Air Quality Monitoring System Based on Artificial Intelligence

Abstract

AbstractIn present-day life, quality of air is reducing day by day which leads to environmental issues and also damaging public health with harmful gases present in the air where the ecosystem is affected. The implementation of a cost-efficient system that controls the air pollutants in a large area is a challenging task. Therefore, this paper suggests a portable air quality measurement unit. Most of the harmful gases are released from industries and vehicles. Internet of things (IoT) plays an important role in the monitoring of air quality. We measure the quality of air using an mq135 sensor with also carbon oxide using mq7. Measuring the air quality is important for bringing awareness to the people for taking care of future generations for their health. Based upon the review, Government of India has taken some measures to ban single stroke and two-stroke engine motorcycles which are causing high pollution. Although New Delhi remarked as the most polluted city comparing with other cities in the world which as recorded air quality above 300 ppm. IoT is used for clouded computing where it is used for collecting data from different sensors. We are using artificial intelligence to predict the future data from the collection in the database. The data collected at the cloud application can be processed by using data analytics and artificial intelligence (AI). After knowing the future predicted data, we can be alert and take precautionary measures and keep the indoor air quality as good as possible. We have used the support vector machine algorithm which is popularly known as SVM. It is also famously known as supervised machine learning. Satisfactory alternatives based on different conditions are generated by using the proposed model. The proposed method focuses on air pollutant control with IoT and AI in combination with the SVM algorithm.KeywordsRaspberry PiSVM algorithmCloud computingAir monitoringArtificial intelligence