基于投影光条法智能矫直系统板形检测研究

Research on plate shape detection of intelligent straightening system based on projection light strip method

针对多样化板材零件矫直,采用投影光条法对板形平直度检测进行了研究,旨在解决单件板材零件在矫直前、后的板形识别问题。通过研究光条图像的滤波去噪、边缘检测算法和中心线提取方法,并对条纹图像处理算法进行了大量的计算机仿真实验对比,选取了适合本系统的光条图像处理方法,实现了对板材零件的平直度计算和板形重构。研究结果表明,该系统的检测误差小于±0.5 mm,对于规则形状板材零件的板形识别,系统响应时间为1.5 s;对于有孔的不规则形状板材零件的板形识别,其系统响应时间为1.8 s。该方法可有效用于矫直系统中各类金属板材零件的平直度检测,并能显著提高矫直系统的自动化和智能化水平,是一种非接触式全局测量方法,能有效克服传统测量方式对板材表面的损伤。

Aiming at the variety of plate components straightening,the plate flatness detection was studied by using projection light strip method to solve the plate shape identification of the single sheet components before and after the straightening.By studying the filtering and denoising techniques for light stripe images,edge detection algorithms and centerline extraction methods,a large number of computer simulation experiments were conducted to compare different stripe image processing algorithms.The suitable light strip image processing method for this system was selected to realize the the flatness calculation and strip shape reconstruction of the sheet components.The research results show that the detection error of the system is less than±0.5 mm.The response time of the system is 1.5 s for flatness detection of regular-shaped plate components.The response time of the system is 1.8 s for plate shape detection of irregular-shaped plate components with holes.The method can be effectively used to detect the flatness of various metal plate components in straightening systems and can significantly improve the level of automation and intelligence of the straightening system.It is a non-contact global measurement method,which can effectively overcome the surface damage caused by traditional measurement methods of the date components.