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AI Eats Building-Performance Simulation for Breakfast

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    Description

    These days, you can use software like Revit MEP software, Dynamo, Python, Forge, and Insight360 to create highly detailed analytical simulation models as the basis for high-quality MEP planning. Frequently, however, the simulation results and operation profiles aren’t transferred to building operation, which leads to a significant performance gap. This industry talk will provide insight into the evolution of building performance simulations for practical use and as a basis for training AI-based HVAC controllers using pattern recognition—which will revolutionize the way building engineering is planned—in BIM2Field (building automation and building performance simulation) and in BIM2FM, using digital twins and linked IoT (Internet of Things).

    Principaux enseignements

    • Further develop visions for the long-term orientation of business models, including IoT, ML, AI, and simulations
    • Learn how to design strategies to implement new processes for the integration of building performance simulations into everyday work
    • Discover concrete measures to improve existing processes and methods of energy analysis in HVAC engineering
    • Learn how to formulate skills and requirements for future employees to develop or build a specialist team in your company

    Étiquettes

    Produit
    Revit
    Insight
    Forge
    Dynamo
    Tandem
    Secteurs d'activité
    Architecture
    Structural engineering
    MEP engineering
    Thèmes
    Business Manager
    Simulation & Analysis
    Building Operations
    Facilities Management
    Building Information Modeling (BIM)
    Energy and Environmental Analysis
    Whole Building Energy Analysis
    Data Management
    Technology Management
    Automation, Integration, & Customization
    Desktop APIs / SDK
    Software Training
    Internet of Things (IoT)
    Software Development