On-line dynamic optimization control method for converter steelmaking process based on data driving

A converter steelmaking, data-driven technology, applied in the manufacture of converters, etc., can solve the problems of not clearly considering the trend of temperature and composition content, and achieve the effect of improving the overall production efficiency

Active Publication Date: 2014-06-25
NORTHEASTERN UNIV
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Problems solved by technology

The trend of temperature and the content of each element in the steelmaking system of Nippon Steel and Siemens is also for the purpose of forecastin

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  • On-line dynamic optimization control method for converter steelmaking process based on data driving
  • On-line dynamic optimization control method for converter steelmaking process based on data driving
  • On-line dynamic optimization control method for converter steelmaking process based on data driving

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Embodiment Construction

[0054] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0055] The online dynamic control system of the converter steelmaking process adopted in the data-driven online dynamic optimal control method of the converter steelmaking process in this embodiment includes the steelmaking converter, the oxygen lance and the auxiliary lance, and the spectral analysis system installed at the mouth of the steelmaking converter. instrument and flue gas analyzer, and the sub-gun uses a carbon temperature and oxygen probe.

[0056] Converter production process and control process such as figure 1 shown. In the figure, FIC001-FIC007 are weight controllers for adding auxiliary raw materials such as massive limestone, light-burned white marble, magnesite balls, etc.; FIC011 and FIC012 are gas flow controllers for top-blown oxygen and gas flow controls for bottom-blown gas, respectively. AI023 is an o...

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PUM

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Abstract

The invention discloses an on-line dynamic optimization control method for a converter steelmaking process based on data driving. The method comprises the following steps: building an off-line prediction model database; building a liquid steel temperature prediction model and a carbon content prediction model by use of a data driving method to obtain a corresponding relationship between operating variables and the temperature and carbon content of liquid steel in the converter steelmaking process; selecting a melt data unit matched with the information of the current converter steelmaking production process and determining a control reference curve of the liquid steel temperature and carbon element content; building a real-time dynamic optimization model of the converter steelmaking process and determining an optimized set value unit of each operating variable; and selecting the set value of each operating variable from the optimized set value unit so as to carry out control operation. The method disclosed by the invention can be used for realizing real-time on-line control over the converter steelmaking process and providing convenience for an operator to set selection conditions according to actual working conditions, thus the production efficiency of a steelmaking plant is improved.

Description

technical field [0001] The invention belongs to the technical field of process control in the metallurgical industry, and relates to a data-driven online dynamic optimal control method for a converter steelmaking process. Background technique [0002] The output of converter steelmaking accounts for more than 80% of the current total steelmaking output, and the control of steel in the converter steelmaking process is an important condition to ensure the quality of molten steel. [0003] Converter steelmaking production process and main control process such as figure 1 shown. A certain amount of solid steel scrap and desulfurized molten iron are loaded into the converter body. Then, the oxygen lance on the vertical furnace bottom enters the furnace mouth from above, oxygen F011 is blown in from the gun mouth, and auxiliary raw materials such as limestone and dolomite F001-F007 are added at the same time, and nitrogen and inert gas F012 are blown into the furnace bottom for ...

Claims

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Application Information

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IPC IPC(8): C21C5/35C21C5/28
Inventor 唐立新张军
Owner NORTHEASTERN UNIV
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