State Key Laboratory of Coal Mine Disaster Prevention and Control
CCTEG Chongqing Research Institute

针对传统的输送带纵向撕裂检测系统存在光照抗干扰能力差、运算效率低及泛化能力弱的问题,研究了一种基于线结构光的纵向撕裂检测技术。以线结构光作为图像采集系统,应用Topk完成图像预处理,减少数据冗余和内存使用量;对YOLOv5网络的基础算子进行降维,减少模型参数量和浮点运算量;将该检测技术移植到嵌入式设备中,研制了速度快、精确度高的矿用本安型纵向撕裂检测系统。实验结果表明:降维YOLOv5的运算量和参数量均低于传统方法,在输入特征图分辨率为640px×2px时,F1score为0.9511,优于其他方法;仿真实验中检测的精确度P为95.14%,召回率R为92.63%;工业试验中成功检测出输送带的纵向撕裂。

To address the limitations of traditional longitudinal tear detection systems—including poor illumination resistance,low computational efficiency,and weak generalization capability—this study proposes a novel detection technology based on line structured light. The line structured light is used as the image acquisition system,and then Topk is used to pre- process the image for the purpose of reducing data redundancy and memory usage;dimensionality reduction was applied to the base operators of the YOLOv5 network,effectively reducing both the model parameters and floating-point operations (FLOPs); the detection technology has been successfully ported to an embedded system,resulting in the development of a high-speed and highly accurate intrinsically safe longitudinal tear detection system designed for mining applications. The experimental results show that the operand and parameter quantity of the dimensionally reduction YOLOv5 are lower than the traditional methods,and the F is 0. 951 1,which is better than other methods when the resolution of the input map is px×2 px;The accuracy of detection P in the simulation experiment is 95. 14% and the recall rate R is 92. 63%;in industrial trials,the technology successfully detected longitudinal tearing in conveyor belts.

中煤科工集团重庆研究院自立重点项目(2022ZDXM02)

游磊,向兆军,孙柳军.基于线结构光的矿用输送带纵向撕裂检测技术[J].矿业安全与环保,2025,52(1):180-186.

YOU Lei, XIANG Zhaojun, SUN Liujun. Longitudinal tear detection for conveyor belts based on line structured light[J]. Mining Safety & Environmental Protection,2025,52(1):180-186.