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
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