摘要
针对煤矿输送带纵向撕裂检测准确率、实时性和响应性均不高的问题,设计了一种基于线激光和机器视觉的检测系统。介绍了该系统的工作原理,重点讲述了撕裂特征的视觉检测算法,包括图像预处理、激光条纹中心线提取、中心线断点补偿、重合误差和局部曲率的撕裂特征综合判断等。实验结果表明,该系统可实时、准确地检测输送带纵向撕裂,提升撕裂响应速度,降低撕裂事故成本,具有一定的推广应用价值。
A detection system based on line laser and machine vision was designed to address the issue of low accuracy,real-time performance and responsiveness in longitudinal tear detection of coal mine conveyor belt.The working principle of this system was introduced,with a focus on the visual detection algorithm for tear features,including image preprocessing,laser stripe centerline extraction,centerline breakpoint compensation and comprehensive judgment of tear features of overlap error and local curvature.The experimental results show that this system can accurately detect longitudinal tear of conveyor belt in real time,improve response speed,reduce accident costs and has a certain promotional application value.
作者
赵东哲
张震
秦亚敏
刘申
张金辉
庞增拴
Zhao Dongzhe;Zhang Zhen;Qin Yamin;Liu Shen;Zhang Jinhui;Pang Zengshuan(Hebei Guochuang Jingjinji Technology Development Co.,Ltd.,Shijiazhuang 050051,China;Hebei Province Mechatronics Pilot Base,Shijiazhuang 050051,China)
出处
《煤矿机械》
2025年第1期173-177,共5页
Coal Mine Machinery
基金
河北省省级科技计划项目(18391603D)。
关键词
煤矿输送带
纵向撕裂
激光轮廓
视觉检测
撕裂响应
coal mine conveyor belt
longitudinal tear
laser profile
visual inspection
tear response
作者简介
赵东哲(1991-),河北石家庄人,高级工程师,硕士,研究方向:机器视觉,电子信箱:13933114903@163.com.
