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Mobile Track Monitoring by Passenger Trains
March 19 @ 17:00 - 19:00
Jonathon Stelling, Product Manager, Hitachi Rail
Nottingham & Derby Section hybrid meeting
Mobile monitoring of these systems generates a wide range of information not only to the alert of defects but also historical information for trend analysis to aid preventative maintenance. As the requirement for near real-time monitoring increases and the endless insights this information can deliver, justifies the reason for extending coverage from Network Rails dedicated measurement fleet to passenger vehicles.
This presentation examines Unattended Track Geometry Measurement Systems (UGMS), covering their integration onto passenger borne rolling stock and the full process of capturing, processing and visualising data within HMAX RAVE while geolocating additional datasets such as high resolution linescan imagery and aggregated axle box acceleration data to deliver richer contextual insight.
RAVE visualises UGMS data from several Hitachi operated passenger fleets across the East Coast Mainline, Great Western, TransPennine and West of England routes, joining geometry measurements with high resolution linescan imagery and aggregated axle box acceleration data with precision accuracy. This combined view provides a unified track assessment, enabling stronger defect validation and earlier identification of degradation patterns that may not be evident from geometry data alone.
The demand for high‑volume, high‑precision datasets introduces significant challenges in processing, storage, and validation. Edge and cloud‑based Artificial Intelligence workflows mitigate these constraints by performing on‑train pre‑processing, intelligent feature extraction, and automated quality‑assurance checks, substantially reducing data transmission requirements and eliminating the need for manual validation.
Meeting in-person from 17:00 for refreshments courtesy of RailEI for a 17:30 start.
You can also join the meeting virtually through Microsoft Teams.
Join: https://teams.microsoft.com/meet/36631790312122?p=gcoFDnSmWTz3iTQkUS
Meeting ID: 366 317 903 121 22
Passcode: 95Cn23QJ
Dial in by phone
+44 20 3321 5213,,402919269# United Kingdom, City of London
Phone conference ID: 402 919 269#
If you are a RailEI member, please book your space if would like this event to be automatically recorded in your CPD portfolio.
