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Proceedings Paper

Wireless structural monitoring for homeland security applications
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Paper Abstract

This paper addresses the development of a robust, low-cost, low power, and high performance autonomous wireless monitoring system for civil assets such as large facilities, new construction, bridges, dams, commercial buildings, etc. The role of the system is to identify the onset, development, location and severity of structural vulnerability and damage. The proposed system represents an enabling infrastructure for addressing structural vulnerabilities specifically associated with homeland security. The system concept is based on dense networks of “intelligent” wireless sensing units. The fundamental properties of a wireless sensing unit include: (a) interfaces to multiple sensors for measuring structural and environmental data (such as acceleration, displacements, pressure, strain, material degradation, temperature, gas agents, biological agents, humidity, corrosion, etc.); (b) processing of sensor data with embedded algorithms for assessing damage and environmental conditions; (c) peer-to-peer wireless communications for information exchange among units(thus enabling joint “intelligent” processing coordination) and storage of data and processed information in servers for information fusion; (d) ultra low power operation; (e) cost-effectiveness and compact size through the use of low-cost small-size off-the-shelf components. An integral component of the overall system concept is a decision support environment for interpretation and dissemination of information to various decision makers.

Paper Details

Date Published: 14 July 2004
PDF: 9 pages
Proc. SPIE 5395, Nondestructive Detection and Measurement for Homeland Security II, (14 July 2004); doi: 10.1117/12.539946
Show Author Affiliations
Garo K. Kiremidjian, Sensametrics, Inc. (United States)
Anne S. Kiremidjian, Stanford Univ. (United States)
Jerome P. Lynch, Univ. of Michigan (United States)

Published in SPIE Proceedings Vol. 5395:
Nondestructive Detection and Measurement for Homeland Security II
Steven R. Doctor; Yoseph Bar-Cohen; A. Emin Aktan; H. Felix Wu, Editor(s)

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