A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data

YU Caizhao; WANG Haitao; SONG Tianshuai; ZHENG Jiarong; LIU Zhansheng; YANG Kai; LIU Junjie

doi:10.3724/j.gyjzG23111320

Volume 54 Issue 5

May 2024

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Abstract

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2024 > 54(5): 16-24

YU Caizhao, WANG Haitao, SONG Tianshuai, ZHENG Jiarong, LIU Zhansheng, YANG Kai, LIU Junjie. A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 16-24. doi: 10.3724/j.gyjzG23111320

Citation:

YU Caizhao, WANG Haitao, SONG Tianshuai, ZHENG Jiarong, LIU Zhansheng, YANG Kai, LIU Junjie. A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 16-24. doi: 10.3724/j.gyjzG23111320

Citation:

YU Caizhao, WANG Haitao, SONG Tianshuai, ZHENG Jiarong, LIU Zhansheng, YANG Kai, LIU Junjie. A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 16-24. doi: 10.3724/j.gyjzG23111320

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A Digital Delivery Method for Large Underground Spaces Integrating Multi-source and Multi-dimensional Data

doi: 10.3724/j.gyjzG23111320

1. Shanghai Baoye Group Corp., Ltd., Shanghai 201900, China;
2. Beijing University of Technology, Beijing 100124, China

Received Date: 2023-11-13
Available Online: 2024-06-22

Abstract

Abstract

With the continuous improvement of the level of informationization, the drawbacks of the traditional as-built delivery mode are becoming more and more prominent. In order to solve the problems of low efficiency of traditional as-built delivery and poor availability of delivery data in large underground space scenarios, a digital delivery method that integrates multi-source and multi-dimensional data with database as the core was proposed. Firstly, the digital twin framework for large underground spaces was established, and the digital delivery process was proposed based on this framework, and the collection, transmission, storage and management methods of delivery data were also proposed; then, according to the multi-source and multi-dimensional characteristics of the delivery data of large underground space scenarios, the design principles of the delivery platform, the delivery content, the functional framework and the application scenarios were discussed in detail; finally, the digital delivery work was carried out by combining the engineering examples, and the results showed that the proposed digital delivery method could be utilized by the database as the core of the delivery data. Finally, the digital delivery work was carried out with engineering examples, and the results showed that the proposed delivery method could significantly improve the delivery efficiency and save the management cost, and at the same time formed data assets with certain economic and information value.
- digital delivery,
- multi-source and multi-dimensional data,
- data fusion,
- large underground space,
- digital twin,
- tagging

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References(21)

References

[1]	任娇,田砾,肖绍华,等.建筑信息建模技术在某地下车库中的应用研究[J].工业建筑,2019,49(8):202-206.
[2]	汪再军,周迎.基于BIM的建设工程竣工数字化交付研究[J].土木建筑工程信息技术,2021,13(4):13-22.
[3]	HWANG B G, NGO J, HER P W Y. Integrated digital delivery: implementation status and project performance in the Singapore construction industry[J/OL]. Journal of Cleaner Production, 2020[2020-03-01].https://doi.org/10.1016/j.jclepro.2020.121396.
[4]	孙丽丽. 创新构建集成化设计与数字化交付平台助推智慧城市建设[J]. 科技进步与对策, 2018, 35(24): 86-92.
[5]	张峰. 公路工程信息模型设计交付标准研究[J]. 公路, 2019, 64(4): 197-201.
[6]	李辉, 雷俊, 丁罕, 等. 公路工程集成数字化交付模式研究[J]. 公路, 2022, 67(8): 291-297.
[7]	王焕松, 于胜利, 刘伟, 等. 陆路交通基础设施数字化交付标准研究[J/OL]. 铁道标准设计,2024[2024-01-28]. https://doi.org/10. 13238/j.issn.1004-2954.202305170006.
[8]	刘占省,武乐佳,刘子圣.面向全生命期的多维多尺度智能建造体系[J].天津大学学报(自然科学与工程技术版),2023,56(12):1295-1306.
[9]	宫志群,王永志,廖少明.基于数字孪生的建设工程项目管理数字化[J/OL].土木工程学报,2024[2024-01-28].https://doi.org/10. 15951/j.tmgcxb.23040317.
[10]	任泽裕,王振超,柯尊旺,等.多模态数据融合综述[J].计算机工程与应用,2021,57(18):49-64.
[11]	陈湘生,曾仕琪,韩文龙,等.机器学习方法在盾构隧道工程中的应用研究现状与展望[J].土木与环境工程学报(中英文),2024,46(1):1-13.
[12]	李明昊,冯新,刘绪都,等.大型地下管网预测性运维多源监测数据融合决策方法[J].同济大学学报(自然科学版),2023,51(2):170-178.
[13]	陶飞,刘蔚然,张萌,等.数字孪生五维模型及十大领域应用[J].计算机集成制造系统,2019,25(1):1-18.
[14]	刘占省,史国梁,杜修力,等.基于数字孪生的智能运维理论体系与实现方法[J].土木与环境工程学报(中英文),2024,46(1):46-57.
[15]	刘占省,刘子圣,孙佳佳,等.基于数字孪生的智能建造方法及模型试验[J].建筑结构学报,2021,42(6):26-36.
[16]	竹隰生, 任宏, 郭敬. 我国建筑业人工成本现状及发展趋势分析[J]. 建筑经济, 2007(12): 15-18.
[17]	王建伟,高超,董是,等.道路基础设施数字化研究进展与展望[J].中国公路学报,2020,33(11):101-124.
[18]	岳文泽, 章佳民, 刘勇, 等. 多源空间数据整合视角下的城市开发强度研究[J]. 生态学报, 2019, 39(21): 7914-7926.
[19]	胡振中,刘毅,林超.基于BIM的工程管理信息技术研究展望[J].工业建筑,2022,52(10):195-203.
[20]	陈贵涛.基于BIM和本体的建筑运维管理研究[J].工业建筑,2018,48(2):29-34.
[21]	中华人民共和国住房和城乡建设部.工程项目竣工验收由90天缩短至3天:河南平顶山持续推进"放管服"改革进一步优化营商环境[EB/OL].(2021-12-27 )[2024-01-28].https://www.mohurd.gov.cn/xinwen/dfxx/202112/20211227_763597.html.

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