地震监测系统AETA的数据处理设计与实现
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摘要
介绍了多分量地震监测系统AETA。该系统由地声传感探头、电磁传感探头和数据处理终端以及云服务器组成,是一种低成本、可密集布设的地震监测系统。数据处理要求用可以接受的传输带宽和存储空间,获得尽可能多的信息,用于地震监测预测分析。为此,数据处理终端将全频原始数据和低频原始数据进行时间片的抽样截取后直接发往云服务器,服务器对该数据基于不同的算法进行特征值提取,包括均值、振铃计数、峰值频率。原始数据和特征值均保存至数据库,供数据分析人员实时查询和分析,整个数据处理的算法均在Linux系统下利用C++编程语言实现。同时还介绍了数据处理终端完善的远程监控和维护机制。
We introduce a novel multi-component seismic monitor system,AETA,with low cost and dense arrangement,which consists of the acoustic sensing probe, electromagnetic sensor and data processing terminal and cloud servers.Data processing is required to obtain as much information as possible under acceptable transmission bandwidth and storage space for seismic monitoring and forecasting analysis.So data processing terminal sends full-frequency data and low-frequency data which sampled in accordance with time slice, to the cloud server directly.The server extracts the feature values of the data based on different algorithms, such as mean, ring count and peak frequency.Raw data and feature values are saved to the database and offered data analysts to do real-time query and analysis.The entire data processing algorithms are implemented in the Linux system using C++ programming language.At the same time we also introduce the long-distance monitoring and maintenance mechanism of data processing terminal perfection.
We introduce a novel multi-component seismic monitor system,AETA,with low cost and dense arrangement,which consists of the acoustic sensing probe, electromagnetic sensor and data processing terminal and cloud servers.Data processing is required to obtain as much information as possible under acceptable transmission bandwidth and storage space for seismic monitoring and forecasting analysis.So data processing terminal sends full-frequency data and low-frequency data which sampled in accordance with time slice, to the cloud server directly.The server extracts the feature values of the data based on different algorithms, such as mean, ring count and peak frequency.Raw data and feature values are saved to the database and offered data analysts to do real-time query and analysis.The entire data processing algorithms are implemented in the Linux system using C++ programming language.At the same time we also introduce the long-distance monitoring and maintenance mechanism of data processing terminal perfection.
引文
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[2]赵永红,王航,杨家英,等.地震预测方法II:评述[J].地球物理学进展,2014(2):630-637.
[3]潘震宇,卓群,刘仲达,等.水氡浓度和环境参数的分层神经网络研究[J].地震地磁观测与研究,2012,33(3):110-114.
[4]褚庆忠,武泽,邵先杰,等.地震重力异常形成机理及其在地震预报中的作用[J].地震工程学报,2014,36(1):201-206.
[5]SUZUKI M,SARUWATARI S,KURATA N,et al.A highdensity earthquake monitoring system using w ireless sensor netw orks[C]//Proceedings of the 5th international conference on embedded netw orked sensor systems.[s.l.]:ACM,2007:373-374.
[6]林科,王新安,张兴,等.一种适用于大地震临震预测的地声监测系统[J].华南地震,2013,33(4):54-62.
[7]曾敬武,雍珊珊,郑文先,等.适用于大地震临震预测的地声传感单元[J].计算机技术与发展,2015,25(12):133-137.
[8]范素娟,田军锋.基于Hadoop的云计算平台研究与实现[J].计算机技术与发展,2016,26(7):127-132.
[9]FLORIDO E,MARTNEZ-LVAREZ F,MORALES-ESTEBAN A,et al.Detecting precursory patterns to enhance earthquake prediction in Chile[J].Computers&Geosciences,2015,76:112-120.
[10]丁丹,倪四道,田晓峰,等.地震相关的声音现象研究进展[J].华南地震,2010,30(2):46-53.
[11]朱星.岩石破裂次声探测技术与信号特征研究[D].成都:成都理工大学,2014.
[12]钱书清,仁克新,吕智.伴随岩石破裂的VLF,MF,HF和VHF电磁辐射特性的实验研究[J].地震学报,1996,18(3):346-351.
[13]韩朝相,雍珊珊,郑文先,等.基于FPGA的大地震前兆传感信号采集模块[J].计算机技术与发展,2015,25(12):1-5.
[14]LAKSHMAN T V,MADHOW U.The performance of TCP/IP for netw orks w ith high bandw idth-delay products and random loss[J].IEEE/ACM Transactions on Netw orking,1997,5(3):336-350.
[15]LEE E A,MESSERSCHMITT D G.Static scheduling of synchronous data flow programs for digital signal processing[J].IEEE Transactions on Computers,1987,36(1):24-35.
[16]郑莉,董渊,傅仕星.C++语言程序设计[M].北京:清华大学出版社,1999.
[17]陈闳中.Linux在嵌入式操作系统中的应用[J].同济大学学报:自然科学版,2001,29(5):564-566.
[18]COCHRAN W T,COOLEY J W,FAVIN DL,et al.What is the fast Fourier transform?[J].Proceedings of the IEEE,1967,55(10):1664-1674.
[19]侯俊杰.深入浅出MFC:使用Visual C++5.0&MFC 4.2[M].武汉:华中科技大学出版社,2001.
[20]BROWN S J.Networked system for interactive communication and remote monitoring of individuals:U.S.,5 997 476[P].1999-12-07.
[21]赵卫绩,刘井莲.基于FTP协议的客户端自动更新程序的设计与实现[J].科学技术与工程,2010,10(34):8591-8593.
[22]姜文,刘立康.应用软件维护中的补丁开发与管理[J].计算机技术与发展,2015,25(11):11-16.
[23]万天翼.基于ITIL的运维管理系统的设计[J].数字技术与应用,2010(7):117-119.