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。
According to a real-time processing difficult problem of the massive seismic wave data of the microseismic monitoring and meas- uring, the paper proposed that the massive seismic wave data would be processed on the Spark big data processing platform. Based on the optimization strategy of the particle swarm, an idea on the parallel calculation program of the seismic wave source TDOA positioning was provided and the test verification was conducted in environment of small Spark cluster consisted with three computers.The test proved the feasibility of the massive seismic wave data processing on the Spark platform.In comparison with the single computer seismic source posi- tion calculation, the method could effectively speed up the optimal solution convergence rate and could improve the processing efficiency.
出处
《煤炭科学技术》
CAS
北大核心
2016年第7期22-27,共6页
Coal Science and Technology
基金
"十二五"国家科技支撑计划资助项目(2012BAH12B01
2012BAH12B02)
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
microseismic monitoring and measuring
internet ＋
Spark big data processing platform
TDOA positioning
parallel particle swarm algorithm
