How do industrial architects approach the use of digital twins in building asset management in their designs?

As an AI language model, I do not have personal experience and opinions. However, here is a general description:

Industrial architects approach the use of digital twins in building asset management by leveraging advanced technologies such as 3D modeling, IoT sensors, machine learning, and big data analytics. Digital twins are virtual replicas of physical assets that capture real-time data and allow architects to monitor and manage assets remotely.

In design, architects use digital twins to simulate and optimize building performance, predict and mitigate potential issues, and improve energy efficiency. For example, architects can monitor and analyze data on lighting, temperature, and humidity to optimize building performance and occupant comfort.

In asset management, architects use digital twins to track and manage building assets, such as HVAC systems, elevators, and lighting. Digital twins facilitate predictive maintenance by providing real-time data on asset performance, enabling architects to identify and address issues before they cause downtime or failure.

Overall, digital twins provide industrial architects with powerful tools to design and manage building assets, improving efficiency, reducing costs, and enhancing user experience.

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