Ding Enjie Lyu Yajie Hu Dongping Chen Qing, . Study on microseismic monitoring rapid locating method based on Spark platform[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
Citation:
Ding Enjie Lyu Yajie Hu Dongping Chen Qing, . Study on microseismic monitoring rapid locating method based on Spark platform[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
Ding Enjie Lyu Yajie Hu Dongping Chen Qing, . Study on microseismic monitoring rapid locating method based on Spark platform[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
Citation:
Ding Enjie Lyu Yajie Hu Dongping Chen Qing, . Study on microseismic monitoring rapid locating method based on Spark platform[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (7).
School of lnformation and Electrical Engineering,China University of Mining &Technology loT Perception MineResearch Center,China University of Mining &Technology State-Province United Engineering Laboratory on Mine lnternet Application Technology,China University of Mining & Technology
According to a rea-time procssing dfficult problem ofthe massive seismic wave data of the microseismic monitoring and measurng thepaper proposed that the massive seisnic wave dala would be proc.essed on the Ssparnk big data pro.essing patorm.Based on the optimizatin stategy of the paricle swarm,an idea on the paral le alculation pogram of the seismic wave source TDOA posioning was provded and the test verification was conducted in environment of small spark cluster consisted with hree computers.The test proved the feastility of the massive seismic wave data processing on the Spark plaform.n comparson withthesingle computer seismic source position calculaton,the mnethod could effectively speed up the optimal olution convergence rate and could inprove the procssin eficcency