大极板自动剥锌机阴极板剥离盘故障识别技术研究

    Research on fault identification technology of cathode plate stripping disc of large pole plate automatic zinc stripping machine

    • 摘要: 本文以北矿机电科技有限责任公司研发的新一代大极板自动剥锌机为研究对象,介绍了大极板自动剥锌机总体设计方案和阴极板基本结构,针对阴极板剥离盘故障导致剥锌机效率低的难题,提出一种基于改进YOLOv8算法的故障剥离盘识别技术,通过模拟仿真实验验证,对故障剥离盘的识别准确率达到98.9%,很好地满足了现场实际生产时的检测要求,大幅提升了自动剥锌机的剥锌效率,具有广阔的工程应用前景和实际应用价值。

       

      Abstract: This paper takes the new generation of large pole plate automatic zinc stripping machine researched and developed by Beikuang Electromechanical Technology Co., Ltd. as the research object, introduces the overall design scheme of the large pole plate automatic zinc stripping machine and the basic structure of the cathode plate, and puts forward a faulty stripping disc recognition technology based on improved YOLOv8 algorithm in view of the problem that the failure of the cathode plate stripping disc leads to the low efficiency of the zinc stripping machine, and verifies that, through the simulation experiments, the recognition accuracy of the faulty stripping disc is up to 98.9%. Through simulation experiments, the accuracy of faulty stripping disc identification reaches 98.9%, which meets the detection requirements of the actual production and greatly improves the zinc stripping efficiency of the automatic zinc stripping machine, and has a broad engineering application prospect and practical application value.

       

    /

    返回文章
    返回