Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors
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Date
2018-12-18
Authors
Fu, Yuguang
Mechitov, Kirill
Kim, Jong R.
Zhang, Dichuan
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
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.
Description
Keywords
sudden event monitoring, wireless smart sensors, demand-based nodes, event-triggered sensing, data fusion