Automatic Indoor Thermal Comfort Monitoring Based on BIM and IoT Technology
Author(s): |
Wenli Liang
Guofeng Qiang Lei Fan Haoyu Zhang Zihao Ye Shu Tang |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 22 October 2024, n. 11, v. 14 |
Page(s): | 3361 |
DOI: | 10.3390/buildings14113361 |
Abstract: |
Building Information Modeling (BIM) and Internet of Thing (IoT) integration technologies can improve operational efficiency in the operational phase of construction projects. Currently, research on the integration of BIM and IoT has yet to ensure secure data transmission and lacks real-time data processing capabilities. This study builds a framework to collect and analyze BIM and IoT data in real time. The framework is verified to be effective through a case study in an office building. The monitoring system can automatically calculate the Predicted Mean Vote (PMV) value, upload and update real-time temperature and humidity data, and visualize thermal comfort through heat maps. The proposed integration approach offers building management strategies to enhance thermal comfort in office environments, fostering a more inclusive and accommodating workspace that acknowledges the diverse cultural backgrounds of occupants. |
Copyright: | © 2024 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10804951 - Published on:
10/11/2024 - Last updated on:
25/01/2025