Digital Twin and the New Reality of Operating Water Infrastructure
The water services sector operates some of the most complex technical systems within the utilities domain: extensive infrastructures developed in phases, strict safety and compliance requirements, continuous pressure to ensure public service continuity, and increasingly large volumes of technical data that are difficult to correlate. In this context, digitalization is no longer a future option, but a necessary condition for safe, efficient, and sustainable operations.
The Vestra SAMP.ai – Shared Reality platform introduces a paradigm shift by creating a Digital Twin built directly from real field conditions: a dynamic digital representation of physical infrastructure, continuously updated and connected to operational and maintenance data.
Across Romania, the solution is implemented by Vestra in projects dedicated to critical infrastructure and utility operators.
The platform transforms physical installations into an operational Digital Twin through a structured three-stage workflow — Explore, Enrich, and Unify — linking real‑world capture with existing technical data.
In the Explore stage, installations are captured using 3D laser scanning and 360° panoramic imagery, and point cloud data is processed with 3D Assetizer™ AI technology. This produces a navigable industrial environment where equipment can be remotely inspected, distances measured, and access conditions analyzed, providing an accurate as‑built representation.
During the Enrich stage, the model connects to CMMS/EAM systems and technical documentation. Equipment is tagged in 3D space, and technical parameters, maintenance history, and associated documents become accessible from a single location. An AI Copilot accelerates asset recognition and classification, enabling a unified source of truth.
In the Unify stage, P&ID diagrams and process schematics are correlated with the 3D model using 2D Assetizer™ AI. This enables rapid verification of consistency between as‑designed and as‑built states, reducing documentation validation time and increasing operational planning accuracy.
Unlike CAD/BIM models or static documentation, a Digital Twin built from real‑world capture offers a continuously updated, highly accurate representation usable directly in daily operational and maintenance workflows.
This consolidated digital environment replaces fragmented documentation and repeated on‑site inspections, allowing teams to prepare interventions more efficiently and reduce analysis time. Integration with CMMS/EAM systems ensures every asset is connected to its technical data, enabling coherent collaboration across departments.
Flow aspects in Shared Reality