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
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