Research on the Development of a Building Model Management System Integrating MQTT Sensing

Existing building management systems face critical limitations in real-time data integration, primarily relying on static models that lack dynamic updates from IoT sensors. To address this gap, this study proposes a novel system integrating MQTT over WebSocket with Three.js visualization, enabling real-time sensor-data binding to Building Information Models (BIM). The architecture leverages MQTT's lightweight publish-subscribe protocol for efficient communication and employs a TCP-based retransmission mechanism to ensure 99.5% data reliability in unstable networks. A dynamic topic-matching algorithm is introduced to automate sensor-BIM associations, reducing manual configuration time by 60%. The system's frontend, powered by Three.js, achieves browser-based 3D visualization with sub-second updates (280-550 ms latency), while the backend utilizes SpringBoot for scalable service orchestration. Experimental evaluations across diverse environments-including high-rise offices, industrial plants, and residential complexes-demonstrate the system's robustness: Real-time monitoring: Fire alarms triggered within 2.1 s (22% faster than legacy systems). Network resilience: 98.2% availability under 30% packet loss. User efficiency: 4.6/5 satisfaction score from facility managers. This work advances intelligent building management by bridging IoT data with interactive 3D models, offering a scalable solution for emergency response, energy optimization, and predictive maintenance in smart cities.

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Publication Details

Journal
Sensors
Published
2025-10-02
DOI
https://doi.org/10.3390/s25196069
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
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article

Research on the Development of a Building Model Management System Integrating MQTT Sensing

Liming Zhou, Ziang Wang, Changsheng Guan, Xiao Han et al.
1 citations
Sensors
IoT and Edge/Fog Computing
1.49
article

Research on the Development of a Building Model Management System Integrating MQTT Sensing

Liming Zhou, Ziang Wang, Changsheng Guan, Xiao Han, Daiguang Fu
article en
1 citations

Abstract

Existing building management systems face critical limitations in real-time data integration, primarily relying on static models that lack dynamic updates from IoT sensors. To address this gap, this study proposes a novel system integrating MQTT over WebSocket with Three.js visualization, enabling real-time sensor-data binding to Building Information Models (BIM). The architecture leverages MQTT's lightweight publish-subscribe protocol for efficient communication and employs a TCP-based retransmission mechanism to ensure 99.5% data reliability in unstable networks. A dynamic topic-matching algorithm is introduced to automate sensor-BIM associations, reducing manual configuration time by 60%. The system's frontend, powered by Three.js, achieves browser-based 3D visualization with sub-second updates (280-550 ms latency), while the backend utilizes SpringBoot for scalable service orchestration. Experimental evaluations across diverse environments-including high-rise offices, industrial plants, and residential complexes-demonstrate the system's robustness: Real-time monitoring: Fire alarms triggered within 2.1 s (22% faster than legacy systems). Network resilience: 98.2% availability under 30% packet loss. User efficiency: 4.6/5 satisfaction score from facility managers. This work advances intelligent building management by bridging IoT data with interactive 3D models, offering a scalable solution for emergency response, energy optimization, and predictive maintenance in smart cities.

SensorsVol. 25(19)
Wuhan University of Technology (CN), Changjiang Water Resources Commission (CN), Ministry of Water Resources of the People's Republic of China (CN)
Openalex Percentile: Top 13%
IoT and Edge/Fog Computing
1.49
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