Adaptive Academic Buildings for Improving Comfort and Well-Being of College Students Using Artificial Intelligence of Things
Publication: Computing in Civil Engineering 2023
ABSTRACT
Academic buildings serve important roles for college students. Maintaining a comfortable built environment can benefit the well-being of college students and promote their performance and productivity. The most common way of maintaining a comfortable built environment is still highly manual and reactive; for example, students adjust the light levels when they have already had visibility issues. Existing Internet of Things (IoT)-based efforts facilitate real-time collection and analyzing indoor environmental quality (IEQ) data. However, they failed to incorporate feedback from students. To address this problem, this paper proposes the use of artificial intelligence of things (AIoT) technologies to support academic building operations that can automatically and proactively adapt to the comfort needs of college students. The proposed framework consists of three steps: (1) collecting indoor environment data using IoT, (2) gathering direct and indirect feedback data from students, and (3) developing a transformer-based model for analyzing and predicting IEQ conditions.
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Published In
Computing in Civil Engineering 2023
Pages: 1072 - 1079
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Adaptive systems
- Artificial intelligence and machine learning
- Buildings
- Colleges and universities
- Computer networks
- Computer programming
- Computing in civil engineering
- Data analysis
- Data collection
- Education
- Engineering fundamentals
- Internet
- Methodology (by type)
- Practice and Profession
- Research methods (by type)
- Structural engineering
- Structures (by type)
- Students
- Systems engineering
- Systems management
Authors
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