An Extended IoT Model for Smart Temperature and Humidity Control and Monitoring System: A Case Study of University of Kigali Classrooms

This study presents an advanced IoT model for managing and monitoring temperature and humidity in classrooms at the University of Kigali. The system addresses two critical issues: reducing unnecessary energy consumption caused by human error (such as forgetting to turn off fans) and creating an optimal learning environment by maintaining ideal temperature and humidity levels. By automating temperature control and providing real-time monitoring through IoT technologies, the system ensures both accuracy and reliability. The setup includes several components, with the NodeMCU microcontroller serving as the central processing unit. It connects to a DHT sensor for temperature and humidity readings, a fan, and a 220V heater through a relay module, enabling efficient control. An LCD screen displays current environmental data, while the Blynk app allows for remote management and monitoring of sensor values. The system operates automatically based on class schedules stored in a MySQL database, ensuring it runs only during class hours. An SMS gateway (Mista.io) alerts operators to any potential system failures when temperature or humidity exceeds predefined thresholds. Sensor data is collected in real-time and sent to the MySQL database via the NodeMCU. Operators can manage class schedules, monitor system performance, and view environmental data through a web interface. The platform provides an intuitive way to analyze trends in sensor data, allowing for well-informed decisions regarding temperature control. The system not only ensures a productive learning environment but also reduces operational costs, offering a sustainable solution for classroom comfort and energy management. It demonstrates how IoT technologies can enhance traditional systems to create smarter, more effective solutions for educational settings.