Vehicle maintenance information processing method and system based on block chain

By introducing blockchain technology into vehicle maintenance information management, the problems of opaque information, easy data tampering and difficult to query in vehicle maintenance information management are solved, and the high credibility and sharing of vehicle maintenance information are achieved.

CN120030088APending Publication Date: 2025-05-23LAUNCH TECH CO LTD
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Patent Information

Application Number
CN202510184198.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-19
Publication Date
2025-05-23

AI Technical Summary

Technical Problem

The existing vehicle maintenance information management methods have problems such as opaque information, easy data tampering, and data loss or difficulty in querying, resulting in insufficient credibility and sharing of vehicle maintenance information.

Method used

The blockchain-based vehicle maintenance information processing method is adopted to ensure the authenticity and immutability of vehicle maintenance data through data collection, verification, encryption and sharing modules, and realize cross-platform data sharing.

Benefits of technology

It improves the credibility and sharing of vehicle maintenance information, ensures the security and transparency of data, and facilitates car owners and relevant parties to query and share a complete vehicle maintenance history.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides a block chain-based vehicle maintenance information processing method and system, and the method comprises the steps: obtaining maintenance data of a target vehicle through a data collection module, the maintenance data comprising fault data, vehicle attribute data and a maintenance record; the data verification module verifies the vehicle attribute data and the maintenance record to obtain a first verification result; when the first verification result meets a preset first verification condition, the block chain network module encrypts the fault data and the maintenance record according to the vehicle attribute data to obtain first encrypted data, and broadcasts the first encrypted data to a query sharing module; after the query sharing module receives the first encrypted data, the block chain network module analyzes the first encrypted data to obtain first analyzed data; and the query sharing module determines query sharing data corresponding to the first analysis data according to the query sharing request and shares the query sharing data. Therefore, the credibility and the sharing degree of the vehicle maintenance information can be improved.
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Claims

1. A method for processing vehicle maintenance information based on blockchain, characterized in that: Applied to an intelligent maintenance system, the intelligent information system includes a data acquisition module, a data verification module, a blockchain network module and a query sharing module, and the method includes: The data acquisition module acquires maintenance data of the target vehicle, the maintenance data including: fault data, vehicle attribute data and maintenance records; The data verification module verifies the vehicle attribute data and the maintenance record to obtain a first verification result; When the first verification result meets the preset first verification condition, the blockchain network module encrypts the fault data and the maintenance record according to the vehicle attribute data to obtain first encrypted data, and broadcasts the first encrypted data to the query sharing module; After the query sharing module receives the first encrypted data, the blockchain network module parses the first encrypted data to obtain first parsed data; The query sharing module determines the query sharing data corresponding to the first parsed data according to a query sharing request, and shares the query sharing data; the query sharing request is a query sharing request of the query sharing module in response to a target user for the maintenance history record of the target vehicle.

2. The method according to claim 1, characterized in that The intelligent maintenance system further includes an intelligent contract module, and the method further includes: The blockchain network module obtains the insurance data and claim data of the target vehicle; Generate a smart auto insurance contract according to the insurance data and the claim data through the smart contract module, and store the smart auto insurance contract in the blockchain network module; the smart auto insurance contract includes: claim operation, claim amount and claim conditions; After the target vehicle is repaired, the blockchain network module obtains the repair data from the data acquisition module; analyzes the repair data and the insurance data to obtain the repair claim amount; When the repair claim amount meets the claim conditions, the smart contract module performs the claim operation according to the claim data, obtains the claim result, and stores the claim result in the blockchain network module; The query sharing module obtains the claim result from the blockchain network module and shares the claim result with the target user.

3. The method according to claim 2, characterized in that The generating of the smart auto insurance contract according to the insurance data and the claim data comprises: Generate a contract identifier according to the insurance data, where the contract identifier is used to identify the smart car insurance contract of the target vehicle; Determine a claim settlement plan based on the claim settlement data based on a preset claim settlement rule to obtain a target claim settlement plan; The contract identifier and the target claim settlement plan are encapsulated to obtain the smart auto insurance contract.

4. The method according to claim 2, characterized in that The analyzing the maintenance data and the insurance data to obtain the maintenance claim amount includes: Determining the effective time of claim settlement of the target vehicle according to the insurance data; When the target vehicle is within the claim settlement validity period, determining the fault type of the fault data to obtain a first fault type; According to a preset fault type and repair amount database, a repair amount corresponding to the first fault type is searched to obtain a first repair amount; the preset fault type and repair amount database pre-stores the repair amount standard corresponding to the vehicle fault type; Counting the number of maintenance records to obtain a first maintenance number; determining a first maintenance cost weight based on the vehicle attribute data, the insurance data and the first maintenance number; determining a target maintenance amount based on the first maintenance amount and the first maintenance cost weight; The repair claim amount is determined according to the target repair amount based on a preset mapping relationship between the repair amount and the claim amount.

5. The method according to claim 1, characterized in that The data verification module verifies the vehicle attribute data and the maintenance record to obtain a first verification result, including: Extracting the vehicle identification code and license plate number of the target vehicle from the vehicle attribute data; Determine the use status of the target vehicle according to the vehicle identification code and the license plate number to obtain a first vehicle status; the first vehicle status includes: one of an in-use status and a scrapped status; When the first vehicle state is in use, determining the maintenance item, maintenance time, and maintenance cost corresponding to the maintenance item in the maintenance record to obtain a first maintenance item and a first maintenance cost; Obtaining a reference maintenance cost range corresponding to the first maintenance item; When the first maintenance cost is within the reference maintenance cost range, the validity of the first maintenance item and the maintenance cost is verified based on a preset verification rule to obtain a first verification result. The preset verification rule is used to determine whether the maintenance items and maintenance costs of the target vehicle meet the maintenance standards and whether the storage format of the maintenance items and maintenance costs meets the blockchain storage standards.

6. The method according to any one of claims 1 to 5, characterized in that: The step of encrypting the fault data and the maintenance record according to the vehicle attribute data to obtain first encrypted data includes: Extract maintenance description information from the maintenance record to obtain multiple maintenance description data; Generate a first secret key according to the vehicle attribute data based on a preset encryption algorithm; The fault data and the plurality of maintenance description data are encrypted based on the first secret key to obtain first encrypted data.

7. The method according to claim 6, characterized in that The step of encrypting the fault data and the plurality of maintenance description data based on the first secret key to obtain first encrypted data includes: Extracting fault data corresponding to target maintenance description data from the fault data to obtain target fault data; the target maintenance description data is any maintenance description data among the multiple maintenance description data; Determining a target encrypted data block according to the target fault data and the target maintenance description data based on the preset encryption algorithm; Generate an encryption check code according to the target encrypted data block by using a hash algorithm; The encryption verification code and the target encrypted data block are encapsulated according to the first secret key to obtain first encrypted data.

8. A vehicle maintenance information processing device based on blockchain, characterized in that: The vehicle maintenance information processing device is applied to an intelligent maintenance system, the intelligent information system includes a data acquisition module, a data verification module, a blockchain network module and a query sharing module, the device includes an acquisition unit, a determination unit, a control unit and a sharing unit, wherein: The acquisition unit is used for the data acquisition module to acquire maintenance data of the target vehicle, and the maintenance data includes: fault data, vehicle attribute data and maintenance records; The determination unit is used for the data verification module to verify the vehicle attribute data and the maintenance record to obtain a first verification result; The control unit is used for the blockchain network module to encrypt the fault data and the maintenance record according to the vehicle attribute data to obtain first encrypted data when the first verification result meets the preset first verification condition, and broadcast the first encrypted data to the query sharing module; The control unit is further configured for the blockchain network module to parse the first encrypted data to obtain first parsed data after the query sharing module receives the first encrypted data; The sharing unit is used for the query sharing module to determine the query sharing data corresponding to the first parsed data according to the query sharing request, and share the query sharing data; the query sharing request is the query sharing request of the query sharing module in response to the target user for the maintenance history record of the target vehicle.

9. An electronic device, characterized in that: include: A processor, a memory, a communication interface, and one or more programs; The one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for executing the steps in the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 7.