Kyungpook National University Industry-academic Cooperation Foundation

Korea Meteorological Administration

National Disaster Management Research Institute

Young-woo Kwon

Euna Park

Keumho Oh

Eui-hong Hwang

Kihwan Lim

Jae-Kwang Ahn

Jangsoo Lee

Hyeong Gu Kang

Seon Hwa Choi

Myoung Jin Lee

Jae Seon Kim

Provided are a device, method, and computer-readable recording medium for detecting an earthquake in a microelectromechanical system (MEMS)-based auxiliary seismic observation network. The method includes performing detrending of removing a moving average from original acceleration data received from single sensors of an MEMS-based auxiliary seismic observation network to preprocess the acceleration data, calculating a short-term average/long-term average (STA/LTA) value using a filter parameter value specified on the basis of the preprocessed acceleration data, generating an event occurrence message or event end message on the basis of the calculated STA/LTA value and transmitting the event occurrence message or event end message, when the event occurrence message is generated, calculating an earthquake probability through an earthquake detection deep learning model using the preprocessed acceleration data as an input, and analyzing noise by calculating a power spectral density (PSD) from the original acceleration data which is merged at certain intervals.

Device, method and computer-readable recording medium for detecting earthquake in mems-based auxiliary seismic observation network

Provided is an earthquake response system using a seismic motion sensor. The seismic motion sensor of the earthquake response system includes: a sensor unit measuring a sensor value including peak ground acceleration (PGA) of the ground due to shaking; a seismic motion sensing unit sensing seismic motion on the basis of a seismic motion sensing result value calculated from an artificial neural network that uses the peak ground acceleration as input when the peak ground acceleration satisfies a seismic motion sensing condition; a seismic motion determiner determining generation of final seismic motion on the basis of a seismic motion determination parameter calculated from the sensor value on the basis of the seismic motion sensing result; a shaking grade calculator calculating a shaking grade of the determined final seismic motion through the peak ground acceleration; and a communication unit notifying the shaking grade of the final seismic motion.

Seismic motion sensor and earthquake response system using the same

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Daegu, South Korea

Young-woo Kwon