AV Equipment Inspection Using Multi-Sensor Fault Detection
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Solution Overview
Problem
As autonomous vehicle (AV) maintenance tasks become increasingly automated, manual inspection of equipment is less efficient, leading to longer periods without inspection, which can result in equipment failure and increased maintenance costs due to unnoticed wear patterns and undetected faults.
Innovation Solution
Implementing an automated equipment inspection system using autonomous vehicles (AVs) equipped with sensors such as cameras, lidar, radar, and thermal sensors to capture data on equipment condition, comparing it to expected states or failure modes, and scheduling maintenance through a fleet management system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection of equipment is performed, then equipment can be observed and faults can be identified, but inspection frequency is limited and equipment may go longer without inspection
Solution Approach 1:
The system enables equipment to self-report its status through integrated sensors that automatically detect faults and wear patterns. The equipment monitors itself and communicates condition data to the fleet management system without requiring manual inspection, allowing for continuous monitoring and immediate fault detection.
Solution Approach 2:
Manual mechanical inspection by human operators is replaced with automated sensor-based monitoring systems. Sensors embedded in the equipment continuously collect data on operational parameters, replacing the need for physical inspection while enabling more frequent and consistent monitoring.
2Reliability
If sensors are built into equipment for automated monitoring, then continuous monitoring is possible, but hardware complexity and cost increase
Solution Approach 1:
The system uses multi-functional sensor platforms that can monitor various equipment types through standardized interfaces. The same sensor suite and communication protocol can be applied across different equipment (charging stations, car washes, maintenance equipment), reducing overall system complexity through standardization while maintaining comprehensive monitoring capabilities.
3Reliability
If equipment sensors are used to detect faults, then automated detection is possible, but not all potential issues or failure points can be detected
Solution Approach 1:
The system combines multiple sensor types (visual, auditory, thermal, operational sensors) to create a comprehensive monitoring platform. By merging different sensing modalities, the system can detect a broader range of faults and failure modes than any single sensor type could detect alone, improving both detection capability and precision.
Data Source
AI summary
An equipment inspection system receives data captured by a sensor of an autonomous vehicle (AV). The captured data describes a current state of equipment for servicing the AV. The equipment inspection system compares the captured data to a model describing an expected state of the equipment. The equipment inspection system determines, based on the comparison, that the equipment differs from the expected state. The equipment inspection system may transmit data describing the current state of the equipment to an equipment manager. The equipment manager may schedule maintenance for the equipment based on the current state of the equipment.