Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

Design and Research of Urban Haze Weather Monitoring System

Authors
Pengfei Wang
Corresponding Author
Pengfei Wang
Available Online December 2018.
DOI
10.2991/meici-18.2018.131How to use a DOI?
Keywords
Embedded system; Environmental monitoring; sensor; System transport
Abstract

Nowadays people have higher and higher requirements for the air quality. Using the Tiny6410 development board with the ARM11 processor and the various sensors to realize a haze weather monitoring system. This system can be used for monitoring the temperature, humidity and PM2.5 value of the environment. The collected data can be sent to the PC in real time. Through the test results, it can be seen that the error of the PM2.5 value is small, the temperature and humidity test results are within the actual requirements. So the system can be applied to an unattended area for real-time data acquisition and sending.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
10.2991/meici-18.2018.131
ISSN
1951-6851
DOI
10.2991/meici-18.2018.131How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pengfei Wang
PY  - 2018/12
DA  - 2018/12
TI  - Design and Research of Urban Haze Weather Monitoring System
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 662
EP  - 665
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.131
DO  - 10.2991/meici-18.2018.131
ID  - Wang2018/12
ER  -