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Soft measuring system and method for quality indexes of multielement molten iron of blast furnace

A quality index, soft measurement technology, applied in blast furnaces, blast furnace details, manufacturing calculation systems, etc., can solve the problems of long calculation time of soft measurement model, unable to fully reflect the complex state inside the blast furnace, and low efficiency.

Inactive Publication Date: 2016-08-03
NORTHEASTERN UNIV
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Problems solved by technology

[0006] The methods reported in the above-mentioned patents and the methods in other relevant documents are all soft-measurement methods for a single molten iron quality index, such as molten iron temperature, Si content, S content, etc., and a single molten iron quality index cannot fully reflect the complex internal conditions of the blast furnace. state, it is impossible to provide comprehensive guidance for on-site operators, and the practical application value is low
Moreover, the models established by the existing molten iron quality soft measurement methods are all time-invariant models, which are not suitable for the slow time-varying characteristics of the working conditions of the blast furnace ironmaking process. Therefore, when the actual working conditions of these models change, the prediction results will be inaccurate.
In addition, most of the model structures in the existing soft-sensing methods are relatively complex, and the calculation time of the soft-sensing model is relatively long, and the industrial site needs a simple and fast soft-sensing method, so the efficiency of the above methods is low in practical applications
To sum up, at present, there is no multivariate dynamic fast online soft-sensing method for hot metal quality indicators Si content, P content, S content and hot metal temperature in the blast furnace smelting process at home and abroad.

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Embodiment Construction

[0057] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0058] This embodiment adopts detection equipment, data collector 9, and computer system 10 to realize the soft measurement method of blast furnace multi-element molten iron quality index, such as figure 1 As shown, the detection equipment includes a flowmeter 3, a thermometer 4, a pressure gauge 5, a hygrometer 6, a bosh gas volume measurement analyzer 7, and an oxygen enrichment rate measurement analyzer 8. These conventional measurement instruments are installed in each corresponding part of the blast furnace smelting system. Location. The data collector 9 is connected to various detection devices, and connected to the computer system 10 through a communication bus. The conventional measuring system mainly includes the following conventional measuring instruments including:

[0059] Three flowmeters 3 are used to measure th...

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Abstract

Provided are a soft measuring system and method for the quality indexes of multielement molten iron of a blast furnace. The system comprises a data collecting unit, a data preprocessing unit and a soft measuring unit. The method comprises the steps that parameters needed for soft measurement of the quality indexes of multielement molten iron of the blast furnace are acquired; the parameters needed for dynamic soft measurement of the quality indexes of multielement molten iron of the blast furnace are subjected to filtering, noise removal and normalization processing; dynamic soft measurement of multielement molten iron of the blast furnace is carried out through a blast furnace multielement molten iron quality index dynamic soft measurement model; and the parameters needed for soft measurement of the quality indexes of multielement molten iron of the blast furnace obtained after filtering and normalization processing are adopted as input, the current quality indexes of multielement molten iron of the blast furnace are adopted as output, output self-feedback is adopted, and the quality indexes of multielement molten iron of the blast furnace are dynamically predicted through online recurrence. The sequential relationship between the hysteresis characteristic of the blast furnace melting process and input and output variables is considered, the recurrence subspace intelligent modeling technology is adopted, and dynamic online soft measurement of the quality indexes of multielement molten iron of the blast furnace in the smelting process is achieved.

Description

technical field [0001] The invention belongs to the technical field of automatic control of blast furnace smelting, and in particular relates to a soft measurement system and method for multi-element molten iron quality indicators of blast furnaces. Background technique [0002] Blast furnace ironmaking is a dynamic process of reducing iron from iron ore and other iron-containing compounds. In order to achieve high yield and low energy consumption in the blast furnace smelting process, real-time monitoring and effective control of the internal state of the blast furnace should be carried out. However, the internal smelting environment of the blast furnace is extremely harsh. The temperature in the most violently reactive area is as high as 2,000 degrees, and the pressure is as high as about 4 times the standard atmospheric pressure. Along with the multi-phase coexistence of solid, liquid, and gas, it is difficult to monitor the internal state of the blast furnace in real time...

Claims

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Application Information

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IPC IPC(8): C21B7/24C21B5/00G06Q10/04G06Q50/04
CPCY02P90/30C21B7/24C21B5/00C21B2300/04G06Q10/04G06Q50/04
Inventor 周平宋贺达郭东伟张丽王宏
Owner NORTHEASTERN UNIV
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