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隧道建设(中英文) ›› 2023, Vol. 43 ›› Issue (3): 355-368.DOI: 10.3973/j.issn.2096-4498.2023.03.001

• 专家论坛 • 上一篇    下一篇

Discussion on Technical Characteristics and Realization-Path of Intelligent TBMs(智能盾构技术特征和实现路径探讨)

李建斌1, 荆留杰2, 杨晨2 *, 林福龙2, 张娜2, 李鹏宇2   

  1. 1.中国中铁股份有限公司, 北京 100039 2. 中铁工程装备集团有限公司, 河南 郑州 450016
  • 出版日期:2023-03-20 发布日期:2023-04-17
  • 作者简介:李建斌(1962— ),男,河北赵县人,1982 年毕业于吉林工业大学,工程机械专业,本科,教授级高级工程师,享受国务院政府特殊津贴专家,主要从事隧道工程装备研发制造及智能化研究工作。 E-mail: lijianbin@crectbm. com。 *通信作者: 杨晨, E-mail: 727062454@qq.com。

Discussion on Technical Characteristics and Realization-Path of Intelligent TBMs

LI Jianbin1, JING Liujie2, YANG Chen2, *, LIN Fulong2, ZHANG Na2, LI Pengyu2   

  1. (1. China Railway Group Limited, Beijing 100039, China; 2. China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, Henan, China)
  • Online:2023-03-20 Published:2023-04-17

摘要: 针对当前盾构设计与制造技术不断创新、高端装备智能化研制需求迫切的现状,提出智能盾构的技术特征,定义其基本能力要求,即围绕盾构安全、高效施工目标,将新一代信息技术与隧道建造工业化深度融合,使盾构具备自感知、自判断、自学习、自决策和自执行等能力。其次,介绍盾构在智能化方面的研究现状,从感知层、平台层、应用层3个层次对智能盾构的架构进行整体方案设计。在实现路径方面,分别对复杂环境地质与设备状态信息实时感知、识别,智能决策与参数优化,关键工序自动执行机器人研发,智能盾构施工保障支持,盾构边云协同等实施重点任务进行详细描述。最后,建立包含智商和能商2类指标的智能盾构评价指标体系,提出智能化盾构评价方法。

关键词: 智能盾构, 环境感知, 智能决策, 自动执行, 边云协同, 评价体系

Abstract: In view of the constant innovations in the design and manufacturing technology of TBMs and in response to the urgent demand for research and development of intelligent highend equipment, the authors summarize the technical characteristics of intelligent TBMs, and define the basic capability requirements of intelligent TBMs, that is, focusing on the safe and efficient tunneling of TBMs and deeply integrating the new generation of information technology with the industrialization of the tunnel construction to enable selfsensing, selfjudging, selflearning, selfdecisionmaking, and selfimplementing of TBMs. The authors introduce the status of researches on intelligent TBMs, and design the overall framework of intelligent TBMs from three levels: the sensing level, the platform level, and the application level. In terms of the realization of the intelligent TBMs, the authors detail the key tasks, including realtime sensing and identifying the complex environmental geological conditions and the equipment status, intelligent decisionmaking and parameter optimization, R&D of robot for automatic implementation of key construction processes, logistic systems for intelligent TBMs, and "edgecloud" collaboration of TBMs. Finally, the authors establish an intelligent TBM evaluation index system covering the intelligence index and the capability index, and propose an intelligent TBM evaluation method.

Key words: intelligent TBM, environment sensing, intelligent decisionmaking, automatic implementation, "edgecloud" collaboration, evaluation system