月球探测器软着陆机构发展综述

综述了月球探测器软着陆机构的发展概况;分析了国际上月球探测器软着陆机构的结构组成、工作原理及特点。对不同展开机构和缓冲器特点进行了分析,预测了月球探测器软着陆机构的发展趋势。     

环月卫星成像敏感器对月姿态确定算法

紫外月球敏感器是大视场成像式敏感器,针对姿态确定算法,以MOSAIC可见光成像敏感器为例分析了传统圆拟合模式的适用性与不足;推证出在低轨道情况下曲线拟合出的月像几何中心与真实月心(nadir)不能等同;依据成像几何分析通过泰勒展开公式推导并提出了新的姿态角运算方法,保证了低轨道姿态运算精度;仿真结果显示新算法的姿态运算是非常有效的。     

科技发展软环境制约因素分析及对策研究

软环境对科技创新与发展具有重大影响；剖析科技发展软环境制约因素，主要包括思想观念因素、管理体制与运行机制因素、人力资源因素、法治建设因素、配套服务因素和社会道德与诚信因素等。未来廊坊市的科技发展应着重开发人力资源，在不断创新服务的同时，注重配套服务质量与经济效益的提高。     

谈正交试验方法的简易化

正交试验法由于其直观、简单、有效,正在获得日益普遍的推广应用。然而各种书刊在正交试验的讲法上很不统一,造成人们理解上的困难,影响着正交试验法的进一步推广。本文指出正交试验法的实质是多因素试验优化法,它能以尽可能少而分布均匀的试验条件通过分批试验逐步地“搜索”到最优解,而且不论实际问题有无交互作用均能适用。文章认为国内数学界倡导的正交试验方法,在安排试验因素时不去专门分析因素间的交互作用、而对试验结果采用直观比较与分析,这是对国外正交试验方法的有效简化。正是这种简化才使正交试验法能在我国获得迅速普及与推广,成为广大群众手中的有效管理工具。     

基于嫦娥一号高能粒子数据的地球磁层屏蔽效应研究

月球绕地球运行轨道约有1/4位于地球磁层内,因此,地球磁层是否会为月球轨道附近高能粒子提供足够的磁场屏蔽对于探索月球活动具有重要影响.嫦娥一号是中国首颗绕月人造卫星,其绕月飞行的工作轨道距离月球表面200 km.通过对嫦娥一号高能粒子探测器(HPD)的探测数据进行分析,比较了当月球位于地球磁层内外6个不同能道(能量范围4～400 MeV)时质子通量的变化,发现当月球位于地球磁层内时,这些能道的质子通量并没有发生显著减少,结果表明地球磁层不能为月球轨道附近高能粒子提供显著的磁屏蔽.     

月球测绘学分类及应用展望

根据月球测绘的研究现状及发展趋势,对月球测绘学的概念进行了溯源与拓展.在分析月球测绘学与地球测绘学主要差异基础上,从传统测绘学科分类角度出发,综合考虑月球测绘学特殊性,重新梳理出月球测绘学主要学科专业分类,并详细介绍了每个学科专业的定义及国内外研究现状,给出了月球测绘学的五个主要应用领域及其应用展望.我国应尽早开展月球...     

Analysis of Chang’e-5 lunar core drilling process

Chang’e-5 explorer successfully acquired lunar regolith core samples from depths of greater than 1 m of lunar surface. This study analyzed the lunar core drilling process based on the telemetry data, image information, and returned samples to optimize the sampling device design and enhance the understanding of the lunar regolith. In particular, a prediction method for the projected drilling path and local terrain fitting of drilling dip angle was proposed based on the flight events recorded during the core drilling process and the image information acquired before, during, and after sampling. The results revealed that the drilling dip angle of Chang’e-5 was approximately 2.3°, and the deviation of the drilling length and depth was less than 2 mm. For continuous drilling, a fusion method based on telemetry data and image information was applied to determine the demarcation point of drilling with and without the lunar soil. The position of the demarcation point implied that the drilling point remained at approximately 6 mm loose soil, thereby lagging the action of the force response. Additionally, a characteristic parameter comparison method was proposed for the lunar and ground drilling to analyze the status of the lunar soil. Furthermore, the analysis results revealed that the majority of the Chang’e-5 drilling samples were derived from 0–73.8 cm below the lunar surface and few samples were extracted below 73.8 cm, as the drilling encountered several rocky regions. Moreover, the drilling point exhibited two prominent stratification variations at ～28.7 cm and ～70 cm below the lunar surface. Ultimately, the preliminary relationship between sample dissected position in soft tube and drilling displacement was analyzed. The segmented estimation results can support research on subsurface lunar soil.     

Technical evaluation of additive manufacturing technologies for in-situ fabrication with lunar regolith

In-Situ Fabrication and Repair can significantly reduce the construction cost of a permanent Moon base by using additive manufacturing (AM) and exploiting local resources instead of bringing all the required materials from Earth. In this article, we evaluate alternative additive manufacturing technologies for building a lunar base and maintaining it across its lifecycle. We compare alternative 3D-printing techniques, already tested for manufacturing with simulants of lunar regolith, using energy, Earth-deliverables consumption, and compressive strength of the produced samples as figures of merit. Based on our analysis, we conclude that Cement Contour Crafting and Stereo-lithography AM techniques are the most promising solutions for the construction of outdoor lunar infrastructure and small precise parts and instruments, respectively.     

月表陨坑检测轻量化深度学习方法

针对目前基于深度学习的陨坑检测方法存在的模型参数量大和检测速度慢的问题，提出了一种轻量化的深度学习陨坑检测方法。首先，采用通道剪枝方法删减卷积神经网络中冗余的卷积核，得到结构紧凑高效的陨坑检测模型。然后，使用轻量化的深度可分离卷积操作替换基础陨坑检测模型中的标准卷积操作，进一步降低了模型的复杂度。仿真实验结果表明，所提出的轻量化陨坑检测模型能够保证较高的像素预测精度，并且能够适应亮度、图像噪声等干扰因素的影响。同时，与轻量化处理前的模型相比，参数量减少了99.2%，检测速度提升了94%。