Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Coal Mine Gas Early Warning System Based on Fuzzy Data Fusion Technology

Authors
Xiaoming Wu, Chao Xu, Yue Ma
Corresponding Author
Xiaoming Wu
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.194How to use a DOI?
Keywords
coal mine safety, fuzzy data fusion, gas warning
Abstract

The process of exploration and production in coal mines have many potential dangers so the coal mine safety problem has become the focus of social concern.Mine gas early warning system is an important measure that guarantee coal mine safety production because coal mine gas explosion is an important cause of coal mine accidents. In order to improve the accuracy and timeliness of the disaster early warning and reduce accidents,we research and develop the technology of coal mine gas early warning system based on fuzzy data fusion technology.

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 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.194How 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  - Xiaoming Wu
AU  - Chao Xu
AU  - Yue Ma
PY  - 2016/06
DA  - 2016/06
TI  - Coal Mine Gas Early Warning System Based on Fuzzy Data Fusion Technology
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 928
EP  - 930
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.194
DO  - 10.2991/mmebc-16.2016.194
ID  - Wu2016/06
ER  -