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.     

空域拥挤风险管理时间决策模型与方法

针对目前日益严重的空域拥挤现象,缺乏有效的空域拥挤风险管理机制,造成拥挤难以应对等问题,建立了空域拥挤风险预测模型、空域拥挤风险解决模型和风险损失成本模型。采用风险预测模型和解决模型预测可能产生空域拥挤的时段、提出不同时段的实施流量管理策略,基于风险损失成本模型给出了不同时段调整拥挤的运行成本,通过比较运行成本和空域拥挤风险管理决策方法确定出解决空域拥挤的最佳时间点。采用实际运行数据进行验证,结果表明:所建立的空域拥挤预测模型、空域拥挤风险解决模型、风险损失成本模型和空域拥挤风险管理时间决策方法能有效地预测未来空域发生拥挤的时段,迅速找到运行成本最小的调整拥挤的时间点,为空中交通流量动态管理提供了新途径。     

A data-driven health indicator extraction method for aircraft air conditioning system health monitoring

Prognostics and Health Management (PHM) has become a very important tool in modern commercial aircraft. Considering limited built-in sensing devices on the legacy aircraft model, one of the challenges for airborne system health monitoring is to find an appropriate health indicator that is highly related to the actual degradation state of the system. This paper proposed a novel health indicator extraction method based on the available sensor parameters for the health monitoring of Air Conditioning System (ACS) of a legacy commercial aircraft model. Firstly, a specific Airplane Condition Monitoring System (ACMS) report for ACS health monitoring is defined. Then a non-parametric modeling technique is adopted to calculate the health indicator based on the raw ACMS report data. The proposed method is validated on a single-aisle commercial aircraft widely used for short and medium-haul routes, using more than 6000 ACMS reports collected from a fleet of aircraft during one year. The case study result shows that the proposed health indicator can effectively characterize the degradation state of the ACS, which can provide valuable information for proactive maintenance plan in advance.     

偶发组播数据丢包问题研究

针对传输关键控制数据的某型冗余备份网络架构在大背景流量下偶发组播数据丢包的问题,分析了丢包机理,提出配置静态组播组的方法,同时进行了实验验证。结果表明,该方法能有效解决工程实践中出现的问题。因此,在网络结构设计时,要充分考虑传输链路中会对组播传输产生洪泛的设备,采取有效措施消除影响,确保组播数据传输的正确性与完整性。