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Development of Cloud Based Air Pollution Information System Using Visualization

机译:基于云的空气污染信息系统的发展使用可视化

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摘要

Air pollution caused by fine dust is a big problem all over the world and fine dust has a fatal impact on human health. But there are too few fine dust measuring stations and the installation cost of fine dust measuring station is very expensive. In this paper, we propose Cloud-based air pollution information system using R. To measure fine dust, we have developed an inexpensive measuring device and studied the technique to accurately measure the concentration of fine dust at the user's location. And we have developed the smartphone application to provide air pollution information. In our system, we provide collected data based analytical results through effective data modeling. Our system provides information on fine dust value and action tips through the air pollution information application. And it supports visualization on the map using the statistical program R. The user can check the fine dust statistics map and cope with fine dust accordingly.
机译:细粉尘引起的空气污染是世界各地的一个大问题,细粉体对人类健康有致命的影响。但是太少的细粉尘测量站,细粉尘测量站的安装成本非常昂贵。在本文中,我们提出了使用R的云的空气污染信息系统来测量细粉尘,我们开发了一种廉价的测量装置,并研究了该技术,以准确测量用户位置的细粉尘的浓度。我们开发了智能手机申请,以提供空气污染信息。在我们的系统中,我们通过有效的数据建模提供基于收集的数据的分析结果。我们的系统通过空气污染信息应用提供有关细小粉尘值和动作提示的信息。它支持使用统计程序R上地图上的可视化。用户可以检查细粉尘统计地图并相应地应对细灰尘。

著录项

  • 来源
    《Computers, Materials & Continua》 |2019年第3期|697-711|共15页
  • 作者单位

    Deptartment of Computer Science and Engineering Soonchungyang University Asan 31538 Korea;

    Deptartment of Computer Science and Engineering Soonchungyang University Asan 31538 Korea;

    School of Information Technology Engineering Daegu Catholic University Gyeongsan 38430 Korea;

    Department of Computer Software and Engineering Soonchungyang University Asan 31538 Korea;

    Department of Computer Software and Engineering Soonchungyang University Asan 31538 Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; visualization; R; big data; cloud clusters;

    机译:空气污染;可视化;r;大数据;云簇;

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