Steel coil shape defect detection and recognition method based on target detection

A technology of defect detection and target detection, which is applied in the field of steel rolling, can solve the problems of stability and high accuracy requirements, and achieve the effects of reducing potential safety hazards, improving evaluation efficiency, and high recognition accuracy

Inactive Publication Date: 2019-09-03
UNIV OF SCI & TECH BEIJING
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The problem is that in the existing technology, there are not many attempts and practices for the industrial application of detection algorithms, mainly because industrial-level detection and control are more stable and accurate than general experimental detection or ordinary detection. Sexual demands will be higher

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  • Steel coil shape defect detection and recognition method based on target detection
  • Steel coil shape defect detection and recognition method based on target detection
  • Steel coil shape defect detection and recognition method based on target detection

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Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] On the contrary, the invention covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of the invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the detailed description of the present invention below. The present invention can be fully understood by those skilled in the art without the description of these detailed parts.

[0044] Embodiments of the present invention provide a method for detecting and identifying steel coil ...

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Abstract

The invention belongs to the field of steel coil rolling, and relates to a steel coil shape defect detection and recognition method based on target detection. A large number of steel coil shape pictures are obtained from the site to construct a coil shape defect data set, and the task of detecting and identifying the coil shape defects of the steel coil is completed in the traditional steel production industry by utilizing the currently advanced Faster-RCNN target detection algorithm with high identification precision and high detection speed, and meanwhile, the Faster-RCNN is subjected to model compression by pruning, so that the model can meet the industrial embedded requirements. According to the method, a modern intelligent detection technology is utilized, and the method is applied toindustrial production detection of the steel coil.

Description

technical field [0001] The present invention relates to the field of iron and steel rolling, and more specifically, relates to a pruning optimization target detection algorithm Faster-RCNN realized by deep neural network, based on target detection, a unified method for coil shape defect detection and identification of target steel coils . Background technique [0002] Cold and hot rolled strip steel is an important basic material for economic development, and is widely used in various industrial fields such as machinery, construction, national defense, and aerospace. Among them, the coiling area is the last step of the hot rolling main rolling line, and the coil shape is used as the key index. The quality of the coil shape has a significant impact on transportation and subsequent production. As far as hot rolling itself is concerned, poor coil shape needs to be dealt with by downstream teams or recoiled on the upper leveling line, which will not only increase production cos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06Q50/04G01N21/88
CPCG06Q50/04G01N21/8851G01N2021/8887G06V20/00G06N3/044G06N3/045G06F18/214G06F18/24Y02P90/30
Inventor 张飞戴伟琦李静郭强肖雄宗胜悦凌智王迪袁婵
Owner UNIV OF SCI & TECH BEIJING
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