Automatic Monitoring of Real-time Waveform Data Quality of Seismic Network
HUANG Lingzhu
LIN Binhua
WANG Shicheng
Abstract：The quality of real-time waveform data of seismic network directly affects the reliability and accuracy of earthquake early warning and rapid intensity system.The goal of this paper is to ensure that the anomaly of the seismic network stations can be detected in time. The paper uses the high and low noise reference line as an anomaly judgment standard to develop the automatic monitoring system of Fujian seismic network, which can provide a great convenience for the staff to quickly find station anomalies. At present, the system has been tested and run on the network center of Fujian province. The statistics result of the network real-time monitoring in September 2015 shows that the correct rate of automatic detection in 85 stations' abnormal reached 95.5%, can meet the vast majority demand of the current network operation and maintenance, the system automatically output results can be provided to earthquake early warning and rapid intensity system.
Keywords：Seismic networkWaveform qualityAutomatic monitoring
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 20-25 )