地震前兆数据异常自动检测报警系统
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
通过对地震前兆数据的分析与研究,研制了一套地震前兆数据异常自动检测与报警系统。该系统可实现测项分量与检测方法的自由定制,通过利用相关分析、差分检测、固体潮相关检测、方差检测、台阶检测与金日光第四统计力学群子统计理论等多种检测方法,实现了对数据的自动异常检测与报警。试验证明,该系统有效可行,可为地震数据监测人员与地震预报人员提供一定的参考。
We have developed a auto earthquake precursor data outlier detection and warning system through research on earthquake precursor data features.The system can complete the data outlier detection and warning task automatically.The user can customized select the detecting objects and detection algorithm,the system realized the auto outlier detection and warning of earthquake precursor data through the use of the correlation analysis,the time domain differential detection,the earth tide correlation analysis,the standard variance detection,the data step detection and the Fourth Statistics-JRG Sub-cluster Statistics Theory and so on. The experiment proves that the system work effectively,and it can provide some reference for the earthquake prediction persons.
引文
金日光.地震前兆识别与地震灾害预警[M].北京:中国地质大学出版社,2009.
    金日光.第四统计力学--JRG群子统计理论[M].韩国:宣文梅地亚(株)出版,1998.
    刘冰冰,蔡宏雷,郑国栋,宣立成,张宇.体应变日常观测资料浅析[J].东北地震研究,2009,25(3) .
    王静波,郭永霞.平凉地震台前兆异常对比分析[J].地震地磁观测与研究,2009,30(6) :76-81.
    王秀英,周振安,刘爱春.“十五”地震前兆观测设备网络通讯规程应用探讨[J].大地测量与地球动力学,2008,28(4) ,

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心