• DocumentCode
    3516389
  • Title

    Gas leak localization in industrial environments using a TDLAS-based remote gas sensor and autonomous mobile robot with the Tri-Max method

  • Author

    Bonow, G. ; Kroll, A.

  • Author_Institution
    Meas. & Control Dept., Univ. of Kassel, Kassel, Germany
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    987
  • Lastpage
    992
  • Abstract
    In order to automate routine inspections in large industrial environments, a mobile robotic system is being developed in the RoboGasInspector project. The robot´s sensor-head consists of different instruments for remote gas sensing using multiple measurement principles. This contribution focuses on Tunable Diode Laser Absorption Spectroscopy (TDLAS). The measurement device allows quantitative gas concentration measurements and achieves high sensitivity due to the active measurement principle. On the contrary, TDLAS systems measure the concentration along a path at a time and require a diffusely reflecting background. Using a pan-tilt unit, objects and areas can be scanned. This paper describes the triangulation-maximization leak-localizing strategy (Tri-Max) used in the project RoboGasInspector. Results based on outdoor experiments in two industrial plants and a landfill dump are presented.
  • Keywords
    gas industry; gas sensors; industrial robots; inspection; mobile robots; petroleum industry; RoboGasInspector project; TDLAS-based remote gas sensor; active measurement principle; autonomous mobile robot system; gas leak localization; industrial environments; industrial plants; landfill dump; multiple measurement principles; pan-tilt unit; quantitative gas concentration measurements; robot sensor-head; routine inspection; tri-max method; triangulation-maximization leak-localizing strategy; tunable diode laser absorption spectroscopy; Gas detectors; Inspection; Position measurement; Robot sensing systems; Semiconductor device measurement; Service robotics; industrial inspection; remote gas sensing; remote leak localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2013 IEEE International Conference on
  • Conference_Location
    Karlsruhe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-5641-1
  • Type

    conf

  • DOI
    10.1109/ICRA.2013.6630693
  • Filename
    6630693