AP Sensing – Network Rail to trial an energy-efficient predict-and-prevent maintenance system – FOSA
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AP Sensing – Network Rail to trial an energy-efficient predict-and-prevent maintenance system

Known as Spectrail, the project will help Network Rail collect data in an energy-efficient way through the ‘sensorisation’ of track areas that have previously been inaccessible due to lack of power, connectivity or high costs….AP Sensing…recently received funding from the Department for Transport as part of Network Rail’s R&D program….

Through its Internet of Things-powered (IoT) multi-sensing platform, Spectrail monitors complex railway data, including track obstructions, human trespassing, track temperature changes, soil saturation and pollution levels. The sensors will tap into Network Rail’s existing fiber optic cable network using AP Sensing’s Distributed Acoustic/Vibration Sensing (DAS/DVS) – a system that detects vibrations and captures acoustic energy by identifying changes in light transmission caused by disturbances on fiber cables.
Network Rail to trial an energy-efficient predict-and-prevent maintenance system
Railway Technology November 20, 2019
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