Development of an aviation meteorological information and unusual weather detection system prototype based on the ADS-B 1090MHz data

  • 彭 晧瑋

學生論文: Master's Thesis

摘要

Aviation meteorology is closely associated with flight safety as many accidents have occurred due to unusual weather conditions However the current aviation unusual weather detection systems such as the low level wind shear alert system can only detect unusual weather conditions near the ground surface because all ground-based meteorological monitoring stations are at almost the same level It is thus necessary to augment the current system and by doing so all aircraft with ADS-B systems can serve as weather sensors in the air to collect vertical weather information As a result the objective of this research is deriving the vertical wind profile from ADS-B Mode-S ES data evaluating the correlation between the decoded ADS-B Mode-S ES data and the unusual weather conditions and building an unusual weather detection system prototype In order to acquire the vertical wind profile this thesis analyzes the weather parameters decoded from the ADS-B Mode-S ES data Because the weather parameters of magnetic heading and true airspeed need certain adjustments to get the accurate vertical wind profile this thesis establishes an adjustment database for these two parameters with the assistance of the Global Forecast System (GFS) Next this thesis discusses the feasibility of the vertical wind profile for use with three unusual weather algorithms which are the meteorological parameter fluctuation processing algorithm wind shear detection algorithm and abnormal movement detection algorithm This thesis also presents the correlation between ADS-B Mode-S ES data and the unusual weather conditions Furthermore this thesis utilizes the above algorithms to find the features used in the machine learning algorithm Support Vector Machine (SVM) and applies a feature selection technique to establish the learning model This learning model can classify whether the feature sets derived from the ADS-B Mode-S ES data are in the normal condition or the unusual weather condition and thus serves as an unusual weather detection system prototype The weather parameters derived from the ADS-B Mode-S ES data are adjusted in order to acquire the accurate vertical wind profiles The three unusual weather algorithms evaluate the correlation between ADS-B Mode-S ES data and unusual weather conditions Finally this thesis uses the machine learning method to build an unusual weather detection system prototype to detect unusual weather conditions encountered by aircraft
獎項日期2016 八月 1
原文English
監督員Shau-Shiun Jan (Supervisor)

引用此文

Development of an aviation meteorological information and unusual weather detection system prototype based on the ADS-B 1090MHz data
晧瑋, 彭. (Author). 2016 八月 1

學生論文: Master's Thesis