【摘要】 针对万物互联背景下的居民健康数据管理需求,文中利用云计算、大数据、移动互联网等技术,通过配置智能可穿戴健康检查设备、互联网健康管理一体机等智能终端,构建"健康养老智慧平台"。基于边缘计算理论设计了面向海量健康数据的信息管理系统。该系统在部署时,在每个数据采集区域引入边缘节点,系统由数据的采集传输、查询和分析模块构成。在层次上,划分为用户层、业务层、应用服务层、数据支撑层和硬件层。测试结果表明,当数据写入/读取的条目小于10万级别时,可以达到毫秒级的响应;当数据写入/读取条目超过百万级别时,系统仍可以平稳运行。更多还原

【Abstract】 According to the needs of residents’ health data management in the context of Internet of everything,this paper uses cloud computing,big data,mobile Internet and other technologies to build a "smart platform for health care for the elderly" by configuring intelligent terminals such as intelligent wearable health inspection equipment,Internet health management integrated machine. Based on edge computing theory,an information management system for massive health data is designed. When the system is deployed,edge nodes are introduced into each data collection area. The system is composed of data collection,transmission,query and analysis modules. At the level,it is divided into user layer,business layer,application service layer,data support layer and hardware layer. The test results show that when the data write/read entries are less than 100000 level,the response can reach millisecond level;when the data write/read entries are more than one million level,the system can still run smoothly.更多还原