About this Environmental Science article
Computer vision-based smart HVAC control system for university classroom in a subtropical climate by Haifeng Lan; Huiying (Cynthia) Hou; Zhonghua Gou; Man Sing Wong; Zhe Wang is a Environmental Science article available to read on EtoBox.
To respond to the increasing demand for a comfortable, productive and energy efficient study environment, the application of artificial intelligence technologies in the smart control of Heating, ventilation, and air conditioning (HVAC) systems plays an increasingly important role. This research uses a classroom, equipped with a traditional central HVAC system, in Hong Kong as a case study to demonstrate an innovative approach for a more intelligent and efficient HVAC system. Through a field investigation (i.e. measurement and questionnaire) and Computational Fluid Dynamics (CFD) simulation, it is found that the number and spatial location of students have a significant impact on their thermal comfort. Applying a computer vision model (YOLOv5) detected dynamic occupant information (variations in student numbers and locations) in a classroom, the SimScale (a cloud-native simulation platform) was then used to estimate the current thermal comfort state (predicted mean vote, PMV) and change in PMV (ΔPMV) of students in the classroom. Furthermore, a fuzzy logic control system is implemented to adjust air temperature and air velocity based on the simulation results. Preliminary scenario a
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Haifeng Lan; Huiying (Cynthia) Hou; Zhonghua Gou; Man Sing Wong; Zhe Wang
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Environmental Science (Physical Sciences)