Train activity
Observe passage locations and timing, using route mapping to analyse moving signatures.
SMART RAIL / PHYSICAL AI
Let fiber sense the railway. Let AI interpret the change.
Connect trackside fiber, physical AI and operational context to observe train activity, investigate wheel–rail signatures and review events along the route.
01 / ROUTE AWARENESS
Follow the track. Reveal the journey in signals.
Train-induced vibrations couple through track, ground and cable into distributed signals. Fiber sensing places these observations on shared spatial and temporal coordinates, complementing existing monitoring.
Condition signatures
Extract changes in wheel–rail responses and vibration patterns that merit review.
Trackside events
Associate external activity and environmental disturbances with sections for field investigation.
02 / APPLICATIONS
From passing trains to changes along the corridor.
Define observations around specific use cases and interpret vibration signals alongside operational context.
OX-Sense concepts · Waveforms and visual effects are illustrative, not measured data. Longitudinal soil cutaways reveal cable routes parallel to the railway. Actual direct-buried installations are backfilled and compacted, with no exposed cable; depth and separation are defined by site design.
Train movement observations
Moving signatures in distance–time records support investigation of train passage, journey times and speed estimates after route calibration, with checks against timetables or existing location data.
Wheel–rail condition signatures
Study repeated impacts, local responses and spectral changes as candidate wheel–rail anomaly features. Build baselines for train type, speed and load, then validate against specialist inspections.
Environment & external activity
Observe vibration signatures associated with rockfall, slope disturbance, nearby construction and people. Correlate video, inspections and work schedules to investigate location and context.
03 / FROM VIBRATION TO INSIGHT
Turn continuous signals into interpretable trajectories.
Acquire spatial and temporal observations from trackside fiber. Incorporate propagation, installation coupling and operating conditions into model development to distinguish moving events from local disturbances.
Trackside acquisition
Assess fiber availability, placement and coupling with track and ground.
Spatial–temporal features
Extract moving signatures, repeated impacts and persistent local disturbances.
Models & investigation
Combine physical knowledge and field samples to produce traceable analytical evidence.
04 / OPERATIONAL CONTEXT
Locate the signal. Ground the investigation.
Connect observations, operating records and field feedback to build understanding of the railway.
Route mapping
Relate fiber distance to railway sections, bridges, tunnels and priority areas.
Cross-check observations
Use timetables, video and maintenance records to interpret normal work and anomalies.
Field feedback
Retain signals and investigation records for model review and improvement.
05 / FIELD VALIDATION
Start with representative sections. Build a reliable baseline.
Pilot against route conditions and target events, defining observation scope, evaluation methods and intended use.
Assess installation & coupling
Review fiber separation, depth, troughs and bridge or tunnel conditions.
Cover operating conditions
Include train types, speeds, passing trains and construction noise to assess transfer across sections.
Validate with field evidence
Evaluate location, recognition and false alarms against known events and specialist inspection before expanding.
This solution supports supplementary observation and maintenance investigation. It does not replace train control, interlocking or track circuits; capabilities require field validation.
OX-SENSE / FEEL THE WORLD
Start with a railway section. Build clearer operational insight.
Discuss the corridor, fiber conditions and monitoring priorities to define a field validation plan.
Discuss railway monitoring