Blockchain Map Update Verification for Vehicle-Collected Data
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Solution Overview
Problem
Existing map management systems using blockchain technology lack accuracy in map data updates.
Innovation Solution
A map management system utilizing a blockchain framework that includes multiple servers to generate, verify, and selectively update map data based on vehicle data, employing smart contracts and edge computing to improve accuracy and traceability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map update data is stored in blockchain without verification, then traceability is improved, but accuracy of map data deteriorates
Solution Approach 1:
The system performs verification of map update data before storing it in the blockchain. The verification unit checks whether map update data from multiple vehicles satisfies predetermined verification policies (such as matching degree thresholds) before the data is stored in the blockchain, ensuring accuracy while maintaining traceability.
Solution Approach 2:
The verification unit provides feedback on whether map update data meets the verification policy criteria. Based on this feedback, the system selectively stores only verified valid data in the blockchain, creating a feedback loop that ensures data quality while maintaining the integrity and traceability of the blockchain ledger.
2Reliability
If all map update data is stored in blockchain, then traceability is improved, but storage efficiency deteriorates
Solution Approach 1:
The system extracts only the valid map update data that satisfies the verification policy from the total set of received map update data. Only this extracted valid data is stored in the blockchain, while invalid data is excluded, thereby maintaining reliability and traceability while reducing unnecessary data volume in the blockchain.
3Productivity
If cloud server processes all map update data, then centralization is improved, but processing efficiency deteriorates
Solution Approach 1:
The system segments the map data processing tasks between edge servers and cloud servers. Edge servers perform preliminary processing including collecting map update data from vehicles, generating the data, and conducting initial verification. The cloud server then stores the verified data in the blockchain. This segmentation improves processing efficiency by distributing computational load while managing system architecture complexity through clear role definition.
Data Source
AI summary
A map management system includes a plurality of servers that manage map data of a predetermined area. The plurality of servers each include: a storage that records a block chain; and a processor that stores, in the block chain, map update data for updating the map data, the map update data being generated based on data collected from a plurality of vehicles traveling in the area. The processor conducts verification of whether or not a plurality of pieces of map update data satisfy a predetermined verification policy by using a framework of the block chain, and updates the map data by selectively using map update data determined, as a result of the verification, as satisfying the verification policy and thus being valid, among the plurality of pieces of map update data.