Early warning systems (EWS) for the structural monitoring of buildings and structures have a notable impact for the safety of the same structures and of the populations. These systems have significantly increased with the availability of wireless sensor networks (WSNs) which represent a low cost, but a reliable solution, to perform the real-time monitoring task. The main goal of this work is the realization of a customized multi-sensor node, based on a WSN, suitable for the implementation of a distributed EWS for the structural monitoring of buildings and structures. The proposed solution uses two inclinometers and one triaxial accelerometer, a microcontroller platform and a ZigBee communication tool for data communications. To allow a context-Adaptive architecture of the developed system, three operating mode have been defined: stand-Alone, continuous data transfer, and mixed mode. The storage capability of acquired data was also implemented. © 2014 IEEE.

A low cost multi-sensor approach for early warning in structural monitoring of buildings and structures

Ando' B.;Baglio S.;Pistorio A.
2014-01-01

Abstract

Early warning systems (EWS) for the structural monitoring of buildings and structures have a notable impact for the safety of the same structures and of the populations. These systems have significantly increased with the availability of wireless sensor networks (WSNs) which represent a low cost, but a reliable solution, to perform the real-time monitoring task. The main goal of this work is the realization of a customized multi-sensor node, based on a WSN, suitable for the implementation of a distributed EWS for the structural monitoring of buildings and structures. The proposed solution uses two inclinometers and one triaxial accelerometer, a microcontroller platform and a ZigBee communication tool for data communications. To allow a context-Adaptive architecture of the developed system, three operating mode have been defined: stand-Alone, continuous data transfer, and mixed mode. The storage capability of acquired data was also implemented. © 2014 IEEE.
2014
978-1-4673-6386-0
accelerometer; EWS; inclinometer; WSN
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/692869
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