Vehicle Component Usage Tracking With Blockchain Token Allocation
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Solution Overview
Problem
Current systems lack an efficient method to track and manage the usage of vehicle components, particularly in terms of authorization and token allocation, which can lead to unauthorized access and misuse.
Innovation Solution
A blockchain-based system that receives and stores data blocks containing component identifiers and usage data, allocates tokens based on usage rules, and validates user authorization, ensuring secure and transparent usage tracking and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a blockchain-based system is implemented to track component usage, then security and transparency are improved, but device complexity increases
Solution Approach 1:
The patent introduces a blockchain network as an intermediary layer between the vehicle component system and the token management system. This blockchain intermediary securely stores component usage data and manages token allocation without requiring direct complex interactions between all system components, thereby improving security while managing complexity through modular architecture.
Solution Approach 2:
The system is segmented into distinct functional modules: a vehicle component module that generates usage data, a blockchain module that stores and validates data, and a token allocation module that distributes tokens based on usage rules. This segmentation allows each module to be optimized independently, improving overall security while making the complex system more manageable and maintainable.
2Measurement precision
If detailed usage data is tracked and stored in the blockchain, then measurement precision is improved, but loss of information increases due to storage requirements
Solution Approach 1:
The patent extracts only the essential usage data elements needed for token allocation into the blockchain, separating critical information (component identifier, usage timestamp, usage quantity) from redundant data. This extraction approach maintains measurement precision for token calculation purposes while minimizing storage overhead by excluding unnecessary information.
Solution Approach 2:
The system applies different data storage strategies to different types of information: detailed usage data is stored in the blockchain for components requiring precise tracking, while aggregated or less critical data is stored locally or omitted. This local quality approach optimizes the balance between measurement precision and storage efficiency based on specific component requirements.
3Productivity
If real-time validation and token allocation are performed, then productivity is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring usage rules and token allocation parameters in the blockchain before actual component usage occurs. This preliminary setup enables automated real-time token allocation based on predetermined rules, improving processing efficiency while reducing the complexity of real-time decision-making logic.
Solution Approach 2:
The blockchain system automatically validates usage data and allocates tokens based on predefined rules without requiring manual intervention or complex centralized processing. This self-service mechanism improves productivity by enabling automated real-time operations while reducing the complexity associated with manual management and centralized control systems.
Data Source
AI summary
A method includes receiving a first data block including an identifier for a component, receiving a second data block including usage data for the component and a link to the first data block, storing the first and second data blocks in a blockchain, and allocating respective usage tokens to each of a plurality of entities based on the usage data.