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RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach
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Orientador(es)
Resumo(s)
The integration of smart technologies into residential spaces has opened new possibilities for enhancing user comfort and energy efficiency. This paper presents the development of a smart climate control system for student residences, leveraging RFID (Radio Frequency Identification) technology and a mobile application to personalize environmental settings based on individual user preferences and presence. In this system, each room is equipped with an RFID tag that uniquely identifies its location. Students use a dedicated smartphone application to scan the tag upon entering the room, which not only validates their presence but also triggers a personalized temperature setting. The application allows students to adjust their preferred temperature settings, enabling the system to learn individual routines and comfort preferences over time. At the core of the solution is an autonomous learning module that uses the collected data to predict occupancy patterns and automatically manage the room's climate. When a student is detected, the system adjusts the temperature to their preferred setting; when the room is unoccupied, it reduces energy consumption by entering an eco-mode. This dynamic approach aims to balance user comfort with energy efficiency. The architecture of the system includes RFID-based room identification, a low cost raspberry that acts as local server, a mobile interface for user interaction, and a centralized control system that handles data analysis and actuator management. The paper details the design, implementation, and testing of the platform, as well as the benefits of combining location-awareness, user input, and intelligent automation. This project demonstrates a scalable and user-centric model for smart climate control in shared residential settings, contributing to sustainable energy management and improved quality of life in student housing environments.
Descrição
Palavras-chave
AmI Energy-Efficiency RFID Smart-Climate-Control User-Preferences
Contexto Educativo
Citação
Paulo, F.; Oliveira, P. F.; Matos, P. (2025). RFID-Based Smart Climate Control in Student Residences: A Personalized and Energy-Efficient Approach. In 11th International Conference on Engineering and Emerging Technologies, ICEET. Institute of Electrical and Electronics Engineers Inc. ISBN 979-833156755-2. p. 1-3.
Editora
Institute of Electrical and Electronics Engineers Inc.