Train Monitoring

Train monitoring is crucial for the safety of rail transportation. Examples include the acoustic analysis of failures and defects using artificial intelligence (AI) and the monitoring of loads.

Acoustic analysis makes it possible to monitor train vibrations in real time and detect unusual patterns. AI-based algorithms analyze acoustic signals and compare them with reference data to identify deviations. This allows problems to be detected and rectified at an early stage before they lead to major disruptions or accidents.

Another example of effective monitoring is the optical detection of the train profile. Slipped loads or open flaps pose considerable dangers, especially in stations or tunnels. Sector Profile Scanners (SPS) form a measuring portal from several laser scanners. Trains can pass through the portal at full speed while the laser scanners capture their geometric shape. The resulting 3D image immediately shows anomalies such as slipped loads, loose tarpaulins, open doors or damaged containers.