时序数据库在海量地震波形数据分布式存储与处理中的应用初探

Preliminary Application of Time Series Database in Distributed Storage and Processing of Massive Seismic Waveform Data

摘要:

通过分析时序数据库的技术特点和海量地震数据存储和处理的需求,设计和实现了基于时序数据库的地震波形数据存储和处理系统。经过开发、测试和应用比较,新的地震时序数据库系统具有高可用、实时存储吞吐量大、历史数据压缩率高、分布式处理速度快等优势,能够较好地解决地震波形数据体量激增带来的存储和处理困难问题。

Abstract:

By analyzing the technical characteristics of time series database and the storage and processing requirements of massive seismic data,in this paper a seismic waveform data storage and processing system based on time series database is designed and implemented. After developing,testing and application comparing,we found that the new seismic time series database system has the advantages of high availability,large real-time storage throughput,high historical data compression rate,and fast distributed processing speed,which can efficiently solve the storage and processing difficulties caused by rapid growth of seismic waveform data.