选矿磨机给料实时块度分析系统研究与应用

Research and Application of Real-time Mill Feed Lumpiness Analysis System in Mineral Processing

在选矿生产流程中,矿石块度分布检测通常通过人工取样和筛分的方法实现,存在人力消耗大且无法实时在线检测磨机给矿块度的问题,为了提升磨矿指标、节能降耗,最终达到优化控制的目的。本文采用高速图像采集技术,实时监控输送带下料口处的矿石块度,通过图像分割技术对高清的矿石图像进行分割,并对各块度的矿石占比情况统计分析得出F80值,并将F80值实时传输给智能控制系统,完成了磨机给料实时块度分析系统的开发与应用。实际应用表明,矿石粒度分析结果对半自磨的磨矿过程可以精细控制,最大化提高磨机处理量,保证磨矿产品粒度,提高磨矿产能及指标,降低操作人员的劳动强度。

In the mineral processing process,the detection of ore lump size distribution is usually realized by manual sampling and screening.There exist issues like large labor consumption and inability to detect the ore lump size of the mill online in real time.Besides,there is also need to improve the grinding in-dex,save energy and reduce consumption,and finally achieve the purpose of optimal control.In this pa-per,high-speed image acquisition technology is applied to monitor ore lumps at the feeding opening of the conveyor belt in real time,and the high-definition ore images are segmented via image segmentation tech-nology.The F80 value is transmitted to the intelligent control system in real time,and the development and application of the real-time lumpiness analysis system for the feed of the mill is completed.The prac-tical application shows that the results of ore particle size analysis can achieve granular control over the grinding process of semi-autogenous grinding,maximize the processing capacity of the mill,ensure the particle size of the grinding products,improve the grinding performance and indicators,and reduce the labor intensity of operators.