中药智能制造质量数字化研究及复方丹参滴丸实践

中国医疗健康产业将逐渐形成以消费者需求为中心的综合服务模式。面向多元化、个性化、透明化的市场升级需求,通过智能制造来实现药品供应的高质量、精准化与柔性化,是药品制造企业提升核心竞争能力的关键。依托于笔者在中药工厂实施的数个智能制造项目,该论文对中药智能制造关键技术研究以及产业应用实践进行了阐述。首先,提出了以质量数字化为核心的中药智能制造方法学,主要包括在工艺质量设计、生产过程控制、产品批次评价3个方面的数字化关键技术。接下来,介绍了中药工厂智能制造系统的架构设计,对涵盖种苗、种植、饮片、制造、仓储、质量管理环节各系统的功能模块和数据互通关系进行了说明。最后,以复方丹参滴丸生产车间为例,介绍了数字化关键技术的研究情况,以及过程检测与分析系统、数据采集与监控系统(supervisory control and data acquisition, SCADA)、制造执行系统(manufacturing execution system, MES)、数据挖掘分析系统、企业资源计划(enterprise resource planning system, ERP)等主要系统的实际运行和生产应用情况。该文旨在为中药工业实施智能制造的技术路径规划和系统架构提供参考借鉴。

Study of intelligent manufacturing quality digitalization of traditional Chinese medicine and practice on Compound Danshen Dripping Pills

China healthcare industry has gradually developed the consumer-centric integrated service model. To satisfy consumers′ increasing demands on pluralistic, personalized and transparent healthcare services, pharmaceutical manufacturing enterprises must provide high-quality, precise and flexible medicines. This can be achieved by accelerating implementation of intelligent manufacturing, which is the core competitiveness of pharmaceutical manufacturing enterprises. According to the authors′ intelligent manufacturing projects in a traditional Chinese medicine(TCM) factory, study and industrial practice on intelligent manufacturing were presented in this paper. First, the quality digitalization-based intelligent manufacturing methodology of TCM was proposed in this paper. The methodology mainly included three digitalized technologies in process and quality design, manufacturing process control and product batch evaluation. Next, the architectural design of intelligent manufacturing systems in one TCM factory was introduced, and the functional modules and data transmission relationships covering seedling, cultivation, herbal slices, preparation, storage and quality management systems were described. Finally, these technologies were fully used, and an integrated quality digitalization system was successfully established in the production workshop of a TCM product Compound Danshen Dripping Pills. The actual operation and application of process analyzers, supervisory control and data acquisition(SCADA), manufacturing execution system(MES), data analysis system, and enterprise resource planning system(ERP) were introduced. This paper provides reference for technical path planning and systematic architecture of TCM intelligent manufacturing.