为有关部门实时监控药品流通市场加强药品质量监管目前在医药冷链物流中已引入物联网技术，但医药冷链物流环节众多且每个环节风险的不确定性会随时间转移。故关于物联网环境下医药冷链物流各环节风险首先运用流程图法分析造成各环节风险的众多因素源，并运用熵权法对风险指标客观赋权建立风险因素评估指标体系，然后利用GeNIe软件建立动态贝叶斯网络模型对风险环节的关键风险因素进行概率评估。结果显示在风险评估中运输环节风险的发生概率最高，同时企业关于设备的验证选型是影响物联网医药冷链的关键风险因素，这为企业和政府控制药品质量安全管理提供了依据。

In order to timely monitoring of drug circulation market for relevant departments to strengthen drug quality supervision Currently, IoT technology has been introduced in pharmaceutical cold chain logistics, but there are many links in the pharmaceutical cold chain logistics and the risk uncertainty of each link will shift with time. Therefore, the risk of each link of pharmaceutical cold chain logistics in the IoT environment is firstly analyzed by flow chart method to analyze the many factors causing the risks of each link, and the entropy weight method is used to objectively empower the risk indicators to establish a risk factor evaluation index system, and then use the GeNIe software. Establish a dynamic Bayesian network model to evaluate the risk of key risk factors in the risk link. The results show that the risk of transportation link has the highest probability of occurrence in risk assessment, and the verification of equipment selection is the key risk factor affecting IoT pharmaceutical cold chain, which provides a basis for companies and governments to control drug quality and safety management.

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