图像分割+分类算法在带式输送机撒煤监测中的应用实践  

Application practice of image segmentation and classification algorithms in coal spillage monitoring on belt conveyors

作　　者：徐海洋 郝全生 贾永飞 杨磊 何智超 XU Hai-yang;HAO Quan-sheng;JIA Yong-fei;YANG Lei;HE Zhi-chao(Wangjialing Coal Preparation Plant,China Coal Huajin Group Co.,Ltd.,Yuncheng,Shanxi 044000,China;Anjishi(Zhejiang)Intelligent Robot Technology Co.,Ltd.,Huzhou,Zhejiang 313000,China)

机构地区：[1]中煤华晋集团有限公司王家岭选煤厂,山西运城044000 [2]安极视(浙江)智能机器人技术有限公司,浙江湖州313000

出　　处：《煤炭加工与综合利用》2025年第2期5-10,共6页Coal Processing & Comprehensive Utilization

摘　　要：针对煤矿生产中输送胶带撒煤问题,采用基于机器人视觉平台的深度学习技术,使用图像分割算法精确定位带式输送机及撒煤区域。通过分析分割特征图和图像分类算法,可以有效判断是否存在撒煤现象。该系统的设计与实践,验证了其在实际应用中的有效性,显著提高了撒煤现象的检测精度,为选煤厂生产提供了安全保障。To address the monitoring issue of coal spillage in coal mining operations,this study employs deep learning technology based on a robotic vision platform,using image segmentation algorithms to accurately locate the belt conveyor and coal spillage areas.The application results indicate that by analyzing segmented feature maps and employing image classification algorithms,it is possible to effectively determine the presence of coal spillage.The significance of this research lies in its detailed exploration of the system's design and implementation,validating its effectiveness in practical applications.Experimental results show that this system significantly improves detection accuracy for coal spillage,providing safety assurance for coal preparation plant operations.

关 键 词：输送机 机器人 深度学习 撒煤 

分 类 号：TD948.7[矿业工程—选矿]