The prediction of pulverized coal supply in pelletizing rotary kilns is crucial for the precise control of rotary kilns and the construction of smart factories.However,it is difficult to achieve an ac-curate prediction of coal,which are influenced by various factors,just based on the historical data of coal consumption.Therefore,an XGBoost prediction model is established in this study.Many factors influencing the pulverized coal consumption are screened,and the key factors are determined.A pellet plant located in Liaoning Province,China,is used as a case study of the prediction of the supply of pulverized coal.The results show that the predicted values are in good agreement with the actual data.The mean absolute percentage error(MAPE)of the prediction of pulverized coal consumption is 7.22% for the whole investigated period,while the values of MAPE for smooth and unsmooth periods are 6.1% and 8.9% ,respectively.
维普
万方数据
