Textile Quality Comparison via Density Line Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for comparing the quality of elongate textile test goods, such as yarn, are complex and lack a straightforward way to visualize and quantify fluctuations in mass, diameter, and foreign matter content along the longitudinal direction, making it difficult to set effective cleaning limits.
Innovation Solution
A method and device that utilize a two-dimensional Cartesian coordinate system to plot parameter deviations as events, with density lines representing the distribution of these events, allowing for a graphical comparison between a test item and a reference item, using a measuring unit, evaluation unit, and output unit to display density lines and highlight differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional two-dimensional classification schemes are used to classify yarn defects, then defects can be categorized into rectangular classes, but it becomes difficult to visually compare quality between different test items and determine effective cleaning limits
Solution Approach 1:
The patent introduces a third dimension by plotting density values on the z-axis, transforming the traditional two-dimensional classification scheme into a three-dimensional representation. This allows quality comparison between different test items by visualizing density variations along the longitudinal direction, enabling operators to quickly identify quality differences and determine cleaning limits through the density surface topology rather than examining multiple two-dimensional plots
2Loss of information
If detailed statistical evaluation of yarn parameters is performed, then quantitative quality basis is provided, but the complexity of data analysis increases and makes quick quality assessment difficult
Solution Approach 1:
The patent creates a visual copy of the complex statistical data by generating a three-dimensional density surface that represents the distribution of yarn defects. Instead of requiring operators to analyze raw statistical tables and histograms, the system generates a topographic map where elevation represents density, allowing intuitive quality assessment while preserving all quantitative information in visual form
Solution Approach 2:
The patent transforms multiple yarn parameters (defect type, position, severity) into a single visual parameter - density value - that can be represented as surface elevation. This parameter transformation simplifies the presentation of complex quality data while maintaining the ability to assess all defect characteristics through the three-dimensional surface topology
Data Source
Figure 1
Figure 2
Figure 3
AI summary
In a method for comparing the quality of elongate textile samples, values of at least one parameter of a first sample are determined. Densities of events in a field of events (4) are determined from the values of the parameter of the first sample and from the spread of said values in the longitudinal direction. A first density line (51, 51') that essentially follows a constant density of the events determined on the first sample is displayed in the field of events (4). A reference density line (56, 56') which follows the same event density as the first density line (51, 51') but relates at least in part to a reference sample that is different from the first sample is displayed in addition to the first density line, thus allowing the shapes of the first density line (51, 51') and the reference density line (56, 56') to be compared. The comparison between the shapes of the density lines (51, 51'; 56, 56') allows the quality of the first sample and the reference sample to be compared.