronization and update: The cross-chain relay synchronizes ownership change information to the target park chain; the target park chain receives and updates NFT ownership information to complete asset transfer.

[0021] Preferably, the data synchronization adopts asynchronous data synchronization technology, putting cross-chain data synchronization tasks into the background for execution, and at the same time, prioritizing the synchronization tasks based on urgency and data volume;

[0022] Establish a monitoring and early warning mechanism for cross-chain data synchronization, monitor the synchronization status in real time, including synchronization progress and synchronization success rate indicators, and set safety thresholds. When the synchronization progress and synchronization success rate exceed the safety threshold, it indicates that the synchronization is abnormal, and an early warning notification will be automatically triggered, and the abnormal information will be recorded.

[0023] Preferably, the collaborative authentication and data verification module operations specifically include:

[0024] C1 Data Verification under Privacy Protection: During cross-park data verification, zero-knowledge proof technology is used to ensure the privacy of asset data. Each park node verifies the authenticity and legitimacy of asset data by verifying the zero-knowledge proof without exposing the original data.

[0025] Establishment of a C2 trust coordination mechanism: Based on the tamper-proof nature of blockchain, a trust coordination mechanism is established among various parks. A credit rating system is used to evaluate and manage the credit of each park. The credit rating is determined based on the park's historical transaction records, data quality, and compliance status. Different permissions and transaction rules are set for parks with different credit ratings. The data of each park node is regularly audited and verified to ensure data consistency and accuracy.

[0026] Preferably, a comprehensive credit score is calculated by comprehensively considering the park's historical transaction records, data quality, and compliance factors, and assigning corresponding weights. The formula is:

[0027] Credit score = ω1 × historical transaction record score + ω2 × data quality score + ω3 × compliance score;

[0028] Among them, ω1, ω2, and ω3 are the weights of historical transaction records, data quality, and compliance, respectively. They are adjusted according to actual needs and business scenarios, and ω1+ω2+ω3=1;

[0029] Historical transaction record scoring: Scoring is based on the park's transaction frequency, transaction amount, and transaction success rate indicators;

[0030] Data quality scoring: Scoring is based on the accuracy, completeness, and timeliness of the data uploaded to the blockchain by the park;

[0031] Compliance score: Scores are given based on whether the park complies with relevant laws and regulations, follows industry norms, and actively cooperates with supervision.

[0032] Preferably, the system further includes a system maintenance and expansion module, and the operations of the system maintenance and expansion module for performing node monitoring and maintenance specifically include:

[0033] Automated monitoring tools: Use automated monitoring tools and technologies to monitor node operation status, resource usage, and network connection status indicators in real time. At the same time, set monitoring thresholds. When indicators exceed the thresholds, early warning notifications are automatically triggered.

[0034] Rapid response and recovery mechanism: Establish a rapid response and recovery mechanism for node failures. When a node fails, failover or node restart is automatically triggered. At the same time, the cause of the failure is analyzed and recorded.

[0035] AI intelligent analysis and prediction: Establish an AI analysis model based on automated monitoring tools and rapid response and recovery mechanisms, record historical data, and conduct intelligent analysis and prediction of the system.

[0036] Preferably, the performance monitoring and expansion operations performed by the system maintenance and expansion module specifically include:

[0037] Performance monitoring and analysis: Use performance analysis tools to locate hot code and slow queries in the system and perform targeted optimization. At the same time, regularly evaluate and report on system performance and generate evaluation report files.

[0038] Distributed deployment and expansion: Distribute and expand the system, and assign system tasks to multiple computing nodes for processing; specifically: assign data processing tasks of IoT devices to edge computing nodes; assign storage and computing tasks of blockchain nodes to cloud computing nodes.

[0039] This invention provides a blockchain-based cross-park asset digital management and authentication system. Compared with existing technologies, it has the following advantages:

[0040] 1. This blockchain-based cross-park asset digital management and authentication system deploys blockchain nodes for each park and configures cross-chain relays, enabling rapid verification of asset ownership and data synchronization. It also utilizes smart contracts to automate the asset management process, reducing manual intervention and improving system automation. IoT devices are used to directly collect asset data and upload it to the blockchain, reducing intermediaries and improving the efficiency of data collection and transmission. Zero-knowledge proof technology ensures privacy during cross-park data verification and protects sensitive asset data. Parallel verification and asynchronous data synchronization technologies enhance system processing power and response speed. Furthermore, a system maintenance and expansion module has been established to enable real-time node monitoring and maintenance, as well as system performance monitoring and expansion, ensuring system stability and scalability.

[0041] 2. This blockchain-based cross-park asset digital management and authentication system introduces a dynamic node adjustment algorithm based on system load to monitor and adjust the number or configuration of nodes in real time to optimize system performance and resource utilization, ensuring stable operation of the system under high or low load conditions. It designs and deploys smart contracts that include asset registration, transfer, and query functions, and conducts comprehensive testing through automated testing tools, enabling seamless contract upgrades without interrupting business, reducing manual intervention, and improving the level of system automation. Each park's physical assets are equipped with IoT devices and given blockchain light node functions, so that device data can be directly packaged into transactions and uploaded to the chain, reducing intermediate links, improving the efficiency of data collection and transmission, and reducing data transmission delays.

[0042] 3. This blockchain-based cross-park asset digital management and authentication system collects detailed information about physical assets through IoT devices and performs cleaning and pre-processing to ensure data accuracy and integrity. Furthermore, a hash algorithm is used to generate a unique digital fingerprint, which is then linked to the asset ownership information on the chain to generate an NFT identifier, enabling the digitization and precise management of assets. After an asset transfer transaction request is initiated, the smart contract uses parallel verification technology to increase verification speed and ensure the accuracy and consistency of the verification results. If verification passes, the asset ownership record is automatically updated and a cross-chain relay is triggered for data synchronization, achieving efficient cross-park asset transfers. Asynchronous data synchronization technology is used to reduce the impact on system performance and prioritize synchronization tasks to ensure the timely synchronization of important data. Furthermore, a monitoring and early warning mechanism is established to monitor synchronization status in real time, improving the reliability and efficiency of data synchronization.

[0043] 4. This blockchain-based cross-park asset digital management and authentication system uses zero-knowledge proof technology to ensure the privacy of asset data. Each park node can verify the authenticity and legality of the data by verifying the zero-knowledge proof without exposing the original data, thereby improving data security. Based on the tamper-proof nature of blockchain, a trust coordination mechanism is established, and a credit rating system is used to conduct credit assessment and management of each park, determine the credit level, and set different permissions and transaction rules for parks with different credit levels, thereby enhancing trust and cooperation between systems and ensuring the consistency and accuracy of data.

[0044] 5. This blockchain-based cross-park digital asset management and authentication system uses automated monitoring tools to monitor node status in real time, improving monitoring efficiency and accuracy. It also sets thresholds to automatically trigger alerts. A rapid response and recovery mechanism is established to automatically handle node failures, analyze and record the causes, and reduce downtime. Furthermore, AI technology is used to intelligently analyze and predict monitoring data, identifying potential problems in advance and taking preventive measures. Performance monitoring and analysis pinpoint bottlenecks and enable targeted optimization. Distributed deployment and expansion distribute tasks across multiple computing nodes, increasing processing power and scalability, reducing data transmission latency, and improving system performance and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a system module block diagram of the present invention;

[0046] Figure 2 It is the system logic framework diagram of the present invention. DETAILED DESCRIPTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0048] See Figure 1-Figure 2 The present invention discloses a cross-park asset digital management and authentication system based on blockchain, and provides the following five technical solutions:

[0049] The first implementation method includes:

[0050] System initialization and deployment module: Deploy blockchain nodes for each park to form a consortium chain network; configure cross-chain relays to enable asset ownership verification and data synchronization between different park chains; design smart contracts based on asset management needs, write and test the code, and deploy them to the consortium chain for use by nodes in each park; equip each park's physical assets with IoT devices to collect asset data, and develop direct communication protocols between devices;

[0051] Asset digitization and registration module: Utilizes IoT devices to collect detailed information on physical assets, performs data cleaning and preprocessing, generates a unique digital fingerprint from the processed asset data using a hash algorithm, invokes smart contracts, binds the hash value to asset ownership information, and writes it into the blockchain to generate an NFT identifier;

[0052] Cross-park asset transfer module: This module processes cross-park asset transfer transaction requests, including the initiation of transaction requests, verification and execution of smart contracts, and cross-chain data synchronization and updates. Smart contract verification and execution utilize parallel verification technology, distributing smart contract verification tasks to multiple nodes for parallel execution. Automatic verification triggers cross-chain data for asynchronous data synchronization, and the synchronization process automatically calculates priorities and detects early warnings.

[0053] Collaborative authentication and data verification module: During cross-park data verification, zero-knowledge proof technology is used to ensure the privacy of asset data and establish a trust and collaboration mechanism between parks;

[0054] System maintenance and expansion module: responsible for node monitoring and maintenance, as well as system performance monitoring and expansion.

[0055] By deploying blockchain nodes and configuring cross-chain relays for each park, rapid verification of asset ownership and data synchronization are achieved. Smart contracts are used to automate the asset management process, reducing manual intervention and improving system automation. IoT devices are used to directly collect asset data and upload it to the blockchain, reducing intermediaries and improving the efficiency of data collection and transmission. Zero-knowledge proof technology is also used to ensure privacy during cross-park data verification and protect sensitive asset data. Parallel verification and asynchronous data synchronization technologies enhance system processing power and response speed. Furthermore, a system maintenance and expansion module has been established to enable real-time node monitoring and maintenance, as well as system performance monitoring and expansion, ensuring system stability and scalability.

[0056] The second implementation mode mainly differs from the first implementation mode in that: the steps of deploying blockchain nodes in the system initialization and deployment module to form a consortium chain network specifically include: determining the number n of parks participating in cross-park asset management, selecting a blockchain platform (such as Hyperledger Fabric, Ethereum, etc., which needs to be selected according to specific business needs and technology stack), using Docker containerization technology to deploy blockchain nodes for each park to form a consortium chain network, packaging the nodes and dependent environments into container images (specifically including blockchain platform software, configuration files, certificates, etc.), and using Kubernetes container orchestration tools to manage and schedule containers (Kubernetes can realize automatic deployment, expansion and management of containers, improving system availability and scalability); introducing a dynamic node adjustment algorithm based on system load L (including transaction processing volume T, node response time R, etc.) and performance requirements to monitor the system load in real time; when the system load is too high, that is, L>L max When the number of nodes is automatically increased, where L max is the preset minimum load threshold of the system, and the increase is ΔN, ΔN=f(LL max ), f is the growth function (the growth function f is designed based on historical data analysis, such as linear growth, exponential growth, etc., to meet the node expansion requirements in different scenarios), or improve the node configuration (such as increasing CPU, memory and other hardware resources); when the system load is low, that is, L < L min When the number of nodes is automatically reduced, where L min is the preset minimum load threshold, and the reduction is ΔN', ΔN'=g(L min - L), g is a reduction function (the reduction function g is designed based on historical data analysis, such as linear reduction, proportional reduction, etc.), or node configuration is reduced to optimize system performance and resource utilization (L max and L minThe specific value should be set according to system performance testing and business requirements).

[0057] It also includes: designing smart contracts based on asset management needs, including asset registration, transfer, and query functions; smart contracts should define in detail the asset status, transaction rules, authority control, etc. (for example, asset status may include pending registration, registered, in circulation, and already transferred; transaction rules may include the conditions of both parties to the transaction, the calculation of transaction fees, etc.; authority control may include access rights and operation rights of different roles, etc.); writing smart contract code and using smart contract automation testing tools to write comprehensive test cases to test the functions, performance, and security of smart contracts. The test cases should cover various normal and abnormal situations (for example, asset registration, transfer, and query operations under normal circumstances; illegal access and malicious attacks under abnormal circumstances) to ensure the reliability and security of smart contracts; deploying smart contracts on the alliance chain for call by nodes in each park, and realizing seamless upgrades of contracts without interrupting business (for example, using grayscale release, blue-green deployment and other technical means), reducing manual intervention, and improving the level of system automation;

[0058] Each park's physical assets are equipped with IoT devices (such as RFID tags, sensors, etc.) to collect asset data; IoT devices are equipped with blockchain light node functions so that the devices can directly package the collected data into transactions and upload them to the chain, reducing intermediate links and improving the efficiency of data collection and transmission. Based on the distributed characteristics of blockchain, a direct communication protocol between devices is developed to achieve secure and reliable communication between devices and further reduce data transmission delays (the communication protocol between devices should include data format, transmission method, encryption algorithm, etc. to ensure data security and integrity).

[0059] By introducing a dynamic node adjustment algorithm based on system load, the number or configuration of nodes is monitored and adjusted in real time to optimize system performance and resource utilization, ensuring stable operation of the system under high or low load conditions; a smart contract with asset registration, transfer, and query functions is designed and deployed, and comprehensive testing is carried out through automated testing tools to achieve seamless contract upgrades without interrupting business, reduce manual intervention, and improve the level of system automation; each park's physical assets are equipped with IoT devices and given blockchain light node functions, so that device data can be directly packaged into transactions and uploaded to the chain, reducing intermediate links, improving the efficiency of data collection and transmission, and reducing data transmission delays.

[0060] The third embodiment differs from the first embodiment in that the asset digitization and registration module operations specifically include:

[0061] A1 Asset Information Collection: Use IoT devices to collect detailed information about physical assets, including model, location, and ownership. Clean and pre-process the collected data, including removing duplicate data, correcting erroneous data, and filling in missing data, to ensure data accuracy and completeness.

[0062] A2 Asset Digitization and Chaining: Processed asset data is hashed using a hashing algorithm to generate a unique digital fingerprint (hash value). A highly secure and computationally efficient hashing algorithm (e.g., SHA-256, SHA-3) should be used. A smart contract is then invoked to bind the hash value to the asset's ownership information and write it to the blockchain, generating an NFT (non-fungible token) identifier. The NFT identifier is stored on the blockchain for query and verification by various park nodes. For example, Park A adds a new device, collects device parameters via RFID, and generates a hash value, H1. The system invokes a smart contract to bind H1 to the ownership information, writes it to the blockchain, and generates an NFT token, ID#001. Other park nodes can verify the asset's authenticity by querying ID#001.

[0063] The operations of the cross-park asset transfer module specifically include:

[0064] B1 Transaction Request Initiation: The asset owner initiates an asset transfer transaction request on the user interface, specifying the target park and transfer conditions, such as transfer price and transfer period;

[0065] B2 Smart Contract Verification and Execution: After receiving a transaction request, the smart contract verifies the digital signatures of both parties and the permissions of the target campus node. Using parallel verification technology, the smart contract verification task is distributed to multiple nodes for parallel execution, increasing verification speed. At the same time, the verification results are summarized and compared to ensure their accuracy and consistency. If verification passes, the smart contract automatically updates the asset ownership record and triggers a cross-chain relay for data synchronization.

[0066] B3 Cross-chain data synchronization and update: The cross-chain relay synchronizes ownership change information to the target park chain; the target park chain receives and updates NFT ownership information to complete asset transfer.

[0067] For example: Park A transfers asset ID#001 to Park B:

[0068] The user initiates a transaction request, triggering the smart contract;

[0069] The contract verifies the digital signatures of both parties and the permissions of the park's B node;

[0070] The cross-chain relay synchronizes the ownership change to the park B chain and updates the NFT ownership to B.

[0071] The data synchronization adopts asynchronous data synchronization technology, which puts cross-chain data synchronization tasks into the background to reduce the impact on system performance. At the same time, the synchronization tasks are prioritized to ensure the timely synchronization of important data. The priority of the synchronization task is based on the urgency and data size. The priority formula is P=w1×U+w2×S, where U represents the urgency, and different urgency levels are set according to business needs, such as urgent, important, and general. S represents the data size, which is quantified according to the size of the data, such as the number of bytes, the number of records, etc. w1 and w2 are the weights of U and S, respectively, which are set manually or by the system.

[0072] Establish a monitoring and early warning mechanism for cross-chain data synchronization, monitor the synchronization status in real time, including synchronization progress and synchronization success rate indicators, and set safety thresholds. When the synchronization progress and synchronization success rate exceed the safety threshold, it indicates that the synchronization is abnormal, and automatically trigger an early warning notification, such as sending emails, text messages, etc., and record the abnormal information to facilitate subsequent investigation and processing.

[0073] Detailed information on physical assets is collected through IoT devices and cleaned and pre-processed to ensure the accuracy and completeness of the data. At the same time, a hash algorithm is used to generate a unique digital fingerprint, and the asset ownership information is bound to the chain to generate an NFT identifier, realizing the digitization and precise management of assets. After the asset transfer transaction request is initiated, the smart contract uses parallel verification technology to increase the verification speed and ensure the accuracy and consistency of the verification results. If the verification is successful, the asset ownership record is automatically updated and the cross-chain relay is triggered for data synchronization, achieving efficient cross-park asset transfer. Asynchronous data synchronization technology is used to reduce the impact on system performance, and synchronization tasks are prioritized to ensure the timely synchronization of important data. At the same time, a monitoring and early warning mechanism is established to monitor the synchronization status in real time, improving the reliability and efficiency of data synchronization.

[0074] The fourth embodiment differs from the first embodiment mainly in that the collaborative authentication and data verification module operations specifically include:

[0075] C1 Data Verification under Privacy Protection: During cross-park data verification, zero-knowledge proof technology is used to ensure the privacy of asset data. Each park node verifies the authenticity and legitimacy of asset data by verifying the zero-knowledge proof without exposing the original data.

[0076] Establishment of a C2 trust coordination mechanism: Based on the tamper-proof nature of blockchain, a trust coordination mechanism is established among various parks. A credit rating system is used to evaluate and manage the credit of each park. The credit rating is determined based on the park's historical transaction records, data quality, and compliance status. Different permissions and transaction rules are set for parks with different credit ratings. Parks with high credit ratings can enjoy higher transaction limits and lower transaction fees. The data of each park node is audited and verified regularly to ensure data consistency and accuracy.

[0077] A comprehensive credit score is calculated by comprehensively considering the park's historical transaction records, data quality, and compliance status, and assigning corresponding weights. The formula is:

[0078] Credit score = ω1 × historical transaction record score + ω2 × data quality score + ω3 × compliance score;

[0079] Among them, ω1, ω2, and ω3 are the weights of historical transaction records, data quality, and compliance, respectively. They are adjusted according to actual needs and business scenarios, and ω1+ω2+ω3=1;

[0080] Historical transaction record scoring: Scoring is based on the park's transaction frequency, transaction amount, and transaction success rate indicators. For example, parks with higher transaction frequency, larger transaction amounts, and higher transaction success rates can have higher historical transaction record scores.

[0081] Data quality scoring: Data uploaded to the blockchain by the park can be scored based on its accuracy, completeness, and timeliness. For example, the more accurate, complete, and timely the data is, the higher the data quality score will be.

[0082] Compliance score: The park is scored based on whether it complies with relevant laws and regulations, follows industry norms, and actively cooperates with supervision. For example, the better the compliance of the park, the higher its compliance score.

[0083] The use of zero-knowledge proof technology can ensure the privacy of asset data. Each park node can confirm the authenticity and legality of the data by verifying the zero-knowledge proof without exposing the original data, thereby improving data security. Based on the tamper-proof characteristics of the blockchain, a trust coordination mechanism is established, and a credit rating system is used to conduct credit assessment and management of each park, determine the credit level, and set different permissions and transaction rules for parks with different credit levels, thereby enhancing trust and cooperation between systems and ensuring the consistency and accuracy of the data.

[0084] The fifth embodiment differs from the first embodiment in that the node monitoring and maintenance operations performed by the system maintenance and expansion module specifically include:

[0085] Automated monitoring tools: Use automated monitoring tools (such as Prometheus and Grafana) and technologies to monitor node operating status, resource usage, and network connection status indicators in real time, improving the efficiency and accuracy of node monitoring. Also, set monitoring thresholds to automatically trigger warning notifications when indicators exceed the thresholds.

[0086] Rapid response and recovery mechanism: Establish a rapid response and recovery mechanism for node failures. When a node fails, failover or node restart is automatically triggered. At the same time, the cause of the failure is analyzed and recorded, and lessons learned are summarized to prevent similar failures from happening again.

[0087] AI intelligent analysis and prediction: Establish an AI analysis model based on automated monitoring tools and rapid response and recovery mechanisms, record historical data, and conduct intelligent analysis and prediction of the system.

[0088] The performance monitoring and expansion operations of the system maintenance and expansion module specifically include:

[0089] Performance monitoring and analysis: Use performance analysis tools to locate hot spots and slow queries in the system and perform targeted optimizations. At the same time, regularly evaluate and report on system performance, and generate evaluation reports that include system performance indicators, optimization suggestions, and more.

[0090] Distributed deployment and expansion: Distribute and expand the system, assign system tasks to multiple computing nodes for processing, and improve the system's processing power and scalability. Specifically, assign data processing tasks of IoT devices to edge computing nodes to reduce data transmission delays; assign storage and computing tasks of blockchain nodes to cloud computing nodes to improve system performance and reliability.

[0091] Automated monitoring tools monitor node status in real time to improve monitoring efficiency and accuracy, and set thresholds to automatically trigger alerts. Rapid response and recovery mechanisms are established to automatically handle node failures, analyze and record the causes, and reduce downtime. AI technology is further leveraged to intelligently analyze and predict monitoring data, identifying potential problems in advance and enabling preventive measures. Performance monitoring and analysis pinpoint bottlenecks and enable targeted optimization. Distributed deployment and expansion distribute tasks across multiple computing nodes to increase processing power and scalability, reduce data transmission latency, and enhance system performance and reliability.

[0092] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0093] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0094] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A cross-park asset digital management and authentication system based on blockchain, characterized by: include: System initialization and deployment module: Deploy blockchain nodes for each park to form a consortium chain network. Specifically, it includes: determining the number of parks n participating in cross-park asset management, selecting a blockchain platform, using Docker containerization technology to deploy blockchain nodes for each park to form a consortium chain network, packaging the nodes and dependent environments into container images, and using Kubernetes container orchestration tools to manage and schedule the containers; introducing a dynamic node adjustment algorithm based on system load L and performance requirements to monitor the system load in real time; when the system load is too high, that is, L>L max When the number of nodes is automatically increased, where L max is the preset maximum load threshold of the system, and the increase is ΔN, ΔN= f(LL max ), f is the growth function, or the node configuration is improved; when the system load is low, that is, L < L min When the number of nodes is automatically reduced, where L min is the preset minimum load threshold, and the reduction is ΔN', ΔN'=g(L min - L), where g is a reduction function, or a reduction in node configuration; a cross-chain relay is configured to enable asset ownership verification and data synchronization between different park chains; smart contracts are designed based on asset management needs, coded, tested, and deployed on the consortium chain for invocation by nodes in each park; each park's physical assets are equipped with IoT devices to collect asset data, and a direct communication protocol between devices is developed; Asset digitization and registration module: Utilizes IoT devices to collect detailed information on physical assets, performs data cleaning and preprocessing, generates a unique digital fingerprint from the processed asset data using a hash algorithm, invokes smart contracts, binds the hash value to asset ownership information, and writes it into the blockchain to generate an NFT identifier; Cross-park asset transfer module: Operations include: B1 Transaction Request Initiation: The asset owner initiates an asset transfer transaction request on the user interface, specifying the target park and transfer conditions; B2 Smart Contract Verification and Execution: After receiving a transaction request, the smart contract verifies the digital signatures of both parties and the permissions of the target campus node. Using parallel verification technology, the smart contract verification task is distributed to multiple nodes for parallel execution. At the same time, the verification results are summarized and compared. If the verification passes, the smart contract automatically updates the asset ownership record and triggers a cross-chain relay for data synchronization. B3 Cross-chain data synchronization and update: The cross-chain relay synchronizes ownership change information to the target park chain; the target park chain receives and updates NFT ownership information, completing the asset transfer; The data synchronization adopts asynchronous data synchronization technology, putting cross-chain data synchronization tasks into the background for execution. At the same time, the synchronization tasks are prioritized. The priority of the synchronization tasks is sorted based on the urgency and data size. The priority formula is P=w1×U+w2×S, where U represents the urgency, and different urgency levels are set according to business needs; S represents the data size, which is quantified according to the size of the data; w1 and w2 are the weights of U and S respectively, which are set manually or by the system. Establish a monitoring and early warning mechanism for cross-chain data synchronization, monitor the synchronization status in real time, including synchronization progress and synchronization success rate indicators, and set safety thresholds. When the synchronization progress and synchronization success rate exceed the safety threshold, it indicates that the synchronization is abnormal, and an early warning notification is automatically triggered, and the abnormal information is recorded; Collaborative authentication and data verification module: Operations include: C1 Data Verification under Privacy Protection: During cross-park data verification, zero-knowledge proof technology is used to ensure the privacy of asset data. Each park node verifies the authenticity and legitimacy of asset data by verifying the zero-knowledge proof without exposing the original data. Establishment of a C2 trust coordination mechanism: Based on the immutable nature of blockchain, a trust coordination mechanism is established among various parks. A credit rating system is used to assess and manage the credit of each park. Credit ratings are determined based on the park's historical transaction records, data quality, and compliance status. Different permissions and transaction rules are set for parks with different credit ratings. Data from each park's nodes is regularly audited and verified to ensure data consistency and accuracy. A comprehensive credit score is calculated by comprehensively considering the park's historical transaction records, data quality, and compliance status, and assigning corresponding weights. The formula is: Credit score = ω1 × historical transaction record score + ω2 × data quality score + ω3 × compliance score; Among them, ω1, ω2, and ω3 are the weights of historical transaction records, data quality, and compliance, respectively. They are adjusted according to actual needs and business scenarios, and ω1+ω2+ω3=1; Historical transaction record scoring: Scoring is based on the park's transaction frequency, transaction amount, and transaction success rate indicators; Data quality scoring: Scoring is based on the accuracy, completeness, and timeliness of the data uploaded to the blockchain by the park; Compliance score: Scores are given based on whether the park complies with relevant laws and regulations, follows industry norms, and actively cooperates with supervision.

2. The blockchain-based cross-park asset digital management and authentication system according to claim 1 is characterized by: The system initialization and deployment module also includes: designing smart contracts based on asset management requirements, including asset registration, transfer, and query functions; writing smart contract code and using smart contract automated testing tools to write comprehensive test cases to test the functionality, performance, and security of the smart contract; and deploying the smart contract to the consortium chain for invocation by each park node. Each park's physical assets are equipped with IoT devices to collect asset data; IoT devices are equipped with blockchain light node functions so that the devices can directly package the collected data into transactions and upload them to the chain. Based on the distributed characteristics of blockchain, a direct communication protocol between devices is developed.

3. The blockchain-based cross-park asset digital management and authentication system according to claim 1 is characterized by: The asset digitization and registration module operations specifically include: A1 Asset Information Collection: Use IoT devices to collect detailed information about physical assets, including model, location, and ownership; clean and pre-process the collected data; A2 Asset Digitization and Chaining: The processed asset data is processed through a hash algorithm to generate a unique digital fingerprint; the smart contract is called to bind the hash value with the asset ownership information and write it into the blockchain to generate an NFT identifier; the NFT identifier is stored on the blockchain for query and verification by each park node.

4. The blockchain-based cross-park asset digital management and authentication system according to claim 1 is characterized by: The system also includes a system maintenance and expansion module. The operations of the system maintenance and expansion module for node monitoring and maintenance include: Automated monitoring tools: Use automated monitoring tools and technologies to monitor node operation status, resource usage, and network connection status indicators in real time. At the same time, set monitoring thresholds. When indicators exceed the thresholds, early warning notifications are automatically triggered. Rapid response and recovery mechanism: Establish a rapid response and recovery mechanism for node failures. When a node fails, failover or node restart is automatically triggered. At the same time, the cause of the failure is analyzed and recorded. AI intelligent analysis and prediction: Establish an AI analysis model based on automated monitoring tools and rapid response and recovery mechanisms, record historical data, and conduct intelligent analysis and prediction of the system.

5. The blockchain-based cross-park asset digital management and authentication system according to claim 4 is characterized by: The performance monitoring and expansion operations of the system maintenance and expansion module specifically include: Performance monitoring and analysis: Use performance analysis tools to locate hot code and slow queries in the system and perform targeted optimization. At the same time, regularly evaluate and report on system performance and generate evaluation report files. Distributed deployment and expansion: Distribute and expand the system, and assign system tasks to multiple computing nodes for processing; specifically: assign data processing tasks of IoT devices to edge computing nodes; assign storage and computing tasks of blockchain nodes to cloud computing nodes.

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