TY - GEN
T1 - Data models and diagnosis algorithms to support structural health monitoring system for buildings
AU - Mita, Akira
AU - Ogawa, Shuichi
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - ARX
KW - Data model
KW - Structural health monitoring
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=77955674820&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955674820&partnerID=8YFLogxK
U2 - 10.1117/12.815681
DO - 10.1117/12.815681
M3 - Conference contribution
AN - SCOPUS:77955674820
SN - 9780819475527
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
T2 - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
Y2 - 9 March 2009 through 12 March 2009
ER -