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Blast furnace crude fuel evaluation method based on data self-learning

A technology of raw materials and self-learning, which is applied in the quality management of blast furnace raw materials and blast furnace production, and can solve the problems that a scientific and systematic evaluation system has not been formed, and the conditions of blast furnaces cannot be greatly optimized.

Inactive Publication Date: 2022-04-26
SHANXI TAIGANG STAINLESS STEEL CO LTD
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  • Summary
  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

Due to production conditions, resource and environmental constraints, and the purpose of cost reduction, the quality of raw materials and fuels of blast furnaces often changes greatly. However, for the quality evaluation system of blast furnace raw materials and fuels, different blast furnaces have different responses. , qualitative evaluation mainly, and no scientific and systematic evaluation system has been formed, so the blast furnace conditions cannot be greatly optimized

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  • Blast furnace crude fuel evaluation method based on data self-learning
  • Blast furnace crude fuel evaluation method based on data self-learning

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Embodiment Construction

[0008] Combined with the actual production of blast furnaces, and using statistical analysis principles in technology, a raw and fuel evaluation model for data self-learning was established, which accurately reflected the quality level of raw and fuels with quantitative analysis methods, and realized the scientific evaluation of the quality of raw and fuel for blast furnaces. The operation has significant guiding significance and practical value. This evaluation method has been successfully applied to the 6# blast furnace of Taiyuan Iron and Steel Co., Ltd., and achieved good results. The main benefits are as follows:

[0009] The daily output of molten iron in 6# blast furnace of TISCO was increased from 9577t / d to 10089t / d. According to the normal production and operation of iron and steel enterprises, the economic benefit brought by each ton of molten iron to the enterprise is at least 200 yuan / tFe; the fuel ratio is reduced from 513.8kg / tFe to 506.0kg / tFe (of which: the co...

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Abstract

The invention relates to the technical field of blast furnace production, in particular to a blast furnace crude fuel evaluation method based on data self-learning, which comprises the following steps: acquiring the types of crude fuels used by a blast furnace and the types of raw materials included in each type of crude fuel, the raw material model is a distinguishing number generated by different manufacturers or production processes of the same type of crude fuel, and setting a parameter type to be investigated by each type of crude fuel, a parameter weight and a scoring mode to which each parameter belongs; the actual score of each parameter of each raw material model of each raw fuel is the product R * phi of the basic score and the parameter scoring coefficient, and the actual score R of each raw fuel is integrated into the cumulative sum of the products of the basic score and the parameter scoring coefficient of each parameter of all the raw material models of the raw fuel.

Description

technical field [0001] The invention relates to the technical field of blast furnace production, in particular to the field of blast furnace raw fuel quality management. Background technique [0002] In the blast furnace production process, the quality and stability of the raw material and fuel directly affect the stability of the blast furnace condition and the blast furnace production technical indicators. In the blast furnace ironmaking industry, the saying "70% raw material, 30% operation" has been widely recognized. Due to production conditions, resource and environmental constraints, and the purpose of reducing costs, the quality of raw materials and fuels of blast furnaces often changes greatly. However, for the quality evaluation system of blast furnace raw materials and fuels, different blast furnaces have different responses. , qualitative evaluation, and no scientific and systematic evaluation system has been formed, so the condition of the blast furnace cannot b...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C21B5/00
CPCC21B5/003C21B2300/04
Inventor 李壮年赵新民李宝峰陈树文宋建忠武树永
Owner SHANXI TAIGANG STAINLESS STEEL CO LTD