DocumentCode :
1588287
Title :
The development of a coal mine intelligent safety monitoring management system based on fuzzy inference system
Author :
Dongdong, Song ; Hongju, Lin ; Haifang, Wang ; Weina, Lu
Author_Institution :
Department of Postgraduate Hebei Normal University of Science and Technology, QinHuang dao, Hebei, China
fYear :
2012
Firstpage :
1
Lastpage :
5
Abstract :
In view of current safety product and administrate situation of coal industry, so it is indispensable to develop coal mine intelligent safety monitoring system, and it also should be high intelligentizing and reliability. This system is under Windows 2000, using the skills of program mixing C# and MATLAB, establish a fuzzy inference system on MATLAB software platform, and make fuzzy inference and forecast to the gas in the mine environment. Also using the ANFIS module of MATLAB to train the FIS structure, to get further structure optimizing, combining the expert experience to analyze the reason of accident on line; at meantime, we can also build dynamic system model on Simulink platform through VRML method to reappear the situation of the coal mine so as to process the real-time monitoring. In running structure, the intelligent monitoring system consists of five modules: the real-time monitoring and displaying, query, deletion and maintenance of history data, graphic statistic, report printing, expert diagnosis and decision-making support module. This system research, development and promoted application will provide the safeguard regarding the mine pit security work.
Keywords :
Adaptive Neuro-Fuzzy Inference System; C sharp; Coal mine Monitoring Management System; Fuzzy Inference System; Simulink simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
ISSN :
2154-4824
Print_ISBN :
978-1-4673-4497-5
Type :
conf
Filename :
6321603
Link To Document :
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