Steel coil shape defect detection and recognition method based on target detection
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- UNIV OF SCI & TECH BEIJING
- Publication Date
- 2019-09-03
- Estimated Expiration
- Not applicable · inactive patent
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Abstract
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...