Indian Railways started observing the signaling system which aims at dropping the chance of signal failing. This would allow it to predict the failures through the use of artificial intelligence.
Recently, Railways is using a manual maintenance system and use the find-and fix process to resolve issues. A senior railway official involved with the project informed, “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”.
The new system gathers inputs at the pre-determined period of time and delivers the information to the central system, thus leading to problems being detected on a real-time basis. According to the information, an official informed that the system will permit forecast of signaling asset failures, automated self-correction and informed decisions on intervention strategies, thereby helping to avoid possible delays and mishaps.
The failure of signals is one of the major reasons for train accidents and delays. Newly remote monitoring of signaling is operational in Britain. The system allows data transfer via a wireless medium (3G, 4G, and high-speed mobile) and data based on these inputs will be used with the help of Artificial intelligence for predictive and prescriptive Big Data analytics.
The official said, that this system will enable the forecast of signaling asset failures, automated self-correction and informed decisions on intervention strategies.
The report also informs that the Indian Railways decided to test the system on two parts of Western Railway on the Ahmedabad- Vadodara and Bengaluru-Mysuru parts. The system will be enlarged further depending on the feedback received.