Innovationen im Bereich der Instandhaltung

With the use of robots and sensors, ÖBB-Infrastruktur
AG ensures automatic and qualitative
monitoring and thus enables predictive and
condition-based maintenance, as well as the most
effective use of track closures. In addition, the
use of machines and robots increases employee
protection, reduces personnel deployment, and
minimizes work-related risks.
The condition monitoring data is, among other,
used for machine learning and simulation modelling.
To enable comprehensive analyses in a
digital twin in the future, a multi-model approach
appears to be necessary.
With these research approaches and the promising
results, ÖBB-Infrastruktur AG is paving the way
for maintenance that is prepared for the growing
rail mobility market.