DocumentCode :
2834427
Title :
Algorithm of Predicting Dynamic Surface Subsidence and Deformation for Multi-Workface Mining
Author :
Hu, Qing Feng ; Cui, Xi Min ; Li, Chun Yi ; Wang, Jun Gang ; Li, Yu Fei ; Wang, Xiao Jun
Author_Institution :
Coll. of Geosci. & Surveying Eng., China Univ. of Min. & Technol., Beijing, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In order to predict the dynamic surface subsidence and deformation, a working face was divided into some mining elements along strike according to the face advancing, and the dynamic surface subsidence and deformation was regard as the superposition of the dynamic subsidence and deformation independently of all these mining elements. There might be a section of which width was shorter than a mining element when dividing a face using equal distance method was indicated, and the section should be calculated specially in the algorithm. A model of predicting dynamic surface subsidence and deformation was established based on the generalized time function and probability integral method. A method how to divide a face and the relations among different coordinates were presented. The algorithm steps of the dynamic prediction model for multi-face mining were designed. The algorithm was implemented by using C# programming language based on .NET 2005. The algorithm was tested by the measured subsidence values of 30 monitoring points located in observation east line of some mine 1176 east working face, the result showed that the prediction results agreed well with the observation data, and the feasibility and effectiveness of the algorithm were demonstrated.
Keywords :
C++ language; deformation; least mean squares methods; mining; probability; C# programming language; dynamic surface subsidence prediction algorithm; equal distance method; generalized time function method; multiface mining; multiworkface mining deformation; probability integral method; Algorithm design and analysis; Computer languages; Deformable models; Educational institutions; Electronic mail; Geoscience; Heuristic algorithms; Prediction algorithms; Predictive models; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5364334
Filename :
5364334
Link To Document :
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