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丁恩杰, 吕雅洁, 胡东平, 陈卿. 基于Spark平台的微震监测快速定位方法研究[J]. 煤炭科学技术, 2016, (7).
引用本文: 丁恩杰, 吕雅洁, 胡东平, 陈卿. 基于Spark平台的微震监测快速定位方法研究[J]. 煤炭科学技术, 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).

基于Spark平台的微震监测快速定位方法研究

Study on microseismic monitoring rapid locating method based on Spark platform

  • 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

     

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