Data models and diagnosis algorithms to support structural health monitoring system for buildings

Akira Mita, Shuichi Ogawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
EditionPART 1
DOIs
Publication statusPublished - 2009 Dec 1
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 - San Diego, CA, United States
Duration: 2009 Mar 92009 Mar 12

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
NumberPART 1
Volume7292
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
CountryUnited States
CitySan Diego, CA
Period09/3/909/3/12

Keywords

  • ARX
  • Data model
  • Structural health monitoring
  • System identification

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Mita, A., & Ogawa, S. (2009). Data models and diagnosis algorithms to support structural health monitoring system for buildings. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 (PART 1 ed.). [72921T] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7292, No. PART 1). https://doi.org/10.1117/12.815681