Blockchain Accident Data Query via Segmented Transport Profiles
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Solution Overview
Problem
Current systems lack an efficient and secure method for collecting and sharing video data from multiple vehicles involved in accidents, which is crucial for identifying fault but often unavailable due to centralized storage limitations and privacy concerns.
Innovation Solution
A blockchain-based system that allows accident processing nodes to query and access video data from transport profiles stored on a blockchain, utilizing smart contracts for consensus-based data sharing, ensuring secure and decentralized storage and access to relevant video evidence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video data is stored centrally, then data access is simplified, but security and privacy concerns increase
Solution Approach 1:
The patent segments video data storage across multiple decentralized transport nodes rather than centralizing it. Each transport stores video data locally in its own data structure, and the accident processing party queries multiple transports individually to retrieve relevant video evidence. This segmentation eliminates single-point security vulnerabilities while maintaining data accessibility through distributed queries.
Solution Approach 2:
The patent introduces an intermediary query mechanism where the accident processing party acts as a mediator between video data storage and retrieval. Instead of direct centralized access or chaotic decentralized access, the intermediary systematically queries transports based on accident parameters (time, location, direction) to retrieve relevant video data. This intermediary layer maintains security while enabling efficient data access.
2Measurement precision
If video data from multiple transports is collected, then fault identification accuracy improves, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-organizing video data in structured data structures at each transport, tagged with metadata including time, location, direction, and accident relevance. When an accident occurs, the accident processing party can immediately query these pre-organized structures using accident parameters without needing to process raw unstructured data. This preliminary organization reduces the complexity of collecting and analyzing video data from multiple transports while improving fault identification accuracy.
3Reliability
If video data is stored locally on each transport, then security is improved, but data retrieval efficiency decreases
Solution Approach 1:
The patent implements feedback through a systematic query-response mechanism. The accident processing party sends queries with specific parameters (time, location, direction) to transports, and transports respond with relevant video data if their data matches the criteria. This feedback loop enables efficient retrieval by continuously narrowing down which transports have relevant data based on accident parameters, maintaining security through local storage while improving retrieval efficiency through targeted queries.
Data Source
AI summary
An example operation may include one or more of receiving, by an accident processing node, an accident report from a transport, determining, by an accident processing node, a time and location parameters of the accident based on the report, querying, by an accident processing node, transport profiles on a storage based on the time and location parameters, and responsive to the transport profiles containing data corresponding to the time and location parameters, sending a request to access the transport profiles.