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.