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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:

第44卷

期数:

2022年第06期

页码:

1066-1082

栏目:

纪念刘国昌先生诞辰110周年专辑

出版日期:

2022-11-15

文章信息/Info

Title:

Construction of 3D Real Scene Model of High-steep Rock Slope Surface and Development of Automatic Interpretation Method and Platform of Rock Mass Discontinuous

文章编号:

1672-6561(2022)06-1066-17

作者:

董文川; 张 文^*; 李腾跃; 陈俊淇; 王 佳; 李万堃; 尹 韩; 赵潇涵; 蓝 升; 潘晓娟

(吉林大学 建设工程学院,吉林 长春 130026)

Author(s):

DONG Wen-chuan;  ZHANG Wen^*;  LI Teng-yue;  CHEN Jun-qi;  WANG Jia;  LI Wan-kun;  YIN Han;  ZHAO Xiao-han;  LAN Sheng;  PAN Xiao-juan

(College of Construction Engineering, Jilin University, Changchun 130026, Jilin, China)

关键词:

工程地质;  岩体结构面;  多角度贴近摄影;  尖点突变;  三维实景模型;  三维点云模型;  自动解译;  西藏

Keywords:

engineering geology;  structural plane of rock mass;  multi-angle nap-of-the-object photogrammetry;  cusp mutation;  3D real scene model;  3D point cloud model;  automatic interpretation;  Tibet

分类号:

TU45; TP391.4

DOI:

10.19814/j.jese.2022.10053

文献标志码:

A

摘要:

对于高陡岩质斜坡而言,三维实景建模精度较低且自动解译困难。提出一种基于无人机多角度贴近摄影测量技术的高精度三维实景模型构建方法,实现毫米级三维实景模型的构建,为后续结构面的精细解译提供数据支撑。同时,将突变理论运用到由实景模型生成的三维岩体结构面点云检测中,通过在尖点突变模型中判断点云物理信息是否处于突变状态,实现结构面的自动识别,简化了传统算法需要输入大量参数的过程。在此基础上,开发了岩体结构面自动解译(ARFD-RMS)平台,实现了岩体结构面识别与解译过程的自动化和可视化。利用上述方法,以西藏昌都地区色曲特大桥北岸高陡岩质斜坡为实验对象,构建出毫米级三维实景模型,识别并解译出斜坡中结构面明显出露区域的659条裂隙,并通过与人工罗盘测量的结构面数据对比,自动解译结果的误差在6°以内,验证了算法的准确性。此外,通过开源点云数据集测试了ARFD-RMS平台的适用性,结果表明该平台能胜任不同地区的结构面解译任务。

Abstract:

The 3D modeling accuracy of high-steep rock slopes is low, and the automatic interpretation of surface rock mass is difficult. A high-precision 3D real scene model construction method based on UAV multi-angle nap-of-the-object photogrammetry technology was proposed, which realized the construction of millimeter 3D real scence model and provided data support for the subsequent fine interpretation of structural planes. At the same time, the mutation theory was applied to the 3D point cloud model generated by the 3D real scene model. By judging whether the physical information of the point cloud is in the mutation state in the cusp mutation model, the automatic identification of discontinuities is realized, which simplifies the process of traditional algorithm requiring input of a large number of parameters. On this basis, the automatic rock discontinuity interpretation and identification(ARFD-RMS)platform is developed to realize the automation and visualization of the rock discontinuity identification and interpretation process. Using the above methods, the high-steep rock slope on the northern bank of Sequ grand bridge in Changdu area of Tibet was taken as the research object, and a 3D real scene model of millimeter scale was constructed, which identified and interpreted 659 fractures in the slope where the structural plane was obviously exposed. Compared with manual measurement data, the error of interpretation results is within 6°. In addition, the applicability of the ARFD-RMS platform is tested through open source point cloud datasets, and the results show that the platform is competent for interpretation of structural plane in different regions.

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备注/Memo

备注/Memo:

收稿日期:2022-10-25
基金项目:国家自然科学基金项目(42022053,41877220); 国家重点研发计划青年科学家项目(2022YFC3080200)
作者简介:董文川(1999-),男,四川巴中人,工学硕士研究生,E-mail:1036871498@qq.com。
*通讯作者:张 文(1985-),男,山东临沂人,教授,博士研究生导师,工学博士,E-mail:zhang_wen@jlu.edu.cn。

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更新日期/Last Update: 2022-11-25