本文以中药滴剂生产过程的优化为目标,以某大型中药集团企业的滴剂生产过程为背景,为实现滴丸制剂过程数字化进行了理论与应用上的探索,其中,为制剂过程建立了多个机理模型:通过辨识建立数据模型,对生产过程进行分析,给出了相应的优化方案;对难以直接测量的滴制速度这一关键参数,提出了多种软测量算法,利用粒子群算法优化模糊控制器,构建了一个实用的滴速模糊控制系统;设计与构建了数据采集分析平台和制剂过程生产测控系统。

In this article the study chooses the optimization of the production process of TCM drops as its objective and the production process of drops of a large-scale TCM enterprise as its background and takes the modeling, optimization and control of the production process of TCM drops as its content to analyze, model and monitor the production process of TCM drops by modern science and technology so as to improve the quality control of drops and explore the possibility of the digitalization of the production process of TCM drops in both theory and application. The article establishes a few models of mechanisms for the production process of TCM drops and the models of data by the way of identification, analyzes the process of drop production and then proposes a scheme of optimization of the process; puts forward an algorithm for soft measurement of dropping tempo, the key parameter which is quite difficult to measure directly, and suggests that the algorithm of particle cluster could be used to optimize fuzzy controller so as to establish a feasible system of fuzzy control of dropping tempo; and designs and sets up a platform for the collection and analysis of data as well as a system of controlling the production process of TCM drops.

科学技术部863计划项目(2003AA415220)：中药企业数字化项目，负责人：李文。