目的 利用物联网技术改进器械包并优化消毒器械物流系统，开发出污染风险低、回收率与追溯率高的消毒器械智能化物流系统。方式 通过文献分析法确定器械污染独立影响因子，运用射频识别技术(RFID)改进器械包，利用智能设备优化原物流系统;根据动态规划与贝叶斯风险原理构建消毒器械污染风险函数，在有限预算下测算出风险最低的建设方案，对比分析优化前后器械回收率与污染率，检验优化效果。结果 算例结果得到，相较于原系统，优化后的智能物流系统器械回收率提高了79.82%，污染追溯率提高了81.18%，器械污染风险率降低了86.33%。结论 结合器械污染风险函数运算结果表明，在一定预算条件下，该模型能测算出污染风险最小的系统优化方案，帮助管理者做出决策。说明合理运用物联网技术提高消毒器械物流系统数字化水平，不仅能提高器械数据采集率，还能有效提高器械回收率与污染追溯率，降低器械污染风险。

The work aims to make use of IoT technology to improve equipment set and optimize the logistics system of disinfection equipment, in order to develop an intelligent logistics system of disinfection equipment with low pollution risk, high recovery and traceability rate. The independent influence factors of equipment pollution were determined by literature analysis. The equipment set was improved by radio frequency identification technology (RFID). The original logistics system was optimized through intelligent equipment. According to dynamic programming and Bayesian risk principle, the pollution risk function of disinfection equipment was constructed, then the lowest risk construction scheme under limited budget was calculated. The recovery rate and contamination rate of optimization before & after optimization were comparative analyzed. The optimization effect was verified. The calculation results showed that compared with the original system, the intelligent logistics system's equipment recovery rate was increased by 79.82%, the pollution traceability rate was increased by 81.18%, and the equipment pollution risk rate was reduced by 86.33%. Combined with the calculation results of instrument pollution risk function, it is concluded that under a certain budget condition, the model can calculate out an optimization scheme with the minimum pollution risk, and help managers to make decisions. It indicates that reasonable use of IoT technology to realize digital upgrade of disinfection equipment logistics system can not only improve data collection rate effectively but also improve the recovery rate and pollution traceability rate of equipment, and thus reduce the risk of equipment pollution.