GEOSPATIAL DIGITAL TWIN OF THE NEAR-AIRDROME ECOLOGICAL ENVIRONMENT

Abstract

The aim of the article is to develop a methodology for improving the reliability of monitoring the level of air pollution in the near-aerodrome environment in the context of the digital transformation of business processes in the aviation industry. As a mechanism for achieving the goal, the Digital Twin technology was analytically substantiated and chosen. To effectively solve this multifaceted problem in the conditions of an aviation enterprise, a number of tasks were theoretically studied and practical recommendations were proposed. Taking into account the natural, climatic and geographical features of the airport in Almaty, a vector of atmospheric ingredients polluting the airfield environment in Almaty has been formed. An expert analysis of the significance of the ingredients of pollution of the airfield atmospheric environment in Almaty was carried out. A model for integrated assessment of the degree of impact of the near-aerodrome environment on a person has been developed, taking into account weather factors. A structural-functional model of a control and measuring complex based on an UAV, which monitors the air quality of an aerodrome atmospheric 3D object, has been developed. Formal models have been developed for assessing and predicting the risks of controlling and monitoring the air quality of the near-aerodrome environment as a function of the statistical characteristics of the parameters of a multi-agent control and measuring system. A computer experiment was carried out and 3D models of the simulation results were built.