Abstract:Accurate prediction of air input in bio-oxidation pretreatment is of great significance for improving the gold extraction rate , saving energy and reducing consumption. The continuity equation and motion equation of the gas pipe flow are used as governing equations, the Preissmann implicit scheme method is adopted as the difference method. At the same time, according to the principle of Ensemble Kalman filter (EnKF) algorithm, a state space model of air input and pressure is constructed. The results show that the predicted results of the air input model based on the gas pipe flow control equation are in ideal agreement with the observed values of the actual air input. Compared with the traditional static prediction method, the EnKF assimilation method introduces real-time observation values and model parameter updates, which effectively improves the prediction accuracy of the air input, and its mean absolute error, mean relative error and root mean square error are significantly reduced. It can be seen that the prediction model established based on the gas pipe flow control equation combined with the EnKF assimilation method is an effective method to improve the prediction accuracy of the air input of the bio-oxidation tank.