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隧道建设(中英文) ›› 2024, Vol. 44 ›› Issue (S1): 53-61.DOI: 10.3973/j.issn.2096-4498.2024.S1.006

• 研究与探索 • 上一篇    下一篇

盾构辅助驾驶系统(SDAS)开发与工程应用

裴烈烽1, 李章林1, 朱叶艇1, 2, *, 王延年1, 姜乐1, 王浩1   

  1. 1. 上海隧道工程有限公司, 上海 200232; 2. 上海城建隧道装备有限公司, 上海 200137
  • 出版日期:2024-08-20 发布日期:2024-09-02
  • 作者简介:裴烈烽(1972—),男,上海人,2005年毕业于同济大学,建筑与土木工程专业,硕士,教授级高级工程师,现从事地下空间开发利用及盾构装备智能化等技术研究工作。E-mail: stecplf@vip.sina.com。*通信作者: 朱叶艇, E-mail: zhuyeting@stecmc.com。

Development and Engineering Application of Shield Driving Assistance System

PEI Liefeng1, LI Zhanglin1, ZHU Yeting1, 2, *, WANG Yannian1, JIANG Le1, WANG Hao1   

  1. (1. Shanghai Tunnel Engineering Co., Ltd., Shanghai 200232, China; 2. Shanghai Urban Construction Tunnel Equipment Co., Ltd., Shanghai 200137, China)

  • Online:2024-08-20 Published:2024-09-02

摘要: 鉴于当前盾构人工驾驶操作准确度不稳定而盾构智能化控制技术尚未完全成熟的现实,以解决传统操作界面可视化程度低、关键信息参数离散不均、盾构施工风险预警与管控能力不足等问题,提出一种盾构辅助驾驶系统,重点阐述系统整体架构、报警信息叠加融合处理、权限控制逻辑设计、可视化系统构建等方面。在不改变原有设计的基础上,通过系统外挂的方式搭载于不同来源的盾构装备,聚焦盾构姿态与地表沉降控制,进行盾构施工状态的实时分析、报警与决策。经南京地铁某区间隧道工程示范结果表明,盾构辅助驾驶系统建议操作与人工操作吻合度超60%,盾构姿态与地表沉降控制质量优于人工作业水平。后续将进一步完善对智控算法模型的评价与孵化方法,通过对多类新智能化技术的插件式加载,提升平台的完整性、可靠性和友好性。

关键词: 盾构, 辅助驾驶, 系统架构, 报警机制, 工程应用

Abstract: Currently, the accuracy of manual driving operations in shield tunneling is unstable and the intelligent control technologies for shield tunneling are not mature. Therefore, to address the problems such as low visualization of traditional operation interfaces, dispersion of key information parameters, and insufficient risk warning and control capabilities, a shield driver assistance system(SDAS) is proposed. Then, the overall system architecture, alarm information superposition and fusion processing, logical design of permission control, and the establishment of the visual system are elaborated in detail. Based on original design of shield, the system is equipped to the shield with different sources through external plug-in method, and real-time analysis, alarm, and decision-making based on current shield construction status are conducted focusing on the control of shield postures and ground surface settlement. The demonstration results of a certain section tunnel in Nanjing metro show that the recommended operations of the SDAS matches the manual operation by more than 60%, and the control quality of shield postures and surface settlement by SDAS is better than that of manual operation. The evaluation and incubation methods for intelligent control algorithm models should be improved, multiple types of new intelligent technologies should be installed on this system platform, and the integrity, reliability, and friendliness of which should be promoted in the future.

Key words: shield, assisted driving, system architecture, alarm mechanism, engineering application