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测震miniSEED格式数据在线实时展示方法研究和Java实现
引用本文:王晓磊,李刚,卞真付,刘磊,朱宏,孙铭萱.测震miniSEED格式数据在线实时展示方法研究和Java实现[J].震灾防御技术,2016,11(4):823-829.
作者姓名:王晓磊  李刚  卞真付  刘磊  朱宏  孙铭萱
作者单位:天津市地震局,天津300201,天津市地震局,天津300201,天津市地震局,天津300201,天津市地震局,天津300201,天津市地震局,天津300201,电子科技大学,成都611731
基金项目:地震科技星火项目“基于Hadoop的天津测震数据服务系统初步研究应用(XH14004)”资助
摘    要:本文介绍了一种基于Java语言的测震miniSEED格式数据的解压缩方法和数据实时展示程序。程序能够通过Java的socket接口接入测震流服务器,自动接收liss数据流并解压缩测震miniSEED格式数据。使用队列与缓冲池技术将解压缩的数据分流、过滤,并以ASCII码的数据形式进行存储,最终通过web对数据进行实时发布,以提供测震波形数据实时在线服务。

关 键 词:测震  程序  实时波形  解压缩  大数据  Hadoop
收稿时间:2015/12/9 0:00:00

Method of Seismic Data in MiniSEED Format and Java Implementation of Online Real Time Display
Wang Xiaolei,Li Gang,Bian Zhenfu,Liu Lei,Zhu Hong and Sun Mingxuan.Method of Seismic Data in MiniSEED Format and Java Implementation of Online Real Time Display[J].Technology for Earthquake Disaster Prevention,2016,11(4):823-829.
Authors:Wang Xiaolei  Li Gang  Bian Zhenfu  Liu Lei  Zhu Hong and Sun Mingxuan
Institution:Earthquake administration of Tianjin Municipality, Tianjin 300201, China,Earthquake administration of Tianjin Municipality, Tianjin 300201, China,Earthquake administration of Tianjin Municipality, Tianjin 300201, China,Earthquake administration of Tianjin Municipality, Tianjin 300201, China,Earthquake administration of Tianjin Municipality, Tianjin 300201, China and University of Electronic Science and Technology of China,Chengdu 611731, China
Abstract:This paper introduces a method of data compression based on Java language, and a program which could shows the data on Web. The program can access the socket java interface to measure the earthquake flow server, automatically receiving LISS data stream and extract the data from the miniSEED format. The data is separated and filtered by using a queue and buffer pool to extract the station and channel field in the miniSEED header block in the form of ASCII code form.It makes astep forward in the real-time earthquake waveform. That could be a foundation of analyzing and service of the seismic data.
Keywords:Seismic  Software  Realtime-wave  Decompression  Bigdata  Hadoop
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