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Research Microseismic Monitoring Technology Of Gas Outburst

Posted on:2018-11-02Degree:MasterType:Thesis
Country:ChinaCandidate:N N SiFull Text:PDF
GTID:2321330518492020Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
With the increasing of exploitation depth,the phenomenon of gas outburst is happen,it is necessary to monitoring the gas outburst in order to guarantee the safety of the staff and improve the economic benefit of coal mines.Microseismic monitoring system is established to realize real.time online monitoring,sensors which arranged in mining lane,data acquisition by fiber optic transmission device upload microseismic signal to PC,getting the relevant parameters of microseismic signal through software analysis,identify through the difference between the microseismic,locating and taking measures to prevent the occurrence of disasters.The microseismic signal of blasting is the main disturbance signal to microseismic signal of mine and they are confusing on account of circumstance complication.Didding out statistical characteristics about energy,dominant frequency,duration,following peak attenuation coefficient,fitting precision,amplitude of IMF component,frequency of IMF component and singular value through the signal analysis methods such as FFT,empirical mode decomposition,singular decomposition,by virtue of more characteristics responsing level to the differences of microseismic signal,establishing a criterion to distinguish the differences.Using Quasi Newton’s Method and Simplex Method without measuring velocity to positioning for distinguished coal microseismic signal,which converts positioning problem to solving nonlinear equations,and can calculate the best source coordinates through iteration even if the data accuracy is not high;Quasi Newton’s Method using Taylor series expansion to approximately instead of solving equations model,under the condition of iterative error is minimum to approximating the optimal source coordinates through multiple iteration and constantly revised microseismic epicenter coordinates,Simplex Method without measuring velocity does not include the speed parameter in the process of iteration,which avoids the influence of velocity anisotropy to positioning accuracy.At the same time,the source coordinate of microseismic is optimized.Microseismic signals of blasting and coal can be accurately recognized through the differences,on the basis of that positioning the source localization,two proposed methods is effective,reliable and can be applied to the mine after verified,and improving the positioning accuracy and having good stability after optimizing source coordinates,relevant measures for gas outburst disaster area is adopting on the basis of that.
Keywords/Search Tags:microseismic monitoring technology, microseismic positioning, characteristics analysis, Empirical Mode Decomposition, anisotropy
PDF Full Text Request
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