Multi-information fusion modeling method for shapes of burden surfaces in burden distribution process of blast furnace

Abstract

The invention discloses a multi-information fusion modeling method for the shapes of burden surfaces in the burden distribution process of a blast furnace. The content of the multi-information fusion modeling method comprises: establishing a furnace burden stacking model according to hydromechanics and statistics rules, adopting a mechanism method to deduce a model function for burden surfaces in the burden distribution process of the blast furnace, establishing a parameterized prediction model, solving original burden surface shape parameters, and determining a furnace burden stacking equation; based on the fitting of radar scattered data regressed by a support vector machine, obtaining an original burden surface shape; according to data measured by a radar, solving the original burden surface shape parameters of the prediction model; using the radar to measure the height information of different radii of burden surfaces in multiple point positions of the blast furnace, and adopting the support vector machine which is applied to a regression problem to fit the height scattered points of the burden surfaces so as to obtain a burden surface function curve; determining related parameters according to a burden distribution mechanism relationship and the radar data, and correcting the prediction model according to the parameters; based on simulation results of a discrete element process, correcting the burden surface shape parameters; and obtaining a new burden surface shape function, using the burden surface shape function as an output result, and feeding the output result back as the next original burden surface.

Description

technical field [0001] The invention relates to the field of automatic control of blast furnace ironmaking, and more specifically relates to a multi-information fusion method for modeling the shape of the material surface of the blast furnace material distribution process. Background technique [0002] The blast furnace smelting process is the upstream process of the steel production process, and its CO 2 Direct and related emissions account for 90% of the total emissions of the iron and steel industry, and energy consumption accounts for 70% of the total energy consumption of the iron and steel industry. Therefore, blast furnace smelting is the main potential for iron and steel industry to realize energy saving and emission reduction. To make the blast furnace achieve the goal of energy saving and emission reduction, the key is to control the blast furnace efficiently. The key to the control of the blast furnace is the efficient control of the temperature of the blast fur...

AI Technical Summary

Problems solved by technology

[0003] For the blast furnace smelting process under high temperature and high pressure closed conditions, the shape of the blast furnace material surface is invisible to the naked eye, and it is difficult to obtain completely clear and comprehensive images even with radar

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