Abstract:In order to improve control accuracy of key parameters about heat engineering from copper pyrometallurgical heat dynamical system, a new method for recognition of specific frequency band was put forward by using of power spectrum of its intrinsic mode function components based on the instantaneous nonlinear characteristic of key parameters about heat engineering. By using of empirical mode decomposition, instantaneous key parameters signals about heat engineering are decomposed into a series of IMFs, each of which covers a specific frequency band, which means corresponding disturbance factor. Then useful IMFs are selected as features to reconstruct key parameters signals about heat engineering which present true trend for key parameters signals about heat engineering. The application examples that the main reason for the fluctuation of the signals of the heavy oil flow is the pulsating of the signals of the heavy oil transmission pipeline pressure drop, the main reason leading to the oscillation of the signals of the air pressure is the fluctuation of the pressure drop. And removing the affecting factors of IMFs, reconstructed signals can be expressed as exact description of fluctuation value. The proposed method is reasonable to process non-linear key parameters signal about heat engineering from copper pyrometallurgical heat dynamical system.

Key words: copper pyrometallurgical; heat dynamical system; empirical mode decomposition; intrinsic mode function