Detecting an impurity and/or a property of at least one part of a textile
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Solution Overview
Problem
It is challenging to identify the composition and origin of soiling on textiles, as many stains appear similar and cannot be distinguished by the naked eye, leading to unclear treatment approaches that may affect the effectiveness of cleaning processes.
Innovation Solution
A method using spectral imaging and an adaptive evaluation algorithm, such as an artificial neural network, to determine output variables indicative of soiling composition and textile properties, enabling accurate identification and optimal treatment recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection is used to identify soiling, then the detection method is simple, but the measurement precision is insufficient to distinguish between different soiling compositions
Solution Approach 1:
The patent replaces visual inspection (mechanical/optical system) with spectral imaging technology that captures reflectance spectra across multiple wavelength ranges. This substitution enables precise identification of soiling composition by analyzing spectral characteristics, transforming a simple visual task into a sophisticated optical measurement system that can distinguish between different stain types based on their unique spectral signatures.
Solution Approach 2:
The patent changes the measurement parameter from visual appearance to spectral reflectance characteristics across multiple wavelength ranges. By capturing and analyzing reflectance spectra in different wavelength bands, the system transforms the detection approach from qualitative visual assessment to quantitative spectral analysis, enabling precise differentiation of soiling compositions based on their spectral parameters.
2Reliability
If conventional cleaning treatment is applied without soiling identification, then the cleaning process is straightforward, but the reliability of cleaning effectiveness is reduced
Solution Approach 1:
The patent implements a feedback mechanism where spectral imaging data is fed into an adaptive evaluation algorithm that analyzes soiling composition and provides targeted cleaning recommendations. The system continuously adapts its evaluation based on spectral patterns, creating a closed-loop feedback system that adjusts cleaning strategies according to the specific soiling type detected, thereby ensuring reliable and effective cleaning treatment.
Solution Approach 2:
The patent performs preliminary identification and classification of soiling composition before applying cleaning treatment. By using spectral imaging to detect and analyze the soiling type in advance, the system determines the appropriate cleaning strategy beforehand, ensuring that the correct treatment is applied from the start, which improves cleaning reliability and avoids ineffective generic cleaning approaches.
3Manufacturing precision
If generic cleaning treatment is used for all textiles, then the operation is simple, but the manufacturing precision of cleaning results varies significantly
Solution Approach 1:
The patent applies local quality by tailoring cleaning treatment to the specific soiling composition and textile type detected through spectral imaging. Instead of uniform generic treatment, the system analyzes the local characteristics of each soiling instance and recommends specific cleaning parameters and agents suited to that particular combination, ensuring consistent and precise cleaning results for each unique case while maintaining operational simplicity through automated analysis.
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
The method provides clear indications of soiling composition and textile properties, allowing for differentiated treatment strategies, improving the effectiveness of cleaning processes and reducing material wear.
Implementation Method 1
obtaining an intensity information item representative of a spectral image resulting from a soiling of a textile
Data Source
AI summary
In particular, a method performed by one or more devices is disclosed, the method comprising: obtaining an intensity information item representative of a spectral image resulting from a soiling of a textile and/or from at least one part of a textile; determining at least one output variable dependent on the soiling of the textile and/or at least one property of the textile from the intensity information item, wherein the output variable is determined by employing an adaptive evaluation algorithm, in particular an artificial neural network, wherein parameters of the adaptive evaluation algorithm are calibrated based on a plurality of training cases; outputting or triggering outputting of the at least one output variable. Furthermore, a device and a system for performing the subject method is disclosed.