Wireless Earthquakes Feature Monitoring Based on Acceleration and Magnetic Measurements Using MEMS Sensor

Abstract

Indonesia is one of country in the Ring of Fire area. Earthquakes becoming one of the greatest dangers that threaten people's lives. So it takes the instrument that can record natural anomaly data before the earthquake to be learned. Several previous studies have successfully done, but it requires a high cost. In this work, a natural anomaly before an earthquake is detected by the method of seismic waves and magnetic measurements using a 6-DoF MEMS (micro electromechanical systems) sensors. Seismic wave measured with an accelerometer sensor, and geomagnetic-ULF waves measured by the magnetometer sensor. Measurement data is transmitted using a wireless sensor network based on IEEE 802.15.4 ZigBee protocol, which is controlled by an 8-bit microcontroller device. All data were collected on a PC master observations in the form of a graph using the graphical user interface (GUI). The visual appearance of the seismic and magnetic signal help researcher to study the natural characteristics that could relate to the incidence of subsequent earthquakes.