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BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification

The Internet of Things (IoT) has been implemented to provide solutions for certain event detection because of ease of installation, computing and communication capability, and cost-effectiveness. Seismic event detection, however, is still a challenge due to a lack of high-fidelity sensing and classi...

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Detalles Bibliográficos
Autores principales: Won, Jongbin, Park, Junyoung, Park, Jong-Woong, Kim, In-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294427/
https://www.ncbi.nlm.nih.gov/pubmed/32456219
http://dx.doi.org/10.3390/s20102963
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author Won, Jongbin
Park, Junyoung
Park, Jong-Woong
Kim, In-Ho
author_facet Won, Jongbin
Park, Junyoung
Park, Jong-Woong
Kim, In-Ho
author_sort Won, Jongbin
collection PubMed
description The Internet of Things (IoT) has been implemented to provide solutions for certain event detection because of ease of installation, computing and communication capability, and cost-effectiveness. Seismic event detection, however, is still a challenge due to a lack of high-fidelity sensing and classification efficiency. This study proposes BLESeis, an IoT sensor for smart earthquake detection. BLESeis comprises three main parts: (1) high-fidelity vibration sensing using a MEMS accelerometer and digital filtering; (2) an embedded earthquake detection algorithm; (3) BLE (Bluetooth low energy) beacon for earthquake notification. For high-fidelity vibration sensing, a triggering algorithm and embedded finite impulse response (FIR) low-pass filter are developed. The acquired vibration is then classified by the earthquake detection algorithm developed to identify the earthquake signal from other vibration sources using time and frequency domain analysis. Upon detection of an earthquake, the BLE beacon broadcasts using the proposed data packet for efficient notification and visualization. The performance of the proposed system is evaluated through numerical simulations and a set of experiments using shaking table tests. The experiments show the feasibility of the low-cost earthquake detection and notification system.
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spelling pubmed-72944272020-08-13 BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification Won, Jongbin Park, Junyoung Park, Jong-Woong Kim, In-Ho Sensors (Basel) Article The Internet of Things (IoT) has been implemented to provide solutions for certain event detection because of ease of installation, computing and communication capability, and cost-effectiveness. Seismic event detection, however, is still a challenge due to a lack of high-fidelity sensing and classification efficiency. This study proposes BLESeis, an IoT sensor for smart earthquake detection. BLESeis comprises three main parts: (1) high-fidelity vibration sensing using a MEMS accelerometer and digital filtering; (2) an embedded earthquake detection algorithm; (3) BLE (Bluetooth low energy) beacon for earthquake notification. For high-fidelity vibration sensing, a triggering algorithm and embedded finite impulse response (FIR) low-pass filter are developed. The acquired vibration is then classified by the earthquake detection algorithm developed to identify the earthquake signal from other vibration sources using time and frequency domain analysis. Upon detection of an earthquake, the BLE beacon broadcasts using the proposed data packet for efficient notification and visualization. The performance of the proposed system is evaluated through numerical simulations and a set of experiments using shaking table tests. The experiments show the feasibility of the low-cost earthquake detection and notification system. MDPI 2020-05-23 /pmc/articles/PMC7294427/ /pubmed/32456219 http://dx.doi.org/10.3390/s20102963 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Won, Jongbin
Park, Junyoung
Park, Jong-Woong
Kim, In-Ho
BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification
title BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification
title_full BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification
title_fullStr BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification
title_full_unstemmed BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification
title_short BLESeis: Low-Cost IoT Sensor for Smart Earthquake Detection and Notification
title_sort bleseis: low-cost iot sensor for smart earthquake detection and notification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294427/
https://www.ncbi.nlm.nih.gov/pubmed/32456219
http://dx.doi.org/10.3390/s20102963
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