基于航迹数据的油耗分析与研究

taptap下载安装安卓学报 ›› 2022, Vol. 40 ›› Issue (3): 8-14.

基于航迹数据的油耗分析与研究

陈昱君，孙樊荣，许学吉，沐瑶

（南京航空航天大学民航学院，南京211100）

收稿日期:2021-01-08 修回日期:2021-05-11 出版日期:2022-06-15 发布日期:2023-10-29
作者简介:陈昱君（1996—），女，湖南岳阳人，硕士研究生，研究方向为交通运输规划与管理.
基金资助:
国家自然科学基金项目（71874081）

Analysis and research on fuel consumption based on trajectory data

CHEN Yujun, SUN Fanrong, XU Xueji, MU Yao

（College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China）

Received:2021-01-08 Revised:2021-05-11 Online:2022-06-15 Published:2023-10-29

摘要/Abstract

摘要： 随着航空运输业的快速发展，传统的基于飞行程序的燃油预测无法再精确计算飞机携带的燃油量，因此如何精确地进行燃油预测成为各大航空公司稳健发展的重要目标。为了更科学地解决燃油决策量问题，首先对航迹数据进行处理，以便在计算燃油消耗（简称油耗）中使用，然后依据飞机数据基础用户手册（BADA，us鄄ermanualforthebasedofaircraftdata）数据库的油耗计算方法，在假定各航段燃油消耗率恒定的情况下建立了飞机下降进近阶段的油耗模型，并通过对所得油耗数据进行分析，提出某一飞行阶段航空公司的燃油携带建议值，最后依据中国民用航空西南地区空中交通管理局云南分局提供的雷达航迹数据进行仿真验证，验证了所设计的油耗模型较之前的传统方法更准确可行。

关键词: 燃油消耗, BADA（user manual for the based of aircraft data）数据库, 雷达数据, 下降进近

Abstract: With the rapid growth of the air transport industry, traditional flight procedure based fuel forecasting is no longer able to accurately calculate the amount of fuel carried by an aircraft, and therefore an accurate fuel forecast has become an important objective for the robust development of major airlines. In order to decide the quantity fuel consumption in a more scientific way, the trajectory data was firstly processed for use in the calculation of fuel consumption with the method based on the user manual for the BADA database, assuming a constant fuel consumption rate for each flight segment. The fuel consumption model for the descent and approach phase was then developed, and the analysis of the fuel consumption data was used to propose a recommended fuel carrying value for the airline for a particular flight phase. The proposed fuel consumption model was verified with the BADA database offered by Yunnan Sub-bureau, China Southwest Air Traffic Management Bureau.

Key words: fuel consumption, user manual for the based of aircraft data(BADA) database, radar data, descent and approach phase

中图分类号:

V212.13

陈昱君, 孙樊荣, 许学吉, 沐瑶. 基于航迹数据的油耗分析与研究[J]. taptap下载安装安卓学报, 2022, 40(3): 8-14.

CHEN Yujun, SUN Fanrong, XU Xueji, MU Yao. Analysis and research on fuel consumption based on trajectory data[J]. Journal of Civil Aviation University of China, 2022, 40(3): 8-14.

参考文献 16

[1]	KHADILKAR H, BALAKRISHNAN H． Estimation of aircraft taxi fuel burn using flight data recorder archives[J]． Transportation Research Part D：Transport and Environment, 2012, 17(7): 532-537．
[2]	LAWRANCE N R J, SUKKARIEH S, MASSON B． Using high -frequency data for predicting fuel use of jet transport aircraft[J]． Journal of Aircraft, 2017, 54(6): 2115-2125．
[3]	OH E M, KIM H, JEON D． A model for estimation of fuel consumption during aircraft taxi operations[C]//2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), September 23-27, 2018, London, UK． IEEE, 2018: 1-6．
[4]	赵冬林．基于 QAR 数据的飞机油耗监测方法与系统设计[D]．天津: taptap下载安装安卓, 2014．
[5]	钱宇, 毛子源, 向小军．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[J]．民航学报, 2018, 2(3): 1-4．
[6]	黄倩文, 张明, 刘思涵．基于飞行数据的航空器离场燃油消耗评估模型[J]．航空计算技术, 2019, 49(6): 23-26．
[7]	GARIEL M, SRIVASTAVA A N, FERON E． Trajectory clustering and an application to airspace monitoring[J]． IEEE Transactions on Intelligent Transportation Systems, 2011, 12(4): 1511-1524．
[8]	王莉莉, 彭勃．航迹点特征的时间窗分割算法的航迹聚类[J]．空军工程大学学报(自然科学版), 2018, 19(3): 19-23．
[9]	陈勇．一种目标航迹数据聚类挖掘分析方法[J]．无线电工程, 2015, 45(3): 22-24．
[10]	韩云祥．固定航路飞行条件下航空器航迹规划若干关键技术研究[D]．南京: 南京航空航天大学, 2014．
[11]	何艳, 王运锋．基于历史航迹特征的飞行意图识别[J]．现代计算机, 2019(29): 29-34．
[12]	许跃凤, 胡荣, 张军峰, 等．基于 BADA 模型的飞机持续爬升运行减噪效果研究[J]．交通运输系统工程与信息, 2017, 17(4): 201-206, 227．
[13]	张明．短期天气变化下的终端区交通流延误分析[D]．南京: 南京航空航天大学, 2017．
[14]	吴祯涛, 李学仁, 杜军．某型军用飞机下降阶段燃油消耗模型研究[J]．信号处理, 2019, 35(12): 2036-2044． [15] 刘家学, 尹鹏．改进深度信念网络在飞机下降段油耗估计中的应用[J]．计算机应用与软件, 2019, 36(8): 69-74．
[16]	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．