• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

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养老社区环境健康预警系统的设计与实现

李芷珊1,2,施润和1,2   

  1. (1.华东师范大学地理信息科学教育部重点实验室,上海 200241;
    2.华东师范大学环境遥感与数据同化联合实验室,上海 200241)
  • 收稿日期:2015-06-03 修回日期:2015-09-23 出版日期:2016-07-25 发布日期:2016-07-25
  • 基金资助:

    上海市科委项目(13231203804,15dz1207805);上海市卫计委重点学科建设项目(15GWZK0201)

An environmental health warning system for pension communities 

LI Zhi-shan1,2,SHI Run-he1,2   

  1. (1.Key Laboratory of Geographic Information Science,Ministry of Education,East China Normal University,Shanghai 200241;
    2.Joint Laboratory for Environmental Remote Sensing and Data Assimilation,
    East China Normal University,Shanghai 200241,China)
  • Received:2015-06-03 Revised:2015-09-23 Online:2016-07-25 Published:2016-07-25

摘要:

当前环境健康问题日益受到重视,尤其是基础体质较差的老年群体,易受环境健康风险的威胁。针对该问题,将现代化的信息技术与发展潜力巨大的养老社区相组合,给老年人提供动态化、个性化的环境健康信息服务,提升养老社区的智慧元素,具有重要的社会效益。基于Java Web技术,完成了养老社区环境健康预警系统,在实时和预报环境气象数据的支持下,实现了感冒、高血压、慢性支气管炎等常见老年疾病发病指数的动态预报与个性化预警。通过对老年人、家属、医务人员、管理员等不同角色的需求分析和功能设计,高效地实现了医务人员的统筹管理、社区老人的及时提醒和老人家属的远程通知。该系统不仅适用于养老社区,对于居家养老的集中管理也具有应用潜力。

关键词: 养老社区, 环境气象, 慢性疾病, 预警, Java Web

Abstract:

Current environmental issues draw more attention and cause a great threat to older age groups who have weak physique. Combining modern information technology with pension communities can provide dynamic and personalized environmental health information services for the old. In addition, it makes pension communities much smarter. We therefore design a warning system based on Java Web to dynamically forecast disease indexes including cold, high blood pressure, chronic bronchitis and some other diseases. Through the demand analysis of and the functional design for different roles, including the old, family members, medical staff and administrators, this system can realize medical staff management, remind the old timely and send notification to family members. At the same time, it is not only applicable to pension communities, but also to the centralized management of the old at home.

Key words: pension community, environmental meteorology, chronic diseases, early warning, Java Web