摘要
新一代信息技术的发展正驱动制造工业向数字化、智能化转型。本文以制药干燥过程为例,综述了基于数据驱动的过程优化建模的相关技术方法在解决药品质量提高与成本优化问题中的应用。分别从过程数据的信息融合、过程建模优化与过程自适应优化3个方面入手,旨在通过比较分析各方法的特点,说明基于数据驱动的过程建模对于复杂工艺过程控制的优越性,及其在提升过程智能化管控水平的重要作用。
The development of the new generation of information technology is driving the manufacturing to digital and intelligent industries.This review takes the pharmaceuticaldrying process as an example,and summarizes the application of data-driven process optimization modeling related technologies and methods in solving the problem of drug quality and cost optimization.We focus on the information fusion of process data,the model based process optimization and the adaptive process optimization.By analyzing and comparing the characteristics of various methods,we show the advantages of data-driven process modeling for optimization of complex process control and its important role in enabling intelligent process control and management.
作者
王鐾璇
司梦兰
缪培琪
于洋
所同川
李正
WANG Beixuan;SI Menglan;MIAO Peiqi;YU Yang;SUO Tongchuan;LI Zheng(College of Pharmaceutical engineering of TCM,Tianjin University of Traditional Chinese Medicine,Tianjin 301617,China)
出处
《天津中医药大学学报》
CAS
2020年第6期604-611,共8页
Journal of Tianjin University of Traditional Chinese Medicine
基金
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
数据驱动
数据融合
过程控制
自适应优化
干燥过程
智能制造
data driven
data fusion
process control
adaptive optimization
drying process
intelligent manufacturing
