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

A technology of multi-information fusion and modeling method, which is applied in the field of blast furnace material distribution process material surface shape modeling, can solve the problem that it is difficult to obtain completely clear and comprehensive images, and achieve the effect of improving accuracy

Active Publication Date: 2016-09-21
YANSHAN UNIV
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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

Method used

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

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Embodiment Construction

[0023] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0024] A method for modeling the shape of the material surface of a blast furnace material distribution process based on multi-information fusion of the present invention, the process diagram of the blast furnace material surface modeling method is as follows figure 1 shown; the method includes the following steps:

[0025] Step 11: Establishing a charge accumulation model according to fluid mechanics and statistical laws, using a mechanism method to derive a charge level model function in the blast furnace charge distribution process, establishing a parameterized prediction model, solving the shape parameters of the original charge level, and determining the charge accumulation equation;

[0026] The described determination of charge accumulation equation is to determine the Gaussian function and trigonometric function as the basic functions of...

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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...

Claims

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Application Information

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IPC IPC(8): C21B5/00
CPCC21B5/006C21B5/008C21B2300/04
Inventor 华长春李祥龙李军朋胡海洋赵彦兵关新平
Owner YANSHAN UNIV
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