Connected Vehicle Issue Detection via Cloud-Mediated Handshake
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Solution Overview
Problem
Connected vehicles face challenges in identifying and communicating diagnostic information to the correct surrounding vehicles, as they lack the ability to correlate sensor data with vehicle identifications, hindering effective issue detection and communication.
Innovation Solution
A crowd-sourced approach using wireless transceivers and processors for ego devices to handshake with surrounding mobile devices, receive identifiers, and send notification messages indicating device issues, with a cloud server aggregating data to deduce which vehicles are experiencing persistent problems through anonymized data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If vehicles use sensor data to detect surrounding vehicles, then issue detection capability is improved, but the ability to correlate sensor data with vehicle identifications deteriorates
Solution Approach 1:
The patent introduces an intermediary system comprising cloud servers and message brokers that mediate between sensor data collection and vehicle identification. Surrounding vehicles send anonymized diagnostic messages and sensor data to the cloud server, which then correlates this data with vehicle identifiers through a message broker system, resolving the information loss problem without requiring direct vehicle-to-vehicle correlation capability
Solution Approach 2:
The patent replaces the mechanical approach of direct vehicle-to-vehicle data correlation with an information-based system using wireless communication and cloud processing. Instead of vehicles directly correlating sensor data with identifiers through complex onboard processing, the system uses wireless message transmission and cloud-based data aggregation to achieve correlation, simplifying the onboard vehicle system
2Productivity
If vehicles exchange diagnostic information directly, then communication efficiency is improved, but the complexity of identifying and communicating with the correct vehicles increases
Solution Approach 1:
The cloud server acts as an intermediary that receives diagnostic information from surrounding vehicles, processes the data, and automatically routes notifications to the correct vehicle identifiers. This eliminates the need for ego vehicles to manually identify and communicate with specific target vehicles, reducing communication complexity while maintaining efficiency
Solution Approach 2:
The system enables self-service communication where vehicles automatically publish their diagnostic status to the cloud server, which then handles the matching and notification process. The cloud server autonomously correlates sensor data with vehicle identifiers and sends notifications without requiring complex onboard decision-making logic in the vehicles
Data Source
AI summary
Handshaking is performed, by an ego device via a wireless transceiver, with surrounding mobile devices to receive identifiers of the surrounding mobile devices and incoming notification messages from the surrounding mobile devices. Each of the incoming notification messages are sent from a different respective sender device of the surrounding mobile devices and include identifiers of devices seen by the sender device and an indication of whether issues with the devices seen by the sender device were identified by the sender device. An alert is raised responsive to an issue being indicated with the ego device based on the incoming notification messages.