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强震动观测无人值守信息管理自动化

Self-service automatic information system on strong-motion observation

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【作者】 李彩华郭迅周正华

【Author】 LI Cai-hua~(1,2),GUO Xun~1,ZHOU Zheng-hua~1 (1.Institute of Engineering Mechanics,China Seismological Bureau,Harbin 150080,China;2.Harbin BeiAo Vibration Technology Co.Ltd.,Harbin 150080,China)

【机构】 中国地震局工程力学研究所中国地震局工程力学研究所 哈尔滨150080哈尔滨北奥振动技术开发有限责任公司哈尔滨150080哈尔滨150080

【摘要】 随着中国“数字地震观测网络”项目的启动,中国强震动观测网络将新增大量先进的数字化、网络地震动记录仪,该类型仪器具备大存储容量、自动震动触发、自动报警,本地串口通讯、远程Modem通讯、远程TCP/IP网络通讯等功能,这些先进功能为强震动数据记录、存储、强震动记录以及相关地震信息自动传输创建了硬件基础.新增的大量强震动观测设备,使得强震台网的密度进一步加大,因此可利用的强震动观测数据大大增加,但目前中国的强震观测网络无法及时的收集、分析、处理这些海量数据.而随着国家级、区域级台网中心的进一步扩建、新建,监控中心网络硬件设备、软件齐全,通讯网络大大加强,也使得大数据分析、处理、传输成为可能,在此基础上建立强震动观测无人值守信息管理自动化成为一种可能.并且随着该自动化系统的运行,积累的强震观测记录也可建立强震观测数据仓库,并在数据仓库的基础进一步建立强震分析数据挖掘方法.

【Abstract】 With the development of Digital Earthquake Observational Network,more and more powerful digital and network strong-motion seismograph will be used in strong-motion monitoring network of China.The strong-motion seismograph was designed with huge amount of memory,automatic trigger,automatic alarm,localization serial port,remote modem communication and remote TCP/IP network communication.So it can support storeing and transporting many strong-motion records with local and remote control.And the added huge amount of strong-motion seismograph will enlarge the intensity of strong-motion monitoring network.So it can produce much more strong-motion data in short time.But now we do not have the ability of collecting,analysis and dispose the data.As the setup of national and territorial strong-motion monitoring center,the hardware,software and communication network of monitoring center will be more powerful.Then we can analyze,dispose and transport huge amount of data.This makes it possible to build self-service strong-motion observation information automatic system on the base of strong-motion monitoring network.With the automatic system development,we can build data storehouse using the accumulating strong-motion records.And by doing further work,data mining methods can be set up for analyze these strong-motion records.

  • 【文献出处】 地球物理学进展 ,Progress In Geophysics , 编辑部邮箱 ,2005年03期
  • 【分类号】P315.7;
  • 【被引频次】2
  • 【下载频次】80
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