Vehicle Malfunction Notification via Sensor Data Correlation
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Solution Overview
Problem
Modern vehicles lack a reliable method to notify drivers of malfunctions, such as faulty sensors or missing detection systems, which can pose safety hazards during driving.
Innovation Solution
A notification method and system that generates route datasets and signaling datasets to identify and notify drivers of vehicle malfunctions independently of existing detection systems, using Human-Machine Interface (HMI) modules and remote cloud computing to communicate malfunctions vocally, textually, or visually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated sensors are used for malfunction detection, then detection reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent makes existing vehicle sensors (GPS, accelerometer, microphone, camera) perform dual functions: their primary functions plus malfunction detection. For example, the GPS module not only provides navigation but also detects abnormal vehicle movements indicating malfunctions, eliminating the need for dedicated malfunction sensors.
Solution Approach 2:
The system enables vehicles to self-diagnose malfunctions by analyzing data from existing sensors without requiring external dedicated detection devices. The vehicle uses its own operational data (movement patterns, sound, images) to detect abnormalities, making the detection system self-sufficient.
2Reliability
If existing malfunction detection systems are used, then some malfunctions are detected, but many malfunctions remain undetected due to sensor faults or lack of detection devices
Solution Approach 1:
The system continuously monitors vehicle operation and provides feedback loops where detected anomalies trigger further analysis. Multiple data sources (GPS trajectory, sound recordings, images) cross-validate each other to confirm malfunctions, ensuring comprehensive detection even when individual sensors fail.
Solution Approach 2:
The patent combines multiple independent detection approaches (trajectory analysis, sound detection, image recognition) into a unified malfunction detection system. This multi-modal approach ensures that if one detection method fails, others can compensate, significantly reducing information loss about vehicle malfunctions.
3Reliability
If dedicated malfunction detection systems are installed, then detection capability is improved, but ease of operation and accessibility deteriorate
Solution Approach 1:
The system replaces complex mechanical malfunction detection mechanisms with software-based analysis of existing sensor data. Malfunction detection is achieved through algorithmic processing of GPS trajectories, sound waveforms, and image data, eliminating the need for additional mechanical sensors or complex detection hardware.
Data Source
AI summary
A notification method configured so as to signal to a user a malfunction liable to affect his vehicle during a driving phase. The notification method includes a monitoring step configured so as to generate route datasets relating to a driving route of a vehicle of each user; a malfunction signaling step configured so as to generate signaling datasets including information about the vehicle in question relating to a malfunction with the vehicle in question as observed by a user-observer; an analysis step configured so as to identify which vehicle is the vehicle in question, on the basis of the route datasets and the signaling datasets; and a notification step configured so as to generate a notification message intended for the user of the vehicle in question.