[1]聂楠,刘峰,蔡文枫.新塘站实景三维数据采集及结构化建模应用[J].高速铁路技术,2025,16(06):16-22.[doi:10.12098/j.issn.1674-8247.2025.06.003]
　NIE Nan,LIU Feng,CAI Wenfeng.Real-scene 3D Data Acquisition and Structured Modeling Application of Xintang Station[J].HIGH SPEED RAILWAY TECHNOLOGY,2025,16(06):16-22.[doi:10.12098/j.issn.1674-8247.2025.06.003]
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新塘站实景三维数据采集及结构化建模应用()

《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]

卷:
16卷
期数:
2025年06期
页码:
16-22
栏目:
勘察设计
出版日期:
2025-12-30

文章信息/Info

Title:
Real-scene 3D Data Acquisition and Structured Modeling Application of Xintang Station
文章编号:
1674-8247(2025)06-0016-07
作者:
聂楠1; 刘峰2; 3; 蔡文枫1
(1. 中国铁路广州局集团有限公司, 广州510180; 2. 中国铁道科学研究院集团有限公司, 北京100081; 3. 铁科院(深圳)研究设计院有限公司, 广东 深圳 518063)
Author(s):
NIE Nan1;  LIU Feng2; 3;  CAI Wenfeng1
(1. China Railway Guangzhou Group Co., Ltd., Guangzhou 510180, China; 2. China Academy of Railway Sciences Group Co., Ltd., Beijing 100081, China; 3. CARS(Shenzhen)Research & Design Institute Co., Ltd., Shenzhen 518063, China)
关键词:
铁路;  数据采集;  结构化建模;  模型重建;  倾斜摄影;  点云
Keywords:
railway;  data acquisition;  structured modeling;  model reconstruction;  oblique photogrammetry;  point cloud
分类号:
U291; TU17
DOI:
10.12098/j.issn.1674-8247.2025.06.003
文献标志码:
A
摘要:
在铁路基础设施数字化建模领域,建筑实体的三维信息化呈现面临多源数据整合困难、几何特征不完整、约束条件不足以及海量数据处理等技术挑战。本文以新塘铁路站房及线路的主体结构数字化重构为研究对象,提出一种融合无人机倾斜摄影技术与地面激光扫描技术的精细化三维建模方法。该方法通过深度融合光学影像数据与激光点云数据,实现真实场景的三维数字化表达; 同时整合多种来源的点云数据,完成虚拟场景的三维模型构建,最终形成具有高空间精度、完整属性信息以及高保真表面特征的三维数字化成果。
Abstract:
In the field of digital modeling of railway infrastructure, the 3D digital representation of building entities faces multiple technical challenges, including difficulties in multi-source data integration, incomplete geometric features, insufficient constraint conditions, and massive data processing. Taking the digital reconstruction of the main structure of Xintang Railway Station building and tracks as the research subject, this paper proposed a high-precision 3D modeling approach that integrates drone-based oblique photogrammetry with LiDAR. By deeply fusing optical image data and LiDAR point cloud data, the approach achieves an 3D digital representation of the real scenes. Moreover, it integrates multi-source point cloud data to construct a 3D model of virtual scenes, ultimately delivering a high-precision, fully attributed, and high-fidelity digital 3D outcome.

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备注/Memo

备注/Memo:
收稿日期:2025-07-08
作者简介:聂楠(1983-),男,高级工程师。
基金项目:广东省重点领域研发计划(ASZ19S013); 中国国家铁路集团有限公司科技研究开发计划(K2023G042); 中国铁路广州局集团有限公司科技研究开发计划课题(2022K072-Z)
更新日期/Last Update: 2025-12-30