Smart Governance of Building Fire Extinguishing Systems Enabled by Acoustic Imaging & Mixed Reality Inspection

This paper proposes a smart governance framework for building fire extinguishing systems, integrating acoustic imaging & mixed reality to resolve inefficiencies in traditional inspection and fault diagnosis. The framework employs a three-layer architecture - comprising multi-modal data collection, data middle platform and intelligent inspection. The data middle platform functions as the central hub, integrating multi-modal data including system configurations, spatial models, static attributes, and dynamic attributes. The inspection management, encompassing both acoustic imaging and mixed reality modules, connects data middle platform to retrieve processed data and sync inspection records, enabling bidirectional data flow for seamless operational coordination. Acoustic imaging enables non-invasive, spatial monitoring by converting acoustic signals into visual fault maps, accurately detecting hidden anomalies such as fire pump bearing wear, gas leaks. The MR module, utilizing HoloLens 2 and YOLOv8 model (82.2% mAP and 87.4% detection accuracy), achieves virtual-physical fusion through multi-modal interaction. This supports intelligent inspection guidance, digital twin mapping, and real-time interaction. This research provides a scalable solution for smart fire safety governance, enhancing inspection efficiency and fault diagnosis precision.