Air Quality System Using IoT for Indoor Environmental Monitoring

Abstract

Air pollution is one of the big problems that most countries suffer from. Being at risk of poor air quality can cause many diseases such as asthma, lung cancer, and chronic obstructive. There is no doubt that the elderly or patients, who spend most of their time at home, need more attention and care than the current case. For this reason monitoring indoor physical parameters will help to manage and increase the comfort level of human life. Drawing upon extant literature, a new indoor web based system is developed. The proposed system will tackle the problems of abnormal changes in the level of air quality through proposing units designed in a level model to collect, manage and process sensory data of indoor environmental parameters. Moreover, the proposed system monitors indoor environment parameters in two different manners, including a real-time and long term manner. CPT+ model is proposed here used to predict the air pollutant levels of the next day. The preliminary result of the proposed system is satisfactory in terms of the accuracy of outcome found.