Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
One of Asia's largest transit networks carries more than seven million daily commuters across 395 kilometers of track and 289 stations.
Critical equipment data was trapped in isolated systems, forcing maintenance teams to rely on manual monitoring and prevalent maintenance practices....
“We are using predictive maintenance for track, signalling gears, bearings of rolling stock, lifts, and escalators. Additionally, the Passenger Information Display System (PIDS) provides real-time updates, and the Communication-Based Train Control (CBTC) system on the magenta and pink lines improves train automation and safety. These projects collectively enhance efficiency, sustainability, and user convenience.”
Public rail transit network for Delhi and its surrounding satellite cities.
Helped DMRC build a Data Center of Excellence (DCoE) on Google Cloud for predictive maintenance.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Delhi Metro Rail Corporation (DMRC)'s Predictive maintenance is part of this use case:
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Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.
One of Asia's largest transit networks carries more than seven million daily commuters across 395 kilometers of track and 289 stations.
Critical equipment data was trapped in isolated systems, forcing maintenance teams to rely on manual monitoring and prevalent maintenance practices....
“We are using predictive maintenance for track, signalling gears, bearings of rolling stock, lifts, and escalators. Additionally, the Passenger Information Display System (PIDS) provides real-time updates, and the Communication-Based Train Control (CBTC) system on the magenta and pink lines improves train automation and safety. These projects collectively enhance efficiency, sustainability, and user convenience.”
Public rail transit network for Delhi and its surrounding satellite cities.
Helped DMRC build a Data Center of Excellence (DCoE) on Google Cloud for predictive maintenance.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Delhi Metro Rail Corporation (DMRC)'s Predictive maintenance is part of this use case:
Related implementations across industries and use cases
Tedious document routing and formatting kept staff from educational duties. Now, AI auto-routes files and drafts press releases.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
With 2.5 staff, manual counts slowed signal timing. Vision AI now tracks 55k vehicles in a live 3D twin to optimize flow continuously.
Attendants couldn't memorize procedures for 340 equipment types. Now, an AI app surfaces exact fixes directly to frontline staff.
Data silos forced reactive repairs across three counties. Now, AI predicts failures early, cutting unplanned downtime by 40%.
New agents manually trawled complex file folders for answers. Now, they ask an AI assistant to instantly synthesize multi-source data.
Staff manually cross-checked hundreds of pages. Agents now synthesize technical files to draft environmental analyses.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.