SEDIF Digitizes Its Drinking Water Network with 3D and AI

SEDIF, the public utility supplying drinking water to 4 million people across seven departments in Île-de-France, is creating a digital twin of its extensive network-covering nearly 8,000 km of pipelines and three major production plants.

Partnering with Franciliane (Veolia) and Samp, the project uses 3D scanning and AI to capture every valve, pump, and instrument, connecting them to existing plans and the CMMS. All data is centralized on Samp’s Shared Reality platform, enabling accurate, real-time insights for operations and maintenance.

Read the full original article in French from Le Moniteur

More to explore

Webinar: Automated Spatial Tagging

Discover how Shared Reality helps you visually isolate piping circuits and corrosion loops instantly, bridging the gap between engineering data and field execution.

A Reality-Based Evolution for RBI and Process Safety Management

In brownfield refining, petrochemical, chemical, and offshore processing facilities, maintaining dedicated “inspection isometrics” represents one of the most resource-draining, error-prone overheads in Asset Integrity Management (AIM). For decades, plant operators have treated 2D Computer-Aided Design (CAD) piping isometric drawings as the mandatory medium for mapping Condition Monitoring Locations (CMLs), defining corrosion loops, and executing Risk-Based Inspection (RBI) workflows under API 570 and API 580/581.

Scroll to Top
Logo Samp