Sensor Self-Diagnosis for Smart Home Malfunction Detection
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Solution Overview
Problem
Autonomous and semi-autonomous vehicles face challenges in safely operating in various environmental conditions, particularly when sensors or other components are damaged or impaired, leading to increased risks.
Innovation Solution
A computer-implemented method for detecting sensor malfunctions in autonomous vehicles and smart homes, which involves receiving sensor data, determining a sensor range for proper functioning, identifying malfunctions, and performing remedial actions such as scheduling repairs or adjusting insurance coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor data is continuously monitored to detect malfunctions, then reliability is improved, but device complexity increases
Solution Approach 1:
The sensor system performs self-diagnosis by automatically monitoring its own output signals and comparing them against expected ranges, eliminating the need for external diagnostic equipment and reducing overall system complexity while maintaining high reliability
Solution Approach 2:
The system implements continuous feedback loops where sensor outputs are monitored, compared to reference ranges, and used to trigger alerts or corrective actions, enabling real-time malfunction detection without requiring complex external monitoring infrastructure
2Measurement precision
If sensor range thresholds are established for malfunction detection, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system dynamically adjusts sensor range thresholds based on environmental conditions and operational context, allowing precise malfunction detection without requiring complex manual calibration or interpretation of fixed thresholds
Data Source
AI summary
Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.