Blast furnace multi-element molten iron quality prediction control method and system

A quality prediction and control method technology, applied in general control systems, control/regulation systems, program control, etc., can solve the problems of effective control of difficult multi-element molten iron quality indicators, high degree of nonlinearity, and various types of raw materials and fuels.

Active Publication Date: 2016-12-21
NORTHEASTERN UNIV
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Problems solved by technology

Although the control of a single molten iron index has achieved certain results, the raw materials and fuels involved in the production process of blast furnace molten iron are many and complex, the coupling bet

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  • Blast furnace multi-element molten iron quality prediction control method and system
  • Blast furnace multi-element molten iron quality prediction control method and system
  • Blast furnace multi-element molten iron quality prediction control method and system

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Embodiment Construction

[0072] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0073] A method for predicting and controlling the quality of blast furnace multi-element molten iron, such as figure 1 shown, including:

[0074] Step 1, setting the expected value of the multi-element molten iron quality index of the blast furnace, the multi-element molten iron quality index includes silicon content, molten iron temperature;

[0075] Step 2. Obtain the historical data of blast furnace production, and establish a blast furnace multi-element molten iron quality prediction model. The model takes hot blast temperature, hot air pressure, oxygen enrichment rate, and set coal injection amount as input, and multi-output multi-element molten iron quality index as output Least squares support vector regression model;

[0076] Such as figure 2 As shown, the step 2 includes:

[0077] Step 2-1, obtaining the historica...

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Abstract

The invention provides a blast furnace multi-element molten iron quality prediction control method and system. The method includes: setting the expected value of the quality index of blast furnace multi-element molten iron; obtaining blast furnace production history data, establishing a blast furnace multi-element molten iron quality prediction model; using the sequence quadratic programming algorithm and the blast furnace multi-element molten iron quality prediction model to calculate and obtain the optimal blast furnace multi-element molten iron quality The input of the prediction model is the optimal control quantity; the optimal control quantity is fed back to the corresponding executive agency, so that the quality index of the blast furnace multi-element molten iron can track the expected value of the set blast furnace multi-element molten iron quality index. The system includes: an index setting unit, a model training unit, a tracking calculation unit, and a feedback control unit. The invention can make the multi-element molten iron quality index meet the given requirement accurately and quickly, has the advantages of good tracking performance and strong anti-interference, reduces energy consumption and cost in the production process, and further improves the quality of the molten iron.

Description

technical field [0001] The invention relates to the technical field of blast furnace ironmaking process control, in particular to a blast furnace multi-element molten iron quality prediction control method and system. Background technique [0002] The iron and steel industry plays an important role in the country's economic development and is an important symbol of the country's economic level and comprehensive national strength. Blast furnace ironmaking is an important link in the iron and steel industry, and the quality of its molten iron directly affects the entire subsequent steelmaking process, and even the quality of finished steel products. In the blast furnace smelting process, the quality indicators of multi-element molten iron are usually measured by silicon content ([Si]) and molten iron temperature (MIT). Silicon content is an important index to evaluate the stability of blast furnace conditions and the quality of pig iron, and it is also one of the symbols that...

Claims

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Application Information

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IPC IPC(8): G05B19/418
CPCY02P90/02G05B19/41875
Inventor 周平梁延灼
Owner NORTHEASTERN UNIV
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