Yu Yang, Miao Kun-Hong, Li Zheng
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine Tianjin 301617, China State Key Laboratory of Component Traditional Chinese Medicine Tianjin 301617, China.
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine Tianjin 301617, China.
Zhongguo Zhong Yao Za Zhi. 2021 May;46(9):2350-2355. doi: 10.19540/j.cnki.cjcmm.20210114.601.
In this paper, we first introduced the concept of digital twin(DT) based key technologies for intelligent manufacturing of traditional Chinese medicine(TCM) and applied DT in two case studies of novel extraction equipment for traditional Chinese medicine and drying equipment for Chinese medicine pills to illustrate the advantages of DT in development of new pharmaceutical technology and optimization of pharmaceutical equipment structure. Furthermore, we discussed the feasibility to adopt DT in the production process of TCM for formation of data-driven real-time optimization of production process and dynamic prediction `of operation and maintenance service. The "ruled" production mode based on data and driven by algorithm was constructed to realize the technical scheme of quality perception, evaluation, prediction, intelligent control and intelligent decision-making in product life cycle.
在本文中，我们首先介绍了基于数字孪生（DT）的中药智能制造关键技术的概念，并将DT应用于中药新型提取设备和中药丸剂干燥设备的两个案例研究中，以说明DT在新制药技术开发和制药设备结构优化方面的优势。此外，我们还讨论了在中药生产过程中采用DT以形成数据驱动的生产过程实时优化和运维服务动态预测的可行性。构建了基于数据并由算法驱动的“规则化”生产模式，以实现产品生命周期中质量感知、评估、预测、智能控制和智能决策的技术方案。
