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Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors

Wireless smart sensors (WSS) have been proposed as an effective means to reduce the high cost of wired structural health monitoring systems. However, many damage scenarios for civil infrastructure involve sudden events, such as strong earthquakes, which can result in damage or even failure in a matt...

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Autores principales: Fu, Yuguang, Hoang, Tu, Mechitov, Kirill, Kim, Jong R., Zhang, Dichuan, Spencer, Billie F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308715/
https://www.ncbi.nlm.nih.gov/pubmed/30567375
http://dx.doi.org/10.3390/s18124480
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author Fu, Yuguang
Hoang, Tu
Mechitov, Kirill
Kim, Jong R.
Zhang, Dichuan
Spencer, Billie F.
author_facet Fu, Yuguang
Hoang, Tu
Mechitov, Kirill
Kim, Jong R.
Zhang, Dichuan
Spencer, Billie F.
author_sort Fu, Yuguang
collection PubMed
description Wireless smart sensors (WSS) have been proposed as an effective means to reduce the high cost of wired structural health monitoring systems. However, many damage scenarios for civil infrastructure involve sudden events, such as strong earthquakes, which can result in damage or even failure in a matter of seconds. Wireless monitoring systems typically employ duty cycling to reduce power consumption; hence, they will miss such events if they are in power-saving sleep mode when the events occur. This paper develops a demand-based WSS to meet the requirements of sudden event monitoring with minimal power budget and low response latency, without sacrificing high-fidelity measurements or risking a loss of critical information. In the proposed WSS, a programmable event-based switch is implemented utilizing a low-power trigger accelerometer; the switch is integrated in a high-fidelity sensor platform. Particularly, the approach can rapidly turn on the WSS upon the occurrence of a sudden event and seamlessly transition from low-power acceleration measurement to high-fidelity data acquisition. The capabilities of the proposed WSS are validated through laboratory and field experiments. The results show that the proposed approach is able to capture the occurrence of sudden events and provide high-fidelity data for structural condition assessment in an efficient manner.
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spelling pubmed-63087152019-01-04 Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors Fu, Yuguang Hoang, Tu Mechitov, Kirill Kim, Jong R. Zhang, Dichuan Spencer, Billie F. Sensors (Basel) Article Wireless smart sensors (WSS) have been proposed as an effective means to reduce the high cost of wired structural health monitoring systems. However, many damage scenarios for civil infrastructure involve sudden events, such as strong earthquakes, which can result in damage or even failure in a matter of seconds. Wireless monitoring systems typically employ duty cycling to reduce power consumption; hence, they will miss such events if they are in power-saving sleep mode when the events occur. This paper develops a demand-based WSS to meet the requirements of sudden event monitoring with minimal power budget and low response latency, without sacrificing high-fidelity measurements or risking a loss of critical information. In the proposed WSS, a programmable event-based switch is implemented utilizing a low-power trigger accelerometer; the switch is integrated in a high-fidelity sensor platform. Particularly, the approach can rapidly turn on the WSS upon the occurrence of a sudden event and seamlessly transition from low-power acceleration measurement to high-fidelity data acquisition. The capabilities of the proposed WSS are validated through laboratory and field experiments. The results show that the proposed approach is able to capture the occurrence of sudden events and provide high-fidelity data for structural condition assessment in an efficient manner. MDPI 2018-12-18 /pmc/articles/PMC6308715/ /pubmed/30567375 http://dx.doi.org/10.3390/s18124480 Text en © 2018 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
Fu, Yuguang
Hoang, Tu
Mechitov, Kirill
Kim, Jong R.
Zhang, Dichuan
Spencer, Billie F.
Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors
title Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors
title_full Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors
title_fullStr Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors
title_full_unstemmed Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors
title_short Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors
title_sort sudden event monitoring of civil infrastructure using demand-based wireless smart sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308715/
https://www.ncbi.nlm.nih.gov/pubmed/30567375
http://dx.doi.org/10.3390/s18124480
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