基于视觉识别的浮选尾矿在线测灰仪的应用  

Application of the vision recognition-based online flotation tailings ash monitor

作　　者：代文飞 高文宇 仇庆敏 褚衍静 曹英华 DAI Wenfei;GAO Wenyu;QIU Qingmin;CHU Yanjing;CAO Yinghua(Jiangzhuang Coal Mine,Zaozhuang Mining Group Co.Ltd.,Zaozhuang 277519,China;Jiangsu Shineng Industry Technology Co.Ltd.,Xuzhou 221000,China)

机构地区：[1]枣庄矿业(集团)有限责任公司蒋庄煤矿,山东枣庄277519 [2]江苏仕能工业技术有限公司,江苏徐州221000

出　　处：《选煤技术》2021年第3期76-80,共5页Coal Preparation Technology

摘　　要：阐述了基于视觉识别的浮选尾矿在线测灰仪的结构、工作原理和技术特点,并对其在蒋庄煤矿选煤厂的应用情况进行了介绍和分析。分析表明,尾矿值与尾矿灰分具有正相关性,预测灰分与化验灰分的平均相对误差为4.20%,平均绝对误差为2.48%,可以起到及时指导浮选生产的作用,大大减轻了技检人员工作量,同时还可对尾矿跑粗进行预警,从而避免精煤损失。Following an introduction to the structural design,working principle and technical features of the vision recognition-based online flotation tailing ash monitor,the paper goes to analyze the effects obtained in application of the monitor at Jiangzhuang Mine Coal Preparation Plant.Result of analysis shows that the value and ash of tailings assume a positive correlation and the mean relative error between the predicted and analytical ash values is 4.20%with a mean absolute error of 2.48%.It is proved the monitor can play a guiding role in flotation process and its use can greatly ease the labor intensity of both operating and service personnel.Moreover,it can perform the function of early warning of escape of coarser tailing particles to guard against loss of flotation concentrate.

关 键 词：在线测灰 浮选尾矿在线测灰仪 视觉识别 浮选尾矿灰分 尾矿跑粗 

分 类 号：TD948.9[矿业工程—选矿] TD943