DocumentCode :
2838263
Title :
The safety monitoring of coal mine drainage facilities based on BP neural network
Author :
Zhao, Shu-Fang ; Chen, Li-Chao
Author_Institution :
Inst. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Volume :
6
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Coal mine water inrush is a very difficult problems which should be solved more earlier, and it have long plagued safe production of coal mines. The reliable operation of coal mine drainage systems plays a vital role in safe production of coal mines. Based on the non linear relationship of the state parameters of the coal mine drainage facilities, we propose a safety monitoring method based on BP neural network in this paper. This method can get the results of monitoring quickly and accurately, and provide Scientific decision-making information for Coal Mine Safety management in order to avoid accidents. Through the validation of examples, the method is objective, validity and accuracy. It can provide a more scientific and reliable theoretical basis for the monitoring and warning of the coal mine drainage facilities.
Keywords :
backpropagation; coal; condition monitoring; decision making; mining; neural nets; production engineering computing; production facilities; safety; BP neural network; coal mine drainage facility system; coal mine safety management; coal mine water inrush; safety monitoring method; scientific decision-making information; Computer languages; Electron tubes; Monitoring; Security; BP neural network; drainage facilities; monitoring; safety warning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620665
Filename :
5620665
Link To Document :
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