摘要
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。
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 utili⁃zation in cloud-based IoT models.The main functions include user equipment access management,real-time data processing,task ur⁃gency classification,and message notification for user data analysis results.The realization of this scheme can further improve the qual⁃ity of medical services and simplify the service process,and is suitable for the construction of new pension models and high-end resi⁃dences.
作者
泮洪杰
刘纪敏
赵慧奇
刘义伟
贾全秋
文龙日
PAN Hong-jie;LIU Ji-min;ZHAO Hui-qi;LIU Yi-wei;JIA Quan-qiu;WEN Long-ri(School of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266000,China)
出处
《软件导刊》
2020年第5期124-127,共4页
Software Guide
基金
山东省自然科学基金项目(ZR20l3DMOII)
山东省重点研发计划项目(2016GGX105013)。
关键词
医养健康
信息采集
雾计算
物联网
智能网关
health care
information collection
fog computing
Internet of things
intelligent gateway