Yarn Winding Parameter Identification for Substandard Full-Winding Rates
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Solution Overview
Problem
The existing process for determining and adjusting parameters in the yarn spindle winding process is highly dependent on worker experience, leading to inefficiencies and delays in identifying and correcting parameters that cause substandard full-winding rates, affecting production efficiency and quality.
Innovation Solution
A method and apparatus that determine full-winding rates based on characteristic parameters, identify candidate parameters causing substandard rates, and enable automated adjustments, using a prediction model to quickly identify and correct parameter issues in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If worker performs sampling inspection and analyzes parameters by experience, then parameter adjustment can be made, but the process is slow and cannot determine parameters in time
Solution Approach 1:
The patent replaces the mechanical system of manual parameter analysis and experience-based judgment with an automated computer vision system. The system captures images of the yarn winding process, uses image processing to detect winding defects, and automatically determines parameter issues without manual intervention, thereby reducing both time loss and maintaining high accuracy.
Solution Approach 2:
The system enables self-service by allowing the winding machine to automatically monitor and analyze its own winding quality in real-time. The parameter determination unit automatically identifies parameter issues based on image analysis results, eliminating the need for external worker intervention and enabling continuous autonomous operation.
2Productivity
If automated parameter determination system is implemented, then production efficiency is improved, but device complexity increases
Solution Approach 1:
The determination system is designed with multi-functionality to justify its complexity. It simultaneously performs image capture, image processing, defect detection, parameter analysis, and automated judgment functions. This universal system handles multiple tasks that would otherwise require separate devices or manual operations, thereby improving overall productivity despite the increased complexity.
Data Source
AI summary
Provided is a parameter processing method, an electronic device and a storage medium. The method includes: determining 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.