An Intelligent IoT-Enabled Temperature-Based Fan Speed Control Framework for Energy-Efficient Smart Environments

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Authors: Assistant Professor Srikanth Kilaru, Akireddy Bhargavi, Vadlamudi Bhavitha, Neelam Jyothir Mahitha, Chaparapu Meghana Reddy

Abstract: Smart homes play a crucial role in reducing the amount of energy consumed in the house as the automatic control is also provided. This paper suggested an IoT-based temperature-based fan control system, which is an automatic fan control system that is operated by the temperature in the surrounding. This system contains a LM35 sensor of temperature to detect the temperature with accuracy and the DHT11 sensor to monitor the temperature and humidity in real time. The sensor information is handled in a microcontroller with an ESP8266 Wi-Fi chip that enables the sensor to access the internet easily and visualize the obtained air quality on the cloud. The DC motor speed of the fan is regulated by the Pulse Width Modulation (PWM) which enables your motherboard to provide only the necessary cooling when required. The automatic speed control system makes it non-manually based and the operator is given a pleasant working experience. It has been experimentally established that the proposed variable-speed cooling system

DOI: https://doi.org/10.5281/zenodo.20648914

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