Оцінка забруднення повітря з використанням безпілотного літального апарату за допомогою генетичних алгоритмів

Abstract

This article analyzes the method of using unmanned aerial vehicles (drones) using genetic algorithms in the case of air pollution assessment. The relevance of this development in accordance with the problems of atmospheric air pollution was investigated. The advantages and disadvantages of this method in comparison with alternative methods are analyzed. An analysis of the components of the hardware part was carried out, and the most optimal ones were chosen for solving the given task. The design and control scheme of the unmanned aerial vehicle is presented. The rationale for choosing an algorithm for UAV control is chosen and given. The algorithm for its implementation is described step by step, an example implemented using the Java language is given. The execution of the genetic algorithm is graphically depicted and the execution speed graphics are given.