莱赛尔纤维烘干工序能耗预测与滚动优化控制方法及系统
By constructing a prediction model for moisture regain and unit energy consumption, and by coordinating the heating chain, dehumidification chain, and conveying chain of the lyocell fiber drying process, the problem of difficulty in controlling energy consumption and terminal moisture regain in the existing technology has been solved, and the stability of the production process and optimization of energy consumption have been achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGHUA UNIV
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
The existing lyocell fiber drying process lacks a unified coordination mechanism, making it difficult to ensure production cycle and operational stability while simultaneously reducing energy consumption and achieving acceptable end-product moisture regain. Furthermore, there is a lack of effective online moisture content detection and energy consumption assessment and optimization control solutions.
By collecting multi-source process data and downstream packaging terminal data, preprocessing and time-delay alignment are performed to construct a prediction model for moisture regain rate and unit energy consumption. Combined with the range of control values and adjustment range limitations, energy consumption prediction and rolling optimization control are realized, and the heating chain, dehumidification chain and conveying chain are coordinated and regulated.
It achieves stable control of energy consumption and terminal moisture regain rate under operating condition disturbances, reduces fluctuations in energy consumption and terminal moisture regain rate indicators, and improves production stability and quality reliability.
Smart Images
Figure CN122085722B_ABST