Autonomous Vehicle Maintenance Scheduling and Navigation
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Solution Overview
Problem
Current methods for maintaining autonomous vehicles fail to utilize diagnostic data for determining necessary maintenance and require user intervention to navigate vehicles to maintenance facilities, unable to follow predetermined paths for mechanical and safety standards.
Innovation Solution
A system and method that receive maintenance requests from autonomous vehicles, analyze diagnostic data to identify required services, compare vehicle locations to facility locations, generate appointment reservations, and navigate vehicles to the closest facility based on work schedules, prioritizing services based on criticality and passenger presence.
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 loss of time and reduces productivity
Solution Approach 1:
The autonomous vehicle system performs maintenance scheduling and facility navigation automatically without human intervention. The vehicle's computing device receives diagnostic data, determines maintenance needs, selects appropriate facilities, and navigates to them autonomously, enabling the system to service itself
Solution Approach 2:
The system proactively monitors diagnostic data from sensors and determines maintenance requirements before they become critical failures. By analyzing sensor data continuously and pre-scheduling maintenance appointments, the system performs preliminary actions to prevent breakdowns and optimize maintenance timing
2Measurement precision
If conventional maintenance methods are used, then general maintenance procedures are applied, but this fails to utilize diagnostic data for determining specific maintenance requirements
Solution Approach 1:
The system continuously receives diagnostic data from various sensors and uses this feedback to determine specific maintenance requirements. The computing device analyzes sensor readings, compares them against thresholds and patterns, and adjusts maintenance scheduling based on the vehicle's actual condition, creating a closed-loop feedback system
Solution Approach 2:
The system monitors multiple diagnostic parameters from sensors and determines maintenance needs based on changes in these parameters. By tracking parameter trends and deviations from normal ranges, the system precisely identifies when and what type of maintenance is required, moving from fixed schedules to condition-based maintenance
3Ease of operation
If manual navigation to maintenance facilities is used, then vehicles can reach facilities, but they cannot follow predetermined paths through facilities in sequential steps
Solution Approach 1:
The maintenance process is segmented into sequential steps, with the facility navigation system guiding the vehicle through specific zones and stations in a predetermined order. The path is divided into discrete segments (approach, entry, service bay, exit) that the autonomous vehicle follows systematically to ensure proper maintenance procedures are performed in the correct sequence
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.