中药制药工艺知识库构建方法研究

Construction of knowledge base of Chinese medicine manufacturing

中药制药工业当前正处于数字化与智能化转型过程中,需要针对文献报道数据、中药制药生产过程中积累的海量历史数据信息和药工操作经验,建立智能化方法进行高效分析,挖掘并整理出有价值的过程信息。为此,亟需建立基于知识驱动的中药智能制造关键技术体系,推动中药制药技术智能化升级。该研究提出了中药制药生产工艺知识库的构建方法,分别从文献挖掘、案例推理和实时预测3个层面,以中药带式干燥工艺为研究对象初步构建了中药制药工艺知识库。工艺知识库整合了深度学习(deep learning)、案例分析(case-based reasoning)、仿真建模(simulation modeling)等技术,融合制药过程机制及大数据信息,实现了知识自动化与决策科学化,为中药制药工业从“经验制药”向“智慧制药”跨越提供示范。

Chinese medicine pharmaceutical industry is in the process of digital and intelligent transformation.Intelligent methods are required for efficient analysis and mining of the valuable information in the history data including literature data,pharmaceutical big data,and expert knowledge.Therefore,it is urgent to establish a knowledge-driven intelligent system of pharmaceutical technologies of Chinese medicine for efficient supplying of high-quality Chinese medicinal products.The present study proposed the construction method of the knowledge base of Chinese medicine manufacturing,which was preliminarily established from literature mining,case-based reasoning,and real-time prediction based on vacuum belt drying process optimization.Integrating the technologies(such as deep learning,case-based reasoning,and simulation modeling),pharmaceutical mechanisms,and big data,the knowledge base of Chinese medicine manufacturing can realize knowledge automation and scientific decision-making.It provides an example for upgrading from experience-based manufacturing to intelligent Chinese medicine manufacturing.