Textile Treatment Parameter Determination via 3D Geometry Scanning
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Solution Overview
Problem
Current methods for determining treatment parameters for textiles, such as the amount of cleaning agent, are often inaccurate and inefficient, leading to incomplete cleaning, excessive resource consumption, and environmental impact, particularly due to reliance on user estimates and the need for additional markings on textiles.
Innovation Solution
A method that uses geometry information items representing the spatial position of a textile's surface points to determine optimal treatment parameters, including the amount of cleaning agent, based on the textile's geometry, allowing for automated and precise dosing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If special markings such as RFID tags are used on textiles to enable automated recognition, then treatment parameter determination is facilitated and automated, but production effort and manufacturing costs are significantly increased
Solution Approach 1:
The invention extracts the identification function from physical markings (RFID tags, chips) and implements it through geometric analysis of the textile's surface profile. The 3D scanning system captures spatial coordinates of surface points, and the evaluation device determines treatment parameters based on geometric characteristics alone, eliminating the need for additional marking components on the textiles.
Solution Approach 2:
Instead of using physical markings on the textile, the system creates a digital copy or model of the textile's geometric surface. The 3D scan data serves as a virtual representation that contains all necessary information for treatment parameter determination, replacing the need for physical RFID tags while maintaining automated recognition capabilities.
2Ease of operation
If the amount of cleaning agent is determined by user estimate, then the process is simple, but the determination is inaccurate leading to incomplete cleaning or excessive resource consumption
Solution Approach 1:
The system enables the textile to effectively determine its own treatment requirements through its geometric characteristics. The 3D scanning captures the textile's surface geometry, and the evaluation algorithm automatically translates this into precise treatment parameters including cleaning agent dosage, eliminating the need for user estimation while keeping the user interface simple.
Solution Approach 2:
The invention replaces the manual mechanical estimation process with an automated optical measurement system. The 3D scanner and evaluation device substitute for human judgment, providing objective, precise measurements of textile geometry that directly translate into accurate cleaning agent dosage recommendations.
3Extent of automation
If monitoring of water used in cleaning is performed to dose cleaning agent, then automated dosing is achieved, but the type and amount of textiles are not directly included in the dosage making it inaccurate
Solution Approach 1:
The system analyzes local geometric qualities of the textile surface through 3D scanning, capturing variations in surface topology, volume, and spatial configuration. These localized geometric characteristics are then used to determine appropriate cleaning agent dosage, ensuring that each textile receives treatment tailored to its specific geometric properties rather than relying on general water consumption metrics.
Data Source
AI summary
A method performed by one or more devices is disclosed. The method includes obtaining a geometry information item representative of a spatial location of a plurality of points of a surface of a textile (52), determining at least one treatment parameter for treating the textile (52) at least partially based on a geometry information item, and outputting or triggering an output of the at least one treatment parameter.