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周清华, 杨璟林, 李纯, 张轩. 京张高铁八达岭地下站及隧道工程信息模型一致性表达[J]. 铁路计算机应用, 2022, 31(10): 26-32. DOI: 10.3969/j.issn.1005-8451.2022.10.06
引用本文: 周清华, 杨璟林, 李纯, 张轩. 京张高铁八达岭地下站及隧道工程信息模型一致性表达[J]. 铁路计算机应用, 2022, 31(10): 26-32. DOI: 10.3969/j.issn.1005-8451.2022.10.06
ZHOU Qinghua, YANG Jinglin, LI Chun, ZHANG Xuan. Consistent expression of information model of Badaling underground station and tunnel engineering[J]. Railway Computer Application, 2022, 31(10): 26-32. DOI: 10.3969/j.issn.1005-8451.2022.10.06
Citation: ZHOU Qinghua, YANG Jinglin, LI Chun, ZHANG Xuan. Consistent expression of information model of Badaling underground station and tunnel engineering[J]. Railway Computer Application, 2022, 31(10): 26-32. DOI: 10.3969/j.issn.1005-8451.2022.10.06

京张高铁八达岭地下站及隧道工程信息模型一致性表达

Consistent expression of information model of Badaling underground station and tunnel engineering

  • 摘要: 北京—张家口高速铁路是国内第一条全线、全生命周期内所有专业均应用建筑信息建模技术的智能高速铁路。文章结合京张高铁重点工程—八达岭地下站和隧道工程BIM应用,基于铁路工程BIM技术标准,重点研究多专业设计数据一致性表达,构建了八达岭地下站和隧道工程的全要素信息模型,并利用中铁工程设计咨询集团有限公司开发的铁路多专业数字化协同设计软件,搭建了一个协同设计平台,使传统上离散的各专业设计数据能够实现集成展示,方便设计方案的对比和优化,有助于提升设计效率和质量,实现铁路工程的智能化建造。此外,提出将全要素信息模型与能够反映铁路基础设施运营维护阶段真实状况的海量三维点云数据融合起来,为运营维护阶段基础设施一致性检测提供支持。

     

    Abstract: Beijing-Zhangjiakou high-speed railway is the first intelligent high-speed railway in China in which building information modeling is applied to all specialties in the whole line and the whole life cycle. In combination with the BIM applications of its key project - the Badaling underground station and tunnel engineering, we focus on consistency expression of multiple specialty design data based on relevant BIM standards for railway engineering, build the full feature data model of Badaling underground station and tunnel engineering and set up a multi-specialty collaborative design platform by using the digital railway multi-specialty collaborative design software developed by China Railway Engineering Design Consulting Group Co.. This platform can enable integrated display of traditional discrete design data of specialties and facilitate the comparison and optimization of design schemes, thus conducive to improve the design efficiency and quality and realize the intelligent construction of railway engineering. Besides, we propose to fuse the full feature data model with massive 3D point cloud data that can reflect real situation of railway infrastructure in the operation and maintenance stage, so as to provide support for the consistency checking of railway infrastructure in the operation and maintenance stage.

     

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