Abstract
People experience the problems of air quality every day, either inside or outdoors. The best solution to mitigate the problem inside the buildings is to open opening the windows. It is not just the most efficient, but also the cheapest solution. However, opening windows might only worsen the situation in the room in the case of excess air pollutants in the big cities. Consequently, one should use another method of improving air quality inside. Often people cannot recognize whether air quality is good enough inside, therefore, there is a need for a system which could monitor the air conditions inside and outside the buildings, analyze it and give recommendations for improving the air quality. Air quality monitoring is one of the important topics of the SMURBS/ERA-PLANET project within the European Commission’s Horizon-2020 program. This study addresses the problem of using remote sensing data and Copernicus ecological biophysical models for air quality assessment in the city, and proposes the intelligent solution based on indoor and outdoor sensors for air quality monitoring controlled by a fuzzy logic decision block. We are planning to implement the distributed system in the framework of the Smart City concept in Kyiv (Ukraine) within the SMURBS project.
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