Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Design and Implementation of PM2.5 Monitoring Application Based on Android and Remote Sensing Data

Authors
Luo Zhang, Feng-Bin Zheng, Shu Xu, Qiang Ge
Corresponding Author
Luo Zhang
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.74How to use a DOI?
Keywords
air pollution monitoring; satellite remote sensing; android; pm2.5; message pushing
Abstract
The traditional ground-based monitoring network have been too coarse to meet people's right to know the air pollution over current location and sounding areas, based on multi-satellite data and Android platform, an air-pollution monitoring system is designed to provide high-resolution PM2.5 concentrations information. The remote sensing results are generated through My Server and dynamically displayed by smartphone. When the pollutant concentrations exceed the standard value, the real-time alert function is activated by android message pushing mechanism. Through the experiment in Beijing areas and the comparison between satellite-retrieval and ground-based monitoring, our app has been validated with high feasibility and availability.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.74How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Luo Zhang
AU  - Feng-Bin Zheng
AU  - Shu Xu
AU  - Qiang Ge
PY  - 2016/11
DA  - 2016/11
TI  - Design and Implementation of PM2.5 Monitoring Application Based on Android and Remote Sensing Data
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.74
DO  - https://doi.org/10.2991/ceis-16.2016.74
ID  - Zhang2016/11
ER  -