Autonomous Vehicle Maintenance Routing From OBC Diagnostics
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Solution Overview
Problem
Current methods for maintaining autonomous vehicles are unable to utilize diagnostic data to determine necessary maintenance and require user intervention to navigate vehicles to maintenance facilities, failing to adhere to predetermined safety and mechanical standards.
Innovation Solution
A system and method that utilize On-Board Computing (OBC) diagnostic data to identify required maintenance, compare vehicle location with maintenance facility locations, generate appointment reservations, and navigate autonomous vehicles to appropriate facilities based on work schedules and service priorities, considering passenger presence and service criticality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional maintenance methods are used, then user intervention is required to navigate vehicles to maintenance facilities, but this increases operational complexity and time loss
Solution Approach 1:
The autonomous vehicle system automatically monitors its own diagnostic data, identifies maintenance needs, schedules service appointments, and navigates to maintenance facilities without human intervention. The vehicle's onboard systems self-report status and self-coordinate with maintenance facilities, eliminating the need for user intervention while maintaining manageable complexity through standardized communication protocols.
2Reliability
If diagnostic data is not utilized, then maintenance requirements cannot be determined, but implementing data analysis increases processing requirements
Solution Approach 1:
Diagnostic data is continuously collected and pre-processed during vehicle operation, with maintenance requirements identified before actual service is needed. The system performs preliminary analysis of sensor data, engine parameters, and system status to predict maintenance needs in advance, enabling proactive scheduling while distributing processing loads over time rather than requiring intensive real-time computation.
3Productivity
If facilities are not optimized, then service efficiency decreases, but implementing optimization increases system complexity
Solution Approach 1:
The maintenance facility coordination system uses standardized communication protocols and data formats that enable multiple facilities to be managed through a universal interface. The system can schedule appointments, track vehicle locations, and coordinate services across different facilities without requiring facility-specific customization, achieving high productivity through multi-functional compatibility rather than complex individualized control for each facility.
Data Source
AI summary
A method for performing automatic maintenance of an autonomous vehicle is disclosed. The method includes receiving a maintenance request from the autonomous vehicle, wherein the maintenance request includes diagnostic data. Further, the method includes analyzing the diagnostic data to identify at least one recommended car service for the autonomous vehicle and comparing a vehicle location against a plurality of facility locations to identify a closest facility from a plurality of maintenance facilities, wherein the plurality of facility locations is associated with the locations of the plurality of maintenance facilities. Further, the method includes receiving a work schedule of the closest facility and generating an appointment reservation with the closest facility in the one or more facility locations based on the received one or more work schedules. Moreover, the method includes sending the appointment reservation to the autonomous vehicle.