In Converter Steelmaking Furnace Mouth Flame Linear Regression Analysis

To judge steelmaking end-point of the converter online, a new method based on the unifying of the flame radiation intensity and the image information from converter mouth is presented in this dissertation. And the corresponding experimental system has been constructed. This system is mainly consist of a multi-frequency information acquisition system,which was designed based on multi-single spectrum by use of optical fiber and DirectShow. The experiment results show that the light intensity and the image characteristic information have the remarkable varying tendency in the steelmaking blowing process. Based on this phenomenon, mathematical model of the end-point time had been established by use of the regression analysis method. The significance test results show that the sample determination coefficient is 0.98 and the F-test value is 416.19 bigger than the critical value 2.36. Therefore the model has good fitting degree and the regression equation is significant. The prediction precision of the model is 91.7%, and it suits the converter end-point control online and the fast tapping model request.