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

Abstract

The invention provides a blast furnace multi-element molten iron quality prediction control method and system. The method comprises the steps that the expected value of a blast furnace multi-element molten iron quality index is set; the production history data of a blast furnace are acquired; a multi-element molten iron quality prediction model is established; a sequence quadratic programming algorithm and the blast furnace multi-element molten iron quality prediction model are used to calculate the optimal input, namely the optimal control quantity, of the blast furnace multi-element molten iron quality prediction model; and the optimal control quantity is fed back to a corresponding executing mechanism, so that the blast furnace multi-element molten iron quality index tracks the set expected value of the blast furnace multi-element molten iron quality index. The system comprises an index setting unit, a model training unit, a tracking calculation unit and a feedback control unit. According to the invention, the multi-element molten iron quality index can accurately and quickly reach a given requirement; the method and the system have the advantages of good tracking performance and strong anti-interference ability; the energy consumption and the cost in a production process are reduced; and the molten iron quality is further improved.

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...

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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 between variables is strong, and the degree of nonlinearity is high, so the linear control method based on the linear model is difficult to control Multivariate molten iron quality indicators for effective control

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