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Method for forecasting silicon content in blast-furnace hot metal

A technology of silicon content and molten iron silicon, which is applied in the field of prediction of silicon content in blast furnace molten iron, and can solve problems such as unsatisfactory results.

Active Publication Date: 2013-05-29
ANGANG STEEL CO LTD
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Problems solved by technology

result in unfavorable predictions

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  • Method for forecasting silicon content in blast-furnace hot metal
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  • Method for forecasting silicon content in blast-furnace hot metal

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Embodiment Construction

[0065] The present invention will be described in detail below in conjunction with accompanying drawing and specific embodiment

[0066] (the present invention in a certain 2580m 3 blast furnace for experimental testing):

[0067] As shown in Figures 1 and 2, the present invention includes steps such as data collection, data preprocessing, prediction algorithm, result output, and operation guidance. The theoretical combustion temperature of the tuyere and the sulfur content of the previous molten iron are used as independent variables, and the weighted coefficients are obtained through multiple regression or neural network training to predict the silicon content of the next molten iron.

[0068] 1. The short-term average value of silicon content, the medium-term average value of silicon content, the long-term average value of silicon content, the theoretical combustion temperature of the tuyere corresponding to the previous molten iron, and the sulfur content of the previous...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/10
Inventor 李连成车玉满孙波孙鹏郭天永
Owner ANGANG STEEL CO LTD
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