TY - GEN
T1 - An intelligent wireless system for real-time seismic monitoring of civil infrastructure
AU - Fu, Yuguang
AU - Hoang, Tu
AU - Mechitov, Kirill
AU - Kim, Jong R.
AU - Spencer, Billie F.
N1 - Funding Information:
The authors gratefully acknowledge the support of this research by Nazarbayev University Research Fund under Grant #SOE2017003, ZJU-UIUC Institute Research under Grant #ZJU083650, and Federal Railroad Administration under Grant #DTFR53-17-C00007.
PY - 2019
Y1 - 2019
N2 - Traditional seismic monitoring systems for civil infrastructure using wired sensors can be prohibitive, due to onerous and expensive cabling networks. Wireless smart sensors (WSS) offer tremendous opportunity to reduce cost and realize the promise of pervasive sensing. However, seismic structural monitoring using WSS remains elusive, and main obstacles include stringent energy constraint and limited transmission bandwidth. To address the challenges, an intelligent wireless system is developed as a cost-effective solution of real-time seismic monitoring of civil infrastructure. The system consists of three main components: ultralow-power on-demand sensing prototypes, a high-throughput live streaming framework, and a MATLAB-based application for real-time damage assessment. The capabilities of the developed system are validated by a lab test, demonstrating that the system can detect seismic motions, provide high-quality synchronized data, and present damage assessment in real-time.
AB - Traditional seismic monitoring systems for civil infrastructure using wired sensors can be prohibitive, due to onerous and expensive cabling networks. Wireless smart sensors (WSS) offer tremendous opportunity to reduce cost and realize the promise of pervasive sensing. However, seismic structural monitoring using WSS remains elusive, and main obstacles include stringent energy constraint and limited transmission bandwidth. To address the challenges, an intelligent wireless system is developed as a cost-effective solution of real-time seismic monitoring of civil infrastructure. The system consists of three main components: ultralow-power on-demand sensing prototypes, a high-throughput live streaming framework, and a MATLAB-based application for real-time damage assessment. The capabilities of the developed system are validated by a lab test, demonstrating that the system can detect seismic motions, provide high-quality synchronized data, and present damage assessment in real-time.
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U2 - 10.12783/shm2019/32391
DO - 10.12783/shm2019/32391
M3 - Conference contribution
AN - SCOPUS:85074263006
T3 - Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
SP - 2485
EP - 2492
BT - Structural Health Monitoring 2019
A2 - Chang, Fu-Kuo
A2 - Guemes, Alfredo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications Inc.
T2 - 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Y2 - 10 September 2019 through 12 September 2019
ER -