Ash Content Prediction of Floating Products Based on QPSO-Kriging
The key parameters in the flotation process of coal slurry were analyzed,and a mathematical model was established.A flotation system control method based on quantum-behaved particle swarm-optimized(QPSO)Kriging interpolation was proposed,and an adaptive flotation control system was de-signed.The experimental results show that the system can adjust the control parameters according to the real-time data to achieve the best flotation effect.It improves the recovery rate of coal slurry and the sorting efficiency and reduces the energy consumption and the consumption of flotation agents.
万方数据
维普
