Internet of Things Enabled Air Quality Monitoring System
C. S. Sundar Ganesh, V Akshaya Prasaath, A. Arun, M Bharath, E Kanagasabapathy
Abstract
One of significant environmental challenge is global air pollution. A multitude of variables, including population expansion, increased vehicle use, industrialization, and urbanization have led to the increasing pollution levels over time. This have a detrimental effect on human wellbeing by affecting the health of people exposed to it. Air quality deteriorates when dangerous chemicals including carbon dioxide, smoking, alcohol, benzene, NH3, and NO2 are present in sufficient quantities in the atmosphere. In order to analyze the Air Quality, this study attempts to develop an IOT-Based pollution monitoring system, which tracks the pollution level by using an internet server. Current monitoring systems require laboratory analysis and results in poor precision and sensitivity. As a result, better monitoring methods are required. This study suggests a three phase pollution monitoring method to overcome the challenges faced by the existing systems. On the LCD and application, the air quality will be shown in terms of PPM to track easily. With the help of the proposed IoT model, the pollution level can be monitored from anywhere and at any time by using a smart phone. The advantages include real-time monitoring and long-term analysis, while the disadvantages include limited coverage area and interpretation challenge.