基于机器视觉的齿轮质量在线检测系统
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摘要
针对当前齿轮缺陷检测过程中存在的问题,提出了一种基于机器视觉的齿轮在线检测系统设计方案,实现了图像采集与显示、图像分析及运行控制等功能。该系统通过单片机控制模块负责上料设备和传送带运行,并利用光电开关触发高速摄像机实时采集齿轮图像;然后,工控机对采集的图像进行处理,得到齿轮的外观质量信息;最后,工控机将测量的NG和OK信号传送到单片机,驱动外部设备实现齿轮分拣和声光报警。实验表明,该方法具有较高的测量精度和测量效率,能够满足实际生产的需要,为齿轮在线测量提供了新的途径。
In view of the problems existing in the defects detection for gear,a design scheme of the online detection system is proposed based on machine vision,and the functions such as image acquisition and display,image analysis and operation control are realized. The system controls the feeding equipment and the conveyor belt through the MCU control module,and using the photoelectric switch to trigger the high-speed camera to collect the image of the gear in real time. Then,by the industrial control machine preprocesses,the appearance quality information of the gear is obtained. Finally,the outputted signals of NG and OK are transmitted to the single chip computer to realize the sound-light alarm and sorting. Experiments show that the method has high accuracy and efficiency,and can meet the needs of actual production. It provides a new way for on-line measurement of gear.
In view of the problems existing in the defects detection for gear,a design scheme of the online detection system is proposed based on machine vision,and the functions such as image acquisition and display,image analysis and operation control are realized. The system controls the feeding equipment and the conveyor belt through the MCU control module,and using the photoelectric switch to trigger the high-speed camera to collect the image of the gear in real time. Then,by the industrial control machine preprocesses,the appearance quality information of the gear is obtained. Finally,the outputted signals of NG and OK are transmitted to the single chip computer to realize the sound-light alarm and sorting. Experiments show that the method has high accuracy and efficiency,and can meet the needs of actual production. It provides a new way for on-line measurement of gear.
引文
[1]王江萍,段腾飞.基于特征融合和稀疏表示的齿轮故障诊断[J].机械传动,2017,41(1):54-58.
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[5]张少军,苟中魁,李庆利,等.利用数字图像处理技术测量直齿圆柱齿轮几何尺寸[J].光学精密工程,2004,12(6):621-623.
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[9]张凌宁,苗长云,李现国.基于机器视觉的输送带图像校正和故障检测算法研究[J].仪表技术与传感器,2016(6):81-83.
[10]李宏,潘丰.基于视觉的发动机胶线及齿轮对位检测系统[J].仪表技术与传感器,2017(12):57-62.
[11]卓福海.工业齿轮箱中调心滚子轴承应用特点分析[J].机械传动,2016,40(10):162-165.
[12]王文成.基于Halcon的齿轮缺陷检测系统设计[J].机械传动,2014,38(9):60-63.
[13]赵军,叶婷,郭天太,等.大直齿圆柱齿轮几何中心确定方法及齿廓偏差计算[J].机械传动,2016,40(7):176-179.
[14]王文成,常发亮.温室大棚温湿度无线测控系统[J].仪表技术与传感器,2011(3):98-100.
[2]洪海涛,赵辉.图像技术用于零件尺寸测量的研究[J].仪器仪表学报,2001,22(3):213-218.
[3]王文成.基于机器视觉的齿轮参数测量系统设计[J].机械传动,2011,35(2):41-43.
[4]朱维斌,刘明佩,叶树亮.基于邻域特性分析的小模数齿轮亚像素图像边缘检测[J].仪器仪表学报,2018,39(3):148-156.
[5]张少军,苟中魁,李庆利,等.利用数字图像处理技术测量直齿圆柱齿轮几何尺寸[J].光学精密工程,2004,12(6):621-623.
[6]杨亚,陶红艳,余成波.SURF与灰度差分在小模数塑料齿轮缺陷检测中的研究与应用[J].机械传动,2018,42(5):156-160.
[7]倪振松,邢济收.计算机视觉技术在齿轮测量中的应用研究[J].微计算机信息,2007,23(3):123-125.
[8]刘兆妮,雷振山,蒙丽,等.应用机器视觉技术的齿轮测量方法[J].工具技术,2004(38):133-135.
[9]张凌宁,苗长云,李现国.基于机器视觉的输送带图像校正和故障检测算法研究[J].仪表技术与传感器,2016(6):81-83.
[10]李宏,潘丰.基于视觉的发动机胶线及齿轮对位检测系统[J].仪表技术与传感器,2017(12):57-62.
[11]卓福海.工业齿轮箱中调心滚子轴承应用特点分析[J].机械传动,2016,40(10):162-165.
[12]王文成.基于Halcon的齿轮缺陷检测系统设计[J].机械传动,2014,38(9):60-63.
[13]赵军,叶婷,郭天太,等.大直齿圆柱齿轮几何中心确定方法及齿廓偏差计算[J].机械传动,2016,40(7):176-179.
[14]王文成,常发亮.温室大棚温湿度无线测控系统[J].仪表技术与传感器,2011(3):98-100.