Application progress on data-driven technologies in intelligent manufacturing of traditional Chinese medicine extraction.
10.19540/j.cnki.cjcmm.20230824.601
- Author:
Xin-Rong MA
1
;
Bei-Xuan WANG
2
;
Wan-Shun ZHAO
2
;
De-Gang CONG
2
;
Wei SUN
3
;
Hao-Shu XIONG
3
;
Shun-Nan ZHANG
2
Author Information
1. National & Local United Engineering Laboratory for Traditional Chinese Medicine Advanced Manufacturing Technology,Tasly Pharmaceutical Group Co., Ltd. Tianjin 300410, China China Pharmaceutical University Nanjing 211198, China.
2. National & Local United Engineering Laboratory for Traditional Chinese Medicine Advanced Manufacturing Technology,Tasly Pharmaceutical Group Co., Ltd. Tianjin 300410, China.
3. National & Local United Engineering Laboratory for Traditional Chinese Medicine Advanced Manufacturing Technology,Tasly Pharmaceutical Group Co., Ltd. Tianjin 300410, China National Key Laboratory of Chinese Medicine Modernization Tianjin 300410, China.
- Publication Type:Journal Article
- Keywords:
data-driven technology;
online detection;
process control;
process development;
production management;
traditional Chinese medicine extraction
- MeSH:
Medicine, Chinese Traditional;
Drugs, Chinese Herbal;
Quality Control;
Big Data;
Algorithms
- From:
China Journal of Chinese Materia Medica
2023;48(21):5701-5706
- CountryChina
- Language:Chinese
-
Abstract:
The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.
