Blast furnace smelt controlling method with intelligent control system

Abstract

The intelligent control system for blast furnace smelting includes the first and the second optimizing stations in the main control room and several operation stations to constitute microcomputer LAN; and server in the iron smeltery connected to various control step terminals to constitute iron smeltery LAN; and the iron smeltery LAN is connected with the main control room LAN to constitute one network system for real-time acquiring and automatic transmitting of process information. The first optimizing station is provided with intelligent control software module and the second with automatic display module. During operation, the intelligent control software module traces the smelting process via real-time data acquisition and operates automatically according to the data from the LAN, and the operation results are output in man-computer dialogue and simple graphic display mode.

Description

technical field [0001] The invention relates to a method for controlling blast furnace smelting by using an intelligent control system. Background technique [0002] Among the various production processes of iron and steel complexes, the blast furnace ironmaking process is the most complicated. [0003] The existing blast furnace smelting system includes sensors for online dynamic collection of blast furnace data, and a computer monitoring system composed of several operating stations equipped in the main control room of the blast furnace to judge the working status of the blast furnace body, the thermal status of the blast furnace and the forward status of the blast furnace smelting process. The various control procedures and information transmission processes of the ironmaking process are as follows: figure 1 Shown: The on-duty foreman organizes the production process of blast furnace ironmaking in the main control room of the blast furnace: the ...

AI Technical Summary

Problems solved by technology

[0005] Obviously, due to the many factors affecting the ironmaking process, the situation is intricate, and the judgment and control of the furnace temperature are complex and diverse, so negligence and mistakes are inevitable in operation based on experience, resulting in unsatisfactory furnace conditions, decreased production, increased consumption, and fluctuations in quality.

Moreover, the experience of the foremen of each shift is not consistent, and the operating level is also different, which leads to the fact that the blast furnace smelting process cannot be kept in the best state

[0006] It can be seen from the above that although the existing blast furnace production process has realized the local automation control of each sub-process, there are two important defects in the overall operational control of the blast furnace smelting process by the foreman in the blast furnace main control room: 1. ) The data information transmission method is backward; 2) The data information processing method in the smelting process is backward, and the operation is based on personal experience

[0009] None of the above three background technical documents established the optimal state and stochastic optimal control mathematical model of the blast furnace process from the perspective of the principles of modern cybernetics and intelligent cybernetics, and established a multi-objective optimization model of the blast furnace process and intelligent control of silicon content [Si] in molten iron. Control partial differential equations; also did not establish a microcomputer local area network in ironworks to realize the "trinity" application of information networking and "intelligent control system" in operation-technology-management

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