Strip steel sample intelligent sampling method and device with visual identification system

CN122306460APending Publication Date: 2026-06-30BAOSHAN IRON & STEEL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BAOSHAN IRON & STEEL CO LTD
Filing Date
2024-12-31
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

In existing automatic strip sample collection methods, robot sampling often fails, such as the sample not being successfully adsorbed or falling off midway, which may result in the sample being labeled twice or samples being missed. In addition, the elongation of the rear coil head and the front coil tail of the strip may be inconsistent, affecting performance.

Method used

A sampling method with a visual recognition system is adopted. The visual recognition unit and resistance measurement unit on the sampling robot identify the sample to determine whether the grasp is successful. After grasping, the angle and position of the sample are adjusted to ensure accurate sampling. After detecting the label on the sample surface, the labeling operation is performed. Combined with remote server control of the sampling process, intelligent sampling is achieved.

Benefits of technology

It improved the sampling success rate, reduced the probability of performance rework, ensured that the number of sampling blocks matched the product type, realized unmanned sampling, and improved labor efficiency and production efficiency.

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Abstract

This invention discloses an intelligent sampling method and device for steel strip samples with a visual recognition system. The sampling robotic arm is equipped with a visual recognition unit and a resistance measurement unit. Visual recognition and resistance value detection identify whether the sample is missing or the label is detached. During sampling, the robotic arm is intelligently controlled to align its angle before affixing labels and taking samples, improving the sampling success rate. Furthermore, the number of scrap pieces is linked to the location and length of discrepancies in flatness and elongation, ensuring that the sampled samples have acceptable flatness and elongation, greatly reducing the probability of performance rework. Simultaneously, linking the number of sampled pieces to the product type ensures that the sampling operation is completely unmanned during normal production, significantly improving labor efficiency and reducing the workload of operators.
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