稀土矿浮选泡沫大小与回收率的相关性  

Study on correlation between flotation foam size and recovery rate of rare earth ore

作　　者：冉宇 李梅 高凯[2,3] 张雨涵[1,2] 荆树励[1,2] RAN Yu;LI Mei;GAO Kai;ZHANG Yuhan;JING Shuli(Institute of Mining and Technology,Inner Mongolia University of Science&Technology,Baotou Inner Mongolia 014010,China;Key Laboratory of Green Extraction&Efficient Utilization of Light Rare-Earth Resources,Ministry of Education,Baotou Inner Mongolia 014010,China;School of Materials Science and Engineering,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]内蒙古科技大学矿业研究院,内蒙古包头014010 [2]轻稀土资源绿色提取与高效利用教育部重点实验室,内蒙古包头014010 [3]北京化工大学材料科学与工程学院,北京100029

出　　处：《化工矿物与加工》2019年第11期24-28,共5页Industrial Minerals & Processing

基　　金：国家自然科学基金资助项目（51634005）;内蒙古自然科学基金资助项目（2017MS0531）;内蒙古科技大学创新基金资助项目（2016YQL07,2015QDL24）

摘　　要：以白云鄂博稀土矿为研究对象,针对浮选过程中浮选泡沫大小与回收率的相关性,结合计算机图像处理技术,利用Matlab数学分析软件,进行算法设计编写,对泡沫图像进行预处理、阈值分割、Canny算子边缘提取,提取泡沫边缘特征信息,并通过像素网格标定,对泡沫边缘进行精确分割,从而确定泡沫大小、统计泡沫大小分布规律。在实际浮选过程中浮选槽中泡沫形态呈动态变化,且存在兼并破裂等现象,在对浮选面积进行统计时,采用PDF泡沫概率统计方法,优化泡沫表征分析算法,分析泡沫大小与回收率之间的相关性。结果表明:通过计算统计整个浮选过程中的泡沫面积概率分布,并使用BP神经网络建立预测模型,对浮选泡沫面积与回收率相关性进行样本训练,即可对稀土矿物的浮选回收率进行预测。With the Baiyan Obo rare earth ore as the research object,the correlation between the size of foam and the recovery rate was characterized by flotation foam during flotation process.Combined with computer image processing technology and using Matlab mathematical analysis software in algorithm design,foam image preprocessing,threshold segmentation and Canny operator edge detection,extraction of foam edge characteristic information and accurate segmentation of foam edge by pixel grid calibration,the foam size was quantitatively estimated and counting of foam size distribution was made.In the actual flotation process,the foam shape in the flotation cell changes dynamically,and there are mergers and bursts,etc.In the statistics of flotation area,the PDF foam probability statistical method is adopted to optimize the foam characterization analysis algorithm to analyze the correlation between the size of the foam and the recovery rate.The results showed that by calculating and counting the probability of foam area distribution in the whole flotation process and using BP neural network to establish a prediction model,the correlation between the foam area of flotation and the recovery rate is sampled,so that the recovery rate of flotation of rare earth mineral can be predicted.

关 键 词：稀土 浮选 泡沫 起泡剂 图像处理 预测模型 

分 类 号：TD955[矿业工程—选矿]