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Development of Inductive Magnetic Sensor for Multi-component Seismic Monitoring System AETA
YONG Shanshan, WANG Xin’an, PANG Ruitao, JIN Xiuru, ZENG Jingwu, HAN Chaoxiang, XU Boxing
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (3): 495-501.   DOI: 10.13209/j.0479-8023.2017.170
Abstract958)   HTML8)    PDF(pc) (4527KB)(283)       Save

According to the multi-component seismic monitoring system’s technology requirements, an inductive magnetic sensor is presented and the design analysis and industrial implement are discussed. According to the requirements of electromagnetic disturbance monitoring, the authors define the design parameters and propose a well-considered plan on materials choosing and architecture designing. The covered frequency range is 0.1 Hz – 10 kHz, the temperature range is ?40 – 130°C, the monitoring range of magnetic field strength is 1 – 1000 nT, and the sensitivity requirement is larger than 20 mV/nT@(0.1 Hz – 10 kHz). The final test shows that the performance is achieved. This sensor is applied in multi-component seismic monitoring system which is being installed widely.

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Research and Implementation of Multi-component Seismic Monitoring System AETA
WANG Xin’an, YONG Shanshan, XU Boxing, LIANG Yiwen, BAI Zhiqiang, AN Huiyao, ZHANG Xing, HUANG Jipan, XIE Zheng, LIN Ke, HE Chunjiu, LI Qiuping
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (3): 487-494.   DOI: 10.13209/j.0479-8023.2017.171
Abstract1172)   HTML9)    PDF(pc) (2073KB)(264)       Save

The authors introduce the multi-component seismic monitoring system AETA (acoustic & electromagnetic testing all in one system). The results of experiments in Yunnan, Sichuan, Tibet, Hebei, Beijing and Guangdong prove that the system AETA has the proper sensitivity with low cost and is easy to be installed. Meanwhile, the raw data and feature data refined from raw data have a good indication of earthquake. More subsequent experiments will be organized in west of China, capital circle of China and Taiwan Strait for deep research on effect of prediction.

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