The Research Of Fuel Consumption Forecast On Fixed Fight Segments And Fuel Saving Methods Based On QAR For Airbus 320

For the purpose of dealing with serious situation of the international air changing,reducing the emission according to China's own goals, and insisting on three-step strategy civil aviation industry energy conservation, it is of great importance to carry out the forecasting work about energy conservation and emission reduction of civil aviation. Based on this, this paper focuses on the problem of the fuel forecasting of civil aviation, proposes measures to save fuel, provides a theoretical basis for energy conservation and emission reduction work.Firstly,the significant affecting factors of fuel consumption have been studied. Based on the QAR data set derived from an airplane of A320 model whose leg is from Beijing to Guangzhou with flight altitude higher than 29,000 feet, combined with the impact of airline fuel consumption factors, The related QAR data was selected to clean, standardize and discretize(Discretization applied discretization algorithm of continuous attributes based on information entropy). With the reduction knowledge of rough set theory, the significant factors of affecting fuel consumption prediction have been extracted.Secondly, Fuel consumption prediction model have been established using artificial neural networks. After data preprocessing, the QAR data of significant affecting factors have been divided into two groups. The first group data was used to train the neural network, and established fuel consumption prediction model; the second group was used to test the model.After testing, the deviation was within the range of [-80, 60]. And the model has been proved valid. The model has been applied to predict fuel consumption with the cruise phase of flight segment from Beijing to Guangzhou, and obtained a comparison chart of the actual fuel consumption and predicted fuel consumption.Finally, the fuel saving strategy of aircraft has been developed. Directed by the extracted significant factors of impacting of fuel consumption, the appropriate fuel-saving measures have been formulated. Then combined with flight operations, have developed a fuel-efficient program of aircraft.