一种基于雾计算的健康监测系统架构

为了进一步提高医养健康服务质量并解决传统方案中存在的数据时延与数据隐私问题，提出一种居家环境中健康信息采集与管理系统架构方案。该方案采用雾计算范式，通过部署在社区中的众多智能网关形成边缘雾，能够更好地拓展云计算覆盖范围并解决基于云的物联网模式数据延时严重和带宽资源利用率低的问题。主要功能包括用户设备接入管理、实时数据处理、任务紧急程度分类、针对用户数据分析结果的消息通知等。该方案的实现能够进一步提高医疗服务质量、简化服务流程，适用于新型养老模式与高级住宅建设。

Research and Design of Family Health Monitoring and Management Platform Based Fog Computing

In order to further improve the quality of medical and health services and solve the problems of data delay and data privacy in traditional solutions，a system architecture for health information collection and management in a home environment is proposed. The scheme adopts the paradigm of fog computing. The edge fog is formed by many intelligent gateways deployed in the community，which can better expand the coverage of cloud computing and solve the problems of serious data delay and low bandwidth resource utilization in cloud-based IoT models. The main functions include user equipment access management，real-time data processing，task urgency classification，and message notification for user data analysis results. The realization of this scheme can further improve the quality of medical services and simplify the service process，and is suitable for the construction of new pension models and high-end residences