Autonomous Vehicle Maintenance Routing System
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Solution Overview
Problem
Autonomous vehicles lack the capability to efficiently identify and address component failures, leading to prolonged repair delays due to sequential diagnosis and part acquisition processes, which are hindered by the need to access a wide variety of replacement parts for different vehicle models.
Innovation Solution
A system comprising a processor and memory that identifies faulty vehicle parts based on diagnostic status and location, determines a vehicle operating pattern, and generates a route to a service location for replacement, navigating the vehicle efficiently to minimize further component wear and ensure timely repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sequential repair process (diagnosis, part acquisition, then repair) is used, then repair can be completed, but repair time is excessively long
Solution Approach 1:
The system performs preliminary actions by proactively monitoring component health status through sensors and diagnostic systems, identifying potential failures before they occur. The autonomous vehicle schedules maintenance during off-peak hours or when the vehicle is not in use, performing repairs in advance before critical failures disrupt normal operations.
Solution Approach 2:
The autonomous vehicle performs self-diagnosis using onboard sensors and diagnostic systems to identify component failures. The vehicle autonomously navigates to service locations, schedules repairs, and coordinates with service centers without human intervention, enabling the system to serve itself throughout the entire maintenance process.
2Adaptability or versatility
If comprehensive part inventory is maintained for various vehicle models, then any part can be replaced, but storage space and complexity increase
Solution Approach 1:
The system introduces a centralized digital inventory management system that acts as an intermediary between the autonomous vehicle and service centers. This digital platform tracks component health status, predicts failures, and automatically orders replacement parts from centralized warehouses, eliminating the need for each vehicle to maintain physical inventory of multiple parts.
Solution Approach 2:
The system develops universal, standardized components that can be used across different vehicle models and applications. By designing parts with universal interfaces and specifications, the system reduces the variety of unique parts needed in inventory while maintaining the ability to service diverse vehicle types.
Data Source
AI summary
A system includes a processor and a memory. The memory stores instructions executable by the processor to identify a vehicle part to replace based on received vehicle data including a diagnostic status, a location, and a first route. The memory stores instructions executable by the processor to determine a vehicle operating pattern based on the identified vehicle part and to generate a second route including a second destination based on the vehicle part, the vehicle operating pattern, the location, and a first destination and an expected time of arrival of the first route. The memory stores instructions executable by the processor to navigate the vehicle based on the determined second route and the vehicle operating pattern.