Flight Data Visualization for Simulation & Evaluation: A General Framework

  • Authors:
  • Haoran Guo;Jianmin Pang;Lin Han;Zheng Shan

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ISCID '12 Proceedings of the 2012 Fifth International Symposium on Computational Intelligence and Design - Volume 01
  • Year:
  • 2012

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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.