Abstract
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.
Highlights
With the increasing proportion of building energy consumption, the reasonable and efficient prediction has gradually attracted the attention of the industry
Cutting-edge technologies based on big data, cloud computing, machine learning, and artificial intelligence algorithms are combined with traditional architectural design theories
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Summary
With the increasing proportion of building energy consumption, the reasonable and efficient prediction has gradually attracted the attention of the industry. Under the influence of the development trend of new-generation information technology, using intelligent methods to predict building energy consumption has been widely used. Building energy consumption is an interdisciplinary research direction consisting of multiple influencing factors. As the proportion of building energy consumption is increasing, reasonable and efficient building energy prediction is gradually concerned. The comfort of the human living environment is a major concern of society after entering the information technology era. With people’s increasing satisfaction to indoor life and activities, how to improve the life quality of building occupants and build a suitable living environment is a problem that is valued in the technical field. The IoT hardware plays an important role in forming a good indoor thermal and humid environment
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