Date Of Post: 21 Nov, 2017
New Delhi: Aiming to reduce the possibilities of signals failing, Railways has undertaken remote condition monitoring of the system, a new approach for the national transporter, to predict failures through the effective use of Artificial Intelligence.
Remote Monitoring Of Signal
- The Signalling system is vital for safe train operations & the railways completely depend on the health of its signalling assets alongwith real time information.
- At present, the railways follow a manual maintenance system & adopt find-and-fix methods rather than predict-and-prevent approach.
- A senior Railway Ministry official said,”Now, we are introducing remote condition monitoring using non-intrusive sensors for continuous online monitoring of signals, track circuits, axle counters and their sub-systems of interlocking, power supply systems including the voltage and current levels, relays, timers.”
About The System
- The system entails the collection of inputs on a predetermined interval & sending this to a central location.
- As a result, any flaws or problems in the signalling system would be detected on a real time basis and rectified to avoid possible delays and mishaps.
- At present, remote monitoring of signalling is operational in Britain.
- The system envisages data transfer through a wireless medium (3G, 4G & high speed mobile) and data based on these inputs will be utilised, with help of Artificial Intelligence (AI), for predictive & prescriptive Big Data analytics.
- The official said, this will enable prediction of signalling asset failures, automated self-correction & informed decisions on intervention strategies.
- The railways have decided that trial be taken up in two sections of Western Railway & South Western Railway at Ahmedabad-Vadodara & Bengaluru-Mysuru.
- Depending upon the feedback, the system would gradually be extended to other sections.