涡扇发动机过失速性能数值模拟

基于风扇、压气机的级特性 ,发展了涡扇发动机过失速一维非定常逐级模拟技术 ,采用了分析压缩系统过失速响应的动态滞后方法 ,通过调节发动机尾喷管的出口面积来模拟发动机的过失速状况 ,得到了合理的定性结果     

技术图书馆计算机集成管理历程

本文从确定软件、建立书目数据库和开通三个子系统等方面介绍了图书馆进行计算机集成管理的历程。     

智能交通系统(ITS)的发展 及其模型化研究

智能交通系统在欧洲也称道路交通信息通讯系统,是基于系统工程、电子、通信、信息等多种高新技术,并已渗透到航空、水运、铁路交通领域的新型交通系统.ITS的建立可以提高路网通行能力和服务水平,改善环保质量,提高能源利用率.介绍其基本概念以及国内外发展的概况后,提出了智能交通系统的学科体系模型、服务功能模型和网络层次模型,并简要分析了模型化的意义.最后,对系统的标准化问题及模型化研究对标准化的作用作了简单地介绍.     

风速缺失情况下风电场功率调度分析

为了得到最优风电场功率调度方案,必须掌握任意时刻各风机风速输入值,进而得出各风机出力大小。当风速测量仪出现故障而不能正常工作时,风电机组风速数据将出现错误或缺失。建立线性回归方程,找出每台机组间输入风速的联系便可得到缺失的风速值。当风场发生“空转弃风”时,电网管理部门下达限电指令,风电场输出指定规模的有功、无功功率。将风场内所有双馈异步发电机损耗最低为目标函数,确定有功、无功调度方案。运用MATLAB软件建立风场模型,仿真结果验证了调度模型的可行性。     

基于传递闭包法的航班分类模型及在航班排序中的应用

提出了一种基于传递闭包法的进/离场航班分类方法.首先对模糊集合理论和传递闭包算法作了简要的介绍,然后在考虑4种不同因素的条件下建立了航班分类模型,并给出了各类航班单位时间延误成本的计算公式.最后以终端区航班排序模型为例,对该方法进行了仿真,并与传统航班延误成本分类方法进行了比较.仿真结果表明,该方法有助于减少航班延误损失,优化进/离场航班队列,提高空中交通管理效率.     

Do drones have a realistic place in a pandemic fight for delivering medical supplies in healthcare systems problems?

The advancement of Unmanned Aerial Vehicle (UAV) technology in terms of industrialprocesses and communication and networking technologies has led to an increase...     

A new skeleton based flying bird detection method for low-altitude air traffic management

In low-altitude air traffic management, non-cooperation targets are the greatest threat to security of low-flying aircraft. Among various aviation fatalities, flying bird is the main factor with the highest risk and directs economic losses amounted to nearly 10 billion US dollars each year. Therefore, Flying Bird Detection (FBD) has attracted considerable attention in low-altitude air traffic management. In this paper, we propose a skeleton based FBD method via describing bird motion information with a set of key poses. To overcome the variability of birds, the skeleton feature is selected as a relatively fixed and common characteristic for the pose appearance of flying bird. Based on the geometric topology among some key parts of bird body, a set of key poses can be described by some extracted skeleton features, which are used to represent the bird motion information. Aimed at robustly handling with the pose variations, multiple pose-specific classifiers are individually trained to learn the representative poses of the flying bird. At the detection stage, the flying bird skeleton features are combined with extracted key-pose sets to perform the flying bird classification task from each image. Afterwards, the key-frame pose-change set and the consistency of the classification results from sequent images are employed to validate the final detection results. Experiments on flying bird datasets demonstrate the effectiveness and efficiency of the proposed method.     

Measuring the resilience of an airport network

Resilience is the ability of a system to withstand and stay operational in the face of an unexpected disturbance or unpredicted changes. Recent studies on air transport system resilience focus on topology characteristics after the disturbance and measure the robustness of the network with respect to connectivity. The dynamic processes occurring at the node and link levels are often ignored. Here we analyze airport network resilience by considering both structural and dynamical aspects. We develop a simulation model to study the operational performance of the air transport system when airports operate at degraded capacity rather than completely shutting down. Our analyses show that the system deteriorates soon after disruptive events occur but returns to an acceptable level after a period of time. Static resilience of the airport network is captured by a phase transition in which a small change to airport capacity will result in a sharp change in system punctuality. After the phase transition point, decreasing airport capacity has little impact on system performance. Critical airports which have significant influence on the performance of whole system are identified, and we find that some of these cannot be detected based on the analysis of network structural indicators alone. Our work shows that air transport system’s resilience can be well understood by combining network science and operational dynamics.     

Heuristics of node selection criteria to assess robustness of world airport network

The world airport network (WAN) is one of the networked infrastructures that shape today's economic and social activity,so its resilience against incidents affecting the WAN is an important problem.In this paper,the robustness of air route networks is extended by defining and testing several heuristics to define selection criteria to detect the critical nodes of the WAN.In addition to heuristics based on genetic algorithms and simulated annealing,custom heuristics based on node damage and node betweenness are defined.The most effective heuristic is a multiattack heuristic combining both custom heuristics.Results obtained are of importance not only for advance in the understanding of the structure of complex networks,but also for critical node detection.     

自动化输送系统网络数字化视频监控解决方案

提出一套基于EC5—1612CVDNA的自动化输送系统网络数字化视频监控解决方案。