DocumentCode :
589461
Title :
Flight Data Visualization for Simulation & Evaluation: A General Framework
Author :
Haoran Guo ; Jianmin Pang ; Lin Han ; Zheng Shan
Author_Institution :
Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
Volume :
1
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
497
Lastpage :
502
Abstract :
Flight Data records the important plane subsystem status, attitudes, actions, key parameters, etc. during whole flight. Visualization of the information extracted from flight data is very useful to replay the entire flight and evaluate the quality. in this paper, we present a general framework to simulate and evaluate the flight course based on flight data processing and visualization. Firstly, we give out the flight maneuver recognition algorithm based on modified Particle Swarm Optimization (PSO). Then, we take the flight action evaluation as the problem of multivariate time series similarity measure, and construct the similarity matching model between recognized maneuvers and standard maneuvers to achieve quantitative evaluation of flight maneuver. We also implement the visualization engine based on OpenSceneGraph to simulate/replay the flight maneuver, flight path and the terrain of flying zone. Our framework not only fit for simulation and evaluation single kind (or type) of plane´s flight quality, any plane has the same flight data format can be simulated and replayed in 3D in our framework.
Keywords :
aerospace computing; aerospace simulation; computer vision; data visualisation; image matching; particle swarm optimisation; time series; OpenSceneGraph; flight course evaluation; flight course simulate; flight data format; flight data processing; flight data records; flight data visualization; flight maneuver recognition algorithm; flight path; flying zone terrain; information extraction; modified particle swarm optimization; multivariate time series similarity measure; plane flight quality; plane subsystem status; quantitative flight maneuver evaluation; recognized maneuvers; similarity matching model; standard maneuvers; Atmospheric modeling; Data models; Data visualization; Equations; Feature extraction; Mathematical model; Time series analysis; Flight Data; Flight Maneuver Recognition; Flight Quality; Simulation; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.130
Filename :
6407030
Link To Document :
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