Self-Adjusting Car Wash Tunnel Control for Irregular Vehicle Profiles
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Solution Overview
Problem
Conventional car wash tunnels struggle to effectively clean vehicles with unconventional shapes or contours, leading to over or under-spray, improper cleaning, and resource wastage due to fixed spray equipment that cannot adjust for varying vehicle sizes and configurations.
Innovation Solution
A self-adjusting car wash system that uses sensors and machine learning to generate a digital 3D model of the vehicle, comparing it to standard models to determine optimal wash parameters, allowing equipment to adjust automatically for precise cleaning based on vehicle dimensions and shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If uniform water and detergent spray is applied to all vehicles, then the car wash equipment can maintain fixed positioning and simple operation, but vehicles with unique shapes experience over-spray or under-spray leading to improper cleaning and resource wastage
Solution Approach 1:
The car wash equipment transitions from fixed positioning to dynamic adjustment. Sensors detect vehicle dimensions and contours in real-time, and the system automatically adjusts spray equipment positions, angles, and water pressure to match each vehicle's unique shape, eliminating over-spray and under-spray issues while maintaining operational simplicity through automation
Solution Approach 2:
The system implements a closed-loop feedback mechanism where sensors continuously monitor vehicle characteristics, the control system processes this information to determine optimal wash parameters, and the spray equipment adjusts accordingly. This feedback loop ensures precise cleaning for each vehicle while automatically adapting to shape variations without requiring manual intervention
2Manufacturing precision
If high-powered jets of water and strong detergents are used for all vehicles, then the cleaning power is sufficient for most vehicles, but uniquely shaped vehicles such as sports and exotic cars experience over-spray or under-spray
Solution Approach 1:
The system applies different spray characteristics to different regions of the vehicle based on local requirements. Sensors identify areas needing intensive cleaning versus areas requiring gentle treatment, and the system adjusts water pressure, detergent concentration, and spray intensity locally to match the vehicle's contour and soiling patterns, preventing both over-spray waste and under-cleaning
Solution Approach 2:
The system dynamically changes multiple parameters including water pressure, detergent flow rate, spray angle, and nozzle positioning based on real-time vehicle detection. This parameter optimization ensures high-powered jets are applied only where necessary for effective cleaning while reducing or eliminating spray in areas where it would cause over-spray or resource wastage
3Adaptability or versatility
If fixed spray equipment is used for all vehicle types, then the equipment design remains simple and cost-effective, but unconventional vehicles experience improper cleaning
Solution Approach 1:
The car wash system performs self-adjustment without external intervention. Sensors automatically detect each vehicle's characteristics, the control system independently determines optimal wash parameters, and the spray equipment self-adjusts its positioning and operation. This self-service capability enables the system to adapt to any vehicle type while maintaining operational simplicity for the user
Solution Approach 2:
The system is designed to handle diverse vehicle types including conventional cars, sports cars, exotic vehicles, and unconventional shapes through a single unified platform. The sensor array and adjustable spray equipment create a universal cleaning solution that adapts to any vehicle configuration, eliminating the need for multiple specialized equipment sets while expanding service capability
Data Source
AI summary
An apparatus for self-adjusting car wash equipment within a car wash tunnel is disclosed. The apparatus may include an element of wash equipment positioned in the car wash tunnel. In addition, the apparatus may include a processor and a memory communicatively coupled to the processor the memory contains instructions configuring the processor to receive a vehicle surface profile using at least a sensor within the car wash tunnel generate a digital model of an exterior of the vehicle, where the digital model describes a length of the vehicle, and to determine a vehicle profile for the vehicle by comparing information obtained from the digital model to a standard model for the vehicle. Accordingly, the processor may determine the wash parameter as a function of the vehicle profile, where the wash parameter may control the element of wash equipment and prevent cleaning operations performed by the wash equipment past the length of the vehicle.