中药学实验教学安全管理的困境与突破——基于传统风险防控与智能技术赋能的协同视角

Dilemmas and Breakthroughs in Safety Management during the Experimental Teaching of Traditional Chinese Medicine—A Collaborative Perspective Based on Traditional Risk Prevention and Empowerment with Intelligent Technology

摘要: 中药学专业的实验教学是中医药人才培养的核心环节，安全管理是保障教学正常环境及教学质量的关键，当前中药学实验教学面临实验复杂度提升与安全管控滞后的双重挑战。由于人工巡检难以有效监控危化品动态及设备运行，传统管理模式的实验室存在管理盲点多、防爆系统老化及应急能力薄弱等缺陷。本研究提出构建智能决策系统，通过数字孪生技术实现设备精准调控，结合区块链技术建立危化品全流程追溯体系，同步构建覆盖实验的三维安全标准框架，以提高实验室安全管理及预警精度。其次，采用离子液体溶剂替代技术减少有机溶剂使用，应用光伏设备推动实验室低碳化发展，探索中药学教学实验室绿色转型。此外，依托元宇宙平台开发AR应急模拟系统，提升操作规范，并通过“虚拟–实操–文化”三维模式强化安全意识，并开展常态化安全教育。旨在探索传统与智能技术协同的新型中药学实验教学安全管理模式，未来需深化智能技术融合，建立动态安全生态体系，为中医药高等教育高质量发展提供支撑。

Abstract: Experimental teaching of traditional Chinese medicine is a core element in the cultivation of talent in traditional Chinese medicine. Safety management is the key to ensuring a normal teaching environment and high-quality teaching. Currently, experimental teaching of traditional Chinese medicine confronts dual challenges: the increasing complexity of experiments and the lagging safety management. Since manual inspection struggles to effectively monitor the dynamics of hazardous chemicals and the operation of equipment, the traditional laboratory management model has numerous flaws, including management blind spots, aging explosion-proof systems, and weak emergency response capabilities. In this study, it is proposed to construct an intelligent decision-making system, realize accurate regulation of equipment through digital twin technology, establish a full-process traceability system for hazardous chemicals combined with blockchain technology, and simultaneously construct a three-dimensional safety standard framework covering experiments, to improve laboratory safety management and early warning accuracy. Using ionic liquid solvents instead of traditional organic ones helps cut down on harmful chemicals. Plus, photovoltaic equipment is being used to encourage more eco-friendly practices in labs. Overall, efforts are being made to explore ways to make traditional Chinese medicine teaching laboratories more environmentally friendly and sustainable. In addition, relying on the meta-universe platform to develop an AR emergency simulation system, improve operation specifications, strengthen safety awareness through the three-dimensional mode of “virtual-practical operation-culture”, and carry out normal safety education. The objective is to explore a novel safety management model for traditional Chinese medicine experimental teaching that is coordinated with intelligent technology. In the future, efforts should be focused on better integrating smart technology and establishing a flexible safety system. This will help support the growth of quality higher education in traditional Chinese medicine.