UWE Bristol is involved in the development of new technology which will predict when part of a train track, signalling equipment or other devices at a station are likely to fail.
The system is currently in development and will also allow engineers to use Augmented Reality (AR) via a smartphone or a Head Mounted Display (HMD) to locate failing components or structure faults and read on-screen instructions in real-time to help them with repairs.
A network of Internet of Things (IoT) sensors will initially be installed in 2019 in test site London Bridge Station. They will gather data on tracks and station facilities, such as ventilation systems, barriers or lighting before sending it to a software called i-RAMP (IoT-enabled Platform for Rail Assets Monitoring and Predictive Maintenance).
To read more, please see this recently published UWE Bristol news item.