散装物料输送皮带运行故障分析与检测  

Analysis and Detection of Operation Failures for Conveyor Belt of Bulk Materials

作　　者：芦建文 范云鹏 徐斌[2] 赵楠 Lu Jian-wen;Fan Yun-peng;Xu Bin;Zhao Nan(Inner Mongolia Xinlian Information Industry Co.,Ltd.,Baotou 014010,Inner Mongolia Autonomous Region,China;Storage Center of Inner Mongolia Baotou Steel Union Co.,Ltd.,Baotou 014010,Inner Mongolia Autonomous Region,China)

机构地区：[1]内蒙古新联信息产业公司,内蒙古包头014010 [2]内蒙古包钢钢联股份有限公司仓储中心,内蒙古包头014010

出　　处：《包钢科技》2024年第1期75-78,共4页Science & Technology of Baotou Steel

基　　金：内蒙古自治区应用技术研究与开发资金计划资助项目(2022YFHH0124)。

摘　　要：钢铁企业输送皮带经常发生撒料、着火、异物划伤、堵料等现象,以及输送皮带发生跑偏、打滑、划伤、撕裂等故障。分析了产生各类故障的原因,对比了目前采用各类开关进行皮带故障检测的优缺点,提出了采用图像检测各类故障的方法,并比较了2D与3D图像检测方法的适应性。文章最后简述了钢铁企业构建智能皮带检测平台的架构。There are often such phenomena as spillage,firing,scratch of foreign objects and blockage as well as such failures as off tracking,slipping,scratch and tearing for conveyor belt of iron and steel enterprises.Moreover,the causes of various failures are analyzed,advantages and disadvantages of using various switches for belt failure detection are compared,a method of detecting various failures with images is proposed as well as adaptability of 2D and 3D image detection methods are compared.At last,the architecture of establishing intelligent belt detection platform for iron and steel enterprises is briefly described.

关 键 词：输送皮带 故障分析 智能诊断 

分 类 号：TH222[机械工程—机械制造及自动化] TP391.41[自动化与计算机技术—计算机应用技术]