A method and system for predicting and controlling the quality of multi-element molten iron in a blast furnace

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 blast furnace's multi-element molten iron quality index; obtaining the blast furnace production historical data and establishing a blast furnace's multi-element molten iron quality prediction model; and using the sequential quadratic programming algorithm and the blast furnace's multi-element molten iron quality prediction model to calculate the optimal blast furnace's multi-element molten iron quality. The input of the prediction model is the optimal control amount; the optimal control amount is fed back to the corresponding actuator, so that the multi-element molten iron quality index of the blast furnace tracks the set expected value of the multi-element molten iron quality index of the blast furnace. The system includes: indicator setting unit, model training unit, tracking calculation unit, and feedback control unit. The invention can make the multi-element molten iron quality index accurately and quickly reach the given requirements, and has the advantages of good tracking performance and strong anti-interference, so that the energy consumption and cost in the production process are reduced, and the quality of the molten iron 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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