The industrial sector faces chronic challenges rooted in fragmented, outdated technical documentation, creating significant risks and costs in asset management, maintenance, and modernization projects. Industry addresses this through its AI-powered "Shared Reality" digital twin platforms, designed specifically for sensitive industrial sites in the water, energy, and utility sectors.
Digital Twins are playing a pivotal role in advancing both engineering design and reducing the start-up time with expert operator systems, helping to create operational efficiency and trained the next generation of workforce.
The session will show how digital twins provide a realistic, operator-centric training environment that mirrors actual plant conditions to train operators and optimize procedures and tasks and empower subject matter experts to validate and optimize system performance during the detailed engineering phase.
Innovative open digital twin ecosystems are emerging that utilize advanced 3D scanning and machine learning to merge the real-time physical state of an asset with its technical data (diagrams, specifications) to creates a constantly synchronized, highly accurate, and visually intuitive 3D experience.