Method for forecasting silicon content in blast-furnace hot metal

Abstract

The invention discloses a method for forecasting the silicon content in blast-furnace hot metal, which comprises the steps of data parameter selection, pre-processing, prediction algorithm, result output and operation guidance. In the step of data parameter selection, five parameters such as short-term mean value of the silicon content, medium-term mean value of the silicon content, long-term mean value of the silicon content, tuyere theoretical combustion temperature corresponding to the previous hot metal and sulfur content in the previous hot metal are adopted, and the silicon content is predicted through the prediction algorithm. When the furnace condition fluctuation is small, an average line system is mainly used; and when the furnace condition fluctuation is large, the tuyere theoretical combustion temperature and the sulfur content in the previous hot metal are automatically added. In the invention, less data parameters are adopted, better forecasting precision is obtained andthe forecasting correctness of the silicon content in the blast-furnace hot metal is improved.

Description

technical field [0001] The invention belongs to the technical field of automatic detection, and in particular relates to a method for predicting the silicon content of molten iron in the blast furnace during the blast furnace smelting process. Background technique [0002] The blast furnace is a closed high-temperature reaction vessel. The production process is accompanied by complex physical and chemical reactions and heat and mass transfer processes, and its internal changes cannot be directly detected. Generally, the process parameters are used to indirectly judge the working status of the blast furnace. In the smelting process, furnace temperature control is the most important link in blast furnace operation. If the furnace temperature fluctuates, the formation of "overheating" or "overcooling" will directly affect the smoothness of the furnace condition. Experience shows that there is a positive correlation between the silicon content of molten iron and the furnace te...

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