Decentralized Vehicle Data Sharing via Blockchain Nodes

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Centralized databases for vehicle data management are prone to single points of failure, lack data redundancy, and struggle with fraud prevention and privacy management, making them inadequate for secure and efficient data sharing.

Innovation Solution

A decentralized system using a blockchain-based approach with sensors on vehicles, where data is collected and transmitted based on user-defined privacy settings, and smart contracts manage data sharing and compensation among registered recipients.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a centralized database is used to store vehicle data, then data management and control are simplified, but the system becomes vulnerable to single point of failure and lacks data redundancy

Engineering Contradiction:
Improvedata management complexityVSAvoiddata availability reliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent divides the centralized database into multiple distributed database nodes across different locations. Each node stores a portion of the data, eliminating the single point of failure while maintaining manageable data distribution through the network.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements data redundancy by creating multiple copies of data across different database nodes. When data is stored, it is replicated to multiple locations, ensuring that if one node fails, other nodes still contain the data, thus improving reliability without significantly increasing management complexity.

Inventive Principle:
Principle #26Copying

2Device complexity

If a centralized database is used, then data storage is simplified, but fraud prevention and privacy management become difficult

Engineering Contradiction:
Improvedata storage complexityVSAvoidfraud and privacy risks
Core Design Contradiction:
Device complexityVSObject-affected harmful factors

Solution Approach 1:

The patent segments data storage across multiple distributed nodes rather than concentrating it in one location. This distribution makes it more difficult for fraudulent activities to succeed as they would need to compromise multiple nodes, while also enabling finer-grained privacy control over different data segments.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a blockchain layer as an intermediary between data producers and consumers. The blockchain manages access permissions, authentication, and data sharing agreements, making fraud prevention and privacy management more effective without significantly complicating the underlying data storage structure.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Quantity of substance

If data redundancy is minimized in a centralized database, then storage efficiency is improved, but data loss becomes difficult to retrieve

Engineering Contradiction:
Improvestorage space utilizationVSAvoiddata recovery capability
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent implements selective data copying and replication across distributed nodes. Data is replicated to multiple nodes to create redundancy for recovery, but the system manages this efficiently through the distributed architecture, allowing recovery without requiring excessive storage space compared to traditional backup systems.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent incorporates feedback mechanisms through the blockchain that track data integrity and availability across nodes. When data loss is detected or nodes fail, the system can identify and retrieve data from other nodes, providing reliable recovery capability while maintaining efficient storage utilization through targeted redundancy.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12190650B2Vehicle data sharing with interested parties
Publication Date: 2025.01.07 TOYOTA MOTOR NORTH AMERICA INC
  • US12190650B2 patent drawing
  • US12190650B2 patent drawing
  • US12190650B2 patent drawing

AI summary

An example operation may include providing a value to a transport based on sensor data associated the transport.