基于LabVIEW的塑料齿轮缺齿检测系统设计
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摘要
针对塑料齿轮在生产过程中存在缺陷,而人工检测效率与准确性低。为了满足检测要求,设计基于LabVIEW的塑料齿轮缺齿检测系统。首先进行图像采集及预处理,预处理包括彩色图像灰度化、中值滤波、阈值化、Canny边缘检测等;然后通过几何匹配算法提取齿轮的几何信息,学习并保存模板信息,再调用模板进行匹配计算得到结果。分数和模板目标曲线分数是判断齿轮缺陷的主要依据参数,选用不同缺齿程度的塑料齿轮进行实验发现,缺齿程度越大,对应的匹配分数越低。实验结果表明,该系统可以实现齿轮缺齿检测的功能,为缺陷检测提供新的思路。
In allusion to the problems that there exist defects in the process of plastic gear production,and the manual detection is in low efficiency and accuracy,and to meet detection requirements,a tooth missing detection system for plastic gears based on Lab VIEW is designed in this paper. Image acquisition and preprocessing are carried out,with the former including color-image grayscale,median filtering,thresholding,Canny edge detection,and others. The geometry information of gears is extracted by means of the geometrical matching algorithm. The template information is acquired and saved,and then the template is called for matching calculation to obtain results. Fraction and template objective curve fraction are the main parameters for judging gear defects. Plastic gears in different tooth missing degrees were selected to do the experiment. It was found that the greater the degree of tooth missing,the lower the matching score. The experimental results demonstrate that this system can realize the function of tooth missing detection for gears,and provide a new idea for defect detection.
In allusion to the problems that there exist defects in the process of plastic gear production,and the manual detection is in low efficiency and accuracy,and to meet detection requirements,a tooth missing detection system for plastic gears based on Lab VIEW is designed in this paper. Image acquisition and preprocessing are carried out,with the former including color-image grayscale,median filtering,thresholding,Canny edge detection,and others. The geometry information of gears is extracted by means of the geometrical matching algorithm. The template information is acquired and saved,and then the template is called for matching calculation to obtain results. Fraction and template objective curve fraction are the main parameters for judging gear defects. Plastic gears in different tooth missing degrees were selected to do the experiment. It was found that the greater the degree of tooth missing,the lower the matching score. The experimental results demonstrate that this system can realize the function of tooth missing detection for gears,and provide a new idea for defect detection.
引文
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[9]张鹏飞.基于Lab VIEW的PCB电路缺陷检测系统的研究与实现[D].长春:长春理工大学,2013.ZHANG Pengfei.Research and implementation of Lab VIEW based PCB circuit defect detection system[D].Changchun:Changchun University of Science and Technology,2013.
[10]李红丽,彭文华.基于Lab VIEW与ARM微控制器的智能家居控制系统[J].物联网技术,2015,5(9):80-81.LI Hongli,PENG Wenhua.Smart home control system based on Lab VIEW and ARM microcontroller[J].Internet of Things technologies,2015,5(9):80-81.
[2]张振祥,陈永清,古洪杰.基于Lab VIEW的齿轮齿形缺陷检测[J].测控技术,2010,29(5):32-35.ZHANG Zhenxiang,CHEN Yongqing,GU Hongjie.Gear defect detection based on Lab VIEW[J].Measurement&control technology,2010,29(5):32-35.
[3]陈晓玉,谢路生,陈文芗,等.基于Lab VIEW的工件外径测量与颜色识别软件系统设计[J].实验室研究与探索,2017,36(4):114-118.CHEN Xiaoyu,XIE Lusheng,CHEN Wenxiang,et al.Workpiece diameter measurement and design of color recognition system based on Lab VIEW[J].Research and exploration in laboratory,2017,36(4):114-118.
[4]施保华,魏雅慧.一种基于机器视觉的螺纹缺陷检测方法[J].三峡大学学报(自然科学版),2015,37(2):64-66.SHI Baohua,WEI Yahui.A method of detecting thread defects based on machine vision[J].Journal of China Three Gorges University(Natural sciences),2015,37(2):64-66.
[5]高世平,吴黎明,陈智翔,等.基于Lab VIEW的小模数齿轮在线测试方法研究[J].舰船电子工程,2013,33(7):126-128.GAO Shiping,WU Liming,CHEN Zhixiang,et al.Research of small modulus gear on-line testing method based on LabVIEW[J].Ship electronic engineering,2013,33(7):126-128.
[6]王业翔,戴曙光.基于Lab VIEW的VFD视觉检测技术研究[J].电子科技,2015,28(8):157-159.WANG Yexiang,DAI Shuguang.VFD visual detection technology research based on Lab VIEW[J].Electronic science and technology,2015,28(8):157-159.
[7]何贞志,陈於学,邵明辉,等.基于Lab VIEW的滚动轴承缺陷在线智能检测系统[J].仪表技术与传感器,2017(7):72-75.HE Zhenzhi,CHEN Yuxue,SHAO Minghui,et al.Lab VIEW based rolling bearing defect on-line intelligent detection system[J].Instrument technique and sensor,2017(7):72-75.
[8]李定珍,王萍.VFD显示图像缺陷检测技术研究[J].液晶与显示,2013,28(1):138-145.LI Dingzhen,WANG Ping.VFD display image defect detection technology research[J].Chinese journal of liquid crystals and displays,2013,28(1):138-145.
[9]张鹏飞.基于Lab VIEW的PCB电路缺陷检测系统的研究与实现[D].长春:长春理工大学,2013.ZHANG Pengfei.Research and implementation of Lab VIEW based PCB circuit defect detection system[D].Changchun:Changchun University of Science and Technology,2013.
[10]李红丽,彭文华.基于Lab VIEW与ARM微控制器的智能家居控制系统[J].物联网技术,2015,5(9):80-81.LI Hongli,PENG Wenhua.Smart home control system based on Lab VIEW and ARM microcontroller[J].Internet of Things technologies,2015,5(9):80-81.