地月空间探索与开发的思考

提出了地月空间探索与开发的概念,对全球发展态势进行了总结,从人类文明、太空格局、战略安全、科技经济全方位发展等维度阐述了我国开展地月空间探索与开发的发展需求;并提出了地月空间探索与开发的体系组成、能力需求和技术难点,从科学、经济和工程三个方面分析了发展效益,最后给出了发展路线;研究成果可为未来大规模开展地月空间探索与开发提供参考。     

无线电陆空通话英语交际能力模型研究

民航无线电陆空通话语言是以英语为载体的一种空地交流的特殊语言。本文在应用语言学的研究成果之上,提出了该语言的交际能力模型,该模型包括语言能力、策略能力、背景知识和心理生理机制四个部分。笔者结合民航陆空通话实际,对模型各个部分进行了分析,重点解析了策略能力在模型中的核心功能。     

松约束运输问题模型与算法研究

运输问题存在着所谓的"多反而少"悖论现象,本文用运输问题的松约束模型,说明了运输问题产生悖论现象的原因,从而拓宽了运输问题的应用范围,增加了运输问题的适应性,本文给出的运输问题的松约束模型的表上作业算法,运算简单,能彻底解决了运输问题的"多反而少"悖论现象,用本文所介绍的算法解一些问题,得到了更省的调运方案.     

Evolution of airports from a network perspective——An analytical concept

Analyzing airports' role in global air transportation and monitoring their development over time provides an additional perspective on the dynamics of network evolution. In order to understand the different roles airports can play in the network an integrated and multi-dimensional approach is needed. Therefore, an approach to airport classification through hierarchi-cal clustering considering several parameters from network theory is presented in this paper. By applying a 29 year record of global flight data and calculating the conditional transition probabil-ities the results are displayed as an evolution graph similar to a discrete-time Markov chain. With this analytical concept the meaning of airports is analyzed from a network perspective and a new airport taxonomy is established. The presented methodology allows tracking the development of airports from certain categories into others over time. Results show that airports of equal classes run through similar stages of development with a limited number of alternatives, indicating clear evolutionary patterns. Apart from giving an overview of the results the paper illustrates the exact data-driven approach and suggests an evaluation scheme. The methodology can help the public and industry sector to make informed strategy decisions when it comes to air transportation infras-tructure.     

适用于空管人才选拔的人为因素实验室研究

以空中交通管制员职业特征为依据,深入探讨了适用于空管人才选拔的人为因素实验室的若干重要问题。构建了航空人为因素软件测试平台,并通过统计分析确定实验项目,以达到有效选拔空管人才的目的。     

民航国内客运价格与周转量的因果关系研究

应用格兰杰因果关系检验方法(Granger causality test)研究中国民航国内航线客运价格与客运周转量之间的因果关系.选取1989-2007年中国民航国内航线收入及周转量年度数据,进行格兰杰因果关系分析.结果表明,国内客运价格改变能引起国内航线客运周转量的改变,滞后期为2～3年,第4年后影响程度弱化.研究结果与民航产业发展变化的实际情况相符,认为格兰杰因果关系检验方法可应用于民航国内客运价格与周转量的因果关系研究.研究结果为民航票价的制定提供理论依据,通过有效的价格机制促使民航业进一步开拓市场,有利于提高周转量以及民航在交通运输业中的市场占有率,增强其同行业竞争力.     

某型号空气压缩机的常见故障及排除方法

目的正确分析、准确判断空气压缩机的常见故障。方法通过观察、测量、试验等方法判断故障部位和类型。结果故障主要是活塞环严重磨损、活门密封性降低、偏心轮扭断、润滑油路堵塞和活门严重故障等。结论迅速快捷地排除空压机故障。     

Integration of lessons from recent research for “Earth to Mars” life support systems

Development of reliable and robust strategies for long-term life support for planetary exploration must be built from real-time experimentation to verify and improve system components. Also critical is incorporating a range of viable options to handle potential short-term life system imbalances. This paper revisits some of the conceptual framework for a Mars base prototype which has been developed by the authors along with others previously advanced (“Mars on Earth^®”) in the light of three years of experimentation in the Laboratory Biosphere, further investigation of system alternatives and the advent of other innovative engineering and agri-ecosystem approaches. Several experiments with candidate space agriculture crops have demonstrated the higher productivity possible with elevated light levels and improved environmental controls. For example, crops of sweet potatoes exceeded original Mars base prototype projections by an average of 46% (53% for best crop) ultradwarf (Apogee) wheat by 9% (23% for best crop), pinto bean by 13% (31% for best crop). These production levels, although they may be increased with further optimization of lighting regimes, environmental parameters, crop density etc. offer evidence that a soil-based system can be as productive as the hydroponic systems which have dominated space life support scenarios and research. But soil also offers distinct advantages: the capability to be created on the Moon or Mars using in situ space resources, reduces long-term reliance on consumables and imported resources, and more readily recycling and incorporating crew and crop waste products. In addition, a living soil contains a complex microbial ecosystem which helps prevent the buildup of trace gases or compounds, and thus assist with air and water purification. The atmospheric dynamics of these crops were studied in the Laboratory Biosphere adding to the database necessary for managing the mixed stands of crops essential for supplying a nutritionally adequate diet in space. This paper explores some of the challenges of small bioregenerative life support: air-sealing and facility architecture/design, balance of short-term variations of carbon dioxide and oxygen through staggered plantings, options for additional atmospheric buffers and sinks, lighting/energy efficiency engineering, crop and waste product recycling approaches, and human factor considerations in the design and operation of a Mars base. An “Earth to Mars” project, forging the ability to live sustainably in space (as on Earth) requires continued research and testing of these components and integrated subsystems; and developing a step-by-step learning process.     

区域运输规划模型系统

提出一种区域运输规划模型系统,以求从定量的角度,预测一个区域内的货物运输量,继而确定这些运输量对该区域内存在的多种运输方式的偏好结构,最后仿真这些运量在相应的各种运输网络上的分布情况,同时仿真模型还对运输网线路经过新建或扩建后所形成的新的运量分布进行模拟。根据运量分布情况,就可提出初步的规划建设方案。     

A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.