Automobile rental system based on information interaction

Abstract

The invention provides an automobile leasing system based on information interaction, and the system comprises a user terminal module which is used for receiving leasing demand information inputted by a user and displaying a leasing matching result and transaction information; the vehicle terminal module is integrated in a rented vehicle, collects vehicle state data in real time and uploads the vehicle state data to the cloud server; the server module comprises a demand matching unit, a transaction management unit and an information interaction unit; relates to the technical field of automobile leasing. According to the system, information interaction is taken as a core, and an automobile leasing closed loop covering a whole chain of demand submission, resource matching, contract execution, automobile control, data collaboration and default arbitration is constructed, so that a leasee, a lender and an insurance party can complete decentralized signing through digital signatures; and ciphertext amount verification and automatic account division are carried out depending on a homomorphic encryption technology adopted in a payment link, so that transaction privacy and real-time performance are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of car rental, and specifically to a car rental system based on information interaction. Background Art

[0002] With the rapid development of the car rental industry, the existing technologies generally adopt a rental model that combines online and offline. That is, after the renter submits a demand through a mobile terminal or a website, the lending platform relies on manual review of identity information, telephone confirmation of vehicle availability, and manages lease contracts and payment processes through a centralized database. And during the process of the renter using the vehicle, the lender will manually update the vehicle status (such as location, fuel level) regularly or report it through basic in-vehicle devices. Although some lending platforms have introduced GPS positioning functions, the data interaction is still limited within a single system, and the transaction links mostly rely on third-party payment institutions for guarantee, so that the contract terms are archived in the form of paper or ordinary electronic documents and lack the ability of automated execution. Although such technologies have initially achieved onlineization, there are significant bottlenecks in resource matching efficiency, transaction transparency, and data collaboration capabilities.

[0003] Therefore, the existing technologies still have the following defects that need to be solved or improved

[0004] (1) Low matching efficiency: The manual screening and static algorithms relied on by the lender cannot respond to market demand changes in real time, resulting in a low vehicle turnover rate;

[0005] (2) Fragile trust mechanism: The centralized platform is prone to tampering with contracts or payment records. The renter needs to rely on a third-party guarantee institution, increasing transaction costs and the risk of disputes;

[0006] (3) Serious data islands: Vehicle status, insurance services, and user behavior data are scattered in independent systems, making it difficult to achieve cross-platform resource optimization;

[0007] (4) Insufficient privacy protection: Sensitive information (such as biometrics, payment records) is only transmitted using basic encryption, posing risks of leakage and abuse. Summary of the Invention

[0008] The purpose of the present invention is to provide a car rental system based on information interaction to solve the problems raised in the background art above and overcome the existing technical defects.

[0009] To solve the above technical problems, the technical solution adopted by the present invention is as follows: An information interaction-based car rental system includes a user terminal module, which is used to receive rental demand information input by users and display rental matching results and transaction information; a vehicle terminal module, which is integrated into rental vehicles, collects vehicle status data in real time and uploads it to the cloud server; and a server module, which includes a demand matching unit, a transaction management unit, and an information interaction unit. The demand matching unit generates a rental plan based on user needs and vehicle status data. The transaction management unit records rental contracts and payment information through blockchain technology. The information interaction unit dynamically synchronizes data among the user terminal, the vehicle terminal, and the third-party service platform.

[0010] As a further solution of the present invention: A user authentication sub-module that can be bound to the user's identity is provided in the user terminal module. The user authentication sub-module includes a biometric recognition unit, a digital signature unit, and an authentication linkage unit. The biometric recognition unit enables the user to obtain user biometric information in at least one of fingerprint recognition, facial feature scanning, or iris verification. The digital signature unit generates a private key signature that can be bound to the user's rental behavior based on an asymmetric encryption algorithm. The authentication linkage unit associates the authentication information of the biometric recognition unit and the digital signature unit and uploads it to the server module for dual verification.

[0011] As a further solution of the present invention: The demand matching unit uses a multi-dimensional weight algorithm including user preferences, vehicle location, rental duration, and historical behavior data to calculate and match user needs. The multi-dimensional weight algorithm includes a user preference dimension, a vehicle location dimension, and a dynamic weight allocation module. The user preference dimension and the vehicle location dimension are the adjustment bases for the dynamic weight allocation module.

[0012] As a further solution of the present invention: A rental price pricing model that is dynamically adjusted according to market supply and demand relationships is provided in the transaction management unit. The rental price pricing model includes a market supply and demand analysis module, a price adjustment strategy module, and a price feedback module. The market supply and demand analysis module generates a benchmark price for user rental by crawling public price data of similar vehicle rental platforms and combining the vehicle vacancy rate of this platform. The price adjustment strategy module makes floating corrections to the benchmark price according to the user's rental duration, vehicle wear prediction, and regional popularity differences. The price feedback module pushes the price adjustment result to the user terminal in real time and records the price adjustment logic to the blockchain for evidence storage.

[0013] As a further solution of the present invention: The blockchain content includes a smart contract for automatically executing rental conditions, payment splitting, and default handling information.

[0014] As a further solution of the present invention: The vehicle terminal module includes a remote control sub-module that supports users to unlock the vehicle or restrict driving permissions through the terminal. The terminal sub-module includes an instruction receiving unit, an execution feedback unit, and an emergency intervention unit. The instruction receiving unit obtains vehicle control instructions issued by the server through a mobile network or a Bluetooth communication protocol. The execution feedback unit controls the driving state of the vehicle and returns the execution result to the server. The emergency intervention unit automatically detects abnormal states and performs emergency processing on the vehicle.

[0015] As a further solution of the present invention: The information interaction unit is integrated with a third-party insurance platform and generates customized insurance services according to the rental plan.

[0016] As a further solution of the present invention: The server module is provided with a data encryption sub-module for hierarchical desensitization processing of interaction information. The data encryption sub-module includes a data classification unit, an encryption policy unit, and a desensitization rule unit. The data classification unit divides the interaction data into data information that can be read by the encryption policy unit. The encryption policy unit performs privacy processing on the data information. The desensitization rule unit privately shares the data after privacy processing with the server.

[0017] As a further solution of the present invention: The intelligent contract is provided with a rental process control sub-module. The rental process control sub-module includes a requirement analysis unit and a contract generation unit. The requirement analysis unit extracts and analyzes the requirement information uploaded by the user terminal through natural language processing technology. The contract generation unit generates a signable electronic contract through the requirement information and the intelligent contract template.

[0018] As a further solution of the present invention: The rental process control sub-module further includes a default handling sub-module. The default handling sub-module includes a default condition monitoring unit, a hierarchical execution unit, and an arbitration interface unit. The default condition monitoring unit matches with the contract and monitors the potential abnormal user status. The hierarchical execution unit gives restriction measures according to the abnormal level of the abnormal user. The arbitration interface unit automatically generates an arbitration evidence chain for the abnormal user.

[0019] Compared with the prior art, the beneficial effects of the present invention include:

[0020] 1. The system in this application takes information interaction as the core and constructs a full-chain car rental closed-loop covering "demand submission - resource matching - contract execution - vehicle control - data collaboration - default arbitration", enabling the lessor, lender, and insurer to complete decentralized signing through digital signatures, and relying on the homomorphic encryption technology used in the payment link for ciphertext amount verification and automatic account splitting to ensure transaction privacy and real-time performance.

[0021] 2. After the contract takes effect, the server remotely controls the vehicle terminal to unlock the door or restrict driving rights through encrypted commands. During the operation of the vehicle, it continuously collects data such as GPS trajectory and speed and transmits them back to the server through lightweight TLS protocol encryption. In addition, the server can also trigger a hierarchical response mechanism in abnormal conditions to protect the benefits of the lender and avoid the risk of vehicle theft.

[0022] 3. This application uses the information interaction unit to simultaneously connect to the third-party insurance platform API, generates customized insurance policies based on user driving behavior scores and links them to blockchain contracts, which can realize automatic claims for accidents. In addition, when a breach of contract occurs, the system automatically captures vehicle data snapshots, contract terms and payment records, builds an unalterable evidence chain through blockchain evidence storage, and pushes it to the arbitration platform to complete automated judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The disclosure of the present invention is described with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. In the accompanying drawings, the same reference numerals are used to refer to the same components. Among them:

[0024] Figure 1 A schematic diagram of an implementation method framework proposed according to an embodiment of the present invention is schematically shown;

[0025] Figure 2 The flowchart schematically shows the specific implementation steps proposed according to one embodiment of the present invention. DETAILED DESCRIPTION

[0026] It is easy to understand that according to the technical solution of the present invention, without changing the essential spirit of the present invention, a person skilled in the art can propose a variety of interchangeable structural modes and implementation modes. Therefore, the following specific implementation modes and drawings are only exemplary descriptions of the technical solution of the present invention, and should not be regarded as the whole of the present invention or as a limitation or restriction to the technical solution of the present invention.

[0027] According to an embodiment of the present invention, in combination with the accompanying drawings, a car rental system based on information interaction is shown, including a user terminal module, the user terminal module is used to receive rental demand information input by the user and display rental matching results and transaction information; a vehicle terminal module, the vehicle terminal module is integrated in the rental vehicle, collects vehicle status data in real time and uploads it to the cloud server; and a server module, the server module includes a demand matching unit, a transaction management unit and an information interaction unit, the demand matching unit generates a rental plan based on user demand and vehicle status data, the transaction management unit records the rental contract and payment information through blockchain technology, and the information interaction unit dynamically synchronizes the data of the user terminal, the vehicle terminal and the third-party service platform. This embodiment solves the problems of low efficiency, lack of transaction trust and data islands in traditional rental by integrating the dynamic matching of user demand and vehicle status, blockchain transaction evidence and multi-platform information. Specifically, the system realizes accurate docking between users and vehicles through the demand matching unit, completes decentralized transaction verification through blockchain technology, and supports multi-platform data interaction to optimize resource allocation, so it has the innovative advantages of resource integration and de-trust.

[0028] Other embodiments of the present invention: A user authentication submodule that can be bound to the user identity is provided in the user terminal module, and the user authentication submodule includes a biometric unit, a digital signature unit and an authentication linkage unit. The biometric unit allows the user to obtain user biometric information in at least one of fingerprint recognition, facial feature scanning or iris verification. The digital signature unit generates a private key signature that can be bound to the user's leasing behavior based on an asymmetric encryption algorithm. The authentication linkage unit associates the authentication information of the biometric unit and the digital signature unit and uploads it to the server module for double verification. Therefore, this embodiment can ensure the uniqueness of the user identity through biometric recognition, and realize non-repudiation of operations in combination with digital signatures. The double verification mechanism can prevent identity impersonation or tampering, and ensure the security of the entire leasing link.

[0029] Other embodiments of the present invention: The demand matching unit calculates and matches user demands using a multi-dimensional weight algorithm including user preferences, vehicle location, rental duration, and historical behavior data. The multi-dimensional weight algorithm includes a user preference dimension, a vehicle location dimension, and a dynamic weight allocation module. The user preference dimension specifically includes preference tags that can be generated based on the user's historical rental vehicle models, price sensitivity, and evaluation feedback. The vehicle location dimension calculates the physical distance and path travel time between the user and available vehicles based on real-time geofence data. The user preference dimension and the vehicle location dimension are the adjustment bases for the dynamic weight allocation module. Specifically, the dynamic weight allocation module can dynamically adjust the matching weight coefficients of each dimension according to the rental period, vehicle idle rate, and user credit rating. Therefore, this embodiment can achieve high-precision supply-demand matching by tagging user demands and vehicle statuses and combining a dynamic weight optimization algorithm, reduce manual screening costs, and improve the turnover rate of vehicles.

[0030] Other embodiments of the present invention: The transaction management unit is equipped with a rental pricing model that dynamically adjusts according to market supply and demand relationships. The rental pricing model includes a market supply and demand analysis module, a price adjustment strategy module, and a price feedback module. The market supply and demand analysis module generates a benchmark price for user rentals by scraping public price data from rental platforms of similar vehicle models and combining the vehicle idle rate of this platform. The price adjustment strategy module makes floating corrections to the benchmark price according to the user's rental duration, vehicle wear prediction, and regional popularity differences. The price feedback module pushes the price adjustment results to the user terminal in real time and records the price adjustment logic on the blockchain for evidence. Therefore, on the one hand, this embodiment can customize prices based on an intelligent pricing mechanism that combines market dynamics and resource consumption to avoid price rigidity. On the other hand, it can ensure the transparency and credibility of the price adjustment process through blockchain evidence storage and enhance the market competitiveness of the system.

[0031] Other embodiments of the present invention: The blockchain content includes a smart contract that automatically executes rental conditions, payment splitting, and default handling information. The smart contract contains data on contract trigger conditions, automatic execution logic, and splitting rules. The contract trigger conditions include trigger parameters for the user's payment status, vehicle terminal status, and electronic signature verification status. The automatic execution logic includes trigger parameters for the segmented settlement of rent by time slices, automatic deductions in case of abnormal vehicle use, and insurance claims. The splitting rules allocate the rent to the accounts of the vehicle owner, platform, and third-party service providers according to a preset ratio, enabling the contract to eliminate human operation delays and disputes after reading and verifying the blockchain during execution and automatically execute the contracts of the lender, insurer, and lessee, thus realizing a decentralized trust closed-loop for rental transactions.

[0032] Other embodiments of the present invention: The vehicle terminal module includes a remote control sub-module that supports users to unlock the vehicle or restrict driving permissions through the terminal. The terminal sub-module includes an instruction receiving unit, an execution feedback unit and an emergency intervention unit. The instruction receiving unit obtains the vehicle control instruction issued by the server through the mobile network or Bluetooth communication protocol. The execution feedback unit controls the vehicle driving status and transmits the execution result back to the server. The specific process is to drive the vehicle central control system to execute door unlocking, engine start and stop or speed limit operations to limit the use of the lessee, and promptly transmit the execution result back to the server after the restriction. The emergency intervention unit automatically detects abnormal status and performs emergency processing on the vehicle. This process will automatically trigger the vehicle lock and send an alarm when abnormal displacement of the vehicle or invalid user identity is detected to ensure the safety of the participants. Therefore, this embodiment, after combining abnormal behavior monitoring and emergency response, uses Internet of Things technology to achieve remote and precise control of the vehicle status to reduce the risk of vehicle theft or abuse.

[0033] Other embodiments of the present invention: The information interaction unit is integrated with a third-party insurance platform and generates customized insurance services based on the leasing plan. Specifically, the information interaction unit is internally provided with an insurance interface module, an insurance recommendation engine and a policy synchronization module which are integrated with the third-party insurance platform. The specific integration method is that the insurance interface module calls the API of the third-party platform to obtain insurance product data and user historical claims records. The insurance recommendation engine generates a personalized insurance plan based on the user's rental duration, driving behavior score and vehicle type. Finally, the policy synchronization module writes the insurance terms selected by the user into the blockchain smart contract and associates it with the lease agreement. Therefore, this embodiment opens up the insurance service chain through the data interface, realizes a deep customized combination of insurance products and leasing scenarios, and uses blockchain to ensure the authenticity and immutability of the policy, and to ensure the compliance and legal rights and interests of all participants.

[0034] Other embodiments of the present invention: A data encryption sub-module for classifying and desensitizing interactive information is provided inside the server module. The data encryption sub-module includes a data classification unit, an encryption policy unit, and a desensitization rule unit. The data classification unit divides the interactive data into data information that can be read by the encryption policy unit. This type of information includes, but is not limited to, interactive data containing user privacy data (such as identity information), vehicle operation data (such as GPS trajectories), and transaction data (such as payment amounts). The encryption policy unit performs privacy processing on the data information. Specifically, the privacy processing encrypts personal privacy data through the AES-256 encryption algorithm, encrypts vehicle privacy data through the lightweight TLS protocol, and encrypts transaction data through the homomorphic encryption technology. The desensitization rule unit privately shares the data after privacy processing with the server. This private sharing deletes direct identifiers (such as names, license plate numbers) and replaces them with blockchain for encrypted transmission and sharing. Therefore, through the hierarchical encryption and desensitization strategy, this embodiment meets the requirements of privacy protection regulations while ensuring data availability and avoiding the leakage of sensitive information.

[0035] Specifically, the AES-256 encryption algorithm uses the AES-256-GCM mode, combined with a 12-byte random initialization vector (IV) and additional authentication data (AAD), to generate an authentication tag during encryption to prevent tampering. And the key is generated and hosted by the hardware security module (HSM). The encrypted data is completed locally by the user terminal before transmission. The server only stores the ciphertext. At the same time, it matches the hardware acceleration instruction set (such as AES-NI) to improve the encryption and decryption efficiency and ensure real-time requirements.

[0036] As for the lightweight TLS protocol encryption, the TLS1.3 protocol is selected to streamline the handshake process, reduce the consumption of computing resources while ensuring security (using the ECDHE-ECDSA-AES128-GCM-SHA256 cipher suite). At the same time, the vehicle terminal pre-sets a certificate and performs two-way authentication with the server. The session key is rotated every 5 minutes. Therefore, it supports the DTLS (Datagram Transport Layer Security) extension to adapt to the UDP communication scenario when the in-vehicle network is unstable, with the advantages of reducing the computing load of in-vehicle embedded devices, ensuring low-latency transmission of real-time data, and preventing man-in-the-middle attacks and data eavesdropping.

[0037] As for the homomorphic encryption, the Paillier semi-homomorphic encryption algorithm is used, which allows the server to directly perform addition operations on the encrypted rental amount (such as calculating the total revenue) without decrypting. And the transaction data is encrypted and uploaded by the user terminal. The smart contract can only be executed after verifying the legality of the payment amount through the homomorphic attribute. In addition, the private key is shard-hosted by the blockchain nodes, and decryption requires multi-node collaboration to avoid the risk of single-point leakage. Therefore, it can support the confidential execution of business logic while protecting transaction privacy.

[0038] Other embodiments of the present invention: A lease process control sub-module is provided in the smart contract. The lease process control sub-module includes a demand analysis unit and a contract generation unit. After the demand is analyzed, a multi-threaded task queue is created based on the lease plan generated by the demand matching unit and the real-time matching progress is pushed to the user terminal. The demand analysis unit extracts and analyzes the demand information uploaded by the user terminal (including vehicle type requirements, lease period, price range, etc.) through natural language processing technology. The contract generation unit generates a signable electronic contract through the demand information and the smart contract template. Therefore, after receiving the contract execution instruction, the smart contract will send an encrypted control signal to the vehicle terminal module to trigger vehicle unlocking or function restriction operations. Thus, this embodiment can improve the matching response speed through demand analysis and dynamic queue management, and at the same time realize the standardization and security of the lease process through contract templatization and vehicle control signal encryption.

[0039] Other embodiments of the present invention: The lease process control sub-module further includes a default handling sub-module. The default handling sub-module includes a default condition monitoring unit, a hierarchical execution unit, and an arbitration interface unit. The default condition monitoring unit matches with the contract and monitors the potential abnormal user status (specifically, continuously compares the GPS data uploaded by the vehicle terminal with the electronic fence range agreed in the contract, and monitors the balance status of the user's payment account to determine whether the customer is in an abnormal state). The hierarchical execution unit gives restriction measures according to the abnormal level of the abnormal user (triggers different responses according to the severity of the default, including sending a warning notice, restricting the maximum speed of the vehicle, or remotely forcing the engine to stop). The arbitration interface unit automatically generates an arbitration evidence chain for the abnormal user (can be connected to the API of a third-party arbitration platform, and automatically packages the timestamp of the default event, the vehicle status snapshot, and the contract terms into an arbitration evidence chain). Therefore, this embodiment can minimize the default loss on the premise of ensuring vehicle safety through real-time data monitoring and hierarchical response mechanism, and at the same time accelerate the arbitration process by using automated evidence chain generation to protect the legitimate rights and interests of the lender.

[0040] Therefore, please refer to Figure 1 and Figure 2 , specific implementation methods and steps are proposed in this application based on the car rental system in the embodiment, including

[0041] Identity authentication part

[0042] Step S1: The user terminal receives the lease demand information input by the user, including vehicle type screening conditions, lease period, and geographical location preferences, and completes identity authentication through biometric and digital signature technologies;

[0043] Price negotiation and cooperation deployment part

[0044] Step S2: The vehicle terminal collects vehicle status data in real time, including GPS location, remaining battery power, and fault codes, and encrypts and transmits them to the server through the lightweight TLS protocol;

[0045] Step S3: Based on user requirements and vehicle status data, the server generates a rental plan using a multi-dimensional weight algorithm, which dynamically assigns matching weights for user preferences, real-time vehicle location, and rental duration;

[0046] Step S4: According to market supply and demand data and vehicle wear prediction, the transaction management unit dynamically generates a rental price quote through a blockchain smart contract and stores the price adjustment logic in the distributed ledger;

[0047] Step S5: After the user selects a plan, the server calls the smart contract template to generate an electronic agreement, and the user and the vehicle terminal complete the decentralized signing through digital signatures and electronic seals respectively;

[0048] Tripartite rights and interests protection part

[0049] Step S6: After the contract comes into effect, the server sends an encrypted control instruction to the vehicle terminal to trigger door unlocking or driving permission restriction operations and monitors the vehicle status in real time;

[0050] Step S7: The information interaction unit calls the API of a third-party insurance platform, generates a customized insurance plan based on the user's driving behavior score and vehicle type, and associates the insurance policy terms with the blockchain contract;

[0051] Step S8: The default handling sub-module compares the vehicle's GPS data with the electronic fence range in real time. If abnormal behavior is detected, it triggers a hierarchical response measure and generates an automated evidence chain through the arbitration interface.

[0052] Working principle: This system takes information interaction as the core and constructs a full-chain car rental closed-loop covering "demand submission - resource matching - contract execution - vehicle control - data collaboration - default arbitration". Specifically, after the user submits a rental demand through the terminal, the system first completes the dual identity authentication of the lessee based on biometrics (fingerprint / face) and digital signatures. After the authentication is passed, the demand matching unit generates multiple rental plans through a dynamic weight algorithm in combination with user preference tags (historical vehicle models, price sensitivity), real-time vehicle status (GPS location, remaining battery power), and market dynamic data (competitor prices, regional popularity), and outputs a floating rental price quote in combination with a smart pricing model (considering vehicle wear and rental duration); after the lessee selects a plan, the transaction management unit calls the blockchain smart contract template and encrypts and writes the rental terms, insurance services, and profit sharing rules into the contract, enabling the lessee, lender, and insurer to complete the decentralized signing through digital signatures, and relying on the homomorphic encryption technology used in the payment link for ciphertext amount verification and automatic profit sharing to ensure transaction privacy and real-time performance.

[0053] After the contract comes into effect, the server remotely controls the vehicle terminal to unlock the door or restrict the driving authority through encrypted instructions, continuously collects data such as GPS trajectories and vehicle speeds during vehicle operation, and encrypts and uploads them back to the server through the lightweight TLS protocol. In addition, the server can trigger a hierarchical response mechanism in abnormal states to safeguard the benefits of the lender. In addition, through the information interaction unit, the API of the third-party insurance platform is synchronously connected, and a customized insurance policy is generated based on the user's driving behavior score and associated with the blockchain contract, enabling automatic claims settlement for accidents. When a default event occurs, the system automatically captures snapshots of vehicle data, contract terms, and payment records, constructs an immutable evidence chain through blockchain forensics, and pushes it to the arbitration platform to complete automated adjudication.

[0054] Throughout the entire process, user privacy data is encrypted end-to-end by AES-256, transaction data uses homomorphic encryption to support ciphertext computing, and vehicle data is protected by the TLS protocol to ensure transmission security, enabling the system to meet the privacy requirements of all parties while improving resource matching efficiency and vehicle turnover rate, forming an innovative leasing ecosystem of "data-driven decision-making, cryptography ensuring security, and blockchain reconstructing trust".

[0055] The technical scope of the present invention is not limited to the content described above. Those skilled in the art can make various deformations and modifications to the above embodiments without departing from the technical idea of the present invention, and these deformations and modifications should all fall within the protection scope of the present invention.

Claims

1. A car rental system based on information interaction, characterized in that It includes a user terminal module, which is used to receive the rental demand information input by the user and display the rental matching results and transaction information; A vehicle terminal module, which is integrated in the rental vehicle, collects vehicle status data in real time and uploads it to the cloud server; And A server module, which includes a demand matching unit, a transaction management unit and an information interaction unit. The demand matching unit generates a rental plan based on the user's demand and vehicle status data. The transaction management unit records the rental contract and payment information through blockchain technology. The information interaction unit dynamically synchronizes the data of the user terminal, vehicle terminal and third-party service platform.

2. The car rental system based on information interaction according to claim 1, characterized in that, The user terminal module is provided with a user authentication sub-module that can be bound to the user's identity. The user authentication sub-module includes a biometric recognition unit, a digital signature unit and an authentication linkage unit. The biometric recognition unit enables the user to obtain user biometric information in at least one of fingerprint recognition, facial feature scanning or iris verification. The digital signature unit generates a private key signature that can be bound to the user's rental behavior based on the asymmetric encryption algorithm. The authentication linkage unit associates the authentication information of the biometric recognition unit and the digital signature unit and uploads it to the server module for dual verification.

3. An information interaction-based car rental system according to claim 1, characterized in that, The demand matching unit uses a multi-dimensional weight algorithm including user preferences, vehicle location, rental duration and historical behavior data to calculate and match the user's demand. The multi-dimensional weight algorithm includes a user preference dimension, a vehicle location dimension and a dynamic weight distribution module. The user preference dimension and the vehicle location dimension are the adjustment bases of the dynamic weight distribution module.

4. The car rental system based on information interaction according to claim 1, characterized in that, The transaction management unit is provided with a rental price pricing model that is dynamically adjusted according to the market supply and demand relationship. The rental price pricing model includes a market supply and demand analysis module, a price adjustment strategy module and a price feedback module. The market supply and demand analysis module generates a benchmark price for user rental by crawling the public price data of the rental platforms of similar models and combining the vehicle vacancy rate of this platform. The price adjustment strategy module makes a floating correction to the benchmark price according to the user's rental duration, vehicle loss prediction and regional popularity difference. The price feedback module pushes the price adjustment result to the user terminal in real time and records the price adjustment logic to the blockchain for evidence storage.

5. An automobile rental system based on information interaction according to claim 4, characterized in that, The blockchain content includes a smart contract for automatically executing rental conditions, payment sharing and default handling information.

6. The car rental system based on information interaction according to claim 1, characterized in that, The vehicle terminal module includes a remote control sub-module that supports the user to unlock the vehicle or restrict the driving authority through the terminal. The terminal sub-module includes an instruction receiving unit, an execution feedback unit and an emergency intervention unit. The instruction receiving unit obtains the vehicle control instruction sent by the server through the mobile network or Bluetooth communication protocol. The execution feedback unit controls the vehicle driving state and returns the execution result to the server. The emergency intervention unit automatically detects abnormal states and performs emergency processing on the vehicle.

7. A car rental system based on information interaction according to claim 1, characterized in that, The information interaction unit is integrated with a third-party insurance platform and generates customized insurance services according to the rental plan.

8. An information interaction-based car rental system according to claim 1, characterized in that, The server module is provided with a data encryption sub-module for classifying and desensitizing interactive information. The data encryption sub-module includes a data classification unit, an encryption policy unit, and a desensitization rule unit. The data classification unit divides the interactive data into data information that can be read by the encryption policy unit. The encryption policy unit performs privacy processing on the data information. The desensitization rule unit privately shares the data after privacy processing with the server.

9. An information interaction-based car rental system according to claim 5, characterized in that, The intelligent contract is provided with a lease process control sub-module. The lease process control sub-module includes a requirement parsing unit and a contract generation unit. The requirement parsing unit extracts and analyzes the requirement information uploaded by the user terminal through natural language processing technology. The contract generation unit generates a signable electronic contract based on the requirement information and the intelligent contract template.

10. The car rental system based on information interaction according to claim 9, characterized in that, The lease process control sub-module further includes a default handling sub-module. The default handling sub-module includes a default condition monitoring unit, a hierarchical execution unit, and an arbitration interface unit. The default condition monitoring unit matches with the contract and monitors the potential abnormal user status. The hierarchical execution unit gives restrictive measures according to the abnormal level of the abnormal user. The arbitration interface unit automatically generates an arbitration evidence chain for the abnormal user.

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