地震监测数据的Hadoop存储解决方案-华南地震

文章信息/Info

Author(s):: ZHAO Hui; (Inner Mongolia Autonomous Regon Earthquake Agency,Huhhot 010000,China)

摘要:: 根据地震监测数据日常存储实际情况 , 结合目前主流的 Hadoop 技术 , 提出地震监测数据的大数据存储方案 , 以解决数据存储设备选购常见问题 , 并对数据存储环境进行详细配置。以内蒙古自治区地震局测震数据为样本 , 在虚拟机上搭建伪分布集群方式 , 对数据进行上传及下载操作 , 以验证该方案的可行性。结果表明：使用 Hadoop 技术进行地震监测数据存储可靠性更高 , 且在对历史地震监测数据进行处理时 , 分析统计手段更多 , 数据读取速度更快。

Abstract:: According to the actual situation of daily storage of seismic monitoring data and the current mainstream Hadoop technology,this paper proposes a big data storage solution for seismic monitoring to solve the common problems of selecting and purchasing data storage equipment,as well as configuring the data storage environment in detail. Taking the seismic data of Inner Mongolia Earthquake Agency as a sample,the paper builds a pseudo distributed cluster on the virtual machine,uploads and downloads the data to verify the feasibility of the scheme. The result shows that the Hadoop technology is more reliable for seismic monitoring data storage,and when processing historical seismic monitoring data,there are more analysis and statistics methods with more faster data reading speed.