Keywords
LLM
Facility management
Submitted : 2026-03-04
Accepted : 2026-03-19
Published : 2026-04-03
Abstract
This 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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