双边剪切工艺中钢板对中过程需要人工目视激光线进行余量观测,操作复杂且主观判断影响数据准确性。 为此设计基 于机器视觉的双边剪钢板自动对中系统,依赖沿辊道分布的多组面阵相机进行辊道钢板状态数据采集,利用现场测量数据及钢 板目标宽度标定出两条虚拟剪切线,摆脱对传统辅助激光线的依赖。 同时系统中采用级联的钢板对象提取模型,采用先粗后精 的分步提取思想,提升钢板边缘检测精度。 依据钢板轮廓位置与虚拟剪切线位置关系换算出移动距离,从而控制磁力对中装置 完成钢板对中过程,提升双边剪工艺的自动化程度。 实际应用结果表明,系统对于钢板宽度测量误差小于 5 mm,系统自动控制 对中误差小于 10 mm,满足企业自动控制需求。
In the double-sided shearing process, the steel plate alignment process requires manual visual observation of the laser beam allowance, which is complex in operation and subjective judgments that affect data accuracy. Therefore, in this paper, an automatic alignment system for double-sided steel plate shearing based on machine vision is designed, which relies on multiple sets of area array cameras distributed along the roller table to collect the status data of the steel plate on the roller table. Using on-site measurement data and the target width of the steel plate, two virtual cutting lines are calibrated, eliminating the dependence on traditional auxiliary laser lines. At the same time, a cascaded steel plate object extraction model is adopted in the system, and the step-by-step extraction idea of “rough first and then fine” is adopted to improve the accuracy of steel plate edge detection. The movement distance is converted based on the relationship between the steel plate contour position and the virtual shear line position, thereby controlling the magnetic centering device to complete the steel plate centering process and improving the automation of the double sided shear process. The actual application results show that the system has a measurement error of less than 5 mm for the width of steel plates, and an automatic control centering error of less than 10 mm, meeting the automatic control requirements of enterprises.