Yarn Winding Parameter Analysis for Full-Winding Rate Control
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Solution Overview
Problem
The existing method for determining and adjusting parameters in the yarn spindle winding process is heavily dependent on worker experience, leading to inefficiencies and delays in identifying and correcting parameters that cause substandard full-winding rates, thereby affecting production efficiency and quality.
Innovation Solution
A parameter processing method and apparatus that determines full-winding rates based on collected characteristic parameters, identifies candidate parameters causing substandard rates, and enables automated adjustment, using a prediction model to quickly determine and correct parameters in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If worker performs sampling inspection and adjusts parameters by experience, then production quality can be maintained, but production efficiency deteriorates due to delays in identifying and correcting parameters
Solution Approach 1:
The system performs preliminary analysis of characteristic parameters to predict full-winding rates before actual winding completion. By collecting and analyzing parameters during the winding process, the system identifies potential quality issues in advance, enabling proactive parameter adjustments rather than waiting for sampling inspection results.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism that continuously monitors characteristic parameters, predicts full-winding rates, and provides real-time feedback on parameter adjustments. This feedback loop enables dynamic optimization of winding parameters based on actual process data, improving both quality consistency and production efficiency.
2Reliability
If worker analyzes parameters by experience, then parameter adjustment can be made, but time consumption increases and cannot determine parameters quickly
Solution Approach 1:
The system replaces the manual experience-based analysis mechanism with an automated computational model. The prediction model processes characteristic parameters using algorithms to determine their influence on full-winding rates, eliminating the time-consuming and subjective nature of human experience-based analysis while providing consistent and reproducible results.
Solution Approach 2:
The system transforms the analysis from qualitative experience-based judgment to quantitative parameter evaluation. By calculating specific influence degrees of each characteristic parameter on full-winding rates, the system provides objective, measurable data that enables faster and more reliable parameter determination compared to subjective experience.
3Productivity
If automated parameter determination is implemented, then production efficiency improves, but device complexity increases
Solution Approach 1:
The prediction model serves multiple functions: it evaluates full-winding rates, identifies influential parameters, determines parameter adjustments, and provides real-time monitoring. This multi-functional approach consolidates what could be multiple separate systems into a single integrated solution, reducing overall complexity while maintaining high productivity benefits.
Data Source
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AI summary
Provided is a parameter processing method and apparatus, a device and a storage medium. The method includes: determining (S101) T full-winding rates of a yarn spindle wound by a winding machine; and under the condition where it is determined that M full-winding rates in the T full-winding rates do not meet a requirement of a preset full-winding rate, determining a candidate characteristic parameter set, wherein a candidate characteristic parameter included in the candidate characteristic parameter set is the characteristic parameter that is selected from N first characteristic parameters corresponding to a full-winding rate not meeting the requirement of the preset full-winding rate and that causes the full-winding rate not meeting not to meet the requirement of the preset full-winding rate.