Real Time Air Quality Monitoring

被引：0

作者：

Enigella, Sumanth Reddy ^{[1
]}

Shahnasser, Hamid ^{[1
]}

机构：

[1] San Francisco State Univ, Coll Sci & Engn, San Francisco, CA 94132 USA

来源：

2018 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SMART TECHNOLOGY (KST 2018) - CYBERNETICS IN THE NEXT DECADES | 2018年

关键词：

Air quality; sensor data; cloud; Rstudio; IOT;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a real-time crowd sensing based air quality monitoring system is presented. The proposed system uses low cost and low power devices with gas sensors to capture the air quality index from the atmosphere. Raw sensor data collected from the gas sensors sent to the cloud using an android application. In cloud, the data is stored and processed. The processed data is visualized in real time on a map using an open-source geospatial data visualization framework such as Leaflet using R programming.

引用

页码：182 / 185

页数：4

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