Hermias Hendrikse, Global Industry Development Lead at Siemens Digital Industries Software, explores how physics-informed digital twins can connect engineering models, operational data and AI across an asset’s lifecycle. In “From Digital Twins to Decisions – Scaling Physics-Informed Industrial AI Across the Asset Lifecycle”, he focuses on turning information into decisions that teams can act on.
Using a battery facility as an example, Hermias shows how teams can simulate equipment, production processes and worker tasks before a facility is built. The engineering context created during design can then remain available in operation, giving different teams the information relevant to their work.
He follows that connection into maintenance. When equipment shows signs of a fault, a connected system can bring together its location, performance data, design history and work instructions. Teams can investigate the issue, involve the right people, create a work order and capture feedback from the field within the same workflow. This is where a digital twin can move beyond displaying information to helping people act on it.
Hermias also considers the challenge of scaling across existing assets with different models and established tools. He describes an open approach that connects useful information across systems, supported by controlled data, appropriate access and security as AI becomes part of operational workflows.
Watch the full presentation to see the visual examples and explore how simulation and connected asset information can support decisions from design through to maintenance.
Speaker
- Hermias Hendrikse, Global Industry Development Lead, Siemens Digital Industries Software
