【人工智能驱动的中药最佳生产模式及其工程应用研究】。

Q3 Pharmacology, Toxicology and Pharmaceutics
Zheng Li, Ning-Tao Cheng, Xiao-Ping Zhao, Yi Tao, Qi-Long Xue, Xing-Chu Gong, Yang Yu, Jie-Qiang Zhu, Yi Wang
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引用次数: 0

摘要

中医药产业是中国医药产业的重要组成部分,在保障公众健康、促进经济社会发展方面发挥着战略作用。针对中药产业高质量发展的现实需求,本文重点研究了中药生产系统数字化、智能化转型过程中遇到的瓶颈问题。具体而言,探讨了构建最佳中药生产模式的技术策略和方法。提出了一种创新的以人工智能(AI)为中心的中药生产技术体系结构,重点关注生产管理的关键方面,包括流程建模、状态评估和决策优化。此外,还开发了一系列关键技术,以实现中药的最佳生产模式。最后,提出了一种以“测量-建模-决策-执行”闭环系统为特征的新型人工智能驱动中药生产模式。通过工程案例进行了介绍。本研究可望为中医药产业发展新的优质生产力提供一条技术路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Studies on the best production mode of traditional Chinese medicine driven by artificial intelligence and its engineering application].

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.

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来源期刊
Zhongguo Zhongyao Zazhi
Zhongguo Zhongyao Zazhi Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
1.50
自引率
0.00%
发文量
581
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