铜火法冶炼热动力学系统实测数据EMD处理

Process on measurement data from copper pyrometallurgical heat dynamical system by using of EMD method

为提高铜火法冶炼热动力学系统热工关键参数控制精度,针对热工关键参数信号的瞬时非线性特点,将热工关键参数信号EMD分解,并通过能量特征提取有用的IMF分量,去掉主要干扰因素所对应的IMF的影响,再将剩余IMF分量进行重构得到关键热工参数信号的真实趋势。铜精炼过程重油流量数据EMD处理以及铜锍吹炼过程氧化空气压力数据EMD处理实例表明,重油输送管路压降振荡脉动是引起重油流量信号无规则波动的主要原因,而压降振荡是引起铜锍吹炼过程氧化空气压力信号振荡的主要原因,去掉相关IMF分量所对应的干扰因素,重构后的信号能反映参数信号的真实波动趋势。本文所提出的方法用于分析非线性不确定的铜火法冶炼热动力学系统关键热工参数信号变化的真实趋势具有较好的效果。

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.