Blast furnace charge distribution real-time forecasting system and blast furnace charge distribution real-time forecasting method

Abstract

The invention provides a blast furnace charge distribution real-time forecasting system and a blast furnace charge distribution real-time forecasting method. The blast furnace charge distribution real-time forecasting system comprises a data acquisition device, a data processor, an initial charge level setter, an identical-level new charge level detector, a multi-level new charge level detector, a charge level descending module, a charge level distribution information generator and a distribution controller. The method comprises the steps of acquiring process data of a blast furnace in the production process; processing furnace charge weight and test data in the process data of the blast furnace in the production process; setting an initial charge level; establishing a new charge level under a same distribution level; forming a multi-level new charge level; establishing a descending charge level; calculating the distribution information of a charge layer, and drawing a charge layer distribution image; instructing the production and operation according to the charge layer distribution information forecasted according to the distribution of the blast furnace charge in real time. The method for combining a mechanism model and data drive is adopted, the distribution of blast furnace ore coke can be reasonably adjusted according to the judgment of the ore coke distribution furnace condition and the output result of the distribution model, the fluctuation of the furnace condition can be prevented, and the downtime ratio caused by the abnormality of the furnace situation can be reduced.

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

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