Air-Jet Spun Yarn Weak-Point Detection Using Brightness Analysis
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Solution Overview
Problem
Reliable and early detection of weak points in spun yarn, particularly air-jet spun yarn, is difficult, leading to defects that cause significant downtime and additional costs during further processing.
Innovation Solution
A method involving optical detection of yarn brightness, with deviation analysis to identify irregularities, allowing early detection of weak points by evaluating brightness values and issuing warnings or initiating corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional detection methods are used, then the detection device complexity is low, but the measurement precision and reliability of weak point detection is insufficient
Solution Approach 1:
The patent replaces mechanical or electrical detection systems with an optical detection system. Optical sensors measure brightness values of the yarn, which are then processed to detect weak points. This substitution provides higher reliability and earlier detection capability while maintaining acceptable device complexity through the use of standard optical components.
Solution Approach 2:
The patent introduces an intermediary evaluation step that processes optical detection values through a data processing device. This intermediary layer analyzes brightness deviations and compares them against reference values to identify weak points, enabling reliable detection without requiring complex direct measurement systems.
2Loss of time
If detection is performed later in the spinning process, then the device complexity is reduced, but the loss of time increases due to late detection of weak points
Solution Approach 1:
The patent implements preliminary detection of weak points during the spinning process itself, rather than waiting for later stages. By continuously monitoring brightness values and comparing them against reference data obtained from defect-free yarn sections, the system detects weak points early, enabling timely corrective action and reducing production time losses.
3Measurement precision
If optical detection with brightness evaluation is implemented, then the measurement precision for weak point detection is improved, but the use of energy increases
Solution Approach 1:
The patent applies partial action by using optical detection only at specific critical points along the yarn path where weak points are most likely to form, rather than continuous monitoring throughout the entire spinning process. This selective monitoring maintains measurement precision for detecting meaningful deviations while reducing overall energy consumption of the detection system.
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
Enables early detection and prevention of weak points, reducing downtime and costs by identifying structural deficiencies before they fully develop, using optical sensors and data processing to monitor and react to deviations in yarn brightness.
Implementation Method 1
the at least one detection value is specific for a brightness of the yarn, i.e., in particular for the quantity of light emitted by the yarn, which the yarn reflects (also: remitted) due to illumination
Data Source
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AI summary
The invention relates to a method for detecting the formation of at least one weak point in spun, in particular air-jet spun, yarn in a spinning machine, comprising the following steps: - receiving at least one detection value resulting from an optical detection of the yarn, wherein the at least one detection value is specific to a brightness of the yarn, - evaluating the at least one detection value in order to determine an irregularity with regard to the brightness of the yarn, - detecting the formation of the at least one weak point based on the detected irregularity. Furthermore, the invention relates to a data processing device, a monitoring device (306), a spinning machine, a computer program, and a computer-readable medium.