설명
We can now use operational digital twins to apply the past, present, and future conditions at the level of the asset to solve key problems and meet objectives for water networks and plants. With Autodesk's Info360 platform, trust in these systems has reached a point where simulated predictive "what-if" scenarios actively support responses to planned and emerging incidents with real-time artificial intelligence (AI) recommendations informing the optimization of networks and plants. The technological focus of this industry talk will be on operational digital-twin use cases. With a goal to reduce water loss to 10% by 2030, Water Corporation of Western Australia uses data-driven models to understand pressure and flow management with live physics-based models for pressure optimization. North American utility's water treatment plant optimizes chemical costs while maintaining compliance with predictive AI, achieving a 13% savings (US$170,000) in ferric costs while meeting turbidity discharge compliance limits.
주요 학습
- Discover the ROI of operational digital twins for the water industry.
- Learn about collaborating with operational analytics and AI for problem-solving.
- Learn about your journey to adoption of water digital twins.
- Learn about integrating your multiple data models for use across your organization.
발표자
Nathan GerdtsNathan Gerdts is product manager in the Water Infrastructure team focusing on Water Distribution products. Nathan has lead implementation projects and advised in sales with Innovyze for 9 years, spanning model building to real-time operational modeling.
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