Method and device for ascertaining a treatment parameter of a textile using an impurity composition and a textile property
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for treating textile soiling are inadequate as they often fail to accurately identify the composition and origin of stains, leading to insufficient or damaging cleaning processes that do not consider the specific properties of the textile, resulting in collateral damage such as shrinkage or discoloration.
Innovation Solution
A method that uses spectral imaging to determine treatment parameters by analyzing both the composition of the soiling and the properties of the textile, combining intensity information from the soiling and the textile's properties to provide a tailored cleaning recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If treatment is based on soiling identification, then soiling removal effectiveness is improved, but textile structure damage increases
Solution Approach 1:
The system changes treatment parameters dynamically based on detected soiling composition and textile properties. Different soiling types (protein, lipid, carbohydrate, inorganic) trigger different treatment parameter sets, while textile properties (color, material, structure) further modulate these parameters to prevent damage while ensuring effective removal.
Solution Approach 2:
The treatment recommendation is dynamically adjusted based on real-time analysis of both soiling characteristics and textile properties. The system does not use fixed treatment protocols but rather adapts treatment parameters according to the specific combination of soiling type and textile characteristics detected through spectral imaging.
2Object-affected harmful factors
If treatment is based on textile properties, then textile structure protection is improved, but soiling removal effectiveness decreases
Solution Approach 1:
The system modifies treatment parameters based on textile property detection. For delicate textiles, gentler parameters are selected, while robust textiles can withstand more aggressive treatment. The soiling composition analysis then adjusts these baseline parameters to ensure adequate removal capability without exceeding textile tolerance thresholds.
Solution Approach 2:
The system dynamically balances protection and removal effectiveness by continuously considering both textile properties and soiling characteristics. Treatment recommendations are not static but adapt to the specific interaction between textile vulnerability and soiling tenacity, optimizing the removal action within safe boundaries.
3Manufacturing precision
If spectral imaging is used to identify soiling composition, then treatment precision is improved, but device complexity increases
Solution Approach 1:
The system replaces complex mechanical analysis and manual soiling identification with optical spectral imaging. By using light interaction with matter to identify soiling composition (protein, lipid, carbohydrate, inorganic types), the system achieves precise treatment parameter determination without requiring complex mechanical or chemical analysis apparatus.
Solution Approach 2:
The spectral imaging system serves as an intermediary that translates complex soiling composition information into simplified treatment recommendations. Rather than directly analyzing chemical composition, the system uses spectral signatures as an intermediate representation that maps to specific treatment protocols, reducing the complexity of the decision-making process.
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
This approach improves the effectiveness and safety of textile treatment by accurately identifying the soiling composition and matching it with the optimal cleaning strategy for the specific textile, reducing the risk of damage and ensuring thorough removal of stains while protecting the textile.
Implementation Method 1
obtaining a first intensity information item of a spectral image resulting from soiling of a textile; obtaining a second intensity information item of a spectral image of at least one property of at least one part of the textile
Data Source
AI summary
In particular, a method performed by one or more devices is disclosed, the method comprising: obtaining a first intensity information item (210) representative of a spectral image (208) resulting from an soiling (202, 302) of a textile (200, 304); obtaining a second intensity information item (212, 214) representative of a spectral image (216) characteristic of at least one property of at least one part of the textile (200, 304); determining at least one treatment parameter, wherein the determination of the treatment parameter takes place dependent both on the composition of the soiling (202, 302) from the first intensity information item (210) and on the at least one property of at least the part of the textile (200, 304) from the second Intensity information item (212, 214); and outputting or triggering an outputting of the at least one treatment parameter.