基于数字孪生模型的涂料烘干工艺优化方法及系统
By integrating equipment and data through a digital twin model and combining a multi-mode sensor network and correlation model for real-time optimization, the problem of unstable coating drying quality was solved, and the stability and uniformity of the drying process were improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUXI PHOENIX ARTIST MATERIALS
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing coating drying processes are difficult to adaptively control based on real-time conditions, resulting in unstable drying quality. Furthermore, traditional methods are difficult to effectively predict and optimize, leading to low energy efficiency and lagging control.
Based on the digital twin model, the structural material properties of the drying equipment, the physical properties of the coating, and historical data are integrated to form a model. A multi-mode sensor network is deployed for real-time data acquisition. A process parameter-drying quality correlation model is constructed. Optimization parameters are determined through multi-objective optimization and closed-loop control is implemented.
It enables real-time sensing and predictive optimization of the coating drying process, improves the stability and uniformity of the drying process, solves the problem of unstable drying quality, and improves energy efficiency.
Smart Images
Figure CN122411085A_ABST