Earthquake Datalogger Using Vibration and Local ULF Geomagnetic Field Measurement

Novianta, M. Andang and Setyaningsih, Emy and Rakhman, Arie Noor and Achmad, M.S. Hendriyawan (2013) Earthquake Datalogger Using Vibration and Local ULF Geomagnetic Field Measurement. In: Engineering International Conference 2013 Proceeding. Universitas Negeri Semarang, Semarang, pp. 110-114. ISBN 97925-2784

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Abstract

Earthquake researchers need an instrument that can accurately measure and record the characteristics of the earthquake in a long time, and commonly the instrument known as a data logger. All data is stored in the data logger is data based on the time of events (time stamp). A data logger must have a timer device that provides accurate timing information. Data Logger based 8-bit AVR microcontroller perform seismic and geomagnetic data acquisition in 3-axis (x, y, z). Recording seismic waves and ULF geomagnetic are very useful for studying the anomalous character just before large earthquake (M>5.5). The seismic data is read with a sampling rate of 20 Hz and the ULF geomagnetic data is read with a sampling rate of 1 Hz. Data Logger must be able to measure and record in long time, moreover energy source is a battery with a limited capacity. In this experiment, data logger run in discrete mode with sampling interval = 50 mSec, t wake up = 0.5 mSec, t sleep = 49.5 mSec, and use a 5000 mAH battery, have obtained lifetime estimation for 165 days at the temperature of 25ºC<T<30ºC. Efforts to stabilize the temperature close to room temperature greatly affect extend battery lifetime.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QE Geology
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Fakultas Sains Terapan > Rekayasa Sistem Komputer (S1)
Fakultas Teknologi Industri > Teknik Elektro (S1)
Fakultas Teknologi Mineral > Teknik Geologi (S1)
Depositing User: Arie Noor Rakhman
Date Deposited: 24 Jan 2022 01:34
Last Modified: 24 Jan 2022 01:34
URI: http://eprints.akprind.ac.id/id/eprint/579

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