• CSCD核心中文核心科技核心
  • RCCSE(A+)公路运输高质量期刊T1
  • Ei CompendexScopusWJCI
  • EBSCOPж(AJ)JST
二维码

隧道建设(中英文) ›› 2025, Vol. 45 ›› Issue (S2): 184-192.DOI: 10.3973/j.issn.2096-4498.2025.S2.016

• 研究与探索 • 上一篇    下一篇

基于新一代信息技术的交通隧道工程建设管理研究

谢玮成, 郑兴, 赵红岗, 吴维国, 谢品翰, 张毅, 陈宏   

  1. (中建海峡建设发展有限公司, 福建 福州 350001)
  • 出版日期:2025-12-20 发布日期:2025-12-20
  • 作者简介:谢玮成(1991—),男,福建福州人,2019年毕业于福建师范大学,工商管理专业,硕士,高级工程师,主要从事建筑企业数字化管理与工程智能建造研究工作。E-mail: 408389861@qq.com。

Construction Management of Traffic Tunnel Engineering Based on New-Generation Information Technology

XIE Weicheng, ZHENG Xing, ZHAO Honggang, WU Weiguo, XIE Pinhan, ZHANG Yi, CHEN Hong   

  1. (CSCEC Strait Construction and Development Co., Ltd., Fuzhou 350001, Fujian, China)
  • Online:2025-12-20 Published:2025-12-20

摘要: 为解决交通隧道工程建设中存在的多工种协同效率低下、多源数据对施工决策支撑不足等问题,构建以数据流为核心驱动的交通隧道工程数字化建设管理模式。通过建立数据闭环流转机制,提出数据价值转化模型,研发支持动态决策的交通隧道工程数字化管理平台,并依托实际工程项目开展实证研究。研究结果表明: 1)通过构建数据“采集-处理-分析-服务”闭环体系,有效破解了交通隧道工程数据动态性与业务需求结构化之间的矛盾,数据利用率提升约60%; 2)通过建立交通隧道工程“数据-信息-知识-智慧”价值转化模型,开发基于数据分析的决策指挥引擎,使关键决策响应速度从小时级压缩至分钟级; 3)融合BIM、GIS及物联网技术,形成电子沙盘、隧道高精度定位、结构物形变监测等解决方案,构建覆盖人员、机械、环境等要素的数字镜像,使交通隧道工程资源配置效率提高约40%,应急响应速度较常规模式提升约3倍。研究成果验证了新一代信息技术在交通隧道工程中集成应用的价值,可为智能建造领域提供新型管理范式,推动隧道工程管理从经验驱动向数据驱动转型。

关键词: 交通隧道, 数据流, 工程管理, 电子信息

Abstract: The construction of traffic tunnels face various challenges, such as low efficiency in multi-method collaboration and insufficient multisource data support for construction decisions. To address these challenges, a digital construction management model for traffic tunnels with data flow as the core driver is constructed. By establishing a data closed-loop circulation mechanism, a data value transformation model is proposed, a digital management platform for traffic tunnels that supports dynamic decision-making is developed, and empirical research based on actual engineering projects is performed. The results show the following: (1) By establishing a  "collection-processing-analysis-service" data closed-loop system, the contradiction between the dynamic nature of traffic tunnel engineering data and the structured nature of business requirements is effectively resolved, resulting in an approximately 60% increase in data utilization rate. (2) By establishing a "data-information-knowledge-wisdom" value transformation model for traffic tunnel projects and developing a decision-making command engine based on data analysis, the response speed of key decisions has been reduced from hourly level to minute level. (3) By integrating building information modeling, geographic information system, and Internet of Things technologies, solutions such as electronic sand maps, high-precision positioning of tunnels, and monitoring of structural deformations are achieved. A digital mirror image covering elements like personnel, machinery, and environment is constructed, which increases the efficiency of resource allocation in traffic tunnel projects by approximately 40% and enhances the emergency response speed by about 3 times compared to conventional methods. The research results verify the value of integrating the new generation of information technology in traffic tunnel projects, providing a new management paradigm for the intelligent construction field, and thus promoting the transformation of tunnel project management from experience driven to data driven.

Key words: traffic tunnel, data flow, engineering management, electronic information