AI-empowered Digital Twin for Smart Building Management

Principle Investigator:
Prof. XIAO Fu, Associate Dean, Faculty of Construction and Environment and Professor, Department of Building Environment and Energy Engineering

The building sector is the largest contributor to global energy demand and greenhouse gas emissions, significantly impacting climate change. Advanced technologies such as artificial intelligence (AI), digital twin (DT), the Internet of Things (IoT), and augmented/mixed reality (AR/MR) are transforming building operations. An innovative AI-powered digital twin management platform offers a transformative approach to smart building management. It optimises energy efficiency, reduces carbon emissions and enables predictive maintenance, all while ensuring optimal indoor comfort and air quality.

By seamlessly integrating DT, AI, IoT and AR/MR technologies, our platform provides real-time operational insights that empower building managers to make informed decisions. It has achieved over 20% energy savings in long-term trials, from single buildings to building clusters.

Designed for desktop and MR devices, the platform will soon expand to mobile, setting a new benchmark in sustainable building management.