Citation

Nila, Farzana Sharmin and Tan, Wooi Haw and Ooi, Chee Pun and Tan, Yi Fei (2024) IoT-Based Embedded System for Streamlined Thermal Comfort Data Collection in Buildings. International Journal of Integrated Engineering, 16 (3). pp. 78-91. ISSN 2229-838X

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Abstract

Thermal comfort refers to the process of determining a pleasant working temperature by considering various environmental, occupational, and personal factors. With the widespread adoption of Internet of Things (IoT) technologies, there is a potential to develop an IoT-based embedded system that directly integrates sensor data with building information to collect the necessary environmental factors for thermal comfort. This paper outlines the development and implementation of an embedded system for remote temperature monitoring, which gathers data such as temperature and humidity using sensors installed within the building and transmits this information to the cloud in real-time via a private Message Queuing Telemetry Transport (MQTT) server. An IoT-based embedded system makes the data collection process more efficient, automated, and integrated, which ultimately leads to a faster and smoother experience in gathering and processing the necessary information to optimize thermal comfort. Following data collection, a machine learning model may be trained using the acquired data to automatically adjust the thermal comfort level in the building, improving overall comfort and energy efficiency

Item Type:	Article
Uncontrolled Keywords:	IoT, embedded system, data collection, thermal comfort, MQTT
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	31 May 2024 07:45
Last Modified:	31 May 2024 07:45
URII:	http://shdl.mmu.edu.my/id/eprint/12515

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