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Proceedings Paper

Data models and diagnosis algorithms to support structural health monitoring system for buildings
Author(s): Akira Mita; Shuichi Ogawa
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Paper Abstract

We have recently developed a prototype SHM system consisting of smart sensors, database and MATALB servers. In preceding efforts, we demonstrated the usefulness of analyzing and publishing the data on the web. However, the effective data management and automatic analysis had not been provided. In this study, the data model for easy and flexible data management and automatic configuration of the smart sensors are proposed and their feasibility is demonstrated. In addition, an automatic analysis tool based on ARX models is introduced for practical application. The prototype SHM system is in operation for more than two months without any troubles. To incorporate many needs from different stakeholders, we formed a consortium called K-SHM last year at Keio University. At present, 16 companies joined the consortium consisting of 11 construction companies, 3 large design firms, a sensor maker and a system integration company as members. The consortium will continue improving this system for real application.

Paper Details

Date Published: 30 March 2009
PDF: 8 pages
Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 72921T (30 March 2009); doi: 10.1117/12.815681
Show Author Affiliations
Akira Mita, Keio Univ. (Japan)
Shuichi Ogawa, Keio Univ. (Japan)

Published in SPIE Proceedings Vol. 7292:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
Masayoshi Tomizuka, Editor(s)

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