摘要
针对人工参与中空滤棒端面检测准确率低、滞后性大的问题,基于机器视觉技术,对中空滤棒端面视觉检测系统进行研究。该系统采用PLC实时读取编码器上的脉冲信号,触发工业面阵相机对中空滤棒的端面进行图像采集;再利用图像优化技术对滤棒端面图像进行处理,保证图像质量;采用最小二乘法对滤棒端面的轮廓点进行圆弧拟合,实现中空滤棒端面的尺寸、圆度检测;通过模板匹配差分的方法,检测中空滤棒端面是否存在缺陷,并在人机界面上进行报警显示。以中空滤棒为对象在鼓轮上进行测试,结果表明,该系统能够实时地将中空滤棒端面的尺寸、圆度、缺陷检测出来,在不同速度下检测精度均能达到99%。该系统能够实时地对中空滤棒进行端面检测,提升了滤棒生产的智能化水平。
In order to solve the problem of low accuracy and great lag in the inspection of hollow filter bar end face,a vision inspection system for hollow filter bar end face was studied based on machine vision technology.Using PLC to read the pulse signal on the encoder in real time,the industrial array camera was triggered to collect the image of the end face of the hollow filter bar.Image optimization technology was used to process the image of the filter bar end face to ensure the image quality.The dimension and roundness of the end face of the hollow filter rod were measured by using the least square method.Through the method of template matching difference,whether there are defects in the end face of the hollow filter rod is detected,and the alarm is displayed on the man-machine interface.The test results show that the system can detect the dimensions,roundness and defects of the end face of the hollow filter rod in real time,and the detection accuracy can reach 99%at different speeds,which lays the foundation for automatic visual inspection of the filter rod and improves the qualified rate of the product.
作者
李耀光
王治伟
LI Yaoguang;WANG Zhiwei(Xuchang Tobacco Machinery Co.Ltd.,Xuchang 461000,Henan,China)
出处
《科技和产业》
2025年第12期30-35,共6页
Science Technology and Industry
关键词
中空滤棒
机器视觉
图像优化
端面检测
hollow filter rod
machine vision
image optimization
end face detection
