Car Wash Feedback Control Using Mobile Quality Evaluation
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Solution Overview
Problem
Existing vehicle washing systems lack a systematic and effective method for quality assessment, which hinders the ability to improve wash processes and maintain equipment efficiently.
Innovation Solution
A computer-implemented method and system that uses a mobile terminal to provide a human-machine interface for evaluating vehicle washes. The system generates an interactive virtualized representation of the vehicle, allows users to identify objectionable areas, and sends feedback signals to a control module to initiate maintenance measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If systematic quality assessment is implemented in vehicle washing systems, then wash quality can be recorded and analyzed, but the system complexity increases significantly
Solution Approach 1:
The patent implements a feedback mechanism where customers can submit quality assessments through a mobile application after vehicle washing. The system processes this feedback data and generates actionable insights for maintenance personnel, creating a closed-loop quality improvement system that enables continuous optimization without requiring complex manual inspection procedures
Solution Approach 2:
The patent creates a virtual copy of the physical washing system through digital twins and simulation models. This virtual representation allows for quality assessment and process optimization in the digital domain, eliminating the need for complex physical measurement devices while maintaining assessment accuracy through data correlation between physical and virtual systems
2Reliability
If customer feedback is collected and processed systematically, then wash quality improvement is enabled, but data processing time and computational resources increase
Solution Approach 1:
The patent pre-processes and structures feedback data during collection, organizing it into standardized formats with predefined categories and priority levels. This preliminary organization enables rapid retrieval and analysis of relevant quality issues without requiring extensive post-collection processing, significantly reducing data analysis time while maintaining comprehensive quality assessment capabilities
Solution Approach 2:
The patent replaces manual data processing and analysis with automated algorithms and machine learning models that can quickly analyze large volumes of feedback data. This substitution of mechanical human analysis with computational systems dramatically reduces processing time while improving the reliability and consistency of quality improvement decisions
3Ease of manufacture
If detailed quality assessment data is collected, then maintenance targeting is improved, but data management and storage requirements increase
Solution Approach 1:
The patent extracts and isolates only the most critical quality parameters and maintenance-relevant data from the comprehensive feedback dataset. By filtering out redundant information and focusing on key indicators that directly impact maintenance decisions, the system achieves precise maintenance targeting with a reduced data footprint, eliminating the need to manage and process unnecessary voluminous data
Data Source
AI summary
A system for modifying process data of a car wash based on captured evaluations of vehicle washes performed on the car wash, comprising: a set of mobile terminals, each adapted to perform an algorithmic evaluation process; and a control module, implemented on the car wash, for controlling and/or regulating the car wash based on the detected feedback signals encoding evaluations of vehicle washes performed on the car wash, and in data communication with the mobile terminals via the control interface.