IoT Open-Source Architecture for the Maintenance of Building Facilities

Applied Sciences

卷:11

Berardo Naticchia¹  Giulia Bruno²  Dario Antonelli²  Valentina Villa³  Khurshid Aliev³  Paolo Piantanida³ 

[1] Department of Construction, Civil Engineering and Architecture, Marche Polytechnic University, 60121 Ancona, Italy;

[2] Department of Management and Production Engineering, Polytechnic of Turin, 10129 Turin, Italy;

[3] Department of Structural, Geotechnical and Building Engineering, Polytechnic of Turin, 10129 Turin, Italy;

关键词: digital twin;    facility management;    building information modeling;    HVAC;    fan coil;    Internet of Things;   

DOI  :  10.3390/app11125374

来源: DOAJ

【 摘 要 】

The introduction of the Internet of Things (IoT) in the construction industry is evolving facility maintenance (FM) towards predictive maintenance development. Predictive maintenance of building facilities requires continuously updated data on construction components to be acquired through integrated sensors. The main challenges in developing predictive maintenance tools for building facilities is IoT integration, IoT data visualization on the building 3D model and implementation of maintenance management system on the IoT and building information modeling (BIM). The current 3D building models do not fully interact with IoT building facilities data. Data integration in BIM is challenging. The research aims to integrate IoT alert systems with BIM models to monitor building facilities during the operational phase and to visualize building facilities’ conditions virtually. To provide efficient maintenance services for building facilities this research proposes an integration of a digital framework based on IoT and BIM platforms. Sensors applied in the building systems and IoT technology on a cloud platform with opensource tools and standards enable monitoring of real-time operation and detecting of different kinds of faults in case of malfunction or failure, therefore sending alerts to facility managers and operators. Proposed preventive maintenance methodology applied on a proof-of-concept heating, ventilation and air conditioning (HVAC) plant adopts open source IoT sensor networks. The results show that the integrated IoT and BIM dashboard framework and implemented building structures preventive maintenance methodology are applicable and promising. The automated system architecture of building facilities is intended to provide a reliable and practical tool for real-time data acquisition. Analysis and 3D visualization to support intelligent monitoring of the indoor condition in buildings will enable the facility managers to make faster and better decisions and to improve building facilities’ real time monitoring with fallouts on the maintenance timeliness.

【 授权许可】

Unknown