Digital twin for rail and metro asset intelligence
Digital Twin (Rail & Metro)
See rolling-stock health in context with a 3D digital twin built for rail and metro operations—from fleet and train down to car and subsystem—with predictive analytics, RCA, and RAMS-aligned visibility.
Benefits
Investigate rolling stock at the right level—with live data, predictive insight, and root-cause context in one twin.
3D rolling-stock hierarchy — Move from fleet or train to car and subsystem so teams investigate where action is needed.
Holistic fleet health — Bring operational parameters and maintenance context into a shared view without inspecting every asset first.
Predictive analytics and RCA — Combine model outputs with root-cause context to prioritize maintenance planning and investigation.
RAMS-aligned visibility — Track reliability, availability, and safety measures that support rail readiness and compliance work.
Rail-specific intelligence — Link the twin to Metro GPT, dashboards, and the wider IIoT platform for role-specific questions.
Connected to FRACAS and APM — Escalate recurring issues into failure analysis and lifecycle decisions on the same platform.
Built on Rubus Digital 4.0 — Multi-site dashboards, AI/ML Workbench models, and rail industry context in one stack.
Rubus Digital Twin features for rail and metro
A 3D rolling-stock twin with predictive analytics, RCA, and RAMS context—linked to Metro GPT and the Rubus IIoT platform.
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