• DocumentCode
    2729497
  • Title

    Optical vortex and correlation image sensor for networked deformation sensing of infrastructures

  • Author

    Sato, Seichi ; Kurihara, Toru ; Ando, Shigeru ; Fujimoto, Ikumatsu

  • Author_Institution
    Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    39
  • Lastpage
    42
  • Abstract
    This paper outlines a new research project (CREST) for structure health monitoring. The purpose is to develop a networked sensor for static, full-axis deformation of large and long structures such as bridges, roads, and railways. We propose a novel technique based on the combined use of an optical vortex (OV) beam and correlation image sensors (CIS). Since the beam profile of OV involves definitive features known as zeros or phase singularities and they are invariant through propagation, we can encode and transmit information to determine geometrical relations between the sender and receiver nodes. By demodulating an amplitude and phase profile of OV using the CIS, all (three lateral and three rotational) displacement components can be determined. The basic optical setup is presented and the results of the fundamental experiments are shown.
  • Keywords
    condition monitoring; demodulation; distributed sensors; image sensors; optical correlation; optical vortices; correlation image sensor; demodulation; networked infrastructure deformation sensing; optical vortex beam; structure health monitoring; Bridges; Computational Intelligence Society; Image sensors; Monitoring; Optical beams; Optical propagation; Optical receivers; Optical vortices; Rail transportation; Roads; correlation image sensor; displacement measurement; optical vortex beam; structure health monitoring;
  • 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.2008.4610894
  • Filename
    4610894