JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v10i2.14336ArticleLLM-Empowered Sensor Data Analytics and Interactive Digital Twin for Building Facility Managementhttps://artdesignp.com/journal/JERA/10/2/10.26689/jera.v10i2.14336YangTianlun,ChenRong,TanHaojie,KapogiannisGeorgios,KangByung-Gyoo20261022026-03-31This study proposes an LLM-empowered edge-cloud digital twin architecture for intelligent FM. Edge servers acquire and pre-process sensor data, with Flask-based cloud middleware aggregating into hybrid data storage. The LLM performs semantic reasoning to generate operational decisions, relaying insights in real time to a Unity-engineered 3D visualization environment. BIM semantic parsing segregates geometric from non-graphical attributes, integrating multi-source data at room-floor granularity to establish a “perception-analysis-decision-execution” closed loop, thereby enhancing situational awareness and decision support for facility managers.

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