Development of Cloud Based Air Pollution Information System Using Visualization

• 作者: Dae-Young Kim HwaMin Lee JungYeon Seo SangWook Han SeokHoon Kim
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 地球科学
• 关键词: Air pollution VISUALIZATION R BIG data CLOUD CLUSTERS
• 年，卷（期）: 2019,（6）
• 页码范围: 697-711
• 页数: 15页
• 分类号: X51

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.