Autonomous Vehicle Self-Diagnostics for Fleet Maintenance Dispatch
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current autonomous rideshare vehicle maintenance relies heavily on human intervention, which is time-consuming and error-prone, especially as fleets grow, as it requires constant monitoring and manual direction of vehicles to maintenance facilities.
Innovation Solution
Implementing self-maintenance capabilities in autonomous vehicles that allow them to automatically monitor and diagnose issues using sensor data, determine maintenance needs, and dynamically route themselves to maintenance facilities, reducing the need for human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human operators constantly monitor the fleet and manually direct vehicles to maintenance facilities, then maintenance can be performed, but the process becomes time-consuming and error-prone as fleet size increases
Solution Approach 1:
The autonomous vehicle performs self-diagnostics and self-direction to maintenance facilities. The vehicle's processor autonomously analyzes sensor data to detect maintenance needs and automatically navigates to service centers, eliminating the need for human operators to monitor and direct each vehicle, thus reducing maintenance time and errors while improving reliability
Solution Approach 2:
The system continuously monitors vehicle sensor data and provides real-time feedback to the processor. When maintenance thresholds are exceeded, the system generates alerts and automatically routes the vehicle to appropriate facilities. This closed-loop feedback mechanism ensures timely maintenance while reducing human intervention and associated errors
2Reliability
If human operators manually check quantitative and qualitative values against acceptable ranges, then maintenance needs can be identified, but the process requires constant human intervention and attention
Solution Approach 1:
The autonomous vehicle's processor automatically compares sensor data against pre-stored maintenance thresholds and criteria. The system independently determines when maintenance is needed without human operators manually checking values, thereby maintaining high detection accuracy while dramatically simplifying operations and eliminating the need for constant human attention
Solution Approach 2:
The patent replaces manual human inspection with automated electronic sensor systems and computer-based analysis. Sensors continuously collect data and the processor automatically evaluates it against maintenance criteria, substituting human cognitive and manual tasks with automated electronic systems that provide consistent, accurate detection without requiring human intervention
3Adaptability or versatility
If the fleet size increases significantly or area of operation expands, then service coverage improves, but human intervention becomes more difficult and error-prone
Solution Approach 1:
Each autonomous vehicle independently performs self-monitoring and self-direction to maintenance facilities using its own sensors and processor. This decentralized approach allows the fleet to scale indefinitely without proportionally increasing human monitoring requirements, maintaining reliability even as fleet size and operational area expand significantly
Solution Approach 2:
The autonomous vehicles are equipped with universal sensor systems and processors that can monitor multiple vehicle parameters and handle various maintenance scenarios. This multi-functional capability allows the same system architecture to serve the entire fleet regardless of size or operational scope, enabling scalable deployment while maintaining consistent monitoring reliability across all vehicles
Data Source
AI summary
Systems and methods provide for enabling an autonomous vehicle to automatically and dynamically monitor and maintain itself. The autonomous vehicle can analyze diagnostic data captured by one or more of its sensors. Based on the analysis of the diagnostic data, the autonomous vehicle can determine that it needs maintenance and, based on that determination, send the analysis of the diagnostic data to a routing service. The autonomous vehicle can receive instruction from the routing service to dynamically route the autonomous vehicle in accordance with a maintenance action.