基于Spark平台的微震监测快速定位方法研究

Title

Study on microseismic monitoring rapid locating method based on Spark platform
作者

丁恩杰吕雅洁胡东平陈卿
Author

Ding Enjie Lyu Yajie Hu Dongping Chen Qing
单位

中国矿业大学信息与电气工程学院中国矿业大学物联网（感知矿山）研究中心矿山互联网应用技术国家地方联合工程实验室
Organization

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
摘要

针对微震监测海量震动波数据实时处理难题,提出了在Spark大数据处理平台上对大量震动数据进行处理,提出基于粒子群寻优策略的震动波震源TDOA定位的并行计算程序思路,并在3台机器组成的小型Spark集群环境下进行试验验证。试验证明了在Spark平台上做海量震动波数据处理的可行性,并且证明了与单机震源定位计算相比,此方法可以有效加快最优解的收敛速度,提高处理效率。
Abstract

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
关键词

微震监测互联网+Spark大数据处理平台 TDOA定位并行粒子群算法
KeyWords

microseismic monitoring and measuring; internet +;Spark big data procssing platfom; TDOA positoning; parallel particle swarm afgorthm;
基金项目(Foundation)

“十二五”国家科技支撑计划资助项目(2012BAH12B01；2012BAH12B02)；
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