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Based on CMS measured the goaf risk analysis and treatment

Author: YangBiao
Tutor: LuoZhouQuan
School: Central South University
Course: Underground space resources in science and engineering
Keywords: Goaf CMS Risk Numerical Simulation Neural Network
CLC: TD325.4
Type: Master's thesis
Year: 2008
Downloads: 274
Quote: 7
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Abstract


Mined-out area is one of the most important disaster source of underground resources, safety mining face . This paper uses field experiments , numerical simulation , artificial neural network method , empty sophisticated detection system ( CMS ) and Surpac the Flac 3D < / sup > , the Phase 2 < / sup > , Matlab and other digital software tools, in close connection with the copper pit mine mining area empty area to form a three-dimensional precision detection and digital-to-analog monitoring technology research projects , the actual copper pit mine engineering , to carry out based on CMS precision detection goaf risk analysis the main contents are as follows : 1. 3D laser detection system with advanced air area by means of the integrated use of QVOL, Surpac software tools to complete the on-site precision detection of the mined-out area and the establishment of the three-dimensional model , accurately grasp the mined-out area three-dimensional shape , spatial location , the actual border , roof area and the size of information to achieve the goaf information accurately and efficiently obtain ; numerical analysis software Flac 3D and Phase 2 , displacement , stress, plastic deformation empty the risk degree of quantitative analysis , and on this basis , considering the gobs of three-dimensional shape , spatial distribution , and size and other factors on the mined-out area risk classification ; 3 . to goaf measured information -based , considering the empty area around the mine rock physical and mechanical properties , the use of artificial neural networks , to establish the goaf risk identification BP neural network model , to achieve the mine empty risk identification ; 4 on the basis of these studies , considering the relationship between the empty area surrounding environment , the three-dimensional shape , spatial location and the surrounding works and other factors , the study on copper pit gob reasonable processing technology solutions. Study metal underground mine goaf object to the formation of metal mine goaf precision detection , risk analysis and effective governance of integrated technology as the goal , to accurately obtain the empty area on the basis of reliable risk analysis effective prevention of disasters triggered by the goaf , provide technical guidance and support for the safe production , prevention and control of the mine , the occurrence of major accidents play a key role , has important theoretical and practical significance .

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CLC: > Industrial Technology > Mining Engineering > Mine the pressure and support > Rock pressure and rock movement > Rock movement > Rock and ground movement monitoring and control
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