摘要
该文结合中药制药工业应用场景的原理和领域知识,探讨了如何建立基于数字孪生的中药智能制药关键技术。以新型中药提取设备与中药丸剂干燥设备的数字孪生研究为实例,示范了该技术在新型制药工艺开发及制药设备结构优化中的应用。探讨了该技术在中药生产行业中形成数据驱动的生产过程实时优化、运维服务动态预测方法,构建基于数据与算法驱动的"理治"生产模式,实现产品全生命周期质量感知、评估、预测和智能控制与智能决策的技术方案。
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.
作者
于洋
苗坤宏
李正
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)
出处
《中国中药杂志》
CAS
CSCD
北大核心
2021年第9期2350-2355,共6页
China Journal of Chinese Materia Medica
基金
国家自然科学基金面上项目(82074276)
国家“重大新药创制”科技重大专项(2018ZX09201011)
中国工程科技中长期发展战略研究项目(2019-ZCQ-10)。
关键词
智能制造
数字孪生
中药制药
intelligent manufacturing
digital twin
traditional Chinese medicine manufacturing
