Railways to utilize artificial intelligence to check signal failures

Published on : Tuesday, November 21, 2017

indian-railways-759Indian Railways has undertaken to remotely condition the monitoring of the system with an aim to minimize the probabilities of its failing signals.

 

This would be a brand new approach for the national transporter in order to predict failures through the effectual utilization of artificial intelligence.

 

This signaling system is important for ensuring safe train operations. And the railways are completely dependent on the health of its signaling assets along with real time information.

 

Presently the railways adhere to a manual maintenance system and adopt find-and-fix processes rather than predict-and-prevent approach.

 

One of the senior Railway Ministry officials associated with this project has mentioned that currently they have started introducing remote condition monitoring system using non-intrusive sensors for continuous monitoring of signals, axle counters, track circuits and their sub-systems including the current levels, relays, timers and more.

 

The system entails the collection of inputs on a pre-determined interval and sending this to a centralized location.

 

Consequently any flaws or defects in the signaling system would be detected on a real-time basis and rectified to avert probable mishaps and delays.

 

The failure of signals is among the major reasons for train delays and accidents.

 

Right now, remote monitoring of signaling is functional in Britain.
The railways have decided that trial would be taken up in two sections of Western Railway and South Western Railway at Ahmedabad-Vadodara and Bengaluru-Mysuru. Depending on the feedback, this system would gradually be extended to other sections.

 


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