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Proceedings Paper

A model for earthquake acceleration monitoring with wireless sensor networks in a structure
Author(s): Takahiro Fujiwara; Yugo Nakamura; Kousei Jinno; Taku Matsubara; Hideyuki Uehara
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Paper Abstract

Wireless sensor networks (WSNs) technologies have attracted much attention to collect damage information in a natural disaster. WSNs to monitor temperature or humidity usually collect data once in some seconds or some minutes. Since structural health monitoring (SHM), meanwhile, aims to make a diagnosis for the state of a structure based on detected acceleration, WSNs are a promising technology to collect acceleration data. One concern to employ WSNs in SHM is to detect phenomena at a high sampling rate under energy-aware condition. In this paper, we describe a model for seismic acceleration monitoring, configured with multi-layer networks: WSNs, a wireless distribution system (WDS) and a database server, where the WDS is mainly operating in a wireless local area network (WLAN). Examining the performance in the test bed for the monitoring system, the results showed the system was capable of collecting acceleration at a rate of 100 sampling per second (sps) even in the fashion of intermittent operation, and capable of storing data into a database. We also suggest that the method using intermittent operation with appropriate sampling rate is effective in providing a long time operation for the system by considering in the response motion of a structure.

Paper Details

Date Published: 8 March 2014
PDF: 6 pages
Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90612V (8 March 2014); doi: 10.1117/12.2044929
Show Author Affiliations
Takahiro Fujiwara, Hakodate National College of Technology (Japan)
Yugo Nakamura, Hakodate National College of Technology (Japan)
Kousei Jinno, Toyohashi Univ. of Technology (Japan)
Taku Matsubara, Toyohashi Univ. of Technology (Japan)
Hideyuki Uehara, Toyohashi Univ. of Technology (Japan)


Published in SPIE Proceedings Vol. 9061:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
Jerome P. Lynch; Kon-Well Wang; Hoon Sohn, Editor(s)

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