Railways To Rely On Artificial Intelligence To Prevent Signal Failures

Railways To Rely On Artificial Intelligence To Prevent Signal Failures

Indian 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.

The signalling system is vital for safe operations and the railways completely depend on its signalling assets along with the real time information.

Currently, the railways follow a manual maintenance system and adopt find-and-fix methods rather than predict-and-prevent approach.

“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,” said a senior Railway Ministry official involved with the project.

The system entails the collection of inputs on a pre-determined interval and 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.

The failure of signals is one of the major reasons for train accidents and delays. Read More…

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