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| Research progress of intelligent control technology of pharmaceutical drying process based on data driven |
| Hits 1228 Download times 714 Received:June 20, 2020 |
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| DOI
10.11656/j.issn.1673-9043.2020.06.02 |
| Key Words
data driven;data fusion;process control;adaptive optimization;drying process;intelligent manufacturing |
| Author Name | Affiliation | E-mail | | WANG Beixuan | College of Pharmaceutical engineering of TCM, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | SI Menglan | College of Pharmaceutical engineering of TCM, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | MIAO Peiqi | College of Pharmaceutical engineering of TCM, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | YU Yang | College of Pharmaceutical engineering of TCM, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | SUO Tongchuan | College of Pharmaceutical engineering of TCM, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | LI Zheng | College of Pharmaceutical engineering of TCM, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | lizheng@tjutcm.edu.cn。 |
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| Abstract
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| The development of the new generation of information technology is driving the manufacturing to digital and intelligent industries. This review takes the pharmaceuticaldrying process as an example,and summarizes the application of data-driven process optimization modeling related technologies and methods in solving the problem of drug quality and cost optimization. We focus on the information fusion of process data,the model based process optimization and the adaptive process optimization. By analyzing and comparing the characteristics of various methods,we show the advantages of data-driven process modeling for optimization of complex process control and its important role in enabling intelligent process control and management. |
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