A framework analysis approach of an indoor air quality sensor

Abstract

Killing around 7 million people a year, air pollution is the biggest risk to environmental health in the world. In this paper, we explore the use of structuring knowledge representation in form of a framework approach for an indoor air quality sensor. Applying the main steps to be considered in defining an air quality framework, we discuss each one of them, followed by a particular implementation of the framework in terms of an ontology model to exposure to carbon monoxide and PM10.5 (two of the most encountered pollutants in home life).