A New Type of Tri-Axial Accelerometers With High Dynamic Range Mems Using for Earthquake Early Warning

Abstract eng:
Earthquake Early Warning System (EEWS) has been proved to be one of the effective ways for earthquake damage mitigation. As the progress of low-cost Micro Electro Mechanical System (MEMS), many types of MEMS-based accelerometers have been developed and widely used in deploying large-scale, dense seismic networks for EEWS. However, the noise performance of these commercially available MEMS is still insufficient for weak seismic signals, leading to the large scatter of early-warning parameters estimation. In this study, we developed a new type of tri-axial accelerometer based on high dynamic range MEMS with low noise level using for EEWS. It is a MEMS-integrated data logger with built-in seismological processing. The device is built on Linux 2.6.27 operating system and STA/LTA algorithm is used to automatically detect seismic events. When a seismic event is detected, peak ground parameters of all data components will be calculated at an interval of 1 s, and τ c -P d values will be evaluated using the initial 3 s of P wave. These values will then be organized as a trigger packet actively sent to the processing center for event combining detection. The output data of all three components are calibrated to sensitivity 500 counts/cm/s2. Several tests were performed to obtain the performances of this device. The results show that the dynamic range can reach 98 dB for the vertical component and 99 dB for the horizontal components, and majority of bias temperature coefficients are lower than 200 μg/ºC. In addition, the results of STA/LTA event detection have shown its capabilities for EEWS and rapid intensity reporting.

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