基于快速存取记录器数据的飞机滑行阶段的油耗模型优化
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摘要
降低燃油成本既是航空公司成本控制的重中之重,也是响应节能减排号召的重要举措。为了降低滑行阶段油耗,本文利用回归分析方法对航空公司运行数据进行拟合,建立了飞机滑行阶段的油耗模型并利用实际数据进行了验证。结果表明,利用该方法可提高对滑行时间的预测精度,实现对滑行阶段燃油消耗更准确的估计。可见,应用该方法可以有效减少不必要的燃油消耗,具有较好的实用价值。
Reducing fuel costs is not only a top priority for the cost control of airlines, but also an important initiative to respond to the call for energy conservation and emissions reduction. In order to reduce fuel consumption during the taxiing stage, the regression analysis method is used to simulate the operation data of airlines, and the fuel consumption model during the aircraft taxiing stage is established and verified. The results show that this method can improve the prediction precision of the taxiing time and achieve accurate estimation of fuel consumption. It is concluded that this method can effectively reduce unnecessary fuel consumption and has good practical value.
Reducing fuel costs is not only a top priority for the cost control of airlines, but also an important initiative to respond to the call for energy conservation and emissions reduction. In order to reduce fuel consumption during the taxiing stage, the regression analysis method is used to simulate the operation data of airlines, and the fuel consumption model during the aircraft taxiing stage is established and verified. The results show that this method can improve the prediction precision of the taxiing time and achieve accurate estimation of fuel consumption. It is concluded that this method can effectively reduce unnecessary fuel consumption and has good practical value.
引文
[1]刘芳.下降阶段的飞机油耗优化建模方法研究[D]﹒南京:南京航空航天大学,2011.
[2]耿宏,揭俊.基于QAR数据的飞机巡航段燃油流量回归模型[J]﹒航空发动机,2008,34(4):46-50.
[3]刘婧.基于飞行数据分析的飞机燃油估计模型[D]﹒南京:南京航空航天大学,2010.
[4]陈治怀.飞机性能工程[M]﹒北京:兵器工业出版社,2006:93-94.
[5]杜晓坤,王栋梁,何顺杰,等.运输类飞机实测载荷飞行任务段划分算法[J]﹒科学技术与工程,2017,17(30):352-355.
[6]陈静杰,邹迎欢.油耗预测中显著影响参数提取方法的仿真[J]﹒计算机仿真,2013,30(6):55-58.
[7]张莉莉,张尚立.线性回归模型LIU估计的影响分析[J]﹒科学技术与工程,2010,10(9):2049-2051.
[8]张曦.一元线性回归分析在工程技术经济领域中的应用[J]﹒建筑经济,2009(S1):253-256.
[9]张敏静,刘雅娜,薛志群.一元线性回归方程有关检验问题的研究[J]﹒价值工程,2012(2):1-3.
[10]董凤鸣,周萍.EXCEL在一元线性回归分析中的应用[J]﹒科技信息(科学教研),2007(12):144-146.
[2]耿宏,揭俊.基于QAR数据的飞机巡航段燃油流量回归模型[J]﹒航空发动机,2008,34(4):46-50.
[3]刘婧.基于飞行数据分析的飞机燃油估计模型[D]﹒南京:南京航空航天大学,2010.
[4]陈治怀.飞机性能工程[M]﹒北京:兵器工业出版社,2006:93-94.
[5]杜晓坤,王栋梁,何顺杰,等.运输类飞机实测载荷飞行任务段划分算法[J]﹒科学技术与工程,2017,17(30):352-355.
[6]陈静杰,邹迎欢.油耗预测中显著影响参数提取方法的仿真[J]﹒计算机仿真,2013,30(6):55-58.
[7]张莉莉,张尚立.线性回归模型LIU估计的影响分析[J]﹒科学技术与工程,2010,10(9):2049-2051.
[8]张曦.一元线性回归分析在工程技术经济领域中的应用[J]﹒建筑经济,2009(S1):253-256.
[9]张敏静,刘雅娜,薛志群.一元线性回归方程有关检验问题的研究[J]﹒价值工程,2012(2):1-3.
[10]董凤鸣,周萍.EXCEL在一元线性回归分析中的应用[J]﹒科技信息(科学教研),2007(12):144-146.