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| Research progress of data driven technologies for intelligent process optimal control and prospects of its applications in advanced manufacturing of traditional Chinese medicine |
| Hits 1227 Download times 967 Received:June 15, 2020 |
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| DOI
10.11656/j.issn.1673-9043.2020.05.02 |
| Key Words
data driven;intelligent manufacturing of traditional Chinese medicine;process control optimization;intelligent manufacturing |
| Author Name | Affiliation | E-mail | | SI Menglan | College of Pharmaceutical engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | WANG Beixuan | College of Pharmaceutical engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | MIAO Peiqi | College of Pharmaceutical engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | YU Yang | College of Pharmaceutical engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | SUO Tongchuan | College of Pharmaceutical engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | | | LI Zheng | College of Pharmaceutical engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | lizheng@tjutcm.edu.cn |
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| Abstract
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| With the development of information technologies,modern manufacturing enterprises are in urgent needs of informatic and intelligent manufacturing technologies,so as to improve product quality,production efficiency and production cost. Accordingly,industrial Big Data is gradually becoming the core resources for enterprises,and efficient data mining is becoming the core competitiveness of enterprises. As a key technology of intelligent manufacturing,the construction of data-driven models and the model based process controlling have been widely used in various industries. This article reviews the application of data-driven intelligent manufacturing technologies in various industries and how the research results can provide strategic suggestions for intelligent optimal control of the manufacturing of traditional Chinese medicine in the era of Big Data. |
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