ИЗМЕНЕНИЕ СТРУКТУРЫ АВТОМАТИЗИРОВАННОЙ СИСТЕМЫ УПРАВЛЕНИЯ ОРГАНИЗАЦИЕЙ ВОЗДУШНОГО ДВИЖЕНИЯ В АЭРОПОРТУ

Abstract

The work is carried out on an up-to-date topic and is devoted to the research of methods to improve safety when landing an aircraft (VS) in conditions of vortex danger and variability of wind speed fields. The main task of the study is to find a new set of signs of remote control of the environment and to form the structure of an automated air traffic control system when landing at the airport. The structure, the list of tasks and methods of intelligent monitoring and analysis of data have been expanded in order to effectively detect anomalies that threaten the safety of the Armed Forces and other objects in the runway area.) The problem is the lag behind the development of electronic equipment (REOs) to ensure the efficiency of the use of runway while maintaining and increasing the level of safety of the armed forces during landing. The subject is an information automated system to provide and control the required level of air traffic safety. The object of the study is the methods of the REO of the Armed Forces in the area of the runway of the airfield. The aim of the work is to improve the efficiency of the runway by improving safety by applying the extended space of measurable parameters to the airborne vehicles in anticipation of landing, assessing the threat of the armed forces on the glissad and intelligent support for the control of the armed forces, which is especially important for unmanned air. The work provides a characteristic and proposals to change the structure of the ASU, considered the criteria for optimization. The work examines the task of managing the operation of the expanded structure of the system to improve efficiency through the time and tasks of information monitoring of the environment and the Armed Forces in the airport runway area. Relevance lies in the lack of remotely measurable, prompt and reliable information about the dynamics of the Armed Forces system and the environment sufficient to make informed automatic decisions.