Robotic Vehicle Component Soiling Detection for Autonomous Fleet Service
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Solution Overview
Problem
Decentralized car-sharing concepts face challenges in maintaining the cleanliness and operational readiness of autonomous vehicle fleets due to high personnel costs and the risk of inadequate cleaning, which affects vehicle availability and customer satisfaction.
Innovation Solution
A service station equipped with a mobile robot or robot arm featuring optical sensors, light sources, and steam emitters to autonomously identify and clean vehicle components, utilizing image recognition and reflectance analysis to determine contamination levels, and perform cleaning actions based on detected soiling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If employees are used to refuel and clean the fleet vehicles, then the cleanliness and operational readiness of vehicles is maintained, but personnel costs significantly increase
Solution Approach 1:
The system enables vehicles to autonomously report their own contamination status through sensors and communication modules, eliminating the need for manual inspection by employees. The vehicle self-identifies when cleaning is needed and communicates this information to the fleet operator.
Solution Approach 2:
Manual mechanical inspection and cleaning assessment by employees is replaced with automated optical sensors, contamination detection devices, and electronic communication systems that automatically monitor and report vehicle cleanliness status.
2Device complexity
If users are encouraged to perform service trips through incentives, then personnel costs are reduced, but the risk of inadequate cleaning and vehicle breakdowns increases
Solution Approach 1:
The system continuously monitors vehicle contamination levels through sensors and provides real-time feedback to both the fleet operator and the user. This automated feedback mechanism ensures cleaning needs are accurately identified and tracked, maintaining reliability without requiring user judgment.
Solution Approach 2:
Manual cleaning assessment and quality control by employees is replaced with automated contamination detection sensors, image analysis systems, and electronic verification processes that objectively measure cleaning effectiveness.
3Reliability
If frequent cleaning is performed to maintain vehicle cleanliness, then customer satisfaction is improved, but vehicle availability decreases
Solution Approach 1:
Instead of performing full cleaning operations on all vehicles regardless of need, the system applies cleaning actions only to the extent necessary - cleaning only when contamination thresholds are exceeded, and targeting specific contaminated areas rather than complete vehicle cleaning.
Solution Approach 2:
Real-time contamination monitoring provides feedback on actual vehicle cleanliness status, enabling dynamic scheduling of cleaning operations based on actual need rather than fixed schedules, thus optimizing the balance between cleanliness and availability.
4Device complexity
If manual inspection methods are used to detect vehicle contamination, then the system is simple to implement, but measurement precision and detection accuracy are insufficient
Solution Approach 1:
Manual visual inspection by employees is replaced with automated optical sensors, cameras, and contamination detection devices that provide objective, precise measurements of vehicle cleanliness status without requiring human judgment or interpretation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables fully automated detection and cleaning of vehicle components, ensuring vehicles are ready for use, reducing personnel costs and improving customer satisfaction by maintaining cleanliness and operational readiness.
Implementation Method 1
The service module (90) is configured as a robot or has robotics. At least one tool for identifying contamination is arranged on the mobile robot (95). The tool has at least one optical sensor by means of which an optical signal of at least one vehicle component can be detected, wherein a degree of contamination of the component can be determined based on the detected optical signal
Data Source
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Figure 3~4
Figure 5
AI summary
The invention relates to a service station (90) for the vehicles (10) of an autonomous vehicle fleet. According to the invention, the service station (90) has at least one service module (95) which is designed to identify the dirtiness of at least one vehicle component (300, 301, 302, 303) of the vehicle (10). The service module has at least one mobile robot and/or a robot arm (951, 952) on which a tool (200) is arranged for identifying dirtiness. The tool (200) has at least one optical sensor (203) and preferably at least one light source (202) and/or at least one vapor emitter (201).