Method for online recognition of deviation of strip steel in furnace

Abstract

The present invention discloses a method for online recognition of deviation of a strip steel in a furnace. The method comprises: 1) collecting multiple strip steel images including a strip steel edge position; 2) adopting an attention selection method to treat the collected strip steel images to obtain the significant feature pictures of the strip steel images, wherein the significant feature pictures comprise the edge position information of the strip steel; 3) carrying out a gray stretching treatment on the significant feature pictures, and then carrying out a binaryzation treatment, wherein all the taken values in the value taking range are adopted to calculate the corresponding classes square error r2 so as to determine the first optimal gray threshold T1 and the second optimal gray threshold T2, the pixels in the pictures requiring the binaryzation treatment are divided into the target class, the background class and the interference class according to the first optimal gray threshold T1 and the second optimal gray threshold T2, the gray value of the target class pixels is set to 1, and the grey values of the background class pixels and the interference class pixels are set to 0; and 4) judging whether the deviation of the edge position of the strip steel in the binaryzation picture is more than the preset value. The technical scheme has characteristics of easy and accurate use.

Description

technical field [0001] The invention relates to an image recognition method, in particular to a strip steel image recognition method. Background technique [0002] Cold rolling is an extremely important step in the strip steel production line. The quality of this step directly affects the quality of the finished product and the production efficiency of the entire unit. With the renewal of strip steel cold tandem rolling process equipment, the specification of strip steel tends to be thinner and wider. During the production process of cold rolled steel strip, the deviation of strip steel running at high speed on the rollers in the annealing furnace will cause the strip steel to bend Or rub against the edge equipment, which will affect the success rate of the strip, damage the equipment of the unit, and affect the stable operation of the unit. The reasons for strip deviation mainly include the following aspects: 1) Conveying roller factors: the geometry of the conveying rolle...

AI Technical Summary

Problems solved by technology

The manual monitoring method cannot provide accurate deviation data, fault statistics and early warning functions. At the same time, human eyes are prone to fatigue, which leads to missed detection and false detection.

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