A system and method for real-time forecasting of blast furnace charge distribution

Abstract

The invention provides a system and method for real-time forecasting of blast furnace charge distribution, which includes a data collection device, a data processor, an initial charge level setter, a new charge level detector at the same gear, and a new charge level detector at multiple gears. Material level drop module, material surface distribution information generator and distribution controller; the method includes obtaining the current blast furnace production process process data; processing the charge weight and laboratory data in the blast furnace production process process data; setting the initial material level; constructing the same distribution file The new material surface under the position; forming the new material surface under multiple gears; constructing the lowering material surface; calculating the material layer distribution information and drawing the material layer distribution image; guiding the production operation based on the material layer distribution information predicted in real time of the blast furnace material distribution. This invention adopts a method that combines mechanism model and data drive. It can reasonably adjust the distribution of coke in the blast furnace based on the judgment of furnace conditions of coke distribution and the output results of the distribution model, suppress fluctuations in furnace conditions, and reduce the risk of abnormal furnace conditions. Rest rate.

Description

technical field [0001] The invention belongs to the technical field of digital simulation of blast furnace charge distribution, in particular to a real-time forecast system and method for blast furnace charge distribution. Background technique [0002] Blast furnace smelting is a continuous production process, and the whole process is completed in the mutual contact process of furnace material from top to bottom and gas from bottom to top. The charge is loaded into the furnace from the top of the furnace, and the hot air heated by the hot blast stove to 1000-1300°C is blown in from the tuyere. In the process, the slowly falling charge is heated and the iron oxides in the iron ore are reduced to metallic iron. After the ore reaches a certain temperature, it softens, melts and drips, and the unreduced substances in the ore form slag, realizing the separation of slag and iron. The melted slag iron gathers in the furnace hearth and undergoes many reactions. Finally, the iron c...

AI Technical Summary

Problems solved by technology

[0004] 1) The complexity of the process

The blast furnace is by far the most complex metallurgical reactor, and various physical and chemical phenomena that occur inside the blast furnace, especially in the lower part of the blast furnace, have not yet been fully and fully understood

[0005] 2) Incomplete detection information

The specific performance is that there are few detection points, and most of them are limited to the boundary of the process (furnace roof, slag iron, tuyere, static pressure of the furnace shaft, etc.), the reaction and changes in the furnace during the entire smelting process of the blast furnace cannot be directly observed, and the detection methods and methods are subject to certain restrictions. limits

[0006] 3) The production process lags behind, and the response speed of the controlled process is slow

[0007] 4) The controllable range is narrow

[0010] At present, the blast furnace is equipped with an expert system, which has functions such as charge control and tapping management, but there is no real-time distribution forecast model for the charge layer, and it is impossible to obtain accurate ore coke distribution, and cannot judge the charge drop, gas flow distribution and charge layer. The influence of factors such as slump on the distribution of the material layer, therefore, the development of the distribution model of the furnace material is very necessary for maintaining the blast furnace model, improving the reasonable distribution of the blast furnace, and reducing the fuel ratio

There are many models of furnace charge distribution, and the simulation methods mostly use geometric methods, most of which only simulate half of the material layer in the furnace throat area. There are few studies on the real-time distribution of the material layer in the entire furnace body area, which cannot meet the requirements of complex furnace charge distribution on site. Numerical Simulation Requirements

A numerical simulation method of blast furnace material distribution based on intelligent algorithm proposed by Beijing Shougang Automation (application number: 201210055516.9) proposes the numerical simulation problem of material layer distribution in the furnace throat area. , this method has a large deviation from the actual position far away from the furnace throat area, and there is insufficient calculation of the shape of the material layer formed by the charging method in some special periods of furnace conditions; Cheng Shusen of Beijing University of Science and Technology proposed a method based on optical grids Three-dimensional material surface display (new technology of bellless blast furnace material distribution test and three-dimensional image reconstruction of material surface) cannot give the shape of other multi-layer material surfaces from the furnace throat to the upper part of the furnace body

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