National Edu News: Pune based startup develops rapid diagnostic kit for COVID 19 screening  |  Teacher Insights: DoPT launches first of its kind iGOT e-learning Platform for Covid-19 warriors   |  Technology Inceptions: Covid-19: SCTIMST scientists develop disinfected barrier-examination booth   |  Health Monitor: DST approves funding to develop a gel for nasal passage to prevent Covid-19  |  National Edu News: Indian researchers start working on novel coronavirus genome sequencing  |  Teacher Insights: TRIFED to launch a digital campaign in collaboration with UNICEF  |  Leadership Instincts: MHRD's "Samadhan" challenge to fight against covid19 and future challenges  |  National Edu News: CSIR-CFTRI to provide testing equipment for COVID-19 detection  |  Technology Inceptions: Covid-19: Leeds University Modifies Sleep Apnoea Machine into Ventilator   |  Science Innovations: New Ways to Target Harmful Proteins in Cancerous Cells Developed at UNIGE  |  Education Information: European University of Well-Being launches website  |  Education Information: Covid-19: Free online training for people in clinical roles   |  Leadership Instincts: Covid-19: Bristol professor to lead the UN Subcommittee on Prevention of Torture  |  Education Information: LSE students and alumni develop app to help with social distancing  |  International Edu News: LSE achieves Athena SWAN gender equality award  |  
November 21, 2017 Tuesday 04:55:15 PM IST

Railways to use AI for preventing signal failures

Technology Inceptions

New Delhi: Aiming to reduce the possibilities of signals failing, 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 train operations and the railways completely depend on the health of its signalling assets alongwith 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. Currently remote monitoring of signalling is opertaional in Britain.


The system envisages data transfer through a wireless medium (3G, 4G and high speed mobile) and data based on these inputs will be utilised, with help of Artificial Intelligence (AI), for predictive and prescriptive Big Data analytics.

This will enable prediction of signalling asset failures, automated self-correction and informed decisions on intervention strategies, said the official. The railways have decided that trial be taken up in two sections of Western Railway and South Western Railway at Ahmedabad-Vadodara and Bengaluru-Mysuru.Depending upon the feedback, the system would gradually be extended to other sections.

Comments