TY - GEN
T1 - An Intelligent Cyber-Physical System Integrating Large Language Models (LLMs), IoT Wireless Sensor Networks, and Augmented Reality (AR) for Real-Time Indoor Environmental Quality Improvement and Automated HVAC Control in Smart Buildings
AU - Mohammadi, Mohsen
AU - Poudel, Oscar
AU - Assaad, Rayan H.
AU - Awada, Mohamad
AU - Assaf, Ghiwa
N1 - Publisher Copyright:
© ASCE.
PY - 2025
Y1 - 2025
N2 - The integration of emerging technologies can revolutionize human-building interaction, particularly in enhancing HVAC control interfaces. This paper presents an innovative cyber-physical system (CPS) integrating IoT sensors, augmented reality (AR), and large language models (LLMs). The proposed CPS enables users to interact with building facilities through voice commands and query recommendations on adjusting HVAC systems to achieve desired thermal comfort. The CPS employs an IoT-enabled wireless sensor network to collect real-time thermal comfort parameters which are then visualized in an AR environment, providing users with an interactive interface for monitoring and controlling indoor conditions. By incorporating LLMs, the CPS facilitates natural language interaction, empowering users with intuitive means of managing thermal comfort and HVAC operations. The developed CPS supports sustainable building management by optimizing energy consumption to achieve real-time, user-driven thermal comfort. This work sets the foundation for intelligent, adaptive, and user-centric building CPSs that connect advanced technologies and human needs.
AB - The integration of emerging technologies can revolutionize human-building interaction, particularly in enhancing HVAC control interfaces. This paper presents an innovative cyber-physical system (CPS) integrating IoT sensors, augmented reality (AR), and large language models (LLMs). The proposed CPS enables users to interact with building facilities through voice commands and query recommendations on adjusting HVAC systems to achieve desired thermal comfort. The CPS employs an IoT-enabled wireless sensor network to collect real-time thermal comfort parameters which are then visualized in an AR environment, providing users with an interactive interface for monitoring and controlling indoor conditions. By incorporating LLMs, the CPS facilitates natural language interaction, empowering users with intuitive means of managing thermal comfort and HVAC operations. The developed CPS supports sustainable building management by optimizing energy consumption to achieve real-time, user-driven thermal comfort. This work sets the foundation for intelligent, adaptive, and user-centric building CPSs that connect advanced technologies and human needs.
UR - https://www.scopus.com/pages/publications/105031085851
UR - https://www.scopus.com/pages/publications/105031085851#tab=citedBy
U2 - 10.1061/9780784486436.105
DO - 10.1061/9780784486436.105
M3 - Conference contribution
AN - SCOPUS:105031085851
T3 - Computing in Civil Engineering 2025: Computational and Intelligent Technologies - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2025
SP - 980
EP - 989
BT - Computing in Civil Engineering 2025
A2 - Jafari, Amirhosein
A2 - Zhu, Yimin
PB - American Society of Civil Engineers (ASCE)
T2 - ASCE International Conference on Computing in Civil Engineering, i3CE 2025
Y2 - 11 May 2025 through 14 May 2025
ER -