Flotation Control System Based on Recognition of Froth Image

摘要

In industrial flotation, froth layer plays an important role and reflects directly whether coal, air, water and reagents match each other properly or not and whether the quality of flotation is good or not. So the supervision and recognition of the state of froth layer is very important in the flotation process. The ash content of clean coal froth was predicted through extracting the features of images of flotation froth. The froth images were classified according to their structure. A control system of adding flotation reagents was established based on the LVQ neural net.