Studies on the best production mode of traditional Chinese medicine driven by artificial intelligence and its engineering application.
10.19540/j.cnki.cjcmm.20250513.302
- Author:
Zheng LI
1
;
Ning-Tao CHENG
2
;
Xiao-Ping ZHAO
3
;
Yi TAO
4
;
Qi-Long XUE
1
;
Xing-Chu GONG
5
;
Yang YU
1
;
Jie-Qiang ZHU
4
;
Yi WANG
5
Author Information
1. State Key Laboratory of Chinese Medicine Modernization Tianjin 301617,China College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine Tianjin 301617, China Tianjin Key Laboratory of Intelligent and Green Pharmaceuticals for Traditional Chinese Medicine Tianjin 301617, China.
2. School of Public Health, School of Medicine, Zhejiang University Hangzhou 310058, China.
3. State Key Laboratory of Chinese Medicine Modernization Tianjin 301617,China School of Basic Medical Sciences, Zhejiang Chinese Medical University Hangzhou 310053, China.
4. College of Pharmaceutical Science, Zhejiang University of Technology Hangzhou 310014, China.
5. State Key Laboratory of Chinese Medicine Modernization Tianjin 301617,China College of Pharmaceutical Sciences, Zhejiang University Hangzhou 310058, China.
- Publication Type:Journal Article
- Keywords:
digital twin;
intelligent decision-making;
multi-agent collaboration;
process state evaluation;
the best production mode of traditional Chinese medicine
- MeSH:
Artificial Intelligence;
Drugs, Chinese Herbal;
Medicine, Chinese Traditional/methods*;
Humans
- From:
China Journal of Chinese Materia Medica
2025;50(12):3197-3203
- CountryChina
- Language:Chinese
-
Abstract:
The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
