ABSTRACT:
Air pollution is a phenomenon that combines and rapidly spreads solid particles and gases in the air, being one of the greatest problems that affects the environment and health of living beings worldwide. These agents are emitted by car gases, chemical compounds from industries, dust, and mold spores that are fund as suspended particles in the air, and its aspiration increases the risk of health problems in the population, affecting organs such as the heart and lung. The aim of this article is to use ICT to develop an expert system to detect the concentration levels of air pollutants such as carbon monoxide (CO), ozone (O3), sulfur dioxide (SO 2 ), nitrous oxide (NO2), and suspended particles such as: dust, dirt, soot, or smoke (PM2.5 and PM10) and to diagnose the impact on a person’s health in real time. A descriptive-applied methodology was use, through the hypothetical-deductive scientific method. The software engineering methodology used was Buchanan, consisting of four stages: identification, conceptualization, formulation, and development. The result obtained was a prototype of an online platform that generates indicators on the levels of pollution in the air, where an expert system based on rule is integrated using the Horn clause, allowing users to detect the levels of the different air pollutants and to know what the health affectation is, depending on their current health status.

AUTHORS:
José Collado
Laura Dominguez
Luiyiana Pérez