DocumentCode :
536940
Title :
The Research of Expert System of Water Bursting Prediction in Mines and Application
Author :
Liu Bao-min ; Wang Sheng-li
Author_Institution :
Coll. of Geosci. & Surveying Eng., China Univ. of Min. & Technol., Beijing, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
5
Abstract :
The prediction of water bursting in mines is complicated both in theories and technical practice, which takes many factors into consideration, such as hydrogeololgy, engineering geology, mining conditions, as well as rock mechanics and so on. Against this, the expert system of water bursting in mines combines expertise as well as theoretical achievement in water bursting in mines with artificial intelligence technology to put forward the inference strategy of weighing analogy by adopting the method of water in-rushing coefficient and elevation axes tendency analysis, which is initially functional in prediction of water bursting. By building the modules of data acquisition, database system, general GIS, water bursting prediction, and identification of water source, the system not only can make predication and evaluation for water bursting point position, source of water bursting and the types of water bursting , in addition, but also plays a functional role of consultation. The expert system has certain practical value for preventing coal mine water accidents.
Keywords :
coal; data acquisition; expert systems; geographic information systems; mining industry; artificial intelligence technology; coal mine water accident prevention; data acquisition; database system; elevation axes tendency analysis; engineering geology; expert system; geographic information systems; hydrogeololgy; mines; mining conditions; rock mechanics; water bursting prediction; water in-rushing coefficient; Expert systems; Fuel processing industries; Geographic Information Systems; Geology; Predictive models; Surges; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5660782
Filename :
5660782
Link To Document :
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