Delhi Metro rolls out AI systems to spot faults before delays hit services
The Delhi Metro Rail Corporation on Friday said it has introduced a set of AI-based systems to monitor critical metro infrastructure and improve reliability, safety
The Delhi Metro Rail Corporation on Friday said it has introduced a set of AI-based systems to monitor critical metro infrastructure and improve reliability, safety and service operations. The systems cover overhead wires, train wheels, axle bearings and track circuits, and have been deployed across multiple corridors as part of its push to strengthen predictive maintenance and fault detection. According to an official, the new technologies are aimed at reducing delays, improving service reliability and making maintenance more efficient. Read Full Story The corporation also said it plans to bring in more AI-based technologies in the coming days, while building its capabilities through collaboration with domain experts and specialised training for its workforce.
As part of the initiative, DMRC has introduced an Overhead Wire System Health Monitoring solution using the Pantograph Collision Detection System on the Red, Yellow and Blue lines. The official said the system uses accelerometers and drop-off sensors fitted on train pantographs to continuously monitor contact between the moving pantograph and the overhead wire, helping identify wire alignment issues and hard points. DMRC has also deployed AI-based video monitoring of the overhead wire network on the Pink and Magenta lines. The official said the system analyses video footage captured from trains using AI image analytics to detect and classify anomalies in the overhead infrastructure.
In addition, an Automatic Wheel Profile Monitoring System has been introduced on the Pink Line to continuously assess the condition of train wheels using high-precision laser sensors while trains are in motion, the official said. An Automatic Axle Bearing Temperature Monitoring System has also been deployed on the Pink and Magenta lines to monitor axle bearing temperatures and enhance train safety. The corporation has further introduced an AI-based predictive maintenance system for track circuits on the Green and Violet lines. According to DMRC, the system is expected to reduce train delays, minimise on-track maintenance work, optimise manpower deployment and ensure smoother and safer metro operations.
Overall, the corporation said the new AI-based systems are intended to improve monitoring of key assets and support safer, more reliable metro services. Ends
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