Blast furnace collapse prediction method

Abstract

The invention provides a blast furnace collapse prediction method. The blast furnace collapse prediction method comprises the following steps: acquiring a reference image; obtaining a to-be-identifiedimage, carrying out image matching with the reference image, and determining whether the obtained to-be-identified image is a collapse trend or not, wherein feature extraction is carried out on a plurality of features of the image before material collapse to serve as model training, the training sample comprises a sample to-be-identified image, a sample reference image, sample image contour definition, sample brightness information and a sample matching degree; taking the sample to-be-identified image and the sample reference image as training inputs; using the sample image contour, the sample brightness information and the sample matching degree as output reference values; training a training sample through the generative adversarial network, and training the initial first convolution layer, the initial second convolution layer and the initial generative adversarial network to obtain a trained first convolution layer, a trained second convolution layer and a trained generative adversarial network. Whether the current working stage of the blast furnace has a material collapse trend or not can be quickly and accurately analyzed.

Description

technical field [0001] The invention relates to the technical field of blast furnace production monitoring, in particular to a blast furnace material collapse prediction method. Background technique [0002] Blast furnace collapse is due to the blockage of the normal smelting process in the furnace, abnormal gas flow distribution, and improper handling. The collapse can lead to damage to the top equipment of the blast furnace, blast furnace cooling and other production equipment accidents. Reasons for blast furnace collapse: (1) Unreasonable blast furnace air supply system and inappropriate blast furnace air supply parameters; (2) Poor quality of raw materials and fuel materials, deterioration of air permeability in the furnace, and abnormal blast furnace air permeability index; (3) High The slag shell falls off, and the furnace temperature drops sharply; (4) The furnace type of blast furnace operation is unreasonable, and the blast furnace is damaged. [0003] In the past,...

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Problems solved by technology

[0002]Blast furnace collapse is due to the blockage of the normal smelting process in the furnace, abnormal gas flow distribution, and improper handling to form collapse; collapse can cause damage to the top equipment of the blast furnace , blast furnace cooling and other production equipment accidents

Reasons for blast furnace collapse: (1) Unreasonable blast furnace air supply system and inappropriate blast furnace air supply parameters; (2) Poor quality of raw materials and fuel materials, deterioration of air permeability in the furnace, and abnormal blast furnace air permeability index; (3) High The slag shell fell off, and the furnace temperature dropped sharply; (4) The blast furnace operation furnace type was unreasonable, and the blast furnace

[0003] used to rely on experience, but now there are various sensors and cameras to monitor the phenomenon of material collapse. , material collapse may occur at any time during the monitoring process, which has already affected the production of the blast furnace

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