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基于机器视觉引导的电容高精度装配系统研究

Research on High Precision Capacitor Assembly System Based on Machine Vision Guidance

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针对电容装配系统中多数量、不同位置排布下电阻容器的装配存在定位精度低、装配效率低等问题,提出了一种基于机器视觉引导的电容高精度装配系统.首先,运用十二点标定法确定坐标系间的转换关系;其次,提出基于blob分析的改进定位算法确定电阻容器的中心位置;最后,引入偏移量补偿,引导机器人完成每个对应位置的装配.实验结果表明,所提出的装配系统的平均装配误差为0.05 mm,且装配准确率达到99.8%,实际装配误差要求不超过0.1 mm,因此满足实际生产需求,有效提高了生产装配效率.
Aiming at the problems of low positioning accuracy and low assembly efficiency in capacitance assembly system with multiple quantities and different position arrangements,this paper proposed a high precision capacitance assembly system based on machine vision guidance.Firstly,the twelve-point calibra-tion method is used to determine the conversion relationship between coordinate systems.Secondly,an im-proved location algorithm based on blob analysis is proposed to determine the center location of the resist-ance vessel.Finally,offset compensation is introduced to guide the robot to complete the assembly of each corresponding position.The experimental results show that the average assembly error of the assembly sys-tem proposed in this paper is 0.05 mm,and the assembly accuracy reaches 99.8%.The actual assembly er-ror requirement is less than 0.1 mm,which meets the actual production demand and effectively improves the production and assembly efficiency.

machine visioncapacitor assemblyblob analysisvisual positioning

施航杰

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浙江理工大学浙江省机电产品可靠性技术研究重点实验室,杭州 310018

机器视觉 电容装配 blob分析 视觉定位

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(5)
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