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Design and Realization of Valve Core Micro-Displacement Detection System Based on Machine Vision for Solenoid Valve

机译:基于机器视觉的电磁阀气门芯微位移检测系统的设计与实现

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I289 order to detect whether the micro-displacement of the valve core after the car solenoid valve is pressurized conforms to the industry standard, the following micro-displacement detection system is designed. PC and micro camera are used to build the detection system, and the real-time detection of the micro displacement of the target car solenoid valve is carried out. The displacement detection method based on image displacement is adopted to keep the calibration process consistent with the imaging equipment in the process of real valve core distance measurement. The calibration coefficient is obtained by using the feature line detection method;applying different voltages, the valve core of the electromagnetic valve will move the position of different situations, using feature matching method to extract the edge of the spool displacement surface information, the contour extraction and target detection feature line, calculate the displacement in the image; then combined with the displacement calibration coefficient to the actual valve, finally calculated the micro displacement of valve core. In this paper, the design of micro-displacement detection platform based on machine vision technology is realized, the denoising method and the distance measurement algorithm which are suitable for the acquisition of microscopic images are selected. The obtained system measurement accuracy is 4.3667um / pixel, far less than valve core displacement limit value 3mm. So the detection system is effective.
机译:I289为了检测汽车电磁阀加压后阀芯的微位移是否符合行业标准,设计了以下微位移检测系统。使用PC和微型摄像机构建检测系统,并实时检测目标汽车电磁阀的微位移。在实际气门芯距离测量过程中,采用基于图像位移的位移检测方法,使校准过程与成像设备保持一致。使用特征线检测方法获得标定系数;施加不同的电压,电磁阀的阀芯将移动不同情况的位置,使用特征匹配方法提取阀芯位移表面信息的边缘,轮廓提取和目标检测特征线,计算图像中的位移;然后结合排量校准系数到实际阀门,最后计算出阀芯的微排量。本文实现了基于机器视觉技术的微位移检测平台的设计,选择了适合显微图像采集的去噪方法和测距算法。所获得的系统测量精度为4.3667um /像素,远远小于阀芯位移极限值3mm。因此检测系统是有效的。

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