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A Literature Review Leveraging Low-Cost MEMS Accelerometers and Raspberry Shake Sensors for Structural Health Monitoring and Seismic Applications Yobel Eliezer Mahardika; Adhe Abdurrafi
Journal of Computation Physics and Earth Science (JoCPES) Vol 4 No 1 (2024): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v4i1.01

Abstract

A viable approach for real-time seismic and structural health monitoring (SHM) applications is the combination of inexpensive MEMS accelerometers with Raspberry Shake sensors. Building on recent developments in electrochemical seismometry and MEMS-based sensor technology, this study assesses the viability of employing these reasonably priced sensors to record seismic waves and structural vibrations, which are essential for determining the integrity of infrastructure and identifying early indicators of structural fatigue. While research on seismic applications emphasizes the requirement for easily accessible, large-scale deployment choices, literature on MEMS applications emphasizes improvements in sensitivity, frequency range, and cost-efficiency. In this investigation, a network of MEMS accelerometers and Raspberry Shake devices is deployed in different structural situations. Custom algorithms are used for data collection and processing. Results indicate that these MEMS-based systems offer adequate accuracy in frequency and amplitude response compared to traditional high-end seismic sensors, demonstrating significant potential in cost-sensitive environments. By leveraging these compact, economical sensors, this approach enables scalable and accessible monitoring solutions, supporting resilient infrastructure management and enhanced seismic hazard assessment.
A Literature Review of Low-Cost Accelerometer Sensors for Earthquake Detection: Performance Analysis and Accuracy Assessment Muhammad Rafi Athallah Disastra; Adhe Abdurrafi
Journal of Computation Physics and Earth Science (JoCPES) Vol 4 No 2 (2024): Journal of Computation Physics and Earth Science
Publisher : Yayasan Kita Menulis - JoCPES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63581/JoCPES.v4i2.04

Abstract

This literature review synthesizes findings from 20 studies that explore earthquake detection systems using low-cost accelerometer-based sensors integrated with microcontrollers, such as Arduino, and other IoT technologies. The comparative analysis focuses on sensor selection, sensitivity, noise levels, and system efficacy across various implementations. The ADXL355, LIS3DHH, MPU6050, and ADXL345 accelerometers emerged as commonly tested sensors, each demonstrating unique strengths in seismic activity monitoring. Studies highlight the ADXL355 and LIS3DHH for their low noise and high sensitivity, making them preferred for detecting subtle ground movements, while the MPU6050’s six-axis functionality offers versatility in multi-dimensional motion analysis. Additionally, research underscores the importance of accurate calibration and noise mitigation techniques to enhance data reliability. The review concludes that low-cost accelerometers, particularly when combined with IoT frameworks, provide feasible solutions for scalable earthquake early warning systems. However, challenges persist in balancing sensitivity and stability in noisy environments, indicating a need for further refinement in sensor technology and signal processing algorithms to improve detection accuracy and reduce false alarms in real-world applications.