河北水利电力学院学报2026，Vol.36Issue(3)：56-62,7.DOI:10.16046/j.cnki.issn2096-5680.2026.03.009
基于YOLOv5的衬砌钢筋智能识别方法
The Rebar Intelligent Identification Method of Lining Based on YOLOv5
摘要
Abstract
Lining quality plays an important role in the stable,safe and long-term operation of the tun-nel.If phenomena such as the absence of rebars,the spacing of rebars and the thickness of the protective layer do not meet the design requirements,it will affect the stability of the tunnel lining,and in serious ca-ses,it will endanger the safe operation of the tunnel.Ground penetrating radar is an effective method for detecting the quality of the lining.However,the traditional manual interpretation of radar data is ineffi-cient and unable to adopt a unified interpretation standard.Therefore,a rebar intelligent identification method of lining based on YOLOv5 is proposed to facilitate rapid positioning and intelligent identification of the positions of rebars,and thereby judging whether the rebars are absent and whether the rebars spac-ing and the thickness of the protective layer meet the design requirements.关键词
YOLO/YOLOv5/隧洞衬砌/钢筋/智能识别Key words
YOLO/YOLOv5/tunnel lining/rebar/intelligent identification分类
交通工程引用本文复制引用
刘金鹏,钟晗,王志豪,赵洪鹏,李洪墩..基于YOLOv5的衬砌钢筋智能识别方法[J].河北水利电力学院学报,2026,36(3):56-62,7.基金项目
国家服务业发展引导资金投资项目(2018-74-03-129388) （2018-74-03-129388）
