【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。更多还原

【Abstract】 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.更多还原