Vehicle owner digital right management method and system based on block chain

Abstract

The invention relates to the field of block chain management, in particular to a block chain-based vehicle owner digital right management method and system. The method comprises the following steps: identifying all vehicle owner registration information in a platform; performing intelligent contract editing on the vehicle owner registration information, performing distributed block chain architecture design, and constructing a vehicle owner information distributed block chain; performing one-by-one vehicle owner digital right identification on the vehicle owner registration information, and generating digital right block chain registration data of each vehicle owner; according to the digital right block chain registration data of each vehicle owner, the vehicle owner information distributed block chain carries out dynamic digital right mapping and digital right contract optimization so as to generate a digital right optimization block chain; and according to the real-time vehicle owner digital right use log, performing dynamic right use update on the digital right optimization block chain to obtain a dynamically updated digital right block chain. According to the invention, efficient, safe and personalized adaptive digital rights and interests management is realized.

Description

Technical Field

[0001] The present invention relates to the field of blockchain management, and in particular to a method and system for managing digital rights and interests of car owners based on blockchain. Background Art

[0002] With the rapid development of the automobile industry, the management of car owners' rights has gradually become an important issue. Under the traditional car owner rights management model, car owners' rights (such as vehicle warranty, service records, points rewards, etc.) are often centrally managed by automobile manufacturers or dealers. This traditional management method not only has problems such as information asymmetry, data security risks, and low efficiency, but is also easily interfered by human factors, making it difficult for car owners' rights to be fully protected. At the same time, due to the lack of an effective unified platform, cross-brand and cross-regional information sharing between different manufacturers and dealers is difficult, and the circulation and realization of car owners' rights also face many challenges.

[0003] With the rapid development of blockchain technology, its decentralized, tamper-proof, transparent and reliable characteristics have shown great potential in the field of digital rights management. Blockchain technology can provide car owners with a safe, transparent and traceable digital rights management platform, thereby solving the information island problem in traditional management methods. The digital rights management method for car owners based on blockchain can automatically record and execute various rights behaviors of car owners through smart contracts, such as warranty services, points accumulation, preferential redemption, etc., which not only improves management efficiency, but also ensures the fairness and security of car owners' rights.

[0004] However, although blockchain technology provides a new solution for the digital rights management of car owners, it still faces many technical and practical challenges in actual application. Therefore, developing a blockchain-based car owner digital rights management method can effectively improve the level of car owners' rights protection, while promoting the innovation and development of the automotive industry service model, and has become an important direction for the current application of smart cars and blockchain. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a method and system for managing digital rights and interests of car owners based on blockchain to solve at least one of the above technical problems.

[0006] To achieve the above purpose, the present invention provides a method for managing digital rights and interests of car owners based on blockchain, comprising the following steps: Step S1: Identify all the car owner registration information in the platform; edit the car owner registration information through smart contracts, design a distributed blockchain architecture, and build a distributed blockchain for car owner information; Step S2: Identify the digital rights of each car owner based on the car owner registration information, and then perform blockchain digital registration to generate blockchain registration data for the digital rights of each car owner; Step S3: Dynamically mapping digital rights and interests and optimizing digital rights and interests contracts are performed on the distributed blockchain of car owner information based on the digital rights and interests blockchain registration data of each car owner to generate a digital rights and interests optimized blockchain; Step S4: obtaining a real-time car owner digital rights usage log; dynamically updating the rights usage of the digital rights optimization blockchain according to the real-time car owner digital rights usage log to obtain a dynamically updated digital rights blockchain; Step S5: Conduct a security audit of user rights behavior on the dynamically updated digital rights blockchain, analyze risk rights change behavior, and mark abnormal risk rights change behavior; Step S6: Based on the abnormal risk equity change behavior, the dynamically updated digital equity blockchain is risk optimized, and personalized digital equity service recommendations are made to build an intelligently optimized digital equity blockchain.

[0007] The present invention ensures the integrity and accuracy of the owner information by identifying all the owner registration information in the platform. The intelligent contract editing and distributed blockchain architecture design ensure the security and traceability of the data, builds a distributed blockchain of the owner information, improves the transparency and credibility of the data, and ensures the independence and security of each owner's rights and interests through the identification of digital rights and interests of each owner and the digital registration of blockchain. The digital rights and interests blockchain registration data of each owner is generated to realize the efficient management and tracking of digital rights and interests. The dynamic digital rights and interests mapping and digital rights and interests contract optimization ensure the real-time update and matching of the owner information and rights and interests. The generation of digital rights and interests optimized blockchain improves the efficiency and accuracy of digital rights and interests management. The real-time owner digital rights and interests usage log is obtained to understand the owner's behavior and rights and interests usage. The dynamic rights and interests usage update allows the digital rights and interests management to maintain real-time and flexibility. The user rights and interests behavior security audit and risk rights and interests change behavior analysis can timely discover potential risks and abnormal situations. The marking of abnormal risk rights and interests change behavior improves the sensitivity to potential problems and the processing efficiency. The risk optimization and personalized digital rights and interests service recommendation based on abnormal risk rights and interests change behavior improve the risk response capability and user experience. The construction of intelligent optimization digital rights and interests blockchain provides an adaptive and intelligent digital rights and interests management system to provide car owners with more personalized and efficient services.

[0008] Preferably, step S1 comprises the following steps: Step S11: Identify all car owner registration information in the platform; Step S12: classify and extract the vehicle owner registration information to obtain the vehicle owner's personal identity information and vehicle feature information; Step S13: encrypting the personal identity information of the vehicle owner to obtain encrypted identity data of the vehicle owner; Step S14: Editing a smart contract based on the vehicle feature information to generate a vehicle feature smart contract; Step S15: Design a distributed blockchain architecture for the encrypted data of the owner's identity according to the vehicle feature smart contract, and build a distributed blockchain for the owner's information.

[0009] The present invention ensures the integrity and consistency of information by identifying all the owner registration information in the platform, provides basic data for subsequent processing, classifies the owner registration information, extracts the owner's personal identity information and vehicle feature information, prepares for subsequent processing, obtains the owner's personal identity information and vehicle feature information to better understand the characteristics and attributes of the owner and the vehicle, encrypts the owner's personal identity information to protect the owner's privacy and ensure the security of information, obtains the owner's identity encrypted data so that sensitive information is protected and can be safely used for subsequent processing, and performs smart contract editing based on vehicle feature information to realize intelligent management and application of vehicle features, generates vehicle feature smart contracts to combine vehicle-related information with smart contracts, and improves the traceability and operability of information, and performs distributed blockchain architecture design on the owner's identity encrypted data according to the vehicle feature smart contract to realize the safe storage and management of the owner's information, and constructs a distributed blockchain for owner information to improve the transparency and credibility of data, while ensuring the security and privacy protection of the owner's information.

[0010] Preferably, the specific steps of step S2 are: Step S21: performing digital rights identification on each car owner according to the car owner registration information to obtain digital rights data of each car owner; Step S22: Analyze the rights and interests type of the digital rights and interests data of each car owner to obtain the digital rights and interests type data of each car owner; Step S23: Calculate the validity period of the digital rights type data of each car owner, and extract the validity period timestamp of each digital rights type; Step S24: quantifying the number of digital rights and interests of each car owner to obtain the number of digital rights and interests of the car owner; Step S25: Perform digital rights comprehensive feature analysis on the validity period timestamp of each digital rights type and the digital rights quantity data of the car owner, so as to obtain the digital rights features of each car owner; Step S26: Digitally register the digital rights and interests characteristics of each car owner on the blockchain to generate the digital rights and interests blockchain registration data of each car owner.

[0011] The present invention accurately obtains the digital rights data of each car owner by identifying the digital rights of each car owner one by one, thereby ensuring the integrity and accuracy of the data. The rights type analysis is performed on the digital rights data of each car owner to understand the type of digital rights owned by each car owner, providing basic data for subsequent processing. The validity period timestamp of each digital rights type is calculated to determine the validity period of the digital rights, thereby improving the management efficiency and accuracy of digital rights. Quantitative statistics on the number of digital rights can help understand the number of digital rights owned by each car owner, providing data support for digital rights management. The comprehensive feature analysis of digital rights combines the validity period timestamp and the digital rights quantity data to obtain the digital rights characteristics of each car owner, providing a basis for personalized services. The digital rights data of each car owner is digitally registered on the blockchain to realize the secure storage and management of digital rights, thereby improving the transparency and credibility of the data.

[0012] Preferably, step S3 specifically comprises the following steps: Step S31: Perform equity blockchain circulation analysis on the digital equity blockchain registration data of each car owner to obtain digital equity blockchain circulation data; Step S32: Perform adaptive contract management and update on the digital rights blockchain circulation data, thereby obtaining a digital rights adaptive smart contract; Step S33: positioning the vehicle owner information on the distributed vehicle owner information blockchain based on the digital rights and interests blockchain registration data of each vehicle owner, thereby obtaining the vehicle owner information blockchain positioning data; Step S34: Dynamically mapping digital rights and interests on the distributed blockchain of the vehicle owner information based on the vehicle owner information blockchain positioning data to obtain a distributed blockchain of digital rights and interests mapping; Step S35: Optimize the digital rights contract of the digital rights mapping distributed blockchain based on the digital rights adaptive smart contract to generate a digital rights optimized blockchain.

[0013] The present invention analyzes the digital rights and interests blockchain registration data of each car owner, so as to understand the circulation and path of digital rights and interests, track the changes of digital rights and interests, ensure the transparency and security of data, improve the traceability of digital rights and interests management, update the digital rights and interests circulation data through adaptive contract management, generate a digital rights and interests adaptive smart contract, and such smart contract can be dynamically adjusted according to real-time data to improve the efficiency and flexibility of digital rights and interests management. The car owner information is located based on the digital rights and interests blockchain registration data to obtain the car owner information blockchain positioning data, accurately locate the information of each car owner, and provide an accurate data basis for subsequent digital rights and interests mapping. The digital rights and interests are mapped to the car owner information distributed blockchain based on the car owner information blockchain positioning data, and a digital rights and interests mapping distributed blockchain is generated, and the digital rights and interests are associated with the car owner information to realize the accurate mapping and management of digital rights and interests. The digital rights and interests mapping distributed blockchain is optimized based on the digital rights and interests adaptive smart contract to generate a digital rights and interests optimized blockchain, and the optimization of digital rights and interests management is realized through smart contracts to improve management efficiency and accuracy.

[0014] Preferably, the specific steps of step S4 are: Step S41: Obtaining real-time car owner digital rights usage log; Step S42: Perform expired digital rights detection on the real-time digital rights usage log of the car owner to obtain expired and unusable digital rights; Step S43: Identify the digital rights usage information of the real-time car owner's digital rights usage log and extract the digital rights usage record; Step S44: Calculate the available digital rights in real time based on the digital rights usage records, and extract the remaining available digital rights; Step S45: Calculate the final validity period of the remaining available digital rights and interests, and generate an expiration timestamp of the available digital rights and interests; Step S46: Identify the expiring rights based on the expiration timestamp of the available digital rights, and mark the expiring available digital rights; Step S47: Dynamically update the rights usage of the digital rights optimized blockchain based on the expiring available digital rights and the expired unavailable digital rights to obtain a dynamically updated digital rights blockchain.

[0015] By acquiring the real-time car owner's digital rights usage log, the present invention can record the car owner's digital rights usage in real time, including information such as acquisition, use and consumption, monitor the changes of digital rights in real time, provide a data basis for subsequent management and optimization, detect the real-time car owner's digital rights usage log, identify expired and unavailable digital rights, clean up invalid digital rights data, ensure the accuracy and availability of digital rights management, extract the digital rights usage record from the real-time car owner's digital rights usage log, help the system understand the car owner's specific usage, provide a basis for further calculation and management, calculate the remaining available digital rights according to the digital rights usage record, and implement The available digital rights of car owners are updated in real time to ensure the effective management and utilization of digital rights. The final validity period is calculated based on the remaining available digital rights, and the expiration timestamp of the available digital rights is generated. Car owners have a clear understanding of the validity period of their available digital rights, which improves the transparency of rights management. According to the expiration timestamp of the available digital rights, the available digital rights that are about to expire are identified and marked, and car owners are warned in advance of the approaching expiration of their rights, prompting timely processing and management. Based on the available digital rights that are about to expire and the expired unavailable digital rights, the digital rights optimization blockchain is dynamically updated, which ensures the real-time and accuracy of digital rights management and improves management efficiency and user experience.

[0016] Preferably, the specific steps of step S5 are: Step S51: Conduct a security audit of user rights behavior on the dynamically updated digital rights blockchain to generate dynamic digital rights usage behavior data; Step S52: Analyze the dynamic digital rights usage behavior data one by one in a time series to obtain the time series change data of each digital rights; Step S53: Conduct contract clause compliance analysis on each digital equity time series change data to obtain compliance inference data of abnormal equity behavior; Step S54: Analyze the risk equity change behavior based on the compliance inference data of abnormal equity behavior, and mark the abnormal risk equity change behavior.

[0017] The present invention generates dynamic digital rights and interests usage behavior data by conducting security audits on dynamically updated digital rights and interests blockchains, monitors users' rights and interests behaviors, ensures the security and compliance of digital rights and interests, conducts behavior time series analysis on dynamic digital rights and interests usage behavior data one by one, obtains time series change data of each digital right and interests, helps the system understand the changes in user rights and interests, and provides data support for subsequent analysis and management. The present invention conducts compliance analysis on the time series change data of each digital right and interests, obtains compliance inference data of abnormal rights and interests behaviors, identifies abnormal rights and interests behaviors, ensures the standardization and legality of digital rights and interests management, conducts risk rights and interests change behavior analysis based on the compliance inference data of abnormal rights and interests behaviors, marks abnormal risk rights and interests change behaviors, helps the system discover potential risk behaviors in a timely manner, and strengthens the monitoring and control of digital rights and interests management.

[0018] Preferably, the specific steps of step S53 are: Carry out regular analysis of dynamic digital rights usage behavior data to generate regular digital rights usage behavior of car owners; Conduct personalized rights usage learning based on the car owner's normalized digital rights usage behavior to generate the car owner's personalized rights usage rules; Extract the digital rights change timestamp based on each digital rights time series change data; Based on the car owner's personalized rights and interests usage rules, the digital rights and interests change timestamp is used to judge the rationality of the rights and interests usage time, and the rationality of the usage time of each rights and interests change behavior is obtained; Car owners’ rights anomaly analysis is performed based on the rationality of the usage time of each rights change behavior, and abnormal car owners’ digital rights usage data is extracted; Tracing abnormal car owners’ digital rights usage data and generating abnormal usage behavior trajectories; Infer system anomalies based on abnormal usage behavior trajectories. If a system anomaly is identified, it will be marked as normal digital rights usage data of the owner. When the system is judged to be normal, the compliance of the contract terms is inferred for the abnormal usage behavior trajectory to obtain the compliance inference data of abnormal rights and interests behavior.

[0019] The present invention conducts a normalized analysis of the dynamic digital rights usage behavior data of the car owner, generates the normalized digital rights usage behavior of the car owner, establishes the typical behavior pattern of the car owner, provides a basis for subsequent personalized analysis and anomaly detection, conducts personalized rights usage learning on the normalized digital rights usage behavior of the car owner, generates the personalized rights usage rules of the car owner, helps the system understand the personalized needs and usage habits of each car owner, and realizes more accurate rights management and recommendation, extracts the digital rights change timestamp based on the time series change data of each digital rights, records the time information of the rights change, provides a basis for the subsequent time rationality judgment, and judges the rationality of the rights usage time on the digital rights change timestamp based on the personalized rights usage rules of the car owner, obtains the rationality of the usage time of each rights change behavior, and verifies whether the time of the rights change behavior is in accordance with It can combine the personalized rules of car owners, identify potential abnormal behaviors, analyze the abnormal rights of car owners based on the rationality of the usage time of rights change behaviors, extract abnormal digital rights usage data, identify abnormal behaviors, ensure the security and compliance of digital rights, trace the behavior of abnormal digital rights usage data, generate abnormal usage behavior trajectories, help the system track the source and development of abnormal behaviors, provide reference for further processing, make system abnormality inferences on abnormal usage behavior trajectories, mark system abnormalities or normal car owners' digital rights usage data, distinguish system abnormalities from normal behaviors, handle abnormal situations in a timely manner, and when the system is judged to be normal, make contract terms compliance inferences on abnormal usage behavior trajectories to obtain abnormal rights behavior compliance inference data, verify whether the abnormal behavior meets the requirements of the contract terms, and ensure the compliance and transparency of digital rights management.

[0020] Preferably, the specific steps of step S6 are: Step S61: making abnormal risk equity decisions for abnormal risk equity change behaviors to generate risk equity strategies; Step S62: Optimizing the risk of the dynamically updated digital equity blockchain based on the risk equity strategy to generate a risk-optimized digital equity blockchain; Step S63: Car owners' multi-time demand forecasting is performed on the dynamic digital rights usage behavior data to generate car owners' digital rights demand forecasting data; Step S64: Recommend personalized digital rights services based on the predicted data of digital rights needs of the car owner, and build a personalized digital rights recommendation engine; Step S65: Use the personalized digital rights recommendation engine to perform intelligent rights recommendation optimization on the risk-optimized digital rights blockchain to build an intelligently optimized digital rights blockchain.

[0021] The present invention makes decisions on abnormal risk equity change behaviors, generates risk equity strategies, takes corresponding measures according to the risk situation, protects the security and reliability of digital equity, optimizes the digital equity blockchain based on the risk equity strategy, generates a risk-optimized digital equity blockchain, improves the risk response capability of the digital equity management system, ensures the stability and security of digital equity, predicts the multi-point demand of car owners for dynamic digital equity usage behavior data, generates car owner digital equity demand prediction data, understands the changing trend of car owners' demand, prepares for providing personalized services, recommends personalized digital equity services for car owners' digital equity demand prediction data, builds a personalized digital equity recommendation engine, recommends the most suitable digital equity according to the needs of car owners, improves user experience and satisfaction, uses the personalized digital equity recommendation engine to perform intelligent equity recommendation optimization on the risk-optimized digital equity blockchain, builds an intelligently optimized digital equity blockchain, intelligently recommends the best digital equity according to the personalized needs and risk conditions of car owners, and improves the efficiency and accuracy of equity management.

[0022] In this specification, a car owner digital rights management system based on blockchain is provided, which is used to execute the above method, including: The architecture design module is used to identify all the car owner registration information in the platform; perform smart contract editing on the car owner registration information, and perform distributed blockchain architecture design to build a distributed blockchain for car owner information; A digital rights registration module is used to identify the digital rights of each car owner based on the car owner registration information, and then perform blockchain digital registration to generate blockchain registration data for the digital rights of each car owner; The equity mapping module is used to dynamically map digital equity and optimize digital equity contracts based on the digital equity blockchain registration data of each car owner and the distributed blockchain of car owner information to generate a digital equity optimized blockchain; A dynamic update module is used to obtain the real-time car owner's digital rights usage log; according to the real-time car owner's digital rights usage log, the digital rights optimization blockchain is dynamically updated to obtain a dynamically updated digital rights blockchain; The risk equity module is used to conduct security audits of user equity behaviors on dynamically updated digital equity blockchains, analyze risk equity change behaviors, and mark abnormal risk equity change behaviors; The intelligent optimization module is used to optimize the risks of dynamically updated digital equity blockchains based on abnormal risk equity change behaviors, and then make personalized digital equity service recommendations to build an intelligently optimized digital equity blockchain.

[0023] The present invention identifies all the registration information of car owners in the platform and performs intelligent contract editing, constructs a distributed blockchain of car owner information through distributed blockchain architecture design, realizes the safe and tamper-proof storage and management of the registration information of car owners, performs digital rights identification and blockchain digital registration for each car owner, generates the digital rights blockchain registration data of each car owner, ensures that the rights information of each car owner is accurately recorded and managed, performs dynamic digital rights mapping and rights contract optimization according to the digital rights blockchain registration data of the car owner and the distributed blockchain of car owner information, generates a digital rights optimization blockchain, realizes efficient optimization of rights management, obtains the car owner's digital rights usage log in real time, dynamically updates the rights of the digital rights optimization blockchain according to these logs, maintains the real-time and accuracy of the digital rights data, optimizes the risk of the digital rights blockchain based on abnormal risk rights change behavior, provides personalized digital rights service recommendation, constructs an intelligently optimized digital rights blockchain, provides car owners with a better quality and personalized service experience, performs a user rights behavior security audit on the dynamically updated digital rights blockchain, analyzes the risk rights change behavior, and timely marks the abnormal risk rights change behavior to ensure the security of rights management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a schematic diagram of the steps of a method for managing digital rights and interests of car owners based on blockchain in the present invention; Figure 2 Detailed implementation flow chart of step S1; Figure 3 Detailed implementation flow chart of step S2; Figure 4 Detailed implementation flow chart of step S3. DETAILED DESCRIPTION

[0025] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0026] This application example provides a method and system for managing the digital rights and interests of car owners based on blockchain. The execution subjects of the method and system for managing the digital rights and interests of car owners based on blockchain include but are not limited to: mechanical equipment, data processing platform, cloud server node, network upload device, etc. equipped with the system can be regarded as the general computing node of this application, and the data processing platform includes but is not limited to: at least one of an audio and image management system, an information management system, and a cloud data management system.

[0027] See also Figures 1 to 4 The present invention provides a method for managing the digital rights and interests of a car owner based on blockchain, and the method for managing the digital rights and interests of a car owner based on blockchain includes the following steps: Step S1: Identify all the car owner registration information in the platform; edit the car owner registration information through smart contracts, design a distributed blockchain architecture, and build a distributed blockchain for car owner information; Step S2: Identify the digital rights of each car owner based on the car owner registration information, and then perform blockchain digital registration to generate blockchain registration data for the digital rights of each car owner; Step S3: Dynamically mapping digital rights and interests and optimizing digital rights and interests contracts are performed on the distributed blockchain of car owner information based on the digital rights and interests blockchain registration data of each car owner to generate a digital rights and interests optimized blockchain; Step S4: obtaining a real-time car owner digital rights usage log; dynamically updating the rights usage of the digital rights optimization blockchain according to the real-time car owner digital rights usage log to obtain a dynamically updated digital rights blockchain; Step S5: Conduct a security audit of user rights behavior on the dynamically updated digital rights blockchain, analyze risk rights change behavior, and mark abnormal risk rights change behavior; Step S6: Based on the abnormal risk equity change behavior, the dynamically updated digital equity blockchain is risk optimized, and personalized digital equity service recommendations are made to build an intelligently optimized digital equity blockchain.

[0028] The present invention ensures the integrity and accuracy of the owner information by identifying all the owner registration information in the platform. The intelligent contract editing and distributed blockchain architecture design ensure the security and traceability of the data, builds a distributed blockchain of the owner information, improves the transparency and credibility of the data, and ensures the independence and security of each owner's rights and interests through the identification of digital rights and interests of each owner and the digital registration of blockchain. The digital rights and interests blockchain registration data of each owner is generated to realize the efficient management and tracking of digital rights and interests. The dynamic digital rights and interests mapping and digital rights and interests contract optimization ensure the real-time update and matching of the owner information and rights and interests. The generation of digital rights and interests optimized blockchain improves the efficiency and accuracy of digital rights and interests management. The real-time owner digital rights and interests usage log is obtained to understand the owner's behavior and rights and interests usage. The dynamic rights and interests usage update allows the digital rights and interests management to maintain real-time and flexibility. The user rights and interests behavior security audit and risk rights and interests change behavior analysis can timely discover potential risks and abnormal situations. The marking of abnormal risk rights and interests change behavior improves the sensitivity to potential problems and the processing efficiency. The risk optimization and personalized digital rights and interests service recommendation based on abnormal risk rights and interests change behavior improve the risk response capability and user experience. The construction of intelligent optimization digital rights and interests blockchain provides an adaptive and intelligent digital rights and interests management system to provide car owners with more personalized and efficient services.

[0029] In the embodiment of the present invention, refer to Figure 1, is a flowchart of a method for managing the digital rights and interests of a car owner based on blockchain according to the present invention. In this example, the method for managing the digital rights and interests of a car owner based on blockchain includes: Step S1: Identify all the car owner registration information in the platform; edit the car owner registration information through smart contracts, design a distributed blockchain architecture, and build a distributed blockchain for car owner information; In this embodiment, appropriate tools (such as SQL queries and API calls) are used to extract the registration information of all car owners from the data source, including the car owner ID, name, contact information, vehicle information, etc. The extracted data is cleaned to remove duplicate, missing or inconsistent information to ensure data quality. Python's Pandas library or R is used for data processing, and the cleaned data is formatted into a unified structure (such as JSON or CSV) for subsequent use. The cleaned car owner registration information is stored in a temporary data storage (such as a database or data frame) for smart contract editing and blockchain design. The functional requirements of the smart contract are determined, including operations such as registration, update, query and deletion of car owner information. The security requirements of the contract, such as permission control and data privacy, are determined. The structure of the smart contract is designed according to the requirements, and the contract is defined. State variables, events, and functions, for example, define functions such as registerOwner, updateOwnerInfo, getOwnerInfo, etc., use smart contract development languages ​​(such as Solidity) to write contract code, ensure compliance with design specifications and security standards, implement necessary checks and verification logic in the code, ensure data accuracy and security, deploy smart contracts on test networks (such as Ethereum's Ropsten or Rinkeby) and conduct comprehensive tests to verify the correctness and security of contract functions, use test frameworks (such as Truffle or Hardhat) for unit testing and integration testing to ensure the performance of contracts in various scenarios, and select appropriate blockchain platforms (such as Ethereum, Hyperledger Fabric, Corda), considering its performance, scalability and security, design the architecture of distributed blockchain, including node structure, consensus mechanism, data storage method, etc., determine the type of blockchain (public chain, private chain or alliance chain) and its governance structure, prepare the hardware and software environment of blockchain nodes, set up necessary network configurations, deploy nodes, ensure that they can communicate with each other and participate in the consensus mechanism of the blockchain network, deploy smart contracts to the selected blockchain platform, and integrate with the blockchain network to ensure that the contract can access and modify the data on the blockchain and provide necessary interfaces to the outside world, test the entire blockchain system to ensure that its performance meets expectations and can support efficient processing and storage of car owner information, optimize the system according to the test results, adjust network parameters, contract logic, etc., to improve the response speed and stability of the system.

[0030] Step S2: Identify the digital rights of each car owner based on the car owner registration information, and then perform blockchain digital registration to generate blockchain registration data for the digital rights of each car owner; In this embodiment, the types and standards of digital rights of each car owner are determined, such as vehicle ownership, right of use, points, discounts, etc., and the rights attributes are designed to record the relevant information of each right, such as the type of right, validity period, usage restrictions, etc. The basic information of each car owner is extracted from the previously cleaned car owner registration information, including the car owner ID, name, vehicle information, etc., and code (such as Python or JavaScript) is written to traverse the car owner information one by one, and identify the digital rights of each car owner according to the preset standards. For example, based on the car owner's vehicle registration information, the type of rights he owns (such as free maintenance, insurance discounts, etc.) is identified. Store the identified digital rights information in a structured database (such as MongoDB, PostgreSQL) to ensure that the rights information of each car owner is complete and easy to access. Organize the digital rights information of each car owner into a format suitable for blockchain storage, usually in JSON format, including fields such as car owner ID, rights type, and validity period. Write code through smart contracts, call the registration function in the contract (such as registerOwnerRights), register the digital rights of each car owner to the blockchain, use libraries such as Web3.js or Ethers.js to interact with the blockchain, ensure the accuracy of the contract call, submit the registration transaction to the blockchain network, ensure that the digital rights information of each car owner is written to the blockchain, and monitor the transaction. The confirmation event of Yi ensures the success of the transaction and records the transaction hash for subsequent tracking. During the transaction submission process, an error handling mechanism is set up so that retries can be made or the reasons for failure can be recorded when errors occur. The registration success rate can be improved by setting the number of retries and intervals. The registration results of each car owner on the blockchain are collected, including the transaction hash, timestamp, and on-chain status of the equity information. The registration results are integrated into a structured format to generate a digital equity blockchain registration data report, including each car owner's ID, equity type, blockchain status and other information. The generated registration data report is stored in the database. At the same time, data backup is considered to ensure data security and recoverability. The registration data on the blockchain is regularly verified to ensure that it is consistent with the information in the database. Conduct audits to ensure the legality and compliance of all digital rights registrations.

[0031] Step S3: Dynamically mapping digital rights and interests and optimizing digital rights and interests contracts are performed on the distributed blockchain of car owner information based on the digital rights and interests blockchain registration data of each car owner to generate a digital rights and interests optimized blockchain; In this embodiment, relevant information is extracted from the digital rights blockchain registration data of the car owner, including the car owner ID, rights type, validity period, usage restrictions, etc., and the rules for dynamic digital rights mapping are determined. This may include mapping the registered rights to specific business logic or specific contract terms. For example, the rights of some car owners may need to be mapped to specific services or discounts. Code (such as Python or JavaScript) is written to traverse the car owner's registration data one by one, and the digital rights are mapped to the corresponding contract terms or services based on the defined mapping rules. Conditional statements (such as if-else) are used to determine how each car owner's rights should be mapped. The mapping results are stored in the database or directly updated to the blockchain to ensure that the dynamic rights status of each car owner is the latest. The mapping information can be stored in a structured format (such as JSON) to facilitate subsequent search and analysis. The existing smart contracts are analyzed to identify the contract terms and logic that can be optimized. For example, the conditions, restrictions and expiration rules in the contract are checked. According to the dynamic rights mapping results of the car owner, the contract requirements that need to be optimized are collected. This may include adjusting the validity period of the rights, adding new rights types, or modifying existing rights. Conditions for the use of rights and interests, design new contract terms or modify existing smart contracts to ensure that they support new dynamic mapping rules and optimization requirements, use smart contract programming languages ​​such as Solidity to modify contract code to ensure the implementation of new logic, conduct comprehensive testing of optimized smart contracts in the test network to ensure the correctness and security of the new logic, use frameworks such as Truffle or Hardhat for unit testing to verify the performance of the contract in different scenarios, deploy the optimized smart contracts to the main network, replace the old contracts or perform version updates, ensure that the rights and interests logic of all car owners is the latest, collect the optimized contracts and their mapping results with the car owners' digital rights, and integrate them into the structure of the digital rights and interests optimized blockchain, update the status of the blockchain according to the results of mapping and contract optimization, ensure that the rights and interests information of all car owners reflects the latest status on the chain, record the status of the generated digital rights and interests optimized blockchain on the blockchain, and perform data backup at the same time to ensure the security and recoverability of information, regularly verify and audit the digital rights and interests optimized blockchain to ensure the accuracy, compliance and consistency of all information, and record the audit results for subsequent reference and compliance checks.

[0032] Step S4: obtaining a real-time car owner digital rights usage log; dynamically updating the rights usage of the digital rights optimization blockchain according to the real-time car owner digital rights usage log to obtain a dynamically updated digital rights blockchain; In this embodiment, the source of the real-time car owner digital rights usage log is determined, which may include the log generated when the car owner uses the application, the transaction system or the third-party service interface, and the car owner's digital rights usage log is obtained from the data source in real time using appropriate technology (such as API call, WebSocket or message queue). For example, Python's requests library or Node.js's Socket.io is used to obtain real-time data, and the obtained usage log data is converted into a unified structured format (such as JSON), including necessary fields such as car owner ID, rights type, usage time, usage quantity, etc., and the smart contract function that needs to be updated is determined, such as updateOwnerRights, to ensure that the contract can handle the update request of dynamic rights usage, write code (such as Python or JavaScript), traverse the real-time usage log, extract the rights usage information of each car owner one by one, and call the contract to update the dynamic rights. For example, use the Web3.js or Ethers.js library to interact with the blockchain, call the corresponding contract function, and provide Submit update transactions to the blockchain network to ensure that each car owner's equity usage information is written to the blockchain, monitor transaction confirmation events, ensure that the transaction is successful and record the transaction hash for subsequent tracking. During the transaction submission process, set up an error handling mechanism so that you can retry or record the reason for failure when an error occurs. You can increase the update success rate by setting the number of retries and intervals. Collect all successfully updated transaction records and integrate the current digital equity status, which includes each car owner's latest equity balance, usage records, etc. Regularly verify the dynamically updated blockchain status to ensure the accuracy and consistency of all information. Use a blockchain browser (such as Etherscan) or self-built tools to view the latest blockchain status. Record the results of dynamic updates in the database and generate update logs for subsequent audits and analysis. Regularly audit the update process to ensure the compliance and transparency of all operations. Evaluate the effectiveness of equity usage based on the results of dynamic updates and user feedback, optimize subsequent data collection and contract logic, and make necessary system adjustments to ensure that future dynamic updates are more efficient and accurate.

[0033] Step S5: Conduct a security audit of user rights behavior on the dynamically updated digital rights blockchain, analyze risk rights change behavior, and mark abnormal risk rights change behavior; In this embodiment, the scope and objectives of the audit are determined, including the types of user equity behaviors that need to be audited (such as equity use, transfer, expiration, etc.), and relevant user equity behavior records are extracted from the dynamically updated digital equity blockchain. These records should include timestamps, user IDs, equity types, operation types, and transaction hashes. Appropriate audit tools or frameworks (such as Apache Spark and ElasticSearch) are selected to process and analyze large-scale data. The extracted data is analyzed using audit tools to identify potential security issues and abnormal behaviors. This may include using data analysis methods (such as anomaly detection algorithms) to mark operations that do not meet expectations. For example, the Z-score or IQR method is used to detect outliers, identify frequent, unusual, or high-risk equity change operations, generate an audit report, and record the audit results in detail, including a comparison between normal and abnormal behaviors, potential risk points, and recommended improvement measures. The audit results are stored in a database, and the audit logs of user equity behaviors are retained for subsequent tracking and analysis. Indicators for risk analysis are determined, such as the frequency, amount, and type of abnormal behaviors. Thresholds are set to divide normal and abnormal behaviors. User equity behavior data is extracted from the audit results, focusing on equity changes that may be risky. The extracted behavior data is analyzed. To identify abnormal risk equity change behaviors, statistical analysis, machine learning models (such as random forests, logistic regression) and other methods can be used to classify and evaluate risks. For example, a model can be trained to predict which behaviors may be risky behaviors, and new data can be monitored in real time. Based on the analysis results, the identified abnormal risk equity change behaviors can be marked, and the relevant user ID, behavior type, risk level and other information can be recorded. The marked abnormal risk behaviors can be recorded in the database, risk alerts can be generated, and the results can be fed back to the relevant teams so that necessary measures can be taken. A dashboard can be created (using tools such as Grafana and Tableau) to display the overview and details of risk behaviors in real time for management monitoring, regularly track marked abnormal risk behaviors, analyze subsequent user operations and behavior changes, conduct regular audits, evaluate the effectiveness of risk analysis, and adjust risk indicators and analysis models to improve accuracy.

[0034] Step S6: Based on the abnormal risk equity change behavior, the dynamically updated digital equity blockchain is risk optimized, and personalized digital equity service recommendations are made to build an intelligently optimized digital equity blockchain.

[0035] In this embodiment, the previously marked abnormal risk equity change behaviors are reviewed, the causes and impacts of their occurrence are analyzed in detail, the most common risk types (such as frequent changes, abnormal amounts, etc.) are identified, and their specific characteristics are recorded. According to the results of the abnormal behavior analysis, corresponding risk optimization strategies are formulated. For example, for frequent equity changes, a stricter review mechanism can be set, or usage conditions can be added, and the relevant logic in the smart contract can be modified to apply new risk optimization strategies, which may include: adding restrictions on the use of specific equity, setting additional verification steps for high-risk users, adjusting the validity period or usage conditions of equity, deploying the optimized smart contract, and conducting a comprehensive test in the test network to ensure the effectiveness and security of the new logic, using automated testing tools (such as Truffle) to verify the contract function to ensure that no new vulnerabilities are introduced, deploying the tested optimized contract to the main network, replacing the old contract, and ensuring that all user equity information is consistent with the new contract, collecting and analyzing the user's historical usage behavior, preference settings and abnormal risk behavior, establishing user portraits, using data mining techniques (such as cluster analysis, collaborative filtering) to identify user needs and preferences, designing personalized recommendation algorithms, combining user portraits with dynamic Equity mapping, determine the digital equity service that best suits each user, for example, use content-based recommendation or hybrid recommendation system to generate personalized services, implement personalized recommendation engine, generate a recommended list of digital equity services for each user based on the algorithm, for example, recommend specific offers, services or equity change options, ensure that the recommendation matches the user's historical behavior and needs, display the recommended services to users, and collect user feedback to evaluate the effectiveness and satisfaction of the recommendation, use A / B testing methods to compare the effects of different recommendation strategies, optimize the recommendation algorithm, record the results of risk optimization and personalized recommendation on the intelligent optimized digital equity blockchain, ensure that all equity information is up to date, record the content of each recommendation and user feedback for subsequent analysis, implement monitoring mechanism, track user behavior and equity usage on the blockchain in real time, ensure that it complies with the new contract logic and recommendation strategy, establish an automatic feedback mechanism, dynamically adjust the recommendation strategy and contract terms according to the actual usage of the user, regularly evaluate the performance of the intelligent optimized digital equity blockchain, including user satisfaction, risk event incidence, etc., perform necessary system optimization based on the evaluation results, and adjust the recommendation algorithm and contract logic to improve overall efficiency and user experience.

[0036] In this embodiment, refer to Figure 2 , is a flowchart of detailed implementation steps of step S1. In this embodiment, the detailed implementation steps of step S1 include: Step S11: Identify all car owner registration information in the platform; Step S12: classify and extract the vehicle owner registration information to obtain the vehicle owner's personal identity information and vehicle feature information; Step S13: encrypting the personal identity information of the vehicle owner to obtain encrypted identity data of the vehicle owner; Step S14: Editing a smart contract based on the vehicle feature information to generate a vehicle feature smart contract; Step S15: Design a distributed blockchain architecture for the encrypted data of the owner's identity according to the vehicle feature smart contract, and build a distributed blockchain for the owner's information.

[0037] In this embodiment, after obtaining authorization from the platform and the user, the storage location of the owner's registration information (such as a database, data table or API) is determined to ensure that all relevant data can be accessed, and data query tools (such as SQL, Python's Pandas library) are used to extract the owner's registration information, including the owner's name, contact information, registration time, vehicle information, etc. The extracted owner's registration information is integrated to form a unified data structure (such as JSON or CSV format) to facilitate subsequent processing. The extracted data is quality checked to identify and process missing values ​​and outliers to ensure the integrity and accuracy of the data. The classification standard is determined to divide the registration information into personal identity information (such as name, ID number, contact information) and vehicle feature information (such as vehicle model, license plate number, vehicle identification code), and the data processing tool ( The integrated car owner registration information can be classified and extracted using regular expressions or the column separation function of the data frame. The extracted identity information and vehicle feature information are organized into structured formats (such as dictionaries or data frames) for subsequent operations and storage. A suitable encryption algorithm (such as AES, RSA, or SHA-256) is selected to ensure that the encryption process meets security standards. The extracted personal identity information of the car owner is encrypted. The specific steps include: converting the identity information into byte format, encrypting the byte data using the selected encryption algorithm, generating encrypted data, and storing the encrypted car owner identity data in a secure database or file system to ensure the confidentiality of the data. A suitable blockchain platform (such as Ethereum, Hyperledger 1. Use Ethereum (ETH) or Ethereum (EOS) to write smart contracts. Design the logic of smart contracts based on vehicle feature information, including the functions, events, and state variables of the contract. For example, define how the contract stores vehicle features, updates status, and processes transactions. Use smart contract programming languages ​​(such as Solidity) to write vehicle feature smart contracts, ensure that the code complies with the design logic and has been fully tested. Deploy the written smart contracts to the selected blockchain platform, generate contract addresses for subsequent calls, design a distributed blockchain architecture for vehicle owner information, including node structure, network protocols, and consensus mechanisms, and ensure that the architecture can support efficient data storage and access. Based on the vehicle feature smart contract, combine the encrypted identity data of the vehicle owner with the blockchain architecture to ensure that the identity data is securely stored on the blockchain. Configure the nodes in the blockchain network to ensure that each node can correctly process transactions and store data. Set necessary network security policies to ensure data integrity and security. Test the constructed distributed blockchain to verify the storage of identity data, the execution of smart contracts, and the performance of the overall system to ensure that the system is stable and reliable. Document key decisions, architecture diagrams, and test results during the design and implementation process for subsequent reference and maintenance.

[0038] In this embodiment, refer to Figure 3 , is a flowchart of detailed implementation steps of step S2. In this embodiment, the detailed implementation steps of step S2 include: Step S21: performing digital rights identification on each car owner according to the car owner registration information to obtain digital rights data of each car owner; Step S22: Analyze the rights and interests type of the digital rights and interests data of each car owner to obtain the digital rights and interests type data of each car owner; Step S23: Calculate the validity period of the digital rights type data of each car owner, and extract the validity period timestamp of each digital rights type; Step S24: quantifying the number of digital rights and interests of each car owner to obtain the number of digital rights and interests of the car owner; Step S25: Perform digital rights comprehensive feature analysis on the validity period timestamp of each digital rights type and the digital rights quantity data of the car owner, so as to obtain the digital rights features of each car owner; Step S26: Digitally register the digital rights and interests characteristics of each car owner on the blockchain to generate the digital rights and interests blockchain registration data of each car owner.

[0039] In this embodiment, it is ensured that the car owner registration information and related digital rights and interests information have been collected and sorted. The data should include the basic information of the car owner and his rights and interests (such as points, coupons, membership, maintenance times, free repair times, etc.). Use data processing tools (such as Python, R or SQL) to analyze the rights and interests information of each car owner one by one. For example, write a script to extract the relevant rights and interests data of each car owner from the database. For each car owner, generate its digital rights and interests data structure (such as a dictionary or data frame), including information such as the car owner ID, the type of rights and interests, and the value of the rights and interests. Define identifiable digital rights and interests types, such as points, discounts, service rights and interests, etc., to ensure consistency in the analysis process, classify and analyze the digital rights and interests data of each car owner, identify the type of rights and interests owned by each car owner, which can be achieved by using conditional screening or classification algorithms, generate a rights and interests type data structure for each car owner, record the type information of all its digital rights and interests, and store the analyzed car owner rights and interests type data in the database for subsequent query and use. Determine the validity period rules of each digital right and interest, such as the validity period of points and the expiration date of coupons. For each car owner's digital rights and interests type data, generate Take its validity period timestamp, which can be directly extracted through the timestamp field or calculated according to business logic, record the extracted validity period timestamp in the digital rights and interests data structure of the car owner, and verify it to ensure the accuracy of the timestamp, determine the quantitative statistical method of digital rights and interests, such as the number of each type of rights and interests, the total number of rights and interests, etc., perform quantitative statistics on the digital rights and interests data of each car owner, calculate the number of digital rights and interests of each car owner, and use aggregate functions (such as COUNT) or the counting function of the data frame to record the statistical results (i.e., the number of digital rights and interests of the car owner) in the database to ensure that the data structure is reasonable and convenient for subsequent analysis, determine the appropriate comprehensive feature analysis method, such as multidimensional data analysis, principal component analysis (PCA) or cluster analysis, etc., perform comprehensive feature analysis based on the validity period timestamp and digital rights and interests data of each car owner, calculate the digital rights and interests characteristics of each car owner, and generate feature vectors through standardization, weighted average, etc., record the digital rights and interests feature data obtained by analysis in the database to form the feature data structure of each car owner, and select a suitable blockchain platform (such as Ethereum, Hyperledger Car owners can register their digital rights using Ethereum Fabric and write smart contracts to register the digital rights characteristics of car owners. This includes defining the structure, functions and events of the contract, formatting the digital rights characteristic data of each car owner into a data format suitable for blockchain storage (such as JSON), using blockchain API or SDK to submit the digital rights characteristic data of each car owner to the blockchain, triggering the execution of the smart contract, completing the registration, verifying the registration results, ensuring that the digital rights characteristic data of all car owners are correctly stored on the blockchain, and recording the hash value or transaction ID of the registration transaction for subsequent queries.

[0040] In this embodiment, refer to Figure 4 , is a flowchart of detailed implementation steps of step S3. In this embodiment, the detailed implementation steps of step S3 include: Step S31: Perform equity blockchain circulation analysis on the digital equity blockchain registration data of each car owner to obtain digital equity blockchain circulation data; Step S32: Perform adaptive contract management and update on the digital rights blockchain circulation data, thereby obtaining a digital rights adaptive smart contract; Step S33: positioning the vehicle owner information on the distributed vehicle owner information blockchain based on the digital rights and interests blockchain registration data of each vehicle owner, thereby obtaining the vehicle owner information blockchain positioning data; Step S34: Dynamically mapping digital rights and interests on the distributed blockchain of the vehicle owner information based on the vehicle owner information blockchain positioning data to obtain a distributed blockchain of digital rights and interests mapping; Step S35: Optimize the digital rights contract of the digital rights mapping distributed blockchain based on the digital rights adaptive smart contract to generate a digital rights optimized blockchain.

[0041] In this embodiment, the digital rights registration data of each car owner is extracted from the blockchain, including information such as the type of rights, timestamp, and status change, and key indicators of the rights transfer data, such as the transfer time, number of transfers, and transfer type (activation, expiration, transfer, etc.), are determined. The extracted registration data is analyzed using data analysis tools (such as Python's Pandas library or R language), the digital rights transfer of each car owner is identified, and a transfer data report is generated, including information such as the rights transfer history, frequency, and trend of each car owner. The analysis results (digital rights blockchain transfer data) are stored in the database for later use. The system is used to manage and query the continuous flow of equity, design the framework of adaptive smart contracts, define the flexibility and variability of contracts to adapt to different equity transfer scenarios, formulate logical rules for contract updates based on the results of the flow data analysis, for example, automatically adjust the contract terms based on the flow frequency and status, use smart contract programming languages ​​(such as Solidity) to update the contract code, ensure that the contract can be automatically adjusted according to the flow data, deploy the updated contract to the blockchain, and conduct necessary tests to ensure its normal operation, record the updates of adaptive smart contracts, including the contract address, version number and update content, and determine the key data for the positioning of the owner's information. Points, such as owner ID, equity type, registration time, etc., based on the digital equity blockchain registration data of each owner, extract relevant information from the blockchain and organize it into a structured format, use location identification algorithms (such as hash positioning or index search) to locate the owner on the distributed blockchain of the owner information, and obtain the specific distribution of his equity, design a dynamic digital equity mapping model, define mapping relationships and mapping rules, for example, how to associate the owner's equity with the actual equity status, extract the equity status information of each owner based on the owner information blockchain positioning data, prepare for mapping, implement digital equity mapping, map the owner's equity status to the distributed blockchain, ensure the timeliness and accuracy of the mapping, record the mapping results in the database, and verify to ensure that the equity status of each owner is consistent with the record on the blockchain, formulate contract optimization strategies based on the operation of the adaptive smart contract and the dynamic equity mapping data, implement the optimization strategy in the smart contract, for example, adjust the equity distribution rules, update the incentives or modify the contract execution conditions, deploy the optimized smart contract to the blockchain, ensure that the new contract can be effectively executed and support dynamic equity mapping, record key decisions and contract versions during the optimization process, and collect usage feedback for continuous improvement.

[0042] In this embodiment, step S4 includes the following steps: Step S41: Obtaining real-time car owner digital rights usage log; Step S42: Perform expired digital rights detection on the real-time digital rights usage log of the car owner to obtain expired and unusable digital rights; Step S43: Identify the digital rights usage information of the real-time car owner's digital rights usage log and extract the digital rights usage record; Step S44: Calculate the available digital rights in real time based on the digital rights usage records, and extract the remaining available digital rights; Step S45: Calculate the final validity period of the remaining available digital rights and interests, and generate an expiration timestamp of the available digital rights and interests; Step S46: Identify the expiring rights based on the expiration timestamp of the available digital rights, and mark the expiring available digital rights; Step S47: Dynamically update the rights usage of the digital rights optimized blockchain based on the expiring available digital rights and the expired unavailable digital rights to obtain a dynamically updated digital rights blockchain.

[0043] In this embodiment, the source of the real-time car owner digital rights usage log (such as a transaction system, application or database) is determined, and the car owner digital rights usage log is obtained regularly or in real time using an API or data collection tool to ensure the timeliness and integrity of the data. The Python Requests library or WebSocket can be used to obtain real-time data, determine the expiration rules of digital rights, such as the validity period of points, the expiration date of coupons, etc., write a data processing script, traverse the real-time car owner digital rights usage log, identify and mark expired digital rights, and use conditional screening (such as date comparison) for detection. The detected expired and unavailable digital rights are recorded in the database, and a report is generated for subsequent analysis. The digital rights usage record information that needs to be extracted is determined, such as usage time, usage type, usage quantity, etc. The real-time car owner digital rights usage log is analyzed to extract relevant usage information, which can be achieved by using regular expressions or the column separation function of the data frame. The extracted digital rights usage records are stored in a structured format (such as JSON or a database table) for subsequent analysis. The calculation standard of available digital rights, such as remaining points, unused coupons, etc., is determined using programming tools (such as Python). hon or R) to calculate the digital rights usage records in real time, identify the remaining available digital rights, and use aggregate functions (such as SUM) for statistics. Determine the calculation method for the validity period of each digital right. Use timestamp calculation or date comparison to calculate the validity period of the remaining available digital rights and extract the expiration timestamp. This can be done by writing scripts to compare and calculate timestamps. The calculated expiration timestamp of the available digital rights is recorded in the database to ensure the accuracy and traceability of the data. Determine the standards for expiring rights, such as the number of days less than a certain number of days (such as 30 days, 15 days, etc.) from the expiration date. Write a script to traverse the expiration timestamps of the remaining available digital rights, identify and mark the expiring available digital rights, and use conditional screening (such as date difference calculation) for detection. Determine the rules and logic for dynamic rights usage updates, such as how to handle expiring rights and expired rights. Based on the expiring available digital rights and expired unavailable digital rights, dynamically update the digital rights optimization blockchain, use the blockchain API to submit the updated data to the blockchain, verify the results of the dynamic update, ensure that the update is successful and reflected on the blockchain, and record the key decisions and transaction hashes during the update process for subsequent tracking and auditing.

[0044] In this embodiment, the specific steps of step S5 are: Step S51: Conduct a security audit of user rights behavior on the dynamically updated digital rights blockchain to generate dynamic digital rights usage behavior data; Step S52: Analyze the dynamic digital rights usage behavior data one by one in a time series to obtain the time series change data of each digital rights; Step S53: Conduct contract clause compliance analysis on each digital equity time series change data to obtain compliance inference data of abnormal equity behavior; Step S54: Analyze the risk equity change behavior based on the compliance inference data of abnormal equity behavior, and mark the abnormal risk equity change behavior.

[0045] In this embodiment, determine the objectives and scope of the audit, including which user behaviors and equity operations need to be audited, such as equity use, transfer, expiration, etc. Extract user equity behavior data from the dynamically updated digital equity blockchain, and ensure that the data contains timestamps, user IDs, equity types, and operation details. Select appropriate audit tools or frameworks (such as Apache Spark, ElasticSearch) to process and analyze large-scale data. Use the selected tools to analyze the extracted data, identify potential security issues and violations, and generate dynamic digital equity usage behavior data reports, including a complete record of user behavior and preliminary identification of any abnormal behavior. Ensure that dynamic digital equity usage behavior data is stored in a time series format, including timestamps, user IDs, and equity usage records. Use time series analysis tools (such as Pandas, NumPy) to perform time series analysis on the behavior records of each user and identify the changes in each digital equity. Calculate the usage and change trends of each user's digital equity at different time points to generate digital equity time series change data. Determine applicable contract terms and compliance standards, including conditions, restrictions, and expected behaviors for equity use. Use compliance analysis tools (such as rule engines and logical reasoning systems) to conduct compliance analysis on each digital equity time series change data to determine whether it complies with the terms of the contract. Identify usage behaviors that violate the terms of the contract, generate compliance inference data for abnormal equity behavior, and record the details and causes of abnormal behavior. Establish standards and indicators for risk analysis, such as the frequency, type, and potential impact of abnormal behavior. Based on the compliance inference data of abnormal equity behavior, analyze equity change behaviors that may cause risks and identify high-risk users and behavior patterns. Mark the identified abnormal risk equity change behaviors and generate risk alerts, including user ID, behavior type, risk level, and other information. Record the results of risk analysis and provide feedback to relevant teams so that appropriate risk control measures can be taken and subsequent monitoring and auditing can be carried out.

[0046] In this embodiment, the specific steps of step S53 are: Carry out regular analysis of dynamic digital rights usage behavior data to generate regular digital rights usage behavior of car owners; Conduct personalized rights usage learning based on the car owner's normalized digital rights usage behavior to generate the car owner's personalized rights usage rules; Extract the digital rights change timestamp based on each digital rights time series change data; Based on the car owner's personalized rights and interests usage rules, the digital rights and interests change timestamp is used to judge the rationality of the rights and interests usage time, and the rationality of the usage time of each rights and interests change behavior is obtained; Car owners’ rights anomaly analysis is performed based on the rationality of the usage time of each rights change behavior, and abnormal car owners’ digital rights usage data is extracted; Tracing abnormal car owners’ digital rights usage data and generating abnormal usage behavior trajectories; Infer system anomalies based on abnormal usage behavior trajectories. If a system anomaly is identified, it will be marked as normal digital rights usage data of the owner. When the system is judged to be normal, the compliance of the contract terms is inferred for the abnormal usage behavior trajectory to obtain the compliance inference data of abnormal rights and interests behavior.

[0047] In this embodiment, the owner's usage records are extracted from the dynamic digital rights and interests usage behavior data, including usage time, usage type, usage frequency, etc., and statistical analysis methods (such as mean, standard deviation, and quantile analysis) are used to establish the owner's normalized usage behavior model, identify the normal usage pattern, group the owner's usage behavior through cluster analysis (such as K-means), generate the owner's normalized digital rights and interests usage behavior data, identify common usage patterns, design a personalized learning framework, determine the characteristics of the analysis (such as usage frequency, usage amount, and preferred rights and interests type), select a suitable machine learning model (such as random forest, support vector machine) for personalized rights and interests usage learning, use the owner's normalized digital rights and interests usage behavior data to train the model, optimize the model parameters to improve the prediction accuracy, generate each owner's personalized rights and interests usage rules based on the trained model, record preferences and usage habits, use the rules, write code (such as Python script) to judge the rationality of the digital rights and interests change timestamp, compare the actual usage time with the personalized rules, and use the judgment results (consistent) to judge the rationality of the digital rights and interests change timestamp. The abnormal use of rights (reasonable or unreasonable) is recorded in the database for subsequent abnormal analysis, and the standards for abnormal use of rights and interests are determined, such as unreasonable use time and frequent changes. All rights and interests change behaviors are analyzed, and the rights and interests changes marked as unreasonable are extracted to generate abnormal car owner digital rights and interests usage data, determine the scope and method of tracing, trace the relevant behavior records based on the abnormal use data, and generate the track of abnormal use behavior based on the data of abnormal use behavior, including time, location and operation details, and determine the judgment standard of system abnormality, such as the frequency and scope of impact of abnormal behavior. Logical reasoning or machine learning technology (such as decision tree, neural network) is used to analyze the abnormal behavior track to determine whether it belongs to system abnormality. If it is determined to be a system abnormality, the behavior is marked as normal car owner digital rights and interests usage data, and the results are recorded. The applicable contract terms and compliance standards are determined to determine whether the abnormal behavior complies with the regulations. Compliance inference is performed on the abnormal use behavior track, and logical checks are performed using contract terms. The compliance inference results are recorded in the database to generate a compliance audit report.

[0048] In this embodiment, step S6 includes the following steps: Step S61: making abnormal risk equity decisions for abnormal risk equity change behaviors to generate risk equity strategies; Step S62: Optimizing the risk of the dynamically updated digital equity blockchain based on the risk equity strategy to generate a risk-optimized digital equity blockchain; Step S63: Car owners' multi-time demand forecasting is performed on the dynamic digital rights usage behavior data to generate car owners' digital rights demand forecasting data; Step S64: Recommend personalized digital rights services based on the predicted data of digital rights needs of the car owner, and build a personalized digital rights recommendation engine; Step S65: Use the personalized digital rights recommendation engine to perform intelligent rights recommendation optimization on the risk-optimized digital rights blockchain to build an intelligently optimized digital rights blockchain.

[0049] In this embodiment, the criteria for evaluating abnormal risk equity change behavior are determined, including risk type, impact level, and potential loss, etc., a decision framework is designed, a decision tree or logistic regression model is used to evaluate the risk level of each abnormal behavior, and an analysis tool (such as Python's scikit-learn) is used to evaluate abnormal risk equity change behavior, and a risk equity strategy is generated, which may include restricting the use of certain rights, adjusting contract terms, or implementing monitoring. Based on the generated risk equity strategy, corresponding risk optimization measures are designed, such as adjusting the use rules or monitoring frequency of the rights, and the dynamically updated digital equity blockchain is modified using the blockchain API. The formulated risk optimization strategy is applied to verify the effectiveness of the strategy update, ensure that the new strategy is implemented normally on the blockchain, and that the use rules of all relevant rights are updated. A suitable time series prediction model, such as ARIMA, LSTM, or SARIMA, is selected to predict the digital equity demand of car owners, collect and organize the historical usage behavior data of car owners to ensure the integrity and accuracy of the data, and use the historical data to train the selected prediction model. Training and verification, adjusting model parameters to improve prediction accuracy, generating car owner digital rights demand forecast data based on the trained model, identifying future demand trends, designing a framework for a personalized recommendation system, defining recommendation algorithms (such as collaborative filtering and content recommendation), collecting car owner preference data and demand forecast data, cleaning and formatting data, ensuring that the data is suitable for recommendation, using the collected data to train the recommendation model, optimizing algorithm parameters to improve the accuracy and relevance of recommendations, generating personalized digital rights service recommendations, providing the most relevant rights services based on car owner demand forecasts and preferences, designing an intelligent optimization framework, integrating the personalized recommendation engine with the risk-optimized blockchain, ensuring that the recommended rights comply with the latest risk strategies, using the personalized digital rights recommendation engine to perform intelligent recommendation optimization on the risk-optimized digital rights blockchain, ensuring that the recommended rights can meet car owner needs and comply with risk control strategies, verifying the optimized recommendation results, collecting user feedback, evaluating the effectiveness and satisfaction of the recommendations, recording the optimization results and user feedback in the database, and providing a basis for subsequent model improvements and iterations of the recommendation algorithm.

[0050] In this embodiment, a car owner digital rights management system based on blockchain is provided, which is used to execute the above method, including: The architecture design module is used to identify all the car owner registration information in the platform; perform smart contract editing on the car owner registration information, and perform distributed blockchain architecture design to build a distributed blockchain for car owner information; A digital rights registration module is used to identify the digital rights of each car owner based on the car owner registration information, and then perform blockchain digital registration to generate blockchain registration data for the digital rights of each car owner; The equity mapping module is used to dynamically map digital equity and optimize digital equity contracts based on the digital equity blockchain registration data of each car owner and the distributed blockchain of car owner information to generate a digital equity optimized blockchain; A dynamic update module is used to obtain the real-time car owner's digital rights usage log; according to the real-time car owner's digital rights usage log, the digital rights optimization blockchain is dynamically updated to obtain a dynamically updated digital rights blockchain; The risk equity module is used to conduct security audits of user equity behaviors on dynamically updated digital equity blockchains, analyze risk equity change behaviors, and mark abnormal risk equity change behaviors; The intelligent optimization module is used to optimize the risks of dynamically updated digital equity blockchains based on abnormal risk equity change behaviors, and then make personalized digital equity service recommendations to build an intelligently optimized digital equity blockchain.

[0051] The present invention identifies all the registration information of car owners in the platform and performs intelligent contract editing, constructs a distributed blockchain of car owner information through distributed blockchain architecture design, realizes the safe and tamper-proof storage and management of the registration information of car owners, performs digital rights identification and blockchain digital registration for each car owner, generates the digital rights blockchain registration data of each car owner, ensures that the rights information of each car owner is accurately recorded and managed, performs dynamic digital rights mapping and rights contract optimization according to the digital rights blockchain registration data of the car owner and the distributed blockchain of car owner information, generates a digital rights optimization blockchain, realizes efficient optimization of rights management, obtains the car owner's digital rights usage log in real time, dynamically updates the rights of the digital rights optimization blockchain according to these logs, maintains the real-time and accuracy of the digital rights data, optimizes the risk of the digital rights blockchain based on abnormal risk rights change behavior, provides personalized digital rights service recommendation, constructs an intelligently optimized digital rights blockchain, provides car owners with a better quality and personalized service experience, performs a user rights behavior security audit on the dynamically updated digital rights blockchain, analyzes the risk rights change behavior, and timely marks the abnormal risk rights change behavior to ensure the security of rights management.

[0052] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0053] The above is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for managing digital rights of car owners based on blockchain, characterized in that: The following steps are involved: Step S1: Identify all the car owner registration information in the platform; edit the car owner registration information through smart contracts, design a distributed blockchain architecture, and build a distributed blockchain for car owner information; Step S2: Identify the digital rights of each car owner based on the car owner registration information, and then perform blockchain digital registration to generate blockchain registration data for the digital rights of each car owner; Step S3: Dynamically mapping digital rights and interests and optimizing digital rights and interests contracts are performed on the distributed blockchain of car owner information based on the digital rights and interests blockchain registration data of each car owner to generate a digital rights and interests optimized blockchain; Step S4: obtaining a real-time car owner digital rights usage log; dynamically updating the rights usage of the digital rights optimization blockchain according to the real-time car owner digital rights usage log to obtain a dynamically updated digital rights blockchain; Step S5: Conduct a security audit of user rights behavior on the dynamically updated digital rights blockchain, analyze risk rights change behavior, and mark abnormal risk rights change behavior; Step S6: Based on the abnormal risk equity change behavior, the dynamically updated digital equity blockchain is risk optimized, and personalized digital equity service recommendations are made to build an intelligently optimized digital equity blockchain.

2. The method for managing digital rights and interests of car owners based on blockchain according to claim 1 is characterized in that: The specific steps of step S1 are: Step S11: Identify all car owner registration information in the platform; Step S12: classify and extract the vehicle owner registration information to obtain the vehicle owner's personal identity information and vehicle feature information; Step S13: encrypting the personal identity information of the vehicle owner to obtain encrypted identity data of the vehicle owner; Step S14: Editing a smart contract based on the vehicle feature information to generate a vehicle feature smart contract; Step S15: Design a distributed blockchain architecture for the encrypted data of the owner's identity according to the vehicle feature smart contract, and build a distributed blockchain for the owner's information.

3. The method for managing digital rights and interests of car owners based on blockchain according to claim 1 is characterized in that: The specific steps of step S2 are: Step S21: performing digital rights identification on each car owner according to the car owner registration information to obtain digital rights data of each car owner; Step S22: Analyze the rights and interests type of the digital rights and interests data of each car owner to obtain the digital rights and interests type data of each car owner; Step S23: Calculate the validity period of the digital rights type data of each car owner, and extract the validity period timestamp of each digital rights type; Step S24: quantifying the number of digital rights and interests of each car owner to obtain the number of digital rights and interests of the car owner; Step S25: Perform digital rights comprehensive feature analysis on the validity period timestamp of each digital rights type and the digital rights quantity data of the car owner, so as to obtain the digital rights features of each car owner; Step S26: Digitally register the digital rights and interests characteristics of each car owner on the blockchain to generate the digital rights and interests blockchain registration data of each car owner.

4. The method for managing digital rights and interests of car owners based on blockchain according to claim 1, characterized in that: The specific steps of step S3 are: Step S31: Perform equity blockchain circulation analysis on the digital equity blockchain registration data of each car owner to obtain digital equity blockchain circulation data; Step S32: Perform adaptive contract management and update on the digital rights blockchain circulation data, thereby obtaining a digital rights adaptive smart contract; Step S33: positioning the vehicle owner information on the distributed vehicle owner information blockchain based on the digital rights and interests blockchain registration data of each vehicle owner, thereby obtaining the vehicle owner information blockchain positioning data; Step S34: Dynamically mapping digital rights and interests on the distributed blockchain of the vehicle owner information based on the vehicle owner information blockchain positioning data to obtain a distributed blockchain of digital rights and interests mapping; Step S35: Optimize the digital rights contract of the digital rights mapping distributed blockchain based on the digital rights adaptive smart contract to generate a digital rights optimized blockchain.

5. The method for managing digital rights and interests of car owners based on blockchain according to claim 1, characterized in that: The specific steps of step S4 are: Step S41: Obtaining real-time car owner digital rights usage log; Step S42: Perform expired digital rights detection on the real-time digital rights usage log of the car owner to obtain expired and unusable digital rights; Step S43: Identify the digital rights usage information of the real-time car owner's digital rights usage log and extract the digital rights usage record; Step S44: Calculate the available digital rights in real time based on the digital rights usage records, and extract the remaining available digital rights; Step S45: Calculate the final validity period of the remaining available digital rights and interests, and generate an expiration timestamp of the available digital rights and interests; Step S46: Identify the expiring rights based on the expiration timestamp of the available digital rights, and mark the expiring available digital rights; Step S47: Dynamically update the rights usage of the digital rights optimized blockchain based on the expiring available digital rights and the expired unavailable digital rights to obtain a dynamically updated digital rights blockchain.

6. The method for managing digital rights and interests of car owners based on blockchain according to claim 1, characterized in that: The specific steps of step S5 are: Step S51: Conduct a security audit of user rights behavior on the dynamically updated digital rights blockchain to generate dynamic digital rights usage behavior data; Step S52: Analyze the dynamic digital rights usage behavior data one by one in a time series to obtain the time series change data of each digital rights; Step S53: Conduct contract clause compliance analysis on each digital equity time series change data to obtain compliance inference data of abnormal equity behavior; Step S54: Analyze the risk equity change behavior based on the compliance inference data of abnormal equity behavior, and mark the abnormal risk equity change behavior.

7. The method for managing digital rights and interests of car owners based on blockchain according to claim 6 is characterized in that: The specific steps of step S53 are: Carry out regular analysis of dynamic digital rights usage behavior data to generate regular digital rights usage behavior of car owners; Conduct personalized rights usage learning based on the car owner's normalized digital rights usage behavior to generate the car owner's personalized rights usage rules; Extract the digital rights change timestamp based on each digital rights time series change data; Based on the car owner's personalized rights and interests usage rules, the digital rights and interests change timestamp is used to judge the rationality of the rights and interests usage time, and the rationality of the usage time of each rights and interests change behavior is obtained; Car owners’ rights anomaly analysis is performed based on the rationality of the usage time of each rights change behavior, and abnormal car owners’ digital rights usage data is extracted; Tracing abnormal car owners’ digital rights usage data and generating abnormal usage behavior trajectories; Infer system anomalies based on abnormal usage behavior trajectories. If a system anomaly is identified, it will be marked as normal digital rights usage data of the owner. When the system is judged to be normal, the compliance of the contract terms is inferred for the abnormal usage behavior trajectory to obtain the compliance inference data of abnormal rights and interests behavior.

8. The method for managing digital rights and interests of car owners based on blockchain according to claim 1, characterized in that: The specific steps of step S6 are: Step S61: making abnormal risk equity decisions for abnormal risk equity change behaviors to generate risk equity strategies; Step S62: Optimizing the risk of the dynamically updated digital equity blockchain based on the risk equity strategy to generate a risk-optimized digital equity blockchain; Step S63: Car owners' multi-time demand forecasting is performed on the dynamic digital rights usage behavior data to generate car owners' digital rights demand forecasting data; Step S64: Recommend personalized digital rights services based on the predicted data of digital rights needs of the car owner, and build a personalized digital rights recommendation engine; Step S65: Use the personalized digital rights recommendation engine to perform intelligent rights recommendation optimization on the risk-optimized digital rights blockchain to build an intelligently optimized digital rights blockchain.

9. A car owner digital rights management system based on blockchain, characterized in that: Used to execute the blockchain-based car owner digital rights management method as claimed in claim 1, comprising: The architecture design module is used to identify all the car owner registration information in the platform; perform smart contract editing on the car owner registration information, and perform distributed blockchain architecture design to build a distributed blockchain for car owner information; A digital rights registration module is used to identify the digital rights of each car owner based on the car owner registration information, and then perform blockchain digital registration to generate blockchain registration data for the digital rights of each car owner; The equity mapping module is used to dynamically map digital equity and optimize digital equity contracts based on the digital equity blockchain registration data of each car owner and the distributed blockchain of car owner information to generate a digital equity optimized blockchain; A dynamic update module is used to obtain the real-time car owner's digital rights usage log; according to the real-time car owner's digital rights usage log, the digital rights optimization blockchain is dynamically updated to obtain a dynamically updated digital rights blockchain; The risk equity module is used to conduct security audits of user equity behaviors on dynamically updated digital equity blockchains, analyze risk equity change behaviors, and mark abnormal risk equity change behaviors; The intelligent optimization module is used to optimize the risks of dynamically updated digital equity blockchains based on abnormal risk equity change behaviors, and then make personalized digital equity service recommendations to build an intelligently optimized digital equity blockchain.

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