我国航空运输需求价格弹性测算

根据经济学理论,同时结合我国航空运输的特点,通过引入我国GDP和我国航空运输每运输吨公里收入两个变量,利用线性回归分析的方法建立了我国航空运输需求函数,并根据需求函数绘制了我国航空运输需求曲线,然后根据需求函数和需求曲线测算了我国航空运输需求价格弹性值。最后,对本研究需要改进的方面进行了分析和总结。     

基于进离场流量和冲突发生位置的扇区规划

随着空中交通流量的日渐增大，空域结构及交通流分布的不合理性导致空中交通管制与飞行安全存在着一定的隐患。鉴于机场进近区是限制空域运行能力的主要瓶颈，针对如何提高空域资源利用率从而提升空域容量进行了进近区扇区规划，提出了考虑飞行流量、冲突发生的位置以及空域运行情况等因素建立的扇区容量均衡模型，利用霍夫曼编码原理进一步找到了扇区边界，并验证了方法的科学性和合理性。     

基于故障树的空管自动化系统分析

综合考虑软件和硬件对空管自动化系统可靠性的影响,建立空管自动化系统故障树模型,并进行定性和定量分析,确定影响系统可靠性的关键因素。结果表明,该方法有利于保证和提高系统的可靠性。     

Ionospheric precursors of earthquakes and Global Electric Circuit

The electromagnetic coupling between the seismically activated area and the ionosphere is considered within the framework of the Global Electric Circuit (GEC) conception. First we consider the anomalous variations in the ionosphere associated with the earthquake preparation process, their temporal and spatial characteristics using the results from recent publications. Then the GEC conception is presented shortly with main accent put on ionization processes which play key role in the complex chain of physical and chemical interactions changing the electric properties of the planetary boundary layer of atmosphere. We treat this part of troposphere as an open complex system with dissipation where so called “blow up” processes are developed leading to sharp and fast changes of atmospheric parameters including the electric properties of the boundary layer. The new concept named Spatial Scintillation Index is introduced in the last part of the paper. In general, this paper may be considered as a short review of the recent achievements in understanding of the seismo-ionospheric coupling.     

飞机座舱供气品质分析

针对飞机供气异味问题,从飞机座舱供气原理出发,分析可能影响飞机座舱供气品质的因素,通过排查和检测找到供气异味的来源,采取相应措施保证座舱的供气品质,提出座舱供气品质的控制途径,为进一步的飞机座舱空气品质研究提供参考。     

基于BDI模型的Agent在航班时隙分配问题研究

随着民航运输的快速发展,时隙资源日益紧缺,为了保证航班的正常飞机,提出了基于BDI(Beliefs-Desires-Intentions)Agent分布式时隙优化模型,并对厦门机场某一时间段内的时隙分配进行验证,结果表明,模型可以大大减少航班的延误损失,具有较强的实际应用性。     

ATC3000航空地图制作软件及其关键技术分析

针对ATC3000空管自动化系统的运行要求以及飞行管制区现场实际工作的需要,介绍了ATC3000航空地图制作软件的关键技术。文中分析了该软件的结构以及在Windows系统中使用Delphi开发的具体实现技术。     

基于随机森林的航空器到达时刻预测

航空器到达时刻（ ETA）预测是进场排序与调度的基础，因此进场飞行时间的快速与准确预测显得尤为重要。通过分析航班信息、天气信息以及空中交通信息，基于随机森林算法构建了航空器到达时刻预测模型。选取上海浦东机场进场航班进行仿真验证，仿真结果表明，预测模型可以实现航空器到达时刻的快速与准确预测。     

Experimental comparison between aircraft fuel tank inerting processes using NEA and MIG

Fuel tank inerting technologies are able to reduce the fire risk by injection of inert gas into the ullage or fuel, the former called ullage washing and the latter fuel scrubbing. The Green On-Board Inert Gas Generation System (GOBIGGS) is a novel technology based on flameless catalytic combustion, and owning to its simple structure and high inerting efficiency, it has received a lot of attentions. The inert gas in the GOBIGGS is mainly comprised of CO₂, N₂, and O₂ (hereinafter, Mixed Inert Gas (MIG)), while that in the On-Board Inert Gas Generation System (OBIGGS), which is one of the most widely used fuel tank inerting technologies, is Nitrogen-Enriched Air (NEA). The solubility of CO₂ is nearly 20 times higher than that of N₂ in jet fuels, so the inerting capability and performance are definitely disparate if the inert gas is selected as NEA or MIG. An inerting test bench was constructed to compare the inerting capabilities between NEA and MIG. Experimental results reveal that, if ullage washing is adopted, the variations of oxygen concentrations on the ullage and in the fuel are nearly identical no matter the inert gas is NEA or MIG. However, the ullage and dissolved oxygen concentrations of MIG scrubbing are always higher than those of NEA scrubbing.