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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
The Computer Bracket Pressure Monitor System of Fully Mechanized Coalface in Coal Mine Based on CAN Bus
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
Zhang Yong, Shan Dong University of Science and Technology, China; Tai Shan Medical College, China
Xiang-hong Yan, Shan Dong University of Science and Technology, China
Song Yang, Shan Dong University of Science and Technology, China
Zhu Hong-mei, Shan Dong University of Science and Technology, China; Shan Dong Agricultural University, China
In order to master the relation between the pressure of fully mechanized coalface bracket and the mine coalface moving principle, especially the first coming pressure of the surface of the coalmine influence to bracket, the computer pressure monitor system of fully mechanized coalface bracket in coal mine enterprise based on CAN Bus is developed. The system has dynamic data monitoring function. It could display the setting load of front leg, final resistant pressure and average working resistant pressure of the brackets. It could process data and plot chart in time. When the online pressure comes beyond the maximum value, the software has alarming ability and could create and print a report when it is necessary. It is also important for the managers to make correct decisions. The central host machines support a database. The database stores history curve of working period and all kinds of useful information. It will be advantageous for the safety of workers near the fully mechanized coalface.
Index Terms:
Can Bus, fully mechanized coalface, bracket, software design, microcomputer; monitoring system, hardware design
Citation:
Zhang Yong, Xiang-hong Yan, Song Yang, Zhu Hong-mei, "The Computer Bracket Pressure Monitor System of Fully Mechanized Coalface in Coal Mine Based on CAN Bus," snpd, vol. 2, pp.317-322, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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