Geo-fence Responsibility Management via Server Intermediary
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Solution Overview
Problem
Current geo-fence systems lack efficient methods for determining and managing responsibilities associated with vehicles entering or exiting physical areas, such as tolls or service requirements, leading to resource inefficiencies and transaction complexities.
Innovation Solution
A system and method that utilize a server to determine and provide responsibilities associated with a vehicle entering a geo-fence, verify the satisfaction of these responsibilities, and manage transactions through a blockchain-based decentralized database for secure and transparent record-keeping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional geo-fence systems are used for managing vehicle transactions in physical areas, then basic geo-fence functionality is provided, but resource inefficiencies and transaction complexities increase
Solution Approach 1:
A server acts as an intermediary between the transport and the geo-fence system. The server determines responsibilities associated with entering a geo-fence, provides them to the transport, and verifies satisfaction. This intermediary approach streamlines transactions by centralizing the management logic and reducing direct complexity between transport and geo-fence systems.
Solution Approach 2:
The transport independently enters geo-fences and the system automatically determines and provides responsibilities without requiring manual intervention. The server automatically verifies responsibility satisfaction, enabling self-service operation that reduces transaction complexity and improves efficiency.
2Use of energy by moving object
If manual responsibility determination is used for geo-fence transactions, then flexibility is maintained, but resource consumption increases
Solution Approach 1:
Responsibilities are determined in advance by the server before the transport actually enters the geo-fence. This preliminary determination of responsibilities allows for efficient resource allocation and reduces real-time processing requirements, lowering overall resource consumption while maintaining operational flexibility.
Solution Approach 2:
The server verifies that responsibilities are satisfied and provides feedback to the transport. This feedback mechanism ensures that resources are allocated efficiently based on actual conditions, preventing wasted resources on unfulfilled responsibilities while maintaining the flexibility to adapt to different scenarios.
Data Source
AI summary
An example operation includes one or more of entering, by a transport, a geo-fence, wherein the geo-fence is associated with a physical area, determining, by a server, a responsibility associated with the entering, providing, by the server, the responsibility to the transport, and verifying, by the server, that the responsibility is satisfied.