锚固站对BDS自主导航精度的影响分析     

龚晓颖  蔡诗响 《测绘通报》2020,(4):68-75

介绍了自主导航的轨道确定及时间同步观测方程。以北斗仿真全星座为对象，通过采用仿真星间及卫星与地面锚固站间观测值，进行了60 d自主导航解算，分别探讨了锚固站数量及锚固站观测连续性对北斗卫星导航系统（BDS）3类卫星自主导航精度的影响。结果表明：锚固站数量及观测连续性对RERR及CERR无影响；加入1个锚固站即可显著改进URE结果精度，继续增加锚固站数量虽然可进一步提高URE精度但其改进效果有限；锚固站观测中断时间越长，其对应自主导航精度越低。因此，在BDS自主导航运行模式下应保持较高的锚固站观测频次以保证自主导航精度；另外，锚固站数量及观测连续性对北斗系统3类卫星自主导航精度的影响无显著差异。  相似文献   

Application of PSO-LIBSVM in Recognition of Potassium Salt Deposits     

Fuqiang Yang  Kegui Chen  Changbing Huang  Yuanyuan Chen  Jin Li  Xiaolin Ma 《地球科学进展》2019,34(7):757-764

The shortage of potassium salt seriously restricts the development of China's agriculture. Increasing the exploration and development of potash will help improve the self-sufficiency of potassium in China. With rich potassium salt resources, Sichuan basin is one of the most important research areas for potash exploration and development in China. Polyhalite is an important solid potassium salt mineral in Sichuan basin, often intercalated in rock minerals such as anhydrite, rock salt and dolomite. Aiming at the problem that conventional log interpretation methods are difficult to accurately identify polyhalites, this paper proposed a new Support Vector Machine (SVM) recognition method based on Particle Swarm Optimization (PSO) to classify polyhalites in Sichuan basin. Based on particle swarm optimization and support vector machine theory, combined with logging interpretation theory, the effective data sensitive to polyhalite logging response were selected as input samples to generate training sets and test sets randomly. The Radial Basis Function (RBF) parameters were optimized by particle swarm optimization, and the classification and prediction model of polyhalite was established. Compared with mud logging results, the recognition accuracy of SVM model based on particle swarm optimization reached 97.5758%, which is obviously better than that of SVM model optimized by cross validation method in recognition accuracy and speed. The results show that the model has broad application prospects in potash exploration in Sichuan basin.  相似文献   

利用GLAS激光测高数据评估DSM产品质量及精度优化   总被引：2，自引：0，他引：2  

胡柳茹  唐新明  李国元  付冬暇  窦显辉  赵世湖 《测绘通报》2019,(11):39-43

提出了一种利用卫星激光测高数据直接优化提升数字表面模型（DSM）产品精度的方法。选取境外中亚地区的资源三号DSM开展试验，通过采用多准则约束方法提取激光高程控制点，分别利用偏度、中值、线性、二次多项式等进行DSM误差修正，发现4种模型均能有效消除DSM系统误差，其中基于二次多项式的方法更适用于平地和丘陵地貌，线性模型更适用于高山地貌。试验验证了采用卫星激光测高数据优化境外DSM技术流程的可行性，最终可提高DSM的绝对高程精度。  相似文献   

扎鲁特地区无烟煤分子结构特征和模型构建     

张帅  马汝嘉  刘路  张浩  刘钦甫 《煤田地质与勘探》2020,48(1):62-69

为了构建内蒙古扎鲁特地区无烟煤的分子结构模型，采用工业分析、元素分析、核磁共振碳谱、高分辨率透射电镜和X射线光电子能谱等测试方法对该地区无烟煤的分子结构进行研究。结果表明无烟煤分子结构中以芳香碳为主，脂肪碳以短烷基侧链和环烷烃为主。煤分子结构中氧原子主要以酚羟基和醚氧基的形式存在，氮原子主要以吡咯型氮和吡啶型氮的形式存在，硫原子主要的赋存形态是硫醇硫酚。结合由核磁共振碳谱测得的煤结构参数和由高分辨率透射电镜测得的芳香环尺寸和含量，构建了无烟煤大分子平均结构模型。对构建的模型进行了结构优化与能量分析，发现煤分子结构的芳香片层趋于平行排列，非键结势能中的范德华力是保持煤结构稳定的主要因素。本研究为采用分子动力学模拟从分子尺度研究扎鲁特地区无烟煤在石墨化过程中，其芳香碳层的拼叠过程及其反应路径提供了模型基础。   相似文献   

Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization     

Ci Song  Ting Ma  Yunyan Du  Hua Shu  Sihui Guo 《International journal of geographical information science》2019,33(1):134-154

An origin-destination (OD) flow can be defined as the movement of objects between two locations. These movements must be determined for a range of purposes, and strong interactions can be visually represented via clustering of OD flows. Identification of such clusters may be useful in urban planning, traffic planning and logistics management research. However, few methods can identify arbitrarily shaped flow clusters. Here, we present a spatial scan statistical approach based on ant colony optimization (ACO) for detecting arbitrarily shaped clusters of OD flows (AntScan_flow). In this study, an OD flow cluster is defined as a regional pair with significant log likelihood ratio (LLR), and the ACO is employed to detect the clusters with maximum LLRs in the search space. Simulation experiments based on AntScan_flow and SaTScan_flow show that AntScan_flow yields better performance based on accuracy but requires a large computational demand. Finally, a case study of the morning commuting flows of Beijing residents was conducted. The AntScan_flow results show that the regions associated with moderate- and long-distance commuting OD flow clusters are highly consistent with subway lines and highways in the city. Additionally, the regions of short-distance commuting OD flow clusters are more likely to exhibit ‘residential-area to work-area’ patterns.  相似文献   

Optimizing dewatering design for a metro station on the Chengdu Metro Line 7          下载免费PDF全文

LI Ke  KANG Xiao-bing 《地下水科学与工程》2019,7(2):155-164

At present, most calculation results regarding foundation pit dewatering are ideal values, making construction resources prone to being wasted. In order to optimize the traditional pipe well design of large wells, the linear programming solution module in Excel is used, with the total water inflow taken as the objective function, the water level drawdown used as the constraint and test condition, and a station project on the Chengdu Metro Line 7 serving as the subject of this study. The total water inflow of the traditional pipe well design is optimized by the simplex method, producing a total water inflow of 4 040.65 m~3/d, which, compared with 4 829.79 m~3/d, the total water inflow calculated by means of the traditional design optimization method, engenders a reduction of roughly 16% per day. The feasibility of the optimization methodology is verified by the drawdown constraint, which reveals the decrease of construction costs and the diminution of the influence that the lowered groundwater level has on the surroundings of the metro station. Finally, references are provided as to optimizing the dewatering designs for other metro stations in similar engineering and hydrogeological conditions.  相似文献   

细粒含量对冰碛土抗剪强度影响的实验研究   总被引：1，自引：1，他引：0  

蒋德旺  崔鹏  王姣  李战鲁  殷延洲  雷鸣宇 《冰川冻土》2019,41(1):129-139

为研究细粒组颗粒在浸水/降雨条件下产生迁移对冰碛土抗剪强度的影响，从西藏林芝市帕隆藏布嘎隆寺沟流域内采取冰碛土样品，进行7种不同细粒（粒径小于2 mm）含量情况下的冰碛土比重和相对密度的测试，开展了不同围压下的大型饱和固结不排水三轴（CU）实验。结果表明：（1）细粒含量对干密度的影响较小，不同细粒含量的冰碛土孔隙比大致相同，细颗粒对孔隙具有改造作用，不同细粒含量会引起孔隙结构的差异，从而导致冰碛土的结构差异，最终导致抗剪强度的不同；（2）细颗粒迁移导致冰碛堤坡脚和内部一定深度细粒含量较高，达到一定的量值时，抗剪强度明显降低，冰碛堤容易发生剪切破坏；（3）细粒含量对抗剪强度参数的变化具有重要影响，从中还可以反映出冰碛土结构控制的变化：粗颗粒控制→粗细颗粒共同控制→细颗粒控制。研究结果对于评价冰碛堤的稳定性具有重要意义。  相似文献   

基于AUKF的框架结构离线模型更新混合试验方法     

陈凡  郭玉荣 《地震工程与工程振动》2020,(1):162-170

模型更新混合试验在传统混合试验方法的基础上更新与试验构件具有相同恢复力特性的构件,扩展了混合试验方法的应用范围。本文旨在提高模型更新混合试验的精度,降低试验的成本并简化模型更新混合试验方法的流程。自适应UKF(AUKF)算法在传统UKF的基础上加入方差自适应模块,能够减轻初始参数设定对参数识别结果的影响,本文基于AUKF提出一种模型更新混合试验方法。对以Bouc-Wen为恢复力模型的防屈曲约束支撑(BRB)进行低周反复加载虚拟试验,通过Matlab编制AUKF算法程序进行参数识别,验证了AUKF算法的高效准确性。对一榀8层4跨带BRB的钢框架进行混合试验数值仿真,结果表明离线模型更新试验结果较在线模型更新更接近真实结果,且简化了试验流程。  相似文献   

An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing     

《International Journal of Applied Earth Observation and Geoinformation》2020

New Earth observation missions and technologies are delivering large amounts of data. Processing this data requires developing and evaluating novel dimensionality reduction approaches to identify the most informative features for classification and regression tasks. Here we present an exhaustive evaluation of Guided Regularized Random Forest (GRRF), a feature selection method based on Random Forest. GRRF does not require fixing a priori the number of features to be selected or setting a threshold of the feature importance. Moreover, the use of regularization ensures that features selected by GRRF are non-redundant and representative. Our experiments based on various kinds of remote sensing images, show that GRRF selected features provides similar results to those obtained when using all the available features. However, the comparison between GRRF and standard random forest features shows substantial differences: in classification, the mean overall accuracy increases by almost 6% and, in regression, the decrease in RMSE almost reaches 2%. These results demonstrate the potential of GRRF for remote sensing image classification and regression. Especially in the context of increasingly large geodatabases that challenge the application of traditional methods.  相似文献   

基于MATLAB的铁路路基沉降预测优化方法     

刘鹏鹏  李仲勤 《北京测绘》2020,(4):580-583

高速铁路路基的工后沉降严重影响着行车安全。在已有的预测模型中,所采用的初始数据往往不能满足等时间周期采集,而且还会伴随着一系列不可避免的观测误差,模型本身的误差累计,不能进行长期预测。文中利用最小二乘原理对初始值进行拟合改进,采用Lagrange插值方法将非等间隔序列转为等间隔序列,并基于新陈更替GM(1,1)模型利用MATLAB建立沉降预测模型;在此基础上,提出对模型残差进行GM改正以提高模型精度的方法。研究表明,通过对初始值序列改正后的模型具有较好的适应性,优化改进后的模型预测误差小,预测精度优于新陈更替GM(1,1)模型。  相似文献