Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI
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 intellig...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-02-01
|
| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/12/2/30 |
| _version_ | 1828415397833998336 |
|---|---|
| author | Yafei Zhao Paolo Vincenzo Genovese Zhixing Li |
| author_facet | Yafei Zhao Paolo Vincenzo Genovese Zhixing Li |
| author_sort | Yafei Zhao |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T13:44:07Z |
| format | Article |
| id | doaj.art-6b1d525995dd4a13964106ba39979696 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-12-10T13:44:07Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-6b1d525995dd4a13964106ba399796962022-12-22T01:46:30ZengMDPI AGFuture Internet1999-59032020-02-011223010.3390/fi12020030fi12020030Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AIYafei Zhao0Paolo Vincenzo Genovese1Zhixing Li2School of Architecture, Tianjin University, Tianjin300072, ChinaSchool of Architecture, Tianjin University, Tianjin300072, ChinaSchool of Architecture, Tianjin University, Tianjin300072, ChinaWith 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.https://www.mdpi.com/1999-5903/12/2/30internet of thingsthermal comfortcontrol systemenergy consumptionartificial intelligence |
| spellingShingle | Yafei Zhao Paolo Vincenzo Genovese Zhixing Li Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI Future Internet internet of things thermal comfort control system energy consumption artificial intelligence |
| title | Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI |
| title_full | Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI |
| title_fullStr | Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI |
| title_full_unstemmed | Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI |
| title_short | Intelligent Thermal Comfort Controlling System for Buildings Based on IoT and AI |
| title_sort | intelligent thermal comfort controlling system for buildings based on iot and ai |
| topic | internet of things thermal comfort control system energy consumption artificial intelligence |
| url | https://www.mdpi.com/1999-5903/12/2/30 |
| work_keys_str_mv | AT yafeizhao intelligentthermalcomfortcontrollingsystemforbuildingsbasedoniotandai AT paolovincenzogenovese intelligentthermalcomfortcontrollingsystemforbuildingsbasedoniotandai AT zhixingli intelligentthermalcomfortcontrollingsystemforbuildingsbasedoniotandai |