Yarn Consumption Control Unit for Textile Manufacturing
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Solution Overview
Problem
The existing yarn consumption control systems in knitting processes are prone to false alarms due to measurement drift over time, leading to unnecessary stoppages and reduced productivity, as they struggle to distinguish between actual anomalies like needle breakage and gradual consumption variations.
Innovation Solution
A method that calculates an average yarn consumption value over a series of finished garments and compares it to a periodically updated reference value, using a control unit and optical sensors to detect anomalies while minimizing the impact of measurement drift, thereby reducing false alarms and maintaining high precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the intervention threshold is set to very low percentage values to detect anomalies with high precision, then the system can detect needle breakage, but false alarms increase due to measurement drift
Solution Approach 1:
The system implements feedback by continuously monitoring yarn consumption and comparing it against dynamically updated reference values. The control unit adjusts the reference consumption value based on the average of recently completed garments, creating a closed-loop system that adapts to gradual drift while maintaining sensitivity to actual anomalies.
Solution Approach 2:
The reference consumption value is made dynamic rather than static. Instead of using a fixed reference value, the system periodically updates the reference based on the average consumption of the last N completed garments. This dynamic adaptation allows the system to track gradual changes in consumption patterns while maintaining the ability to detect abnormal deviations.
2Reliability
If the learning procedure is repeated periodically to correct measurement drift, then false alarms are prevented, but productivity decreases due to unnecessary stoppages
Solution Approach 1:
The system performs self-adjustment by automatically updating its own reference consumption value based on the average of recently completed garments. This self-service mechanism eliminates the need for external intervention or manual learning procedures, allowing the system to correct its own drift without stopping production.
Solution Approach 2:
The update of the reference consumption value occurs continuously in the background during normal production operations, rather than requiring periodic stoppages for recalibration. The control unit computes the average consumption of the last N garments and updates the reference value without interrupting the knitting process, maintaining continuous productive action.
3Measurement precision
If the reference value is updated frequently to track consumption changes, then measurement drift is compensated, but the system becomes more complex
Solution Approach 1:
The system changes the parameter of the reference consumption value from a static fixed value to a dynamic computed value. The reference is periodically recalculated as the average of the last N completed garments, allowing the system to adapt to drift through parameter transformation rather than complex structural modifications.
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 effectively prevents unnecessary stoppages by accurately detecting needle breakage and other anomalies, enhancing productivity by reducing false alarms and maintaining high precision in yarn consumption control.
Implementation Method 1
the feeder 12 is provided with at least one unwinding sensor 18, typically an optical sensor, which generates an unwinding pulse for each yarn loop that is unwound from the drum
Data Source
Figure 1
Figure 2
AI summary
A textile machine (T) receives a plurality of yarns (Y) from respective feeders (12) each provided with a control unit (CU) that calculates, for each garment produced, the amount of yarn consumed (YCmeas) and compares it with a reference consumption value (YCref); if the difference exceeds a preset limit value (%max) that indicates an anomaly, an alarm is generated; periodically, the control unit calculates an average consumption value (YCmed) on the basis of a preset number (Nmed) of already-finished garments, and compares it with the reference consumption value (YCref); if the difference exceeds a preset threshold value (%maxmed), the reference consumption value (Yref) is set to the average consumption value (YCmed).