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Shaping the Future of Structural Health Monitoring with IOT Sensors

DAMON PARSY

Abstract


Structural health monitoring (SHM) is an innovative method of monitoring structural safety, integrity, and performance without affecting the structure itself. Wireless sensor Networks (WSN) have demonstrated their potential for structural Health Monitoring: flexible, easy to deploy, lightweight and cost-effective. However, in many monitoring system, the conventional usages of WSNs are cases with low data rate, small data size, low duty cycle, and low power consumption. Structural health monitoring requires high data rate, time-synchronization, large data size, measurement stability and a relatively high Sampling rate. There are few studies about clock distribution in WSN for data fusion and modal analysis. In this study, we outline the synchronization requirements of wireless sensor networks and present how clock-drift, network aggregation capacity and measurement stability issues are solved.


DOI
10.12783/shm2019/32227

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