Investigating Thermal Comfort For The Classroom Environment Using Iot With Raspberry Pi

This project investigates thermal comfort in classroom environments using Internet of Things (IoT) technology, with a focus on automation and real-time monitoring. The system leverages a Raspberry Pi to integrate various sensors, including a DHT11 sensor for temperature measurement. If the temperature exceeds a predefined threshold, a CPU fan is activated automatically to maintain a comfortable environment. Additionally, an LDR (Light Dependent Resistor) sensor is employed to monitor the intensity of light in the classroom; if the light intensity falls below a set level, the system triggers the lights to turn on, ensuring proper illumination. The use of an ultrasonic sensor helps track the number of students entering and exiting the room, providing insights into classroom occupancy. Through these integrated systems, the project aims to enhance the overall thermal comfort and energy efficiency of the classroom environment by automating temperature, lighting, and occupancy control, thereby creating a smarter and more efficient learning space.