数字孪生技术在城市地下空间运维阶段的应用与研究进展

曾仕琪; 苏栋; 龚浩锋; 刘平炜; 陈湘生

doi:10.3973/j.issn.2096-4498.2025.01.004

隧道建设 >

2025 , Vol. 45 >Issue 1: 57 - 76

DOI: https://doi.org/10.3973/j.issn.2096-4498.2025.01.004

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数字孪生技术在城市地下空间运维阶段的应用与研究进展

曾仕琪 ,
苏栋 ,
龚浩锋 ,
刘平炜 ,
陈湘生

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（1. 滨海城市韧性基础设施教育部重点实验室（深圳大学），广东深圳 518000； 2. 深圳大学土木与交通工程学院，广东深圳 518000； 3. 矿山深井建设技术国家工程研究中心，广东深圳 518000；4. 极端环境岩土和隧道工程智能建养全国重点实验室(深圳大学)，广东深圳 518000)

曾仕琪（1995—），男，湖北荆门人，深圳大学土木工程专业在读博士，研究方向为数字地下空间及工程智能化。 E-mail： 525761734@qq.com。 *通信作者：苏栋， E-mail: sudong@szu.edu.cn。

网络出版日期: 2025-01-20

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Application of Digital Twin Technology in Operation and Maintenance of Urban Underground Space and Its Research Progress

ZENG Shiqi ,
SU Dong ,
GONG Haofeng ,
LIU Pingwei ,
CHEN Xiangsheng

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(1. Key Laboratory of Coastal Urban Resilient Infrastructures (Shenzhen University), the Ministry of Education, Shenzhen 518000, Guangdong, China; 2. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518000, Guangdong, China; 3. National Engineering Research Center of Deep Shaft Construction, Shenzhen 518000, Guangdong, China; 4. State Key Laboratory of Intelligent Geotechnics and Tunnelling (Shenzhen University), Shenzhen 518000, Guangdong, China)

Online published: 2025-01-20

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摘要

系统综述数字孪生技术在城市地下空间运维阶段的应用现状和研究进展。首先，通过文献计量的方法，分析2019年1月1日至2024年4月21日发表的847篇学术文献，识别并总结数字孪生技术在城市地下空间运维管理中的核心技术和应用策略，从技术层面对核心功能，例如实时数据监测、模型的持续更新、仿真与预测等进行系统总结。然后，探讨数字孪生技术在城市地下空间结构健康监测与管理、设施监控与管理、能源与环境管理以及灾害评估与应急管理4个主要领域的应用。最后，基于当前技术发展和需求，提出未来研究应集中构建系统性指标体系和开发多模态智能感知技术，以有效提升城市地下空间运维的安全性、可靠性和效率；同时，还需要通过构建多因素耦合作用下的运维性态演变规律和多维度性态智能评估技术研究，实现更为高效和精准的运维管理。

关键词： 数字孪生技术; 城市地下空间; 运维管理; ; ; 结构监测; 设施监管; 能源环境; 灾害应急

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曾仕琪 , 苏栋 , 龚浩锋 , 刘平炜 , 陈湘生 . 数字孪生技术在城市地下空间运维阶段的应用与研究进展[J]. 隧道建设, 2025 , 45(1) : 57 -76 . DOI: 10.3973/j.issn.2096-4498.2025.01.004

Abstract

The authors systematically review the application status and research trends of digital twin technology in the operation and maintenance phase of urban underground spaces. First, using bibliometric methods, 847 academic publications published between January 1, 2019 and April 21, 2024 are analyzed to identify and summarize the core technologies and application strategies of digital twins in this domain. In addition, key functions, including real-time data monitoring, continuous model updates, simulation, and prediction, are comprehensively summarized from a technical perspective. Furthermore, four primary application areas of digital twin technology in urban underground spaces are discussed: structural health monitoring and management, facility monitoring and management, energy and environmental management, and disaster response and emergency management. Finally, based on current technological developments and practical needs, it is suggested that future research should prioritize building a systematic index system and advancing multi-modal intelligent sensing technologies to enhance the safety, reliability, and efficiency of urban underground spaces. In addition, achieving more efficient and precise operation and maintenance management will require the development of models that account for the evolution of operational behavior under the influence of multiple interacting factors, as well as research into multidimensional intelligent evaluation technologies.

Key words： digital twin; urban underground space; operation and maintenance management; structure monitoring; facility supervision; energy environment; disaster emergency

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