Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

The Research and Application of Intelligent Broadcast System of Coal Mine

Authors
Guo Xiucai, Lu Xiaomin
Corresponding Author
Guo Xiucai
Available Online June 2015.
DOI
10.2991/kam-15.2015.37How to use a DOI?
Keywords
industrial ethernet; CAN bus; TCP/IP; broadcasting.
Abstract

This paper briefly describes the practical significance of coal mine broadcasting system, a comprehensive consideration of functional requirements and the control demands of the system, analyzing the advantages of Industrial Ethernet combines CAN field bus technology and the feasibilities of it’s applications in the intelligent coal mine broadcasting system, we design a bidirectional intelligent broadcasting system can be used in mine communication system. This paper, illustrates the basic structure of system, analyzes the real-time of CAN bus, proposes hybrid scheduling algorithms, and designs the gateway node program finally. The system of low cost, good openness, extension, installation, and maintenance are convenient, advanced functions, can meet the needs of the mine emergency communication.

Copyright
© 2015, 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 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
10.2991/kam-15.2015.37
ISSN
1951-6851
DOI
10.2991/kam-15.2015.37How to use a DOI?
Copyright
© 2015, 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  - Guo Xiucai
AU  - Lu Xiaomin
PY  - 2015/06
DA  - 2015/06
TI  - The Research and Application of Intelligent Broadcast System of Coal Mine
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 132
EP  - 135
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.37
DO  - 10.2991/kam-15.2015.37
ID  - Xiucai2015/06
ER  -