Long-Range Low-Power Multi-Hop Wireless Sensor Network for Monitoring the Vibration Response of Long-Span Bridges.

accelerometers long-range monitoring long-span bridge low-power wireless manhattan bridge multi-hop network operational modal analysis structural vibration monitoring

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
22 May 2022
Historique:
received: 01 04 2022
revised: 17 05 2022
accepted: 19 05 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 1 6 2022
Statut: epublish

Résumé

Recently, vibration-based monitoring technologies have become extremely popular, providing effective tools to assess the health condition and evaluate the structural integrity of civil structures and infrastructures in real-time. In this context, battery-operated wireless sensors allow us to stop using wired sensor networks, providing easy installation processes and low maintenance costs. Nevertheless, wireless transmission of high-rate data such as structural vibration consumes considerable power. Consequently, these wireless networks demand frequent battery replacement, which is problematic for large structures with poor accessibility, such as long-span bridges. This work proposes a low-power multi-hop wireless sensor network suitable for monitoring large-sized civil infrastructures to handle this problem. The proposed network employs low-power wireless devices that act in the sub-GHz band, permitting long-distance data transmission and communication surpassing 1 km. Data collection over vast areas is accomplished via multi-hop communication, in which the sensor data are acquired and re-transmitted by neighboring sensors. The communication and transmission times are synchronized, and time-division communication is executed, which depends on the wireless devices to sleep when the connection is not necessary to consume less power. An experimental field test is performed to evaluate the reliability and accuracy of the designed wireless sensor network to collect and capture the acceleration response of the long-span Manhattan Bridge. Thanks to the high-quality monitoring data collected with the developed low-power wireless sensor network, the natural frequencies and mode shapes were robustly recognized. The monitoring tests also showed the benefits of the presented wireless sensor system concerning the installation and measuring operations.

Identifiants

pubmed: 35632323
pii: s22103916
doi: 10.3390/s22103916
pmc: PMC9145541
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Science Foundation IUCRC Center for Energy Harvesting Materials and Systems
ID : 1738802

Références

Sensors (Basel). 2018 Dec 18;18(12):
pubmed: 30567375
Sensors (Basel). 2019 Apr 14;19(8):
pubmed: 31013993
Sensors (Basel). 2021 Feb 04;21(4):
pubmed: 33557055

Auteurs

Eleonora Maria Tronci (EM)

Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USA.

Sakie Nagabuko (S)

Toshiba, Corporate Research & Development Center, Toshiba Corporation, Tokyo 105-0023, Japan.

Hiroyuki Hieda (H)

Toshiba America Inc., New York, NY 10020, USA.

Maria Qing Feng (MQ)

Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USA.

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