FUZZY MODELS FOR AIR QUAITY MONITORING TECHNOLOGY IN AERODROME

Abstract

This article aims to develop a methodology, which can improve the reliability of monitoring air pollution results in the aerodrome environment in the case of Almaty airport. In order to achieve this goal, the Digital Transformation technology was analytically justified and considered. To solve this multidimensional problem effectively in the conditions of the aerodrome environment, a number of problems were investigated theoretically and practical recommendations were proposed. Furthermore, a vector of atmospheric ingredients which pollutes the aerodrome environment was formed which takes into account the natural-climatic and geographical features of the Almaty airport. An expert analysis was carried out to find out an impact of contaminants to the aerodrome atmospheric environment of Almaty airport. In addition, a model of integrated assessment has been developed to analyse the quality of the aerodrome habitat per person. Also, a technological solution based on an UAV has been developed for a control and measurement process which monitors the air quality. This is carried out with the help of monitoring system control operator who specifies a height and radius of an aerodrome virtual atmospheric “cylinder”. Also, formal models have been developed with the function of statistical characteristics of the parameters of a multi-agent control in order to assess and predict the risks of air quality control near an aerodrome environment. Finally, a computer experiment was carried out and 3D models of the simulation results were built.