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Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI

School of Architecture, Tianjin University, Tianjin300072, China
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Future Internet 2020, 12(2), 30; https://doi.org/10.3390/fi12020030
Received: 31 December 2019 / Revised: 6 February 2020 / Accepted: 7 February 2020 / Published: 10 February 2020
(This article belongs to the Special Issue Internet of Things and Ambient Intelligence)
With the improvement of technologies, people's demand for intelligent devices of indoor and outdoor living environments keeps increasing. However, the traditional control system only adjusts living parameters mechanically, which cannot better meet the requirements of human comfort intelligently. This article proposes a building intelligent thermal comfort control system based on the Internet of Things and intelligent artificial intelligence. Through the literature review, various algorithms and prediction methods are analyzed and compared. The system can automatically complete a series of operations through IoT hardware devices which are located at multiple locations in the building with key modules. The code is developed and debugged by Python to establish a model for energy consumption prediction with environmental factors such as temperature, humidity, radiant temperature, and air velocity on thermal comfort indicators. By using the simulation experiments, 1700 data sets are used for training. Then, the output PMV predicted values are compared with the real figure. The results show that the performance of this system is superior to traditional control on energy-saving and comfort.
Keywords: Internet of Things; thermal comfort; control system; energy consumption; artificial intelligence Internet of Things; thermal comfort; control system; energy consumption; artificial intelligence
MDPI and ACS Style

Zhao, Y.; Genovese, P.V.; Li, Z. Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI. Future Internet 2020, 12, 30.

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