一种应用于无取向硅钢来料缺陷的在线预警及应对方法
By installing surface defect detectors at the inlet and outlet of the continuous rolling mill and interacting with the control computer of the cold rolling mill, the automatic detection and early warning of surface defects in incoming non-oriented silicon steel is realized, solving the problem of reliance on manual intervention in the existing technology and improving rolling stability and production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BAOSHAN IRON & STEEL CO LTD
- Filing Date
- 2024-03-27
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing technology, the detection of surface defects in incoming non-oriented silicon steel relies on manual intervention and lacks reasonable control standards, resulting in poor rolling stability and a high risk of serious production accidents such as strip breakage.
Image recognition technology is installed at the entrance and exit of the continuous rolling mill. The material of the incoming material is monitored in real time through a surface defect detector to achieve automatic detection. The system also interacts with the control computer of the cold rolling mill to provide automatic warnings and responses based on the location and area of defects, including operations such as normal rolling, speed reduction rolling, and roll gap adjustment.
It enables automatic detection and early warning of surface defects in incoming non-oriented silicon steel, improves rolling stability, reduces the probability of production accidents, and increases production efficiency.
Smart Images
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