基于机器视觉的继电器轭铁高精度测量方法

针对1/2晶体罩继电器电磁系统中轭铁零部件尺寸难以测量的问题,设计了一种基于虚拟仪器与机器视觉技术相结合的轭铁尺寸高精度自动检测系统以解决传统人工检测精度低的不足。该系统采用Lab VIEW平台开发了基于消息队列的图像采集系统以实现轭铁图像自动采集;此外,针对轭铁采用中值滤波、二值化等图像预处理技术过滤图像噪声和干扰,然后利用Hough变换进行轭铁轮廓特征提取,结合最小二乘算法进行轭铁尺寸高精度测量。最后,利用设计的系统对轭铁进行测量,测量结果显示轭铁尺寸误差在0. 000 1～0. 004 5 mm之间、可重复测量精度高,验证了系统的有效性。

High Precision Measurement Method of Relay Yoke Iron Based on Machine Vision

In order to solve the problem that the size of yoke iron is difficult to measure in the electromagnetic system of the 1 /2 crystal cover relay, a high-precision automatic detection system of yoke iron size based on the combination of virtual instrument and machine vision technology is designed to solve the problem of low accuracy of traditional manual detection. In the system, an image acquisition system based on message queue to realize the automatic acquisition of yoke iron images is developed by LabVIEW platform. In addition, image preprocessing techniques such as median filtering and binarization are used to filter image noise and interference, and then, Hough transform is used to extract yoke iron contour features, and the least square algorithm is used to measure yoke iron size with high accuracy. Finally, the designed system is used to measure the yoke iron size. The measurement results showed that the yoke iron size error is between 0.0001 mm and 0.0045 mm, and the repeatable measurement accuracy is high, which verified the effectiveness of the system.