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地磁秒采样数据智能分析系统软件
引用本文:郅红魁,赵彦旭,谢佳兴,侯博文,刘庆华,宋建锁.地磁秒采样数据智能分析系统软件[J].地震地磁观测与研究,2021,42(3):284-290.
作者姓名:郅红魁  赵彦旭  谢佳兴  侯博文  刘庆华  宋建锁
作者单位:中国河南471023 洛阳地震台
基金项目:中国地震局监测、预报、科研三结合课题(项目编号:3JH-202002019)
摘    要:地磁秒采样仪器观测过程中,易受各种环境干扰造成数据异常,如磁暴、高压直流输电、人为干扰、仪器故障等,不易被发现并识别,若不能及时处理,将会造成观测数据质量下降。若诸多干扰与磁扰叠加,将更不易识别,导致数据的错误处理。为了提高观测质量,利用现有编程技术,开发地磁秒采样数据智能分析系统软件,实现对地磁观测仪器工作状态、各种干扰、磁暴等现象的实时监控和分析,及时发现异常并报警,同时利用多台数据对比智能分析软件,对复杂干扰和高压直流输电干扰进行自动识别,并数据曲线中标示干扰位置,提高数据资料处理的准确性和有效性。

关 键 词:地磁  秒采样数据  干扰  智能识别

Intelligent analysis software for geomagnetic second sampling data
ZHI Hongkui,ZHAO Yanxu,XE Jiaxing,HOU Bowen,LIU Qinghua,SONG Jiansuo.Intelligent analysis software for geomagnetic second sampling data[J].Seismological and Geomagnetic Observation and Research,2021,42(3):284-290.
Authors:ZHI Hongkui  ZHAO Yanxu  XE Jiaxing  HOU Bowen  LIU Qinghua  SONG Jiansuo
Institution:Luoyang Seismic Station, Henan Province 471023, China
Abstract:The geomagnetic second sampling observation is easily susceptible to environmental interference, including magnetic storms, high-voltage direct current transmission, human interference, instrument failures, and so on, which are not easy to be discovered, resulting in low-quality data. If many interferences and magnetic disturbances are superimposed, it will be more difficult to identify, leading to incorrect data processing. In order to improve the quality of observations, an intelligent analysis system software for geomagnetic second sampling data has been developed, which can analyze and monitor the working status of the instrument and various interference and magnetic storms in observations; and trigger alarms when in time find abnormal observations. At the same time, multiple data comparison intelligent analysis software is used to automatically identify complex interferences and high-voltage DC interferences and mark the location of the interference data to improve the accuracy and effectiveness of data processing.
Keywords:geomagnetic  geomagnetic second sampling observation  interference  intelligent recognition
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