基于纹理粗细度测量的铝土矿浮选过程最佳精选泡沫状态分析

为实现铝土矿浮选生产工况的自动监测和智能评价,提出一种基于机器视觉的精选泡沫最佳生产状态量化分析与选择方法。首先,通过改进LBP算子实现精选泡沫图像表面纹理粗细度特征的提取;然后,进一步分析了精矿品位与精选泡沫纹理特征间的关系,以获得最佳生产工况下的精选泡沫表面纹理粗细度特征区间。该方法可以实时监测精选泡沫表面纹理的变化,并自动鉴别精选泡沫是否处于最佳生产状态,为实现铝土矿浮选过程优化控制奠定了基础。

Analysis of the best production condition of cleaner froth in bauxite flotation process based on froth texture coarseness measurement

In order to achieve the automatic monitoring and intelligent evaluation of the bauxite flotation process, a method
of analyzing and selecting the best production condition of the cleaner froth based on machine vision is presented. Firstly, the
roughness feature of froth surface texture is extracted based on the improved local binary pattern(LBP) operator. Then, the
best roughness interval of the cleaner froth texture feature in the flotation production process is obtained through analyzing
the relation between the flotation concentrate grade and the extracted surface texture features of the cleaner froth image.
This method can monitor the change of the texture feature of the cleaner froth image in real time and automatically identify
whether the cleaning process is under the best production condition, which lays the foundation of the optimal control of the
bauxite flotation process.