• 中国科学引文数据库(CSCD)来源期刊
  • 中文核心期刊中文科技核心期刊
  • Scopus RCCSE中国核心学术期刊
  • 美国EBSCO数据库 俄罗斯《文摘杂志》
  • 《日本科学技术振兴机构数据库(中国)》
二维码

隧道建设(中英文) ›› 2023, Vol. 43 ›› Issue (11): 1872-1886.DOI: 10.3973/j.issn.2096-4498.2023.11.007

• 研究与探索 • 上一篇    下一篇

盾构自动驾驶性能评价体系设计和应用

张昊澜1 2, 卢孟栋1 2, 李刚3, 胡珉1 2, *   

  1. 1. 上海大学悉尼工商学院, 上海 201800 2. 上海大学-上海城建集团建筑产业化研究中心, 上海 200072;  3. 上海隧道工程有限公司, 上海 200032)

  • 出版日期:2023-11-20 发布日期:2023-12-08
  • 作者简介:张昊澜(1998—),男,上海人,上海大学管理科学与工程专业在读硕士,研究方向为盾构自动驾驶性能分析相关工作。 E-mail: haolan@shu.edu.cn。 *通信作者: 胡珉, E-mail: minahu@shu.edu.cn。

Design and Application of Performance Evaluation System for SelfDriving Shields

ZHANG Haolan1, 2, LU Mengdong1, 2, LI Gang3, HU Min1, 2, *   

  1. (1. SHUUTS SILC Business School, Shanghai University, Shanghai 201800, China;2. SHU-SUCG Research Center for Building Industrialization, Shanghai University, Shanghai 200072, China;3. Shanghai Tunnel Engineering Co., Ltd., Shanghai 200032, China)

  • Online:2023-11-20 Published:2023-12-08

摘要:

针对当前自主驾驶盾构评价缺乏一套系统、客观、全面的评价标准和方法的问题,在分析当前盾构自主驾驶发展现状基础上,围绕隧道质量、环境安全、掘进效率、控制性能和用户体验5个维度建立了盾构自动驾驶性能评价体系。并以此为基础,以“智驭号”盾构自主掘进控制系统在南京和郑州的应用为例,对项目的自动驾驶性能进行评价和分析。评价结果表明: “智驭号”盾构自主掘进控制系统在各维度下控制效果好,对不同情况适应性强,但在高程下坡姿态控制、自立性差的土层中的沉降控制、砂性土中速度和转矩的控制方面有提升的空间,掘进效率方面也有改进的空间。该评价体系能够科学准确地识别盾构自动驾驶系统性能的特点、实现简洁清晰的评分。评价体系不仅有助于定量化地分析各个控制系统的特点,而且还可以帮助开发者和实施者发现盾构自动驾驶系统存在的问题,为盾构自动驾驶技术发展和工业化应用提供参考。

关键词: 盾构, 智能, 自动驾驶性能, 评价体系

Abstract:

Current selfdriving shields lack systematic, objective, and comprehensive evaluation methods. To address this issue, a selfdriving shield performance evaluation system is developed. This system can evaluate five aspects of selfdriving shields: tunnel quality, environmental safety, excavation efficiency, control performance, and user experience. Furthermore, a case study is conducted on the selfdriving system of shield Zhiyu used in Nanjing and Zhengzhou, China, to assess and analyze its selfdriving performance. The evaluation results show the following: (1) The selfdriving system of shield Zhiyu exhibits good control effect in all dimensions and strong adaptability to various conditions; however, it requires improvement regarding the control of downhill vertical attitude, settlement control of poor selfsupporting soil, and speed and torque control in sandy soil. (2) Moreover, tunneling efficiency should be improved in future. The proposed evaluation system can reasonably and accurately identify the performance characteristics of shield selfdriving systems with concise scoring. Further, the system not only helps to quantitatively analyze the characteristics of each control system but also helps developers and users to determine problems of a shield selfdriving system and provides a reference for the development and industrial application of shield selfdriving technology.

Key words: shield, intelligence, selfdriving performance, evaluation system