LINGTong-hua,BEIZheng-hao,ZHANGSheng,et al.Surface Defect Detection in Sewer Pipelines Based on YOLO-Pipe and ByteTrack Methods[J].China Water & Wastewater,2025,41(3):125-130.
基于YOLO-Pipe和ByteTrack的排水管道缺陷检测
- Title:
- Surface Defect Detection in Sewer Pipelines Based on YOLO-Pipe and ByteTrack Methods
- 关键词:
- 排水管道; 缺陷检测; YOLO模型; 视频检测; ByteTrack算法
- Keywords:
- sewer; defect detecting; YOLO model; video detection; ByteTrack algorithm
- 摘要:
- 城市排水管道检测作为城市管理的重要组成部分，对保障城市安全运行具有重要意义。针对现有模型对排水管道检测存在的复杂度高、精度低等问题，采用C3_PConv结构、PIoUv2损失函数和层自适应幅度剪枝算法对YOLOv5n进行优化，构建了轻量化的YOLO-Pipe模型。并将YOLO-Pipe模型与ByteTrack追踪算法进行融合，提出了一种基于排水管道检测视频的Pipe-Track缺陷追踪算法。结果表明，YOLO-Pipe模型缺陷检测的mAP@50达94.8%，推理时间为28.2 ms。与其他模型相比，YOLO-Pipe在兼顾实时检测的同时取得了更高的检测精度。融合的Pipe-Track算法实现了对视频数据集的检测，并且缺陷平均锁定率达到了92.3%，展现出了良好的缺陷检测效果。
- Abstract:
- Urban sewer inspection plays a crucial role in city management and is of great significance for ensuring the safe operation of cities. In response to the high complexity and low accuracy issues associated with existing models for sewer inspection, a lightweight YOLO-Pipe model was developed by optimizing YOLOv5n with the C3_PConv structure, PIoUv2 loss function, and layer adaptive amplitude pruning algorithm. The YOLO-Pipe model was then integrated with the ByteTrack tracking algorithm to propose a Pipe-Track defect tracking algorithm based on sewer inspection video data. Results indicated that the YOLO-Pipe model achieves a mAP@50 of 94.8% for defect detection with an inference time of 28.2 ms. Compared to other models, YOLO-Pipe achieves higher detection accuracy while maintaining real?time detection. The integrated Pipe-Track algorithm has achieved detection on video datasets, with an average defect locking rate of 92.3%, demonstrating excellent defect detection performance.
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[1]李明.高水压条件下排水管道局部树脂固化修复及预处理[J].中国给水排水,2020,36(20):45.
LI Ming.Local Resin Curing Repair and Pretreatment Technology of Drainage Pipes under High Water Pressure[J].China Water & Wastewater,2020,36(3):45.
[2]周杨军,蒋仕兰,解铭,等.非开挖修复技术在城市排水管道维护中的应用[J].中国给水排水,2020,36(20):58.
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AN Guan-feng,ZHANG Rong,ZHANG Xin,et al.Analysis on The Specification for Construction and Acceptance of Trenchless Rehabilitation Engineering of Urban Drainage Pipeline[J].China Water & Wastewater,2020,36(3):71.
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[5]刘琳,刘勇,黄宁君.新型原位热塑成型管道非开挖修复技术应用案例[J].中国给水排水,2021,37(6):134.
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