手机官网

微信客服

Copyright©山东红宝自动化有限公司 版权所有     网站地图XML      鲁ICP备16022612号-1       

关注我们

服务热线:

0531-8815 6666、8915 8888

红宝

3D机器视觉与焊接机器人的完美结合,推动了自动化焊接的进步!

浏览量

  从焊接行业的状况看来,以手工制作焊接为主导,由于焊接质量千差万别,往往会产生焊瘤、夹渣、咬边、焊缝错边量大、焊缝钝边等问题,各种原因造成的焊缝质量偏差,给自动化焊接造成了极大困难。要想突破这些难点就需要结合3D机器视觉以及时实力控系统等多维度综合来提升自动化焊接的效果。

  According to the situation of the welding industry, manual welding is the dominant factor. Due to the wide variety of welding quality, problems such as weld overlap, slag inclusion, undercut, large amount of weld misalignment, and weld blunt edge often occur. The weld quality deviation caused by various reasons causes great difficulties for automatic welding. To break through these difficulties, it is necessary to combine 3D machine vision and time-based power control system to improve the effect of automatic welding.

焊接机器人

  用机器视觉运用于焊接行业,可以达到以下效果:

  Using machine vision in the welding industry can achieve the following effects:

  1.更极致的数字图像处理

  More extreme digital image processing

  在检测标准中,细工生产技术是焊线技术性所必不可少的。合理的图象处理系统软件是优秀焊接线机的核心部件。为了更好地给予较高品质的溶接痕状况和加工工艺安全性,务必将对精密度和速率的大量规定交到机器视觉系统。机器视觉系统具备优异的使用方式、可靠性和视觉效果优化算法的高精密,高精度达清晰度块,但可以可靠地解决非常短的周期。

  In the testing standard, the fine production technology is essential for the welding line technology. Reasonable image processing system software is the core component of excellent welding line machine. In order to better give high-quality weld seam conditions and process safety, it is necessary to hand over a large number of regulations on precision and speed to the machine vision system. The machine vision system has excellent use mode, reliability and high precision of visual effect optimization algorithm. The high precision can reach the definition block, but it can reliably solve the very short cycle.

  2.十分准确的目标部位

  Very accurate target location

  即使在十分艰难的情形下,机器视觉系统也可以得到十分准确的目标部位。这类面对图形的视觉软件在运用的技术性和方式上比别的商品好很多。应用这类机器视觉优化算法,低饱和度的特点(如轮廊)也可以迅速鉴别,精确度尤其高。不用解决彻底制作的图象的线形剖析。那样可以简单化特点鉴别,加速视觉检测系统的速率,提升延展性和可靠性。

  Even in very difficult situations, the machine vision system can get very accurate target parts. This kind of visual software facing graphics is much better than other products in terms of technology and mode. Using this kind of machine vision optimization algorithm, the characteristics of low saturation (such as the contour) can also be identified quickly, with high accuracy. It is not necessary to solve the linear analysis of the thoroughly produced image. In this way, the feature identification can be simplified, the speed of the visual inspection system can be accelerated, and the ductility and reliability can be improved.

  3.愈来愈普遍的检查运用

  Increasingly common use of inspection

  机器视觉系统应用于焊缝检测,可以检验钎焊的正部位、空隙。焊接球的规格、锡球的色度;面颊涨缩、表层脏东西(塑胶丝等)等欠佳和焊接追踪、双丝焊接图象收集等都适用。

  Machine vision system is applied to weld inspection, which can inspect the positive position and gap of brazing. Specification of solder balls and chromaticity of solder balls; Cheek expansion and contraction, poor surface dirt (plastic wire, etc.) and welding tracking, double wire welding image collection, etc. are applicable.

  机器视觉检测系统具备较大的开发潜力,与焊接机器人的有效结合,求实创新,达到高品质、效率高、性价比高、安全系数的焊接行业的规定。

  The machine vision inspection system has great development potential. It can be effectively combined with the welding robot to achieve the requirements of the welding industry with high quality, high efficiency, high cost performance and safety factor.