基于YOLOv5算法的智能剥锌机预开口识别技术研究

    Research on intelligent zinc stripping machine pre opening recognition technology based on YOLOv5 algorithm

    • 摘要: 预开口作业是锌电解智能剥锌系统的核心工序,预开口效果直接决定后续工序是否能够自动化连续运行。本文以矿冶科技集团研发的新一代智能剥锌机为研究对象,对智能剥锌机基本机构及开口原理进行了分析,提出了一种基于YOLOv5算法的智能剥锌机预开口识别技术,并进行了仿真分析和实验验证。实验结果表明:预开口轮廓平均识别精度达到99%,解决了智能剥锌系统无法连续化作业难题,可很好地满足生产需求,具有重要的工程应用指导意义。

       

      Abstract: The pre opening operation is the core process of the intelligent zinc stripping system in zinc electrolysis, and the pre opening effect directly determines whether the subsequent processes can operate automatically and continuously. This paper takes the new generation intelligent zinc stripping machine developed by the Mining and Metallurgical Technology Group as the research object, analyzes the basic mechanism and opening principle of the intelligent zinc stripping machine, proposes a pre opening recognition technology for the intelligent zinc stripping machine based on the YOLOv5 algorithm, and conducts simulation analysis and experimental verification. The experimental results show that the average recognition accuracy of the pre opening contour reaches 99%, which solves the problem of the intelligent zinc stripping system not being able to continuously operate and can well meet production needs. It has important engineering application guidance significance.

       

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