Automatic Inspection of Tunnel Drainage Systems

  • Zagar, B. (Speaker)
  • Wolfgang Hofer (Speaker)
  • Tobias Schachinger (Speaker)
  • Romane Blanchard (Speaker)

Activity: Talk or presentationPoster presentationscience-to-science

Description

We present preliminary measurement / inspection results for various sensor systems mounted onto a sensor platform able to autonomously navigate through tunnel drainage pipe systems inspecting for carbonate scale deposits. These scale deposits occur in tunnel drainage systems made of thermoplastic pipes. The drainages enable to design tunnels without resistance to ground water pressure. This is beneficial due to technical and economic reasons and common in Austria and other regions in Europe, especially in mountainous areas. If tunnel drainages are clogged by scale deposits, the water pressure increases and the tunnel structure may suffer damage or water seeps into the tunnel. Therefore, maintenance works – inspection and cleaning – have to be performed frequently. Usually, train operation has to be stopped during these works. This kind of maintenance works represents the largest part of all regular maintenance works that are necessary in in Austrian railway tunnels and causes high costs. Austrian Railways‘ (ÖBB) goal is to develop inspection tools which can operate without influence on the railway traffic. We report on the development of a sensor platform to inspect pipes for scale deposits. The platform is designed small enough to be carried by an autonomously operating inspection rover which is suitable for all Austrian tunnel drainage pipe diameters. We further report on the development of the second-generation inspection rover which is based on a vehicle already available and which was shown to be able to traverse autonomously a few hundred meters of tunnel pipes. Keywords: drainage, pipe, carbonate deposit, inspection robot
Period08 Jun 2022
Event titleWCRR 2022 (World Congress on Rail Research), Birmingham
Event typeConference
LocationUnited KingdomShow on map

Fields of science

  • 202039 Theoretical electrical engineering
  • 202016 Electrical engineering
  • 202027 Mechatronics
  • 202015 Electronics
  • 202037 Signal processing
  • 202014 Electromagnetism
  • 202036 Sensor systems
  • 202024 Laser technology
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202012 Electrical measurement technology
  • 202022 Information technology
  • 202021 Industrial electronics
  • 207410 Photogrammetry
  • 103021 Optics
  • 101014 Numerical mathematics
  • 102003 Image processing

JKU Focus areas

  • Digital Transformation