• DocumentCode
    2729409
  • Title

    Structural Health Monitoring system based on strain gauge enabled wireless sensor nodes

  • Author

    Choi, Haksoo ; Choi, Sukwon ; Cha, Hojung

  • Author_Institution
    Dept. of Comput. Sci., Yonsei Univ., Yonsei
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    211
  • Lastpage
    214
  • Abstract
    Strain gauges are widely used in structural health monitoring (SHM) systems because they are inexpensive, easy to install, and sensitive enough to detect the potential danger of collapse of a building or structure. However, off-the-shelf equipment for the strain gauges is usually either wired to the sensors or wireless with very limited range, which significantly increases the total cost as well as restricting the performance of the deployment. In this paper, we propose a structural health monitoring system based on wireless sensor nodes equipped with inexpensive strain gauges. The performance of the system is not limited, because multi-hop deployment is possible. Our system consists of a sensor board, which properly amplifies and converts the signal from the strain gauges, and communication software, written in TinyOS, that is in charge of reliable transport of the strain data. We evaluated our system in comparison with the commercial equipment. The experiment results show that the proposed system is reliable and effective for use in structural health monitoring.
  • Keywords
    condition monitoring; strain gauges; structural engineering; wireless sensor networks; TinyOS; multi-hop deployment; off-the-shelf equipment; strain gauge; structural health monitoring system; wireless sensor nodes; Accelerometers; Buildings; Capacitive sensors; Computerized monitoring; Costs; Sensor systems; Sensor systems and applications; Strain measurement; Telecommunication network reliability; Wireless sensor networks; strain gauge; structural health monitoring; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Sensing Systems, 2008. INSS 2008. 5th International Conference on
  • Conference_Location
    Kanazawa
  • Print_ISBN
    978-4-907764-31-9
  • Type

    conf

  • DOI
    10.1109/INSS.2008.4610888
  • Filename
    4610888