Exploration of multi-source laser point cloud modeling in bridge maintenance

doi:10.13474/j.cnki.11-2246.2024.0229

Abstract

Abstract: Under the influence of serious road load and secondary geological disasters, the daily maintenance of complex mountain highway bridges has brought great challenges. Using bridge 3D modeling technology to carry out online visualization, and installing monitoring equipment on key bridge sections, online monitoring of bridge health has become a new technical means. For roads and bridges that have been operating for a long time, the as-built design drawings are difficult to find and the real bridge model can not be reproduced through the drawings. Therefore, the ground-station laser and vehicle-mounted laser are combined to scan the bridges that have been operating for a long time, and the point cloud data obtained by the two methods are registered and filtered, and then the monomer modeling is carried out. Restore the real structure of the bridge. At the same time, using the highway industry BIM model standard, the components of the monomer bridge are split and coded to form a standardized bridge unit module. On this basis, GIS technology is used to develop expressway infrastructure platform, and bridge maintenance related operation modules are associated to realize online inspection and maintenance of existing expressway bridges.

Key words: multi-source LiDAR, point cloud filtering, 3D modeling, componentization, bridge maintenance

CLC Number:

P237

LIU Shuangchen, LI Shengfu, JIA Yang. Exploration of multi-source laser point cloud modeling in bridge maintenance[J]. Bulletin of Surveying and Mapping, 2024, 0(2): 157-160,177.

References

[1] 刘天成,程潜,王小宁,等. 基于BIM的平塘特大桥建养多源信息融合技术及系统研发[J]. 公路,2019,64(9): 12-17.
[2] 杨必胜,董震. 点云智能研究进展与趋势[J]. 测绘学报,2019,48(12): 1575-1585.
[3] 方勇,龚辉,张丽,等. 从全球激光点云到三维数字地球空间框架:全球精确测绘进阶之路[J]. 激光与光电子学进展,2022,59(12): 1200002.
[4] 刘亚坤,刘会云,李永强,等. 基于多源激光点云融合的建筑物BIM建模[J]. 地球信息科学学报,2021,23(5): 764-773.
[5] 梁涛,韩峰,陈国栋. 基于连续点云数据的既有铁路轨面信息快速提取算法设计[J]. 铁道科学与工程学报,2021,18(10): 2544-2551.
[6] LIU M,YOU Y,LI M,et al. Research on the construction of BIM visualization model based on 3D laser point cloud data[C]//Proceedings of 2018 International Conference on Computational Modeling,Simulation and Applied Mathematics.[S.l]:DEStech Transactions on Computer Science and Engineering,2018:75-78.
[7] 徐杰,侯飞,曹广航. 高精道路地图制作方法及关键技术[J]. 测绘通报,2022(1): 155-158.
[8] 赵焰,曹聿铭,黄鹤. 基于车载激光点云的高精地图矢量化成图[J]. 测绘通报,2021(12): 105-109.
[9] 李鹏,马建芳. 融合点云及倾斜摄影三维单体化建模技术研究[J]. 测绘通报,2021(S1): 29-32.
[10] 许梦兵,刘先林,仲雪婷,等. 结合地面点和杆状物的车载激光点云自动配准方法[J]. 中国激光,2023,50(2): 3788.
[11] SHI Shixi,ZHOU Yifu,SUN Yang,et al. Research and engineering implementation of laser point cloud 3D target recognition algorithm in complex scene[J]. Journal of Physics: Conference Series,2021,1828(1): 012155.
[12] 闫利,李赞. 车载激光点云道路标线提取方法[J]. 遥感信息,2018,33(1): 1-6.
[13] 方莉娜,沈贵熙,游志龙,等. 融合点云和多视图的车载激光点云路侧多目标识别[J]. 测绘学报,2021,50(11): 1558-1573.
[14] 蒋鑫吴,赵志远,方莉娜,等. 基于LightGBM的车载激光点云电力线快速提取方法[J]. 测绘科学技术学报,2019,36(5): 494-499.
[15] YAO L,QIN C,CHEN Q,et al. Automatic extraction and recognition of road markings based on vehicle laser point cloud[J]. ISPRS Annals of Photogrammetry,Remote Sensing and Spatial Information Sciences,2020,5(2): 313-319.
[16] 刘永吉,李佳恩,吴翔. 对接Revit平台的古建点云快速分类研究[J]. 激光与红外,2022,52(2): 280-286.
[17] 宋永存. 多视激光点云数据融合与三维建模方法研究[J]. 测绘通报,2017(5): 79-81.
[18] 宋健,刘泓佚,杜永军,等. 基于混凝土组合箱梁残缺三维激光点云的自动逆向建模方法[J]. 世界桥梁,2022,50(1): 72-78.
[19] 郭梅. 基于BIM技术的桥梁健康监测信息可视化管理及监测预警研究[D]. 成都: 西南交通大学,2020.
[20] 王纪君. 基于BIM+GIS的桥梁在线监测系统的设计与实现[D]. 西安: 长安大学,2020.