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。
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 self-sensing,self-judging,self-learning,self-decision-making,and self-implementing 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 real-time sensing and identifying the complex environmental geological conditions and the equipment status,intelligent decision-making and parameter optimization,R&D of robot for automatic implementation of key construction processes,logistic systems for intelligent TBMs,and"edge-cloud"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.
作者
李建斌
荆留杰
杨晨
林福龙
张娜
李鹏宇
LI Jianbin;JING Liujie;YANG Chen;LIN Fulong;ZHANG Na;LI Pengyu(China Railway Group Limited,Beijing 100039,China;China Railway Engineering Equipment Group Co.,Ltd.,Zhengzhou 450016,Henan,China)
出处
《隧道建设（中英文）》
CSCD
北大核心
2023年第3期355-368,I0002-I0015,共28页
Tunnel Construction
基金
国家重点研发计划(2018YFB1702504)。
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
intelligent TBM
environment sensing
intelligent decision-making
automatic implementation
"edge-cloud"collaboration
evaluation system
