Intelligent techniques for identification and tracking of meteorological phenomena that could affect flight safety

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1. Verfasser: Jimmy Anderson Florez Zuluaga
Format: Artículo científico
Sprache:en
Veröffentlicht: Escuela de Posgrados de la Fuerza Aérea Colombiana 2017
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author Jimmy Anderson Florez Zuluaga
author_facet Jimmy Anderson Florez Zuluaga
contents Intelligent techniques for identification and tracking of meteorological phenomena that could affect flight safety Jimmy Anderson Florez Zuluaga Jesús Francisco Vargas Bonilla Juddy K. Reina Educación ATC air safety cumulonimbus tower cumulus satellite pictures In aviation, the meteorological phenomena are one of the most important aspects to be considered in all fly stages, from planning to landing. The development of nowcasting systems in meteorology applied to aviation can support the decision-making process for air traffic control-lers and pilots, facilitating the meteorological variables analysis and providing a first interpretation available to all the users of the air system.For this reason, the Center for Technological Development for Defense (CETAD) has as main objec-tive in this document to describe the results of the development of a systematized methodology that uses intelligent techniques for the detection and identification and monitoring of any type of training that by its characteristics can represent a risk to the aviation, generating in turn informa-tion of support to the air traffic controller.For this, it is necessary to detect the convective formations, to classify them, to filter the noise and to individualize them. These types of processes can be automated through the intelligent analysis of products available through the MET Service of Air Navigation Services Providers, like the Colom-bian Civil Aviation (UAEAC) and the multispectral satellite imagery.After detection, a group of characteristics allowing the developmet of efficient algorithms capable of monitoring the behavior of the convective formation must be determined. That allows generat-ing forecasts of the characteristics of the convective systems in the short term and this requires to know other variables such as the wind motion in the areas of analysis. This kind of applications integrated with air traffic control systems would reduce the risks due to meteorological factors. This work brings a procedure based on the combination of different techniques like histograms identification and neural network processing, among others, to identify a potentially hazardous phenomenon and to follow it in time and space. The use of a user-friendly interface let any user have a phenomena interpretation for supporting the decision-making process. 2017 artículo científico 1909-7050 https://www.redalyc.org/articulo.oa?id=673571175021 en http://www.redalyc.org/revista.oa?id=6735 Ciencia y Poder Aéreo application/pdf Escuela de Posgrados de la Fuerza Aérea Colombiana Ciencia y Poder Aéreo (Colombia) Num.1 Vol.12
format Artículo científico
id redalyc_673571175021
institution Redalyc
language en
publishDate 2017
publisher Escuela de Posgrados de la Fuerza Aérea Colombiana
spellingShingle Intelligent techniques for identification and tracking of meteorological phenomena that could affect flight safety
Jimmy Anderson Florez Zuluaga
Educación
ATC
air safety
cumulonimbus
tower cumulus
satellite pictures
Intelligent techniques for identification and tracking of meteorological phenomena that could affect flight safety Jimmy Anderson Florez Zuluaga Jesús Francisco Vargas Bonilla Juddy K. Reina Educación ATC air safety cumulonimbus tower cumulus satellite pictures In aviation, the meteorological phenomena are one of the most important aspects to be considered in all fly stages, from planning to landing. The development of nowcasting systems in meteorology applied to aviation can support the decision-making process for air traffic control-lers and pilots, facilitating the meteorological variables analysis and providing a first interpretation available to all the users of the air system.For this reason, the Center for Technological Development for Defense (CETAD) has as main objec-tive in this document to describe the results of the development of a systematized methodology that uses intelligent techniques for the detection and identification and monitoring of any type of training that by its characteristics can represent a risk to the aviation, generating in turn informa-tion of support to the air traffic controller.For this, it is necessary to detect the convective formations, to classify them, to filter the noise and to individualize them. These types of processes can be automated through the intelligent analysis of products available through the MET Service of Air Navigation Services Providers, like the Colom-bian Civil Aviation (UAEAC) and the multispectral satellite imagery.After detection, a group of characteristics allowing the developmet of efficient algorithms capable of monitoring the behavior of the convective formation must be determined. That allows generat-ing forecasts of the characteristics of the convective systems in the short term and this requires to know other variables such as the wind motion in the areas of analysis. This kind of applications integrated with air traffic control systems would reduce the risks due to meteorological factors. This work brings a procedure based on the combination of different techniques like histograms identification and neural network processing, among others, to identify a potentially hazardous phenomenon and to follow it in time and space. The use of a user-friendly interface let any user have a phenomena interpretation for supporting the decision-making process. 2017 artículo científico 1909-7050 https://www.redalyc.org/articulo.oa?id=673571175021 en http://www.redalyc.org/revista.oa?id=6735 Ciencia y Poder Aéreo application/pdf Escuela de Posgrados de la Fuerza Aérea Colombiana Ciencia y Poder Aéreo (Colombia) Num.1 Vol.12
title Intelligent techniques for identification and tracking of meteorological phenomena that could affect flight safety
topic Educación
ATC
air safety
cumulonimbus
tower cumulus
satellite pictures
url https://www.redalyc.org/articulo.oa?id=673571175021