Novianta, Muhammad 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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13-1_ULF-Nov-EIC2013-Unnes Semarang.pdf - Accepted Version Download (4MB) |
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 |
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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: | 08 Mar 2023 07:36 |
URI: | http://eprints.akprind.ac.id/id/eprint/579 |
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