Design and Simulation of MEMS Accelerometer for the Application of Seismic vibrations

Abstract

Aim: Using accelerometer to detect the vibrations produced during earthquake. Backgorund: The big challenge facing the Earthquake Early Warning Systems (EEWS) is to accurately detect seismic tremors at the edge of the early warning system or outside of the earthquake seismic system.[1]. During the last years in development, early warning earthquake (EEW) has proved to be one of the potential means of disaster reduction. Objectives: During the last years in development, early warning earthquake (EEW) has proved to be one of the potential means of disaster reduction. The EEW network intensity usually determines the efficiency of both the EEW system An upgraded low-cost Micro Electro Mechanical System MEMS based device called GL-P2B to reduce sensor costs and establish a dense EEW In the this study, a dense EEW network was also developed to maximize the density of the seismic network for EEW applications. A tri-axial sensor with high-dynamic MEMS called GL-P2B was developed. This sensor was upgraded from the previous version by enhancing the CPU's processing capability and correcting certain errors found during the initial test cycle. Methodology: An autonomous sensor with an acceleration sensor is launched in this article First; we systematically evaluated a series of acceleration sensors to select the most suitable acceleration sensor using mems by analyzing their quality and accuracy, and then created a dedicated tool that can monitor earthquakes. Our result shows that an earthquake can be detected with a low-cost acceleration detector, thereby enhancing the safety of vulnerable groups against earthquakes. Results: There have been two earthquakes recently: Gyeongju Earthquake in magnitude 5.6 and Pohang South Korea Earthquake in magnitude 5.4 respectively in 206 and 2017. As a result, earthquake detection and response in a relatively short period of time was highly demanded. The use of seismic smart phone systems is one solution, but it is expensive to use a smartphone to track seismic events and to allow participants to use their smartphones as just another seismic detector. However, because of the existence of smartphones which are used extensively in our everyday lives, a large percentage of smartphones are useless for earthquakes to be detected. We also built a clever tool in this paper that can be mounted to a wall or to a ceiling. The system is only fitted with sensors that include an accelerator and the price in comparison to intelligent telephones is very small. Conclusion: In this paper, we have used an appropriate capacitive sensing technology to create the accelerometer. We have designed and simulated the accelerometer to measure the seismic vibrations by FEM Tool. The simulated results show that the unit is modelled on a 3Hz resonant frequency and therefore it senses the acceleration between 2 and 8 Hz.