一种筒子纱染色质量预测与控制方法和系统
By constructing a physical adversarial feature screening model and a multi-scale manifold coupling prediction model, the problems of lag and nonlinear coupling in quality prediction during yarn dyeing were solved, achieving real-time and accurate quality prediction and control, generating physically interpretable process adjustment instructions, and improving production efficiency and product quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGHUA UNIV
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve real-time and accurate quality prediction and control during the yarn dyeing process. Traditional methods suffer from lag and nonlinear coupling effects that are difficult to explain. Pure data models are inaccurate in their predictions for new processes, dyes, and yarns and cannot generate process adjustment instructions.
A physical adversarial feature screening model for porous topology of yarn packages is constructed. Combined with a dyeing quality prediction model with multi-scale physical-spatiotemporal manifold coupling, the root cause is diagnosed through physical sensitivity gradient, and process control instructions are generated to achieve physically interpretable real-time prediction and control.
It enables real-time, high-precision quality prediction and control of the yarn dyeing process, maintains prediction stability when there are out-of-distribution samples, generates accurate process adjustment instructions, and improves production efficiency and product quality consistency.
Smart Images
Figure CN122243305B_ABST