The Characteristics and Related Problems of the Orbits Around the Earth-Moon Libration Points     

Liu Lin  Tang Jing-shi  Hou Xi-yun 《Chinese Astronomy and Astrophysics》2019,43(2):278-291

Due to the specific dynamics, the probes located at the halo orbits or Lissajous orbits around the Earth-Moon collinear libration point L₁ or L₂ are always studied in the synodic system to understand their trajectories. In fact, they are also orbiting the Earth in a distant Keplerian ellipse. Because of their intrinsic orbital instability, in the orbit prediction the initial errors propagate more prominently than those of the normal orbiting satellites, this requires special attention in the orbit design, maneuver, and control. Despite of all this, they are similar to the normal orbiting satellites in orbit determination and hardly require other special attentions. In this paper, the quantitative results of error propagation under the unstable dynamics, together with the theoretical analysis are presented. The results of precise orbit determination and short-arc orbit predictions are also shown, and compared with the results from the Beijing Aerospace Control Center.  相似文献   

基于移动三维扫描技术的隧道管片错台分析及应用     

赵亚波  王智 《测绘通报》2020,(8):160-163

错台是地铁隧道的主要病害之一，通常是由于盾构机施工控制不好或是隧道荷载发生变化导致，错台的发生也会引起隧道收敛变形及渗水等其他病害。传统手段主要采用人工巡检等方式进行错台情况的检测，由于受夜间窗口期短的影响，该方法效率低，成果难以精确量化。研究采用基于轨道的隧道移动三维激光扫描系统对隧道错台进行检测，通过快速获取隧道三维点云生成正射影像，并基于正射影像进行管片的划分及里程的匹配，进而根据每一环的三维点云信息计算管片错台情况。以青岛地铁2号线为例，本文介绍了移动扫描技术在地铁隧道管片错台检测的应用情况，为该技术在其他隧道的推广应用提供了一定的借鉴意义。  相似文献   

四元组标靶辅助下的RGB-D室内点云配准     

杨海舰  徐二帅  陈文佳  许志华 《测绘通报》2020,(12):32-36

面向室内弱纹理三维重建需求，本文以RGB-D摄影测量技术获取室内点云为基础，提出了四元组标靶辅助的点云配准方法。该方法首先通过阈值筛选大曲率点，自动识别邻接点云中的辅助标靶，然后采用随机采样一致性表达方法，拟合标靶参数及其中心坐标，并根据拟合参数匹配同名标靶中心，通过刚性转换完成邻接点云粗配准。在此基础上，迭代估算邻接点云间的重叠区域，优化点云间的配准参数，从而实现点云精配准。利用Kinect相机获取两类室内场景各12站点云对本文方法进行测试，试验结果表明，配准后的多站点云间距最大均方根误差优于一个采样间隔，证明了该方法在弱纹理室内点云配准中的可靠性。  相似文献   

移动测量技术在城市绿化普查中的应用     

庞岩  孙国强  解全波 《北京测绘》2020,(4):518-522

在新时代的城市建设中,绿化建设对于美化城市面貌和提高市民居住舒适度显得十分重要,那么城市绿化普查工作则成为绿化建设工作中的重要一环。为了改进传统绿化普查工作,本文提供一整套基于移动测量技术的城市绿化普查方案,搭配自主研发的GIS采集软件和实景三维管理平台,采集绿化信息的效率和精度显著提高,更可以优化城市绿化管理方法。  相似文献   

Seismic fracture evaluation of diaphragm joints in welded beam-to-box column moment connections     

Ching-Yi Tsai  Keh-Chyuan Tsai  Chao-Hsien Li  Chung-Che Wu  Ker-Chun Lin  Sheng-Jhih Jhuang 《地震工程与结构动力学》2020,49(13):1344-1362

Steel box columns are widely used in steel building structures in Taiwan due to their dual strong axes. To transfer the beam-end moment to the column, diaphragm plates of the same thickness and elevations as the beam flanges are usually welded inside the box column. The electro-slag welding (ESW) process is widely used to connect the diaphragms to the column flanges in Taiwan because of its convenience and efficiency. However, ESW may increase the hardness of the welds and heat-affected zones (HAZs), while reducing the Charpy-V notch strength in the HAZ. This situation can cause premature fracture of the diaphragm-to-column flange welds before a large plastic rotation is developed in the beam-to-box column joints. To quantify the critical eccentricity and the effectiveness of fracture prediction, this study uses fracture prediction models and finite element model (FEM) analysis to correlate the test results. In this study, two beam-to-box column connection subassembly tests are conducted with different loading protocols and ESW chamber shapes. To implement a fracture prediction model, the material parameters are established from circumferential notched tensile tests and FEM analysis. Test results indicate that the fracture instances can be predicted on the basis of the cumulative plastic deformation in the HAZs. Analytical results indicate that fracture instances and locations are sensitive to the relative locations of the ESW joints and beam flange. Tests also confirm that the possible fracture of the diaphragm-to-column flange joints can be mitigated by enlarging the chamber of the ESW joint.  相似文献   

Water quality monitoring at a virtual watershed monitoring station using a modified deep extreme learning machine     

Jian Jin  Lei Li  Huan Xu  Guang Lin 《水文科学杂志》2020,65(3):415-426

ABSTRACT

A new deep extreme learning machine (ELM) model is developed to predict water temperature and conductivity at a virtual monitoring station. Based on previous research, a modified ELM auto-encoder is developed to extract more robust invariance among the water quality data. A weighted ELM that takes seasonal variation as the basis of weighting is used to predict the actual value of water quality parameters at sites which only have historical data and no longer generate new data. The performance of the proposed model is validated against the monthly data from eight monitoring stations on the Zengwen River, Taiwan (2002–2017). Based on root mean square error, mean absolute error, mean absolute percentage error and correlation coefficient, the experimental results show that the new model is better than the other classical spatial interpolation methods.  相似文献   

最优权组合预测法在采煤沉陷变形预测中的应用   总被引：1，自引：0，他引：1  

鲁小红 《测绘通报》2020,(4):111-115

煤矿地表沉降变形预测多基于煤矿开采沉陷预计理论展开，基于变形分析理论的变形预测模型目前多集中在单模型预测。本文基于组合预测思想，以非等间隔灰色预测模型与BP神经网络模型为预测单模型，以陕西北部某煤矿采煤工作面上方实测地表沉降值为数据源，以最优加权法对单模型预测结果开展了最优权组合，组合模型中两种单模型的权重分别为0.466 7、0.533 3。选取部分监测点的预测结果进行模型精度评价，结果表明：3种预测模型精度均达到了一级。经对比3种模型预测结果，最优权组合预测的模型精度较单模型明显提升，预测结果较非等间隔灰色预测模型与BP神经网络预测模型有明显增益。  相似文献   

旋翼无人机载激光雷达在农村不动产权籍调查中的应用     

吉绪发 《测绘通报》2020,(7):152

我国越来越重视农村的发展，目前各地都在积极开展农村不动产权籍调查工作，该工作时间紧迫，对数据精度要求较高。在农村不动产权籍调查中，本文针对传统外业全野外调绘所带来的低效率问题，提出了利用旋翼无人机载激光雷达进行调绘的方法，并且通过实例验证了该方法相较于传统测绘方式能够提高测绘的效率且测绘精度符合最终要求。  相似文献   

激光扫描与无人机一体化控制下的复杂体育场馆高精度三维重建     

杨俊  王志鹏  祝凯  李淑红  焉石  胡春梅 《测绘通报》2020,(12):21-26

针对复杂体育场馆外部精细建模在完整性和精度方面存在的问题，本文提出了地面控制、地面激光扫描、无人机建模控制一体化的高精度建模方法。首先应用特制标志建立区域内控制、扫描、无人机高精度一体化坐标系统；其次对地面多站激光扫描点云结合控制坐标进行区域整体平差配准，生成一体化坐标系统下高精度地面点云模型；然后应用无人机数据和控制点生成一体化坐标下的高精度顶部数据；最后融合两种数据生成对象完整高精度精细模型。试验证明，整体平差解算方法可实现多站点云的高精度配准，一体化控制可实现非同源异质数据高精度融合，解决了复杂建筑对象的高精度建模问题，具有很大的实用价值。  相似文献   

多视密集匹配并行传播GPU-PatchMatch算法     

邓非  颜青松  肖腾 《测绘学报》2020,49(2):181-190

针对多视密集匹配的效率较低的问题,提出了GPU-PatchMatch多视密集匹配算法。该算法使用GPU提高PatchMatch的计算效率;同时充分利用稀疏场景信息,对深度信息进行规则初始化;为提高传播效率,使用了金字塔红黑板并行传播深度信息。最后在DTU、Strecha和Vaihigen数据集上进行了试验,并与常用的多视密集匹配算法进行对比。试验结果表明,本文算法在重建效率上有较大提高,与CPU算法(PMVS、MVE、OpenMVS)相比有7倍以上提升,与GPU算法相比也有2.5倍以上提升,表明本文算法的有效性。  相似文献