Vehicle IoT Data Integration With Consent-Based Dashboard Display
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Solution Overview
Problem
Current transport systems lack efficient methods for data integration and consent management across distributed Internet of Things (IoT) ecosystems, particularly in vehicles, where data from affixed and detachable devices needs to be combined and displayed in a unified manner while ensuring secure and consent-based data sharing.
Innovation Solution
A system that includes a processor and memory for receiving data from affixed and detachable devices, calculating a value based on this data, and displaying it on a dashboard, utilizing blockchain consensus for secure data management and consent validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data from multiple distributed IoT devices are integrated and displayed in a unified manner, then data management capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a transport computer as an intermediary component that receives data from multiple affixed and detachable IoT devices, processes the data, and displays unified information on the dashboard. This mediator handles the complexity of data integration centrally, allowing individual devices to remain simple while achieving sophisticated data aggregation and consent management at the transport level.
2Reliability
If consent-based data sharing is implemented across distributed devices, then data security is improved, but operational complexity increases
Solution Approach 1:
The system performs preliminary consent validation by checking whether a user has provided consent for data sharing before processing or displaying data from detachable devices. The transport computer validates consent status in advance, ensuring data security requirements are met before data integration occurs, thereby preventing unauthorized data access while streamlining the operational process.
3Loss of time
If real-time data processing and display is implemented, then information freshness is improved, but computational load increases
Solution Approach 1:
The transport computer processes and displays data from affixed devices continuously and in real-time, while data from detachable devices is processed selectively based on consent status and relevance. This partial processing approach ensures critical safety and operational data from affixed devices is always fresh, while reducing computational overhead by not continuously processing all available data streams.
Data Source
AI summary
An example operation includes one or more of receiving, by a transport, first data from a first device, wherein the first device is affixed to the transport, receiving, by the transport, second data from a second device, wherein the second device is detachably attached to the transport and wherein the first data and the second data constitute a same unit of measure, and displaying, by the transport, a value based on the first data and the second data.