Energy Conservation Smart Classroom System using IOT

Abstract

Numerous technologies, such as the Internet of Things, have significantly contributed to energy conservation in response to the increase in global energy consumption in many sectors, including industry, education, and transportation. This article explains how to set up an intelligent classroom system based on the Internet of Things that saves energy in the classroom. The proposed method estimates the energy consumption of an Internet of Things (IoT) device, a smart classroom, and the building using the proposed energy consumption and cost model in addition to providing real-time access to and control over IoT devices like lights, projectors, and air conditioning. Our system's effectiveness and benefits have been proven through real-world testing in a university classroom installed with computers. This paper discusses how the Internet of Things (IoT) can be used to develop a less expensive and energy-efficient device control system. Almost any electrical device can be operated using this method with little to no assistance from a person. When students are present in the classroom, an "IoT Based Energy Efficient Smart Classroom" system is intended to lessen the load on the power grid. The technology detects the presence of a person in a specific area and uses that information to control the operation of electrical devices (such as ON/OFF). The device can adjust to a person's immediate environment's temperature, humidity, and amount of light by using a Microsoft Kinect sensor. A DHT22 sensor and an LDR are connected to an Arduino AT Mega board to measure various environmental conditions. This system has sensors that can gather real-time information about the classroom environment. A web application is then updated using this data. The Node MCU IoT device sends all of its data to the host computer through the internet. Final testing of the system took place in a lab with four students and 80 test cases. Based on the statistics, the final prototype appears to be 98% accurate.