露天矿点云数据中台阶线提取

doi:10.12068/j.issn.1005-3026.2021.09.015

东北大学学报（自然科学版） ›› 2021, Vol. 42 ›› Issue (9): 1323-1328.DOI: 10.12068/j.issn.1005-3026.2021.09.015

露天矿点云数据中台阶线提取

王植，安世缘，邹俊，张紫瑞

(东北大学资源与土木工程学院，辽宁沈阳110819)

修回日期:2020-10-12 接受日期:2020-10-12 发布日期:2021-09-16
通讯作者: 王植
作者简介:王植(1979-)，男，辽宁沈阳人，东北大学副教授.
基金资助:
中央高校基本科研业务费专项资金资助项目(N170113027).

Step Line Extraction from Point Cloud Data of Open-Pit Mine

WANG Zhi， AN Shi-yuan， ZOU Jun， ZHANG Zi-rui

School of Resources & Civil Engineering，Northeastern University，Shenyang 110819，China.

Revised:2020-10-12 Accepted:2020-10-12 Published:2021-09-16
Contact: WANG Zhi
About author:-
Supported by:
-

摘要/Abstract

摘要： 台阶线信息对于露天开采具有重要价值，现有获取台阶线的方法工作量大、效率低、精度差，降低了矿山的生产效率和验收精度.因此，本文基于序列无人机影像生成的露天矿密集点云数据，研究并提出了一种自动提取露天矿台阶线的方法.该方法利用渐进形态学滤波算法对点云进行预处理，提出一种顾及邻域几何属性的三维边缘检测与曲率指数加权方法提取出台阶线特征点，并使用移动最小二乘法精确拟合出台阶线.实验结果表明该算法可以自动、高效、精确地提取出露天矿台阶线，生成露天开采现状图，对于露天矿生产和安全具有重要的应用价值.

关键词: 露天矿;台阶线;三维点云;曲率;自动提取

Abstract: The information of step line is of great importance to open-pit mining. The existing method of obtaining step line has large workload， low efficiency and poor accuracy， which reduces the production efficiency and acceptance accuracy of the mine.Thus， a method of automatically extracting open-pit mine step lines from the dense point cloud data of open-pit mines generated by sequence UAV images is proposed in this paper. This method uses progressive morphological filtering algorithm to preprocess the point cloud， and a three-dimensional edge detection and curvature index weighting method that takes into account the geometric properties of the neighborhood is proposed to extract the feature points of the step line， then， it uses the moving least squares method to accurately fit the step line. The experimental results show that the algorithm can automatically， efficiently and accurately extract the step line of the open-pit mine， and generate open-pit mining status map. It has important application value for open-pit mine production and safety.

Key words: open-pit mines; step line; 3D point cloud; curvature; automatic extraction

中图分类号:

TD67

王植，安世缘，邹俊，张紫瑞. 露天矿点云数据中台阶线提取[J]. 东北大学学报（自然科学版）, 2021, 42(9): 1323-1328.

WANG Zhi， AN Shi-yuan， ZOU Jun， ZHANG Zi-rui. Step Line Extraction from Point Cloud Data of Open-Pit Mine[J]. Journal of Northeastern University(Natural Science), 2021, 42(9): 1323-1328.

参考文献

[1]Paraskevis N，Roumpos C，Stathopoulos N，et al.Spatial analysis and evaluation of a coal deposit by coupling AHP & GIS techniques ［J］.International Journal of Mining Science and Technology，2019，29(6):943-953.
[2]Ulf K，Torsten G，Reimar S，et al.The Muruntau gold deposit(Uzbekistan)—a unique ancient hydrothermal system in the southern Tien Shan ［J］.Geoscience Frontiers，2016，7(3):495-528.
[3]Demarsin K，Vanderstraeten D，Volodine T，et al.Detection of closed sharp edges in point clouds using normal estimation and graph theory ［J］.Computer-Aided Design，2006，39(4):276-283.
[4]Daniels J I，Ha L K，Ochotta T，et al.Robust smooth feature extraction from point clouds［C］ //Proceedings of IEEE International Conference on Shape Modeling and Applications.Minneapolis，2007:123-136.
[5]马聪聪，李松，曹菁菁，等.基于法向量和密度的点云特征点提取问题研究［J］.计算机应用与软件，2020，37(5):256-260，292.(Ma Cong-cong，Li Song，Cao Jing-jing，et al.Feature points extraction of point cloud based on normal vector and density ［J］.Computer Applications and Software，2020，37(5):256-260，292.)
[6]Rouhani M，Lafarge F，Alliez P.Semantic segmentation of 3D textured meshes for urban scene analysis ［J］.ISPRS Journal of Photogrammetry and Remote Sensing，2017，123:124-139.
[7]Sampath A，Shan J.Building boundary tracing and regularization from airborne lidar point clouds ［J］.Photogrammetric Engineering & Remote Sensing，2007，73(7):805-812.
[8]Xu J Y，Zhou M Q，Wu Z K，et al.Robust surface segmentation and edge feature lines extraction from fractured fragments of relics［J］.Journal of Computational Design and Engineering，2015，2(2):79-87.
[9]Bazazian D，Casas J R，Ruiz-Hidalgo J.Segmentation-based multi-scale edge extraction to measure the persistence of features in unorganized point clouds ［C］// International Joint Conference on Computer Vision，Imaging and Computer Graphics Theory and Applications.Porto，2017:317-325.
[10]Soo-Kyun K.Extraction of ridge and valley lines from unorganized points ［J］.Multimedia Tools and Applications，2013，63(1):265-279.
[11]史皓良，吴禄慎，余喆琦，等.散乱点云数据特征信息提取算法［J］.计算机工程，2017，43(8):279-283.(Shi Hao-liang，Wu Lu-shen，Yu Zhe-qi，et al.Algorithm for feature information extraction from scattered point cloud data ［J］.Computer Engineering，2017，43(8):279-283.)
[12]Zhang K，Chen S C，Whitman D，et al.A progressive morphological filter for removing nonground measurement from lidar data ［J］.IEEE Transactions on Geoscience and Remote Sensing，2003，41(4):872-882.
[13]Hawraa A，Yulia H，David M，et al.A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features ［J］.Computational Visual Media，2018，4(1):17-32.
[14]李燕春.基于特征点的三维人脸识别方法研究［D］.南京:东南大学，2015.(Li Yan-chun.Research of 3D face recognition based on facial landmarks ［D］.Nanjing:Southeast University，2015.)
[15]Lin Y B，Wang C，Cheng J，et al.Line segment extraction for large scale unorganized point clouds ［J］.ISPRS Journal of Photogrammetry and Remote Sensing，2015，102:172-183.
[16]倪欢.机载激光雷达点云多实体多层次分类方法［D］.武汉:武汉大学，2017.(Ni Huan.Multiple-entity based heriarchical classification method for airborne lidar point clouds［D］.Wuhan:Wuhan University，2017.)
[17]贺彤.点云的特征线提取算法研究及应用［D］.太原:中北大学，2018.(He Tong.Research and application of feature line extraction of point cloud［D］.Taiyuan:North University of China，2018.)(上接第1305页)
[2]Shiraishi M，Sato S.Dimensional and surface roughness controls in a turning operation［J］.Journal of Engineering for Industry，1990，112(1):78-83.
[3]Huang P，Lee W B，Chan C Y.Investigation of the effects of spindle unbalance induced error motion on machining accuracy in ultra-precision diamond turning［J］.International Journal of Machine Tools and Manufacture，2015(94):48-56.
[4]Qehaja N，Jakupi K，Bunjaku A，et al.Effect of machining parameters and machining time on surface roughness in dry turning process［J］.Procedia Engineering，2015，100:135-140.
[5]Donaldson R R.A simple method for separating spindle error from test ball roundness error［J］.Annals of CIRP，1972，21(1):125-126.
[6]Sonozaki S，Fujiwara H.Simultaneous measurement of cylindrical parts profile and rotating accuracy using multi-three-point-method［J］.Bulletin of the Japan Society of Precision Engineering，1989，54(11):2095-2100.
[7]Pepin S，Molloy M，Hatch R.Software—the key to making virtual instruments practical［J］.Autotestcon-IEEE，2003，1(1):147-153.
[8]Cappa S，Reynaerts D，Al-Bender F.A sub-nanometre spindle error motion separation technique［J］.Precision Engineering，2014，38(3):458-471.
[9]Grejda R D.Techniques for calibrating spindle with nanometer-error motion［J］.Precision Engineering，2005，29:113-123.
[10]Chen D，Fan J，Zhang F.An identification method for spindle rotation error of a diamond turning machine based on the wavelet transform［J］. International Journal of Advanced Manufacturing Technology，2012，63(5/6/7/8):457-464.
[11]The International Organization for Standardization.Test code for machine tools.Part 7:geometric accuracy of axes of rotation:ISO 230-7-2015 ［S］.Switzerland:ISO，2015.
[12]Martin D L，Tabenkin A N，Parsons F G.Precision spindle and bearing error analysis［J］. International Journal of Machine Tools & Manufacture，1995，35(2):187-193.
[13]Ashok S D，Samuel G L.Modeling，measurement，and evaluation of spindle radial errors in a miniaturized machine tool［J］.International Journal of Advanced Manufacturing Technology，2012，59(5/6/7/8):445-461.
[14]The American Society of Mechanical Engineers.Axes of rotation:methods for specifying and testing:ASME B89.3.4—2010 ［S］.New York:ASME，2010.
[15]陈辉，胡元中，王慧，等.粗糙表面分形特征的模拟及其表征［J］.机械工程学报，2006，42(9):219-223.(Chen Hui，Hu Yuan-zhong，Wang Hui，et al.Simulation and characterization of fractal features of rough surfaces［J］.Chinese Journal of Mechanical Engineering，2006，42(9):219-223.)
[16]邢闽芳.互换性技术测量［M］.北京:清华大学出版社，2007.(Xing Min-fang.Interchangeability technical measurement［M］.Beijing:Tsinghua University Press，2007.)

露天矿点云数据中台阶线提取

Step Line Extraction from Point Cloud Data of Open-Pit Mine

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

编辑推荐

Metrics

本文评价

[1]	郭甲腾，张紫瑞，毛亚纯，刘善军. 基于三维点云的岩体结构面自动分类与参数计算[J]. 东北大学学报:自然科学版, 2020, 41(8): 1161-1166.
[2]	柳小波，张育维. 基于U-Net和Res_UNet模型的传送带矿石图像分割方法[J]. 东北大学学报:自然科学版, 2019, 40(11): 1623-1629.
[3]	郭甲腾，刘寅贺，韩英夫，王徐磊. 基于机器学习的钻孔数据隐式三维地质建模方法[J]. 东北大学学报:自然科学版, 2019, 40(9): 1337-1342.
[4]	柳小波，王连成. 非均匀崩落矿岩散体流动的仿真模型[J]. 东北大学学报:自然科学版, 2017, 38(8): 1167-1172.
[5]	朱忠华，王李管，涂小腾，毕林. 基于随机介质理论自然崩落法矿岩流动特性[J]. 东北大学学报:自然科学版, 2016, 37(6): 869-874.
[6]	李娟莉，姜朔，谢嘉成，孙梦祯. 基于采煤机截割路径的动态三维地质模型构建方法[J]. 东北大学学报（自然科学版）, 2021, 42(5): 706-712.