Data management of smart sensor networks for Structural Health Monitoring

Shuichi Ogawa, Akira Mita

Research output: Contribution to journalConference articlepeer-review


With increasing awareness of the urban sustainability. the interests of risk management methods for structural health have increased. Thus, various system identification methods and damage detection methods have been proposed. Using those algorithms. The, Structural Health Monitoring (SHM) systems have been developed. As a result, the number of real structures with SHM systems is increasing. However, the information obtained by SHM has not ever been shared effectively, because the existing systems are only for individual structures. In fact, standardized evaluation procedure has not been established yet in spite of the progress of SHM technologies. While, the demand from the society that users want to know about the health information of their own houses is growing. Hence, we need the system that can collect and store the data from structures and also analyze and disclose the data to users. In our laboratory, smart sensor unit (data acquisition and data management), data analysis method (system identification and damage detection), and user interface (Web site, data abstraction. MATLAB Web Server and sensor management) for SHM have been studied and developed. This SHM system evaluates the soundness of structures dotted over wide areas using SHM technology and networks, and publishes the result of diagnosis to the public. In the past research, the usefulness of analyzing and publishing the data on the Web has been shown. However, the challenges in data management have been unresolved, (e.g. data were only managed by layered directory, data were collected by hand, et al ) Recently, the data management for SHM systems has been extensively studied for automatic-data acquisition and registration by smart sensors. In this study, sensor information management system which uses web is proposed. The SUZAKU-V(3) and Hypertext Preprocessor (PHP) enable us easy configuration of the sensor information.

Original languageEnglish
Pages (from-to)173-177
Number of pages5
JournalMaterials Forum
Publication statusPublished - 2008 Dec 1
Event2nd Asia-Pacific Workshop on Structural Health Monitoring, 2APWSHM - Melbourne, VIC, Australia
Duration: 2008 Dec 22008 Dec 4


  • Database
  • SHM system

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering


Dive into the research topics of 'Data management of smart sensor networks for Structural Health Monitoring'. Together they form a unique fingerprint.

Cite this