Proceedings of the 2016 International Conference on Mechanics, Materials and Structural Engineering

Design of Coal Mine Intelligent Monitoring System based on ZigBee Wireless Sensor Network

Authors
Dan Gao, Weiwei Li, Kun Dai
Corresponding Author
Dan Gao
Available Online March 2016.
DOI
10.2991/icmmse-16.2016.31How to use a DOI?
Keywords
ZigBee, Intelligent control, Monitor
Abstract

This paper introduces the overall architecture of coal mine intelligent monitoring system. Focusing on two key issues of intelligent control and ZigBee wireless sensor networks were studied. Coal mine intelligent monitoring system can be used to monitor the concentration of carbon monoxide, carbon dioxide concentration, oxygen concentration, wind speed, air pressure, smoke, temperature and etc.. Sensor data are transmitted by the ZigBee wireless sensor network to the monitor host machine which using intelligent control scheme to make control decisions. The system can be used to monitor to coal mine. The operation of system has the very high actual effect.

Copyright
© 2016, 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 2016 International Conference on Mechanics, Materials and Structural Engineering
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-187-2
ISSN
2352-5401
DOI
10.2991/icmmse-16.2016.31How to use a DOI?
Copyright
© 2016, 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  - Dan Gao
AU  - Weiwei Li
AU  - Kun Dai
PY  - 2016/03
DA  - 2016/03
TI  - Design of Coal Mine Intelligent Monitoring System based on ZigBee Wireless Sensor Network
BT  - Proceedings of the 2016 International Conference on Mechanics, Materials and Structural Engineering
PB  - Atlantis Press
SP  - 182
EP  - 187
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmse-16.2016.31
DO  - 10.2991/icmmse-16.2016.31
ID  - Gao2016/03
ER  -