Optimization control of ball mill load in blending process with data fusion and case-based reasoning

Ball mill is used widely in various productions,such as chemical industry,metallurgical industry and power industry.Ball mill is high energy consumption equipment,whose load is the key index that affects the production efficiency and energy consumption.In the blending process of sintering alumina production,raw materials are fed into the ball mill and blended to form the raw slurry.In order to make ball mill work at the optimal load state,a control strategy of the ball mill load in the blending process was proposed with data fusion and case-based reasoning.Current and vibration were used to estimate the state of ball mill load with data fusion technology,and ball mill load was controlled to achieve the optimal state with case-based reasoning.Industrial experiment in an alumina factory showed the validity of the proposed control strategy.