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隧道建设(中英文) ›› 2025, Vol. 45 ›› Issue (7): 1229-1248.DOI: 10.3973/j.issn.2096-4498.2025.07.001

• 专家论坛 • 上一篇    下一篇

Progress of Researches on Intelligent Slurry Shield Driving Technologies(泥水盾构智能驾驶技术研究进展)

郭卫社1, 谢韬1, *, 王凯1, 2, 李凤远1, 2, 李叔敖1, 2, 包鹏1, 2, 贾连辉3   

  1. (1. 中铁隧道局集团有限公司, 广东 广州 511458; 2. 盾构及掘进技术国家重点实验室, 河南 郑州 450001; 3. 中铁工程装备集团有限公司, 河南 郑州 450016)
  • 出版日期:2025-07-20 发布日期:2025-07-20
  • 作者简介:郭卫社(1971—),男,陕西乾县人,1994 年毕业于长沙铁道学院,铁道工程专业,硕士,教授级高级工程师,现从事隧道及地下工程科技创新与技术管理工作。 E-mail: 112899002@qq.com。*通信作者: 谢韬, E-mail: 977831557@qq.com。

Progress of Researches on Intelligent Slurry Shield Driving Technologies

GUO Weishe1, XIE Tao1, *, WANG Kai1, 2, LI Fengyuan1, 2, LI Shu′ao1, 2, BAO Peng1, 2, JIA Lianhui3   

  1. (1. China Railway Tunnel Group Co., Ltd., Guangzhou 511458, Guangdong, China; 2. State Key Laboratory of Shield Machine and Boring Technology, Zhengzhou 450001, Henan, China; 3. China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, Henan, China)

  • Online:2025-07-20 Published:2025-07-20

摘要: 阐述隧道建造中盾构智能驾驶的技术路径与存在的问题,介绍泥水盾构智能驾驶关键技术及应用案例,形成研究结论并提出建议。研究显示: 1)传统以人工操作为主的盾构驾驶方式在极端复杂隧道施工时的安全、效益瓶颈逐步显现,人工智能为解决多参数耦合的盾构复杂系统协同问题提供了研究范式与技术路径。2)地质环境感知、基础数据挖掘、算法模型泛化和执行机构响应是盾构智能驾驶技术开发面临的主要问题。3)搭建基于“云-边-端”的智能驾驶技术架构,研发盾构/TBM智能掘进控制系统,在单一地层、特定隧道场景下,通过泥水盾构“掘进-姿态-环流”多系统的智能算法控制,实现盾构姿态自巡航、泥水舱压自适应、环流出渣自调整,为推进隧道行业智能建造起到引领示范作用。4)构建盾构智能驾驶行业大模型,搭建开放友好的二次开发环境,提升关键工序的自动化和多智能体协同能力,突破“数据+机理”算法及“端到端”控制技术是推进更高水平盾构智能驾驶的关键。

关键词: 隧道建造, 泥水盾构, 智能驾驶, “云-边-端”架构, 智能掘进控制系统, 数据驱动

Abstract: The authors elaborate on the technical paths and challenges of intelligent slurry shield driving, and present the key technologies and application cases of intelligent slurry shield driving. Conclusions drawn are as follows: (1) The conventional shield driving mode, featured by dominant manual operation, is gradually facing the bottleneck in safety and efficiency under extremely complex tunneling conditions. Artificial intelligence provides research paradigm and technical paths to solve the problems in the collaboration and coupling of the multiple parameters of the complex shield machines. (2) The perception of the geological environment, the mining of the basic data, the generalization of the algorithm models, and the response of the execution mechanism are the main challenges for the developing of the intelligent shield driving technologies. (3) The technical architecture for the intelligent shield driving, which is based on the "cloud platform+edge server+smart control terminal", is established; the control system for the intelligent shield driving is developed; in homogeneous ground and under specific tunneling scenarios, the intelligent algorithm-based control of multiple systems, including the shield boring system, the shield attitude control system, and the slurry circulation system, is achieved. This enables the autonomous navigation of the shield, the adaptive adjustment of the pressure in the slurry chamber and the self-regulation of the slurry circulation and muck discharging, which serves as a pioneering demonstration for the promotion of the intelligent construction in the tunneling industry. (4) The establishing of the big model for the intelligent shield driving industry, the creation of an open and friendly secondary development environment, the improvement in the automation of the key processes and in the collaboration capabilities of the multiple intelligent agents, and the breaking-through in the "data+mechanisms" modeling algorithms and in the "end to end" control technology are the key issues to achieve intelligent shield driving of higher level.

Key words: tunnel construction, slurry shield, intelligent shield driving, "cloud platform+edge server+smart control terminal" architecture, control system for intelligent shield driving, data driving