基于云边端架构的急救医疗设备物联网设计与实现  

Design and implementation of Internet of Things for emergency medical devices based on cloud-edge-device architecture

作　　者：范勇 梁洪 孙继鹏 张博颖[2] 朱海燕[3] 曹德森[2] 张政波[1] 何昆仑[4] FAN Yong;LIANG Hong;SUN Jipeng;ZHANG Boying;ZHU Haiyan;CAO Desen;ZHANG Zhengbo;HE Kunlun(Center for Artificial Intelligence in Medicine,Chinese PLA General Hospital,Beijing 100853,P.R.China;Department of Medical Engineering,Chinese PLA General Hospital,Beijing 100853,P.R.China;Department of Emergency,the First Medical Center,Chinese PLA General Hospital,Beijing 100853,P.R.China;Medical Big Data Research Center,Chinese PLA General Hospital,Beijing 100853,P.R.China)

机构地区：[1]解放军总医院、医学创新研究部医学人工智能研究中心,北京100853 [2]解放军总医院、医学保障部医学工程科,北京100853 [3]解放军总医院、第一医学中心急诊科,北京100853 [4]解放军总医院、医学创新研究部、医学大数据研究中心,北京100853

出　　处：《生物医学工程学杂志》2023年第1期103-109,117,共8页Journal of Biomedical Engineering

基　　金：解放军总医院医疗大数据研发项目(2018MBD-008,2018MBD-009);2022年度军队后勤科研项目(145BHQ090003000X15)。

摘　　要：物联网技术作为实现业务数字化和智能化的关键基础支撑技术,在智慧医疗中发挥着重要作用。本文探讨了医院内急救医疗设备物联网解决方案,提出基于“云-边-端”架构的急救设备物联网设计方案:端侧实现设备物联,边中进行流数据封装、解析、分发以及计算,云上存储数据并开展数据挖掘可视化等。该系统自从2021年1月在急诊科上线运行以来,已稳定工作近20个月。项目组对近20个月的运行情况作了分析,包括数据采集情况分析、物联网性能测试以及预测预警模型开发等,实施效果验证了基于该技术方案的急救设备物联网系统的可行性和可靠性,能长时间、持续采集急救设备数据并支持机器学习、人工智能算法模型的开发和部署。本文最后对急救设备物联网中医疗设备数据交换、无线传输、院内外急救设备物联以及下一步开展急救设备物联网数据分析应用进行了展望。Internet of Things(IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected;Streaming data were parsed, distributed, and computed at the edge nodes;Data were stored,analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.

关 键 词：急救医学 医疗设备 物联网 流数据 

分 类 号：R-05[医药卫生] TN929.5[电子电信—通信与信息系统] TP391.44[电子电信—信息与通信工程]