Mumbai Metro has put in an indigenously developed AI-based Wheel Profile Measurement System (AWPMS) for the primary time, enabling proactive detection of wheel put on, harm and substitute wants.
Developed by IntelliRail, the system is designed to enhance security, prolong wheel life and cut back stress on tracks throughout Strains 2A and seven, officers mentioned.
IntelliRail, which specialises in AI-powered diagnostic instruments for railways, mentioned the “IntelliWPMS is a hard and fast, trackside community of sensors and gear methods utilizing lasers and cameras to offer correct knowledge on numerous wheel parameters.”
It added that the system, powered by machine imaginative and prescient, “ensures accuracy and pace of study, whereas minimising human dependency,” whereas additionally enhancing asset life and delivering important value financial savings.
The AWPMS has been deployed on the Charkop depot as a part of MMMOCL’s wider metro modernisation programme.
Officers mentioned the most recent deployment is built-in into a bigger diagnostic bundle being provided by BEML for the Charkop and Mandale depots, with IntelliRail’s system put in underneath the steering of the Delhi Metro Rail Company (DMRC).
IntelliRail highlighted that India’s metro methods are transitioning from periodic upkeep to condition-based upkeep (CBM), pushed by sensors, analytics and distant monitoring.
Consultants famous that as metro networks transfer nearer to unmanned prepare operations, applied sciences like AWPMS will play a key function in guaranteeing effectivity and security.
Calling the set up “a big accomplishment,” IntelliRail CEO Piyush Nigam mentioned the challenge aligns with the Make in India mandate and strengthens the corporate’s push to take the know-how international.
The corporate added that its no-contact, high-accuracy system requires no main civil work and makes use of edge computing to ship instant outcomes, whereas additionally enabling SMS or e-mail alerts when defects are detected.
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