Design and Implementation of a Trigger Digitizer for Earthquake Monitoring System | ||||
| Journal of Advanced Engineering Trends | ||||
| Volume 43, Issue 1, January 2024, Page 419-424 PDF (801.7 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jaet.2022.145073.1209 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Omar M. Saad Aly1; Emad Helal   2; Ali Hafez3; Gamal M. Dousoky 4
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| 1Researcher, National Research Institute Of Astronomy & Geophysics. | ||||
| 2Department of Seismology, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan 11421, Egypt | ||||
| 3National Research Institute Of Astronomy & Geophysics | ||||
| 4Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61517, Egypt | ||||
| Abstract | ||||
| One of the main devices in the earthquake monitoring system is the digitizer, which converts the analog signal to a digital one. We design and implement a trigger digitizer to store/transmit the seismic data. The implemented digitizer consists of several blocks, i.e., the power source, the front end circuit, analog to digital converter (ADC), GPS receiver, microcontrollers, microprocessor, and deep learning picking module. Besides, we use three finite impulse response (FIR) filters to decimate the sampling rate of the input seismic data. In addition, we utilize the CapsPhase network to pick the first arrival time of the earthquake. In this way, the digitizer is a trigger device, where an enable signal is released once the earthquake is detected to take the appropriate action. The CapsPhase is evaluated using the seismic data recorded by the Egyptian National Seismic Network (ENSN), NRIAG. The CapsPhase shows a robust picking performance compared to the benchmark methods. | ||||
| Keywords | ||||
| Earthquake Monitoring System; Digitizer; Deep Learning | ||||
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