3D機器視覺與焊接機器人的完美結合,推動了自動化焊接的進步！
發布時間：
2023-02-10 11:24
從焊接行業的狀況看來，以手工制作焊接為主導，由于焊接質量千差萬別，往往會產生焊瘤、夾渣、咬邊、焊縫錯邊量大、焊縫鈍邊等問題，各種原因造成的焊縫質量偏差，給自動化焊接造成了極大困難。要想突破這些難點就需要結合3D機器視覺以及時實力控系統等多維度綜合來提升自動化焊接的效果。
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.
用機器視覺運用于焊接行業，可以達到以下效果：
Using machine vision in the welding industry can achieve the following effects:
1.更極致的數字圖像處理
More extreme digital image processing
在檢測標準中，細工生產技術是焊線技術性所必不可少的。合理的圖象處理系統軟件是優秀焊接線機的核心部件。為了更好地給予較高品質的溶接痕狀況和加工工藝安全性，務必將對精密度和速率的大量規定交到機器視覺系統。機器視覺系統具備優異的使用方式、可靠性和視覺效果優化算法的高精密，高精度達清晰度塊，但可以可靠地解決非常短的周期。
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.
2.十分準確的目標部位
Very accurate target location
即使在十分艱難的情形下，機器視覺系統也可以得到十分準確的目標部位。這類面對圖形的視覺軟件在運用的技術性和方式上比別的商品好很多。應用這類機器視覺優化算法，低飽和度的特點(如輪廊)也可以迅速鑒別，精確度尤其高。不用解決徹底制作的圖象的線形剖析。那樣可以簡單化特點鑒別，加速視覺檢測系統的速率，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.愈來愈普遍的檢查運用
Increasingly common use of inspection
機器視覺系統應用于焊縫檢測，可以檢驗釬焊的正部位、空隙。焊接球的規格、錫球的色度;面頰漲縮、表層臟東西(塑膠絲等)等欠佳和焊接追蹤、雙絲焊接圖象收集等都適用。
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.
機器視覺檢測系統具備較大的開發潛力，與焊接機器人的有效結合，求實創新，達到高品質、效率高、性價比高、安全系數的焊接行業的規定。
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.
視覺檢測