Vehicle Health Record Blockchain for Trusted Cross-Source Data
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Solution Overview
Problem
Traditional vehicle health record-keeping methods are prone to errors, fraud, and mismanagement, lacking transparency and accessibility, leading to misdiagnoses, undervaluation, and incorrect part purchases due to disparate data formats and nomenclature used by different systems.
Innovation Solution
An AI and blockchain-based vehicle health record system that utilizes a decentralized, secure platform for storing and managing vehicle data, integrating with various data sources, and employing AI/machine learning for predictive insights and data normalization, ensuring immutability and security through blockchain technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional record-keeping methods are used for vehicle health information, then the system is simple to implement, but the data is prone to errors, fraud, and mismanagement with lack of transparency
Solution Approach 1:
The patent introduces a blockchain-based intermediary layer that mediates between various vehicle data sources (OEM systems, repair shops, DMV) and stakeholders. This blockchain intermediary ensures data integrity through cryptographic hashing and distributed ledger technology, preventing fraud and errors while maintaining transparency. The intermediary resolves the contradiction by providing reliable data verification without requiring complete system restructuring.
Solution Approach 2:
The patent creates a universal vehicle health record system that serves multiple functions: storing build information, repair history, diagnostic data, recall information, and ownership records. This multi-functional platform improves reliability across all these data types while using a standardized blockchain infrastructure, thereby managing complexity through consolidation rather than proliferation of separate systems.
2Adaptability or versatility
If multiple different systems (OEM diagnostic tools, dealership management systems, aftermarket diagnostic tools) are used, then various data sources are covered, but data formats and nomenclature differ causing confusion
Solution Approach 1:
The blockchain system acts as a universal intermediary that receives data from diverse sources (OEM diagnostic tools, dealership management systems, aftermarket tools, DMV) and standardizes it through a common data model. Each participant submits data in their native format, but the blockchain intermediary normalizes it into a unified structure, preserving all information while enabling consistent interpretation across all stakeholders.
Solution Approach 2:
The patent implements a universal data model that can accommodate multiple data formats and nomenclatures from different sources. The system maintains adaptability by accepting various input formats while ensuring consistent output through standardized field mappings and normalization rules, thereby preventing information loss during data exchange between systems.
3Ease of operation
If traditional centralized record-keeping is used, then the system is easy to manage, but accessibility and transparency are limited
Solution Approach 1:
The patent segments the centralized control into distributed nodes across the blockchain network. Each participant (vehicle owners, repair shops, manufacturers, DMV) has their own node or access point, enabling simultaneous accessibility for all stakeholders. This segmentation improves both accessibility (everyone can access their data) and trustworthiness (no single point of failure or manipulation).
Solution Approach 2:
The blockchain system provides continuous feedback through its immutable ledger, where each data submission and access event is recorded and verified by the network. This transparent feedback mechanism allows all stakeholders to verify data integrity and access history in real-time, enhancing both accessibility and trustworthiness simultaneously.
Data Source
AI summary
A vehicle health record system and method are described herein that stores comprehensive vehicle data selected from the group consisting of vehicle identification number, vehicle build data, department of motor vehicle data, vehicle parts data, vehicle maintenance data, vehicle repair data, collision data, insurance claim data, vehicle diagnostic data, recall data, vehicle pricing data, and connected car data in a blockchain to provide accurate and reliable representation of a vehicle's history that may be used by a variety of end users for transactions related to the vehicles, including uses related to buy-sell, maintenance, repairs, and insurance transactions. The system further uses artificial intelligence and machine learning technologies to gain insight and provide value-added derivative products and services to all entities engaged in transactions related to vehicles. The system and method described herein can be applied to all types of valuable vehicles and machinery.