For BOF Endpoint Prediction Of Spectral Acquisition System Design

At present, the main method of forecasting the end of steelmaking is still dependent on human experience. In order to predict the BOF endpoint automatically and accurately, in this thesis the related problems were studied about using advanced optical system to replace human observation to predict the BOF endpoint.First of all, the development of BOF endpoint prediction was reviewed and the method of predicting BOF endpoint was compared. Based on the spectral characteristics of converter steelmaking, the spectral acquisition system working with the wave range550-900nm was then designed. After analyzing the basic elements and basic characteristics of the optical system, the flat filed concave grating was chosen as the spectroscopic devices. The TCD1304AP was chosen as the CCD sensor to fulfill the requirement of the spectral detection measurement. The output signal from the CCD sensor was magnified and was transferred into the numerical signals by ADS804E. Meanwhile, the numerical signals were stored in the FIFO of the CY7C68013system and transmitted in real-time. EP3C10E144C8was used as FPGA driver chip and Altium Designer10was employed for the designs of whole circuit, including the power system. Finally the software for the spectral detection system, including timing signals and control signals, was written by Verilog-HDL. At the same time the QUARTUS II was used to simulate the system performance. Comparison of the simulated results with data provided by the company show the agreement between them, demonstrating that the design satisfies the design requirements.