BIM- and IoT-based monitoring framework for building performance management

Journal of Structural Integrity and Maintenance, 2018

Recommended citation: Kang, K., Lin, J.* and Zhang, J. (2018). "BIM- and IoT-based monitoring framework for building performance management" Journal of Structural Integrity and Maintenance. 3(4): 254-261. https://doi.org/10.1080/24705314.2018.1536318

Abstract

During the operation and maintenance period of buildings, a monitoring system established to monitor the internal environment can be very helpful to ensure that buildings are in good condition. However, the existing monitoring systems still need improvements in data interoperability and smart sensing. This paper established a new monitoring framework based on Building Information Modeling (BIM) and IoT (Internet of Things) Technology. In this proposed framework, BIM is used to maintain the 3D data of the building, while a time-series database called In fl uxDB is introduced for storage of monitoring data. Then, a monitoring server based on Message Queuing Telemetry Transport protocol is established, providing a low-cost and reliable communication. Meanwhile, Arduino microcontrollers with some sensors are adopted as the nodes of the monitoring network, aiming to collect real-time data of the environment and upload the data to the server. Finally, a prototype system is developed to demonstrate the proposed framework. Testing of the developed system and corresponding IoT sensors shows that combination of BIM and IoT technology provides a comprehensive view of the status of the buildings and improves the e ffi ciency of information utilization.

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Recommended citation: Kang, K., Lin, J.* and Zhang, J. (2018). "BIM- and IoT-based monitoring framework for building performance management" Journal of Structural Integrity and Maintenance. 3(4): 254-261.

This work was supported by the National Key R&D Program of China [2017YFC0704200] and Young Elite Scientists Sponsorship Program by CAST [QNRC2016001].

Accession Number: WOS:000456978500007

ISSN: 2470-5314

eISSN: 2470-5322

IDS Number: HJ2EJ

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