Air Pollution Monitoring System For Various Cities Using Cloud Computing And The Internet Of Things

Abstract

Air pollution occurs when there are concentrations of hazardous substances, also referred to as pollutants, in the atmosphere, which have the potential to cause damage to ecosystems, human health, and the environment. These contaminants might exist in the form of gasses, particles, or biological agents. India's main cities have a significant number of companies, power plants, and factories leads to air pollution.  However, without an awareness of the amount of damage caused by pollution, it may be impossible to implement such rules and regulations. As a result, the purpose of this project is to develop an Artificial Intelligence (AI) and Internet of Things (IoT) design with cloud storage to monitor the level of air pollution in various cities. For AI, three different models Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Artificial Neural Network (ANN). For input data Particulate Matter (PM) sensors, CO2 sensors, radiation sensors, and visible dust sensors were all used in this investigation. The sensors are linked into a circuit, which is distributed throughout India. AI model is developed using Tensorflow and based on the accuracy the best model is also integrated with the developed system of sensors and microcontrollers. To make this process easier for everyone to access and understand, a website is also developed. This website allows users to select a particular city or even add a new one. When the city is selected, the values of the parameters recorded from the sensors are displayed along with the level of air pollution. When one of the parameters exceeds the desired range, the website sends an alert notification to alert the officials about this. This process makes it easier for the officials to act accordingly and reduce the impact of pollution.