Design and Implementation of an Infusion Monitoring System Based on IoT

传统的输液护理方式需要消耗很多人力并且难以实时地了解相关数据，针对医疗机构的具体需求，设计并实现了输液监控系统。系统使用STC89C52单片机和称重传感器、液位传感器、电磁控制器、ESP01、蜂鸣器等模块实现了对输液过程的监控，使用Apache + PHP + MySQL搭建后端并调用JQuery和Echarts实现了输液数据的可视化展示。测试结果表明，系统各组件工作正常、运行稳定，数据展示清楚、美观，对输液中出现的情况做出了快速响应，能较准确地计算滴速、剩余时长等数据，异常情况的漏报率0%、错报率1.4次/十分钟，剩余时长预测结果较为准确。本系统具有成本低、部署方便的优点，使用门槛低、可扩展性强，在输液场景中具有很好的实用价值。The traditional method for infusion nursing wastes a lot of manpower and can’t know the real-time situation. Based on the specific demand of medical institutions, an infusion monitoring system has been designed and implemented. The system uses STC89C52 microcontroller, weighing sensor, water position sensor, electromagnetic controller, ESP01, buzzer and other modules to monitor the infusion process. The backend is built with Apache, PHP, MySQL, and JQuery and Echarts are called for data visualization. The results show that all components are working properly and stably, the data display is clear and beautiful. It can quickly respond to exceptions during infusion and accurately calculate data such as drip rate and remaining time. The false alarm rate for abnormal situations is 0%, the false alarm rate is 1.4 times/ten minutes, the prediction results of remaining time are relatively accurate. The system has the advantages of low cost, convenience deployment, it’s easy to promote and high scalability, has great practical value in infusion.