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基于大数据技术的地震科学数据集成共享研究

     

摘要

In the process of sharing seismic scientific data, there are many problems such as complicated data types, large amount of data, difficult linear storage expansion and bottleneck of retrieval performance. This paper starts with the core seismic data resources, and sorts out 7 kinds of scientific data, such as earthquake observation, exploration, experiment and experiment, and special topic. Using big data technology, it integrated a new set of earthquake scientific data sharing platform. The platform takes data sets as basic units and provides open, unified, convenient and one-stop data sharing services for industry users, such as seismological researchers, monitoring and forecasting personnel, and earthquake science enthusiasts.%针对目前地震科学数据共享过程中存在数据种类繁杂、数据量大而存储线性扩展困难、检索性能瓶颈等问题,从核心地震业务数据资源入手,梳理了地震观测、探测、实验与试验、专题等7大类科学数据;采用大数据技术,集成重构了一套全新地震科学数据共享平台.该平台以数据集为基本单位,为地震科研人员、监测预报人员、地震科学爱好者等全行业用户提供开放、统一、便捷、一站式数据共享服务.

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