Correlation analysis and application of converter flue gas and flame spectrum characteristics of furnace inlet
In allusion to the problems of interference and hysteresis of converter flue gas,a new spectral analysis technology of converter flue gas is researched by using the spectral information generated from the same origin to correct the disturbance of flue installation environment to system data acquisition.In order to explore the correlation between the two,the multifractal theory is used to calculate the characteristics of the energy value,the peak ratio of the continuum spectrum and the peak ratio of the discrete spectrum of the spectral data and the change rate of the furnace gas data,so as to find the correlation between the four.The particle swarm optimization support vector machine(PSO-SVM)prediction model is used to conduct the Prediction experiment by taking the energy value,continuum peak and discrete peak ratio of the spectral data as the input,and the change rate characteristics of the furnace gas data as the output.The results show that the maximum values of the multifractal spectra of the four indexes such as energy value and continuous spectrum peak,are close to 1.011 492,the spectral widths are close to 0.000 014 476,and the symmetry of the experimental curves are the same,indicating that the multifractal spectrum has strong self-similarity and complexity.The mean square error of the difference of experimental results of the PSO-SVM prediction model is 0.012 5.
万方数据
维普
