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A correction method and system for a carbon content prediction model at the end point of a converter

A prediction model, a technology for the end point of a converter, which is applied in the fields of manufacturing converters, improving process efficiency, and steel manufacturing processes, and can solve the problems of not considering production conditions, prone to fluctuations, and unstable carbon content prediction accuracy.

Active Publication Date: 2021-11-30
WISDRI ENG & RES INC LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, the self-learning system of the sub-lance model is prone to fluctuations, and does not consider the actual production situation of this furnace, especially the influence of slag control on the decarburization rate. Therefore, in the actual process, the predicted value of carbon content Accuracy is unstable

Method used

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  • A correction method and system for a carbon content prediction model at the end point of a converter
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  • A correction method and system for a carbon content prediction model at the end point of a converter

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Embodiment 1

[0034] This embodiment discloses a correction method for the carbon content prediction model at the end point of the converter, including:

[0035] Collect the carbon content C of molten iron added to the converter during the smelting process 1 , TSC carbon content C 2 and the carbon content C before the carbon is drawn at the end point 3 ;

[0036] Specifically, in the double converter process, the decarburization furnace uses all molten iron for smelting, and no scrap steel is added. According to the principle of carbon balance, the source of carbon content in the converter is only molten iron, and the destination of carbon content is only carbon monoxide and carbon dioxide in the flue gas through oxygen blowing decarburization. Specifically, the carbon content can be obtained by the converter sub-lance system.

[0037] Collect the converter flue gas flow rate and the volume percentages of carbon monoxide and carbon dioxide in the flue gas during the converter smelting p...

Embodiment 2

[0049] This embodiment discloses a correction system for a carbon content prediction model at the end point of a converter, which is characterized in that it includes: a measurement module, a flue gas analysis module, and a calculation module, wherein,

[0050] Measurement module 1, used to collect the carbon content C of molten iron added to the converter during the smelting process 1 , TSC carbon content C 2 and the carbon content C before the carbon is drawn at the end point 3; In some preferred embodiments, the carbon content can be obtained by the converter sub-lance system.

[0051] The flue gas analysis module 2 is used to collect the converter flue gas flow rate, the volume percentage content of carbon monoxide and carbon dioxide in the flue gas during the converter smelting process; in some preferred embodiments, the converter flue gas flow rate, the volume of carbon monoxide and carbon dioxide in the flue gas The percentage content can be obtained by the flow meter...

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Abstract

The invention discloses a correction method for a carbon content prediction model at the end point of a converter, comprising: collecting the carbon content C of molten iron added to the converter during the smelting process 1 , TSC carbon content C 2 and the carbon content C before the carbon is drawn at the end point 3 ; Collect the converter flue gas flow rate, the volume percentage content of carbon monoxide and carbon dioxide in the flue gas during the converter smelting process; use the collected molten iron carbon content C 1 , TSC carbon content C 2 , flue gas flow, carbon monoxide and carbon dioxide in the flue gas are calculated to obtain the correction coefficient, and the correction coefficient is used to correct the carbon content prediction model, and the carbon content C before the end point is corrected 3 . The invention solves the problems in the prior art that the self-learning system of the carbon content prediction model is prone to fluctuations, and does not consider the actual production situation of the furnace, especially the influence of slag amount control on the decarburization rate, and the problem of unstable accuracy.

Description

technical field [0001] The invention belongs to the technical field of converter steelmaking, and in particular relates to a correction method and system for a carbon content prediction model at the end point of a converter. Background technique [0002] Automated steelmaking technology is a highly difficult and complex technology integrating automation control, metallurgical mechanism, production technology, mathematical model, artificial intelligence, mathematical simulation, computer and other technologies. Because converter steelmaking is a very complex multi-component, multi-phase, high-temperature non-characteristic physical and chemical reaction process. There are many uncertain factors, and it is difficult to accurately and continuously detect the process parameters of molten steel in the converter blowing process online, so a mathematical model is used. [0003] The mathematical model of the converter steelmaking technology includes the carbon prediction model of t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C21C5/28
CPCC21C5/28C21C2300/06Y02P10/25
Inventor 罗磊封伟华陈建辉宋晓燕吴鹏飞姚娟张文肖志鹏葛君生雷加鹏
Owner WISDRI ENG & RES INC LTD