A new type of tri-axial accelerometers with high dynamic range MEMS for earthquake early warning. (March 2017)
- Record Type:
- Journal Article
- Title:
- A new type of tri-axial accelerometers with high dynamic range MEMS for earthquake early warning. (March 2017)
- Main Title:
- A new type of tri-axial accelerometers with high dynamic range MEMS for earthquake early warning
- Authors:
- Peng, Chaoyong
Chen, Yang
Chen, Quansheng
Yang, Jiansi
Wang, Hongti
Zhu, Xiaoyi
Xu, Zhiqiang
Zheng, Yu - Abstract:
- Abstract: Earthquake Early Warning System (EEWS) has shown its efficiency 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 a custom-tailored Linux 2.6.27 operating system and the method for automatic detecting seismic events is STA/LTA algorithms. When a seismic event is detected, peak ground parameters of all data components will be calculated at an interval of 1 s, and τc -Pd 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/s 2 . Several tests and a real field test deployment 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, andAbstract: Earthquake Early Warning System (EEWS) has shown its efficiency 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 a custom-tailored Linux 2.6.27 operating system and the method for automatic detecting seismic events is STA/LTA algorithms. When a seismic event is detected, peak ground parameters of all data components will be calculated at an interval of 1 s, and τc -Pd 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/s 2 . Several tests and a real field test deployment 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/°C. In addition, the results of event detection and real field deployment have shown its capabilities for EEWS and rapid intensity reporting. Highlights: A new type of tri-axial accelerometers with high dynamic range MEMS for EEWS. The device is a MEMS-integrated data logger with built-in seismological processing. Peak ground parameters calculated at an interval of 1 s after an event occurrence. Its dynamic range can reach 99 dB and temperature coefficients are <200 μg/°C. Test results demonstrated its capabilities for EEWS and rapid intensity reporting. … (more)
- Is Part Of:
- Computers & geosciences. Volume 100(2017)
- Journal:
- Computers & geosciences
- Issue:
- Volume 100(2017)
- Issue Display:
- Volume 100, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 100
- Issue:
- 2017
- Issue Sort Value:
- 2017-0100-2017-0000
- Page Start:
- 179
- Page End:
- 187
- Publication Date:
- 2017-03
- Subjects:
- Earthquake early warning -- MEMS-based accelerometer -- High dynamic range -- STA-LTA event detection -- Low-latency data packet
Environmental policy -- Periodicals
550.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00983004 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cageo.2017.01.001 ↗
- Languages:
- English
- ISSNs:
- 0098-3004
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.695000
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