Smart Air Quality Monitoring And Controlling System

Abstract

The development of a good significant system nowadays requires a real-time air monitoring system, measuring Air Quality is an essential element in raising public awareness about the importance of ensuring a healthy future for future generations which have attracted tremendous research interest over the past several decades. The paper describes a system for analyzing the quality of the environment through a combination of Embedded and Artificial Intelligence methods systems. The system's use is covered in the following two phases: first one is air monitoring phase, secondly is air controlling phase with their effect and aim of them on the environment and the health of the population. As a result of industriay and heavy transportation, etc. air contaminants are concentrated in certain locations. the uses of these certain locations' enviromental data by the environmental management information system to handle multiple environmental critical conditions in those areas. as an example we can use these system in factories, airports, companies, indoors areas in general that suffer from pollution. In the first part of the system which is the monitoring part there are some sensors that sense toxic gases ″ these sensor can be changed upon areas needs ″, when the device senses that they are above the normal range it sends an awareness message. After that the controlling part takes place by filtering the air from toxics gases which leads to good air quality. We present a part of the system that is related to artificial intelligence which is machine learning that take place by predicting the air quality index(AQI) which is very important part cause it’s firstly presented in our Egypt. Finally, our aim is to reduce pollutants as much as possible to enhance a good air quality for the future generations. Also to present and execute a system which we can consider it as a system made in Egypt.