基于机器视觉的装配系统将车轮安装到汽车上
技术
- 分析与建模 - 计算机视觉软件
适用行业
- 汽车
适用功能
- 离散制造
用例
- 计算机视觉
服务
- 系统集成
客户
IBG 自动化有限公司
关于客户
自动化解决方案提供商。
挑战
对于汽车制造商而言，使用手动组装方法将车轮安装到连续运行的汽车上的成本极高。这主要是因为需要几个装配工人来完成这项工作。
解决方案
两个六轴工业机器人——一个位于车身的每一侧——从它们的供应站收集车轮螺栓和轮辋，并将它们拧到汽车上。机器人与传送带同步，并在装配过程中跟随汽车的运动。每个机器人都附有带有偏振和红外滤光片的专用照明。 Matrox Iris GT 智能相机也安装在每个机器人上。智能相机定位轮辋的中心点，并在校准坐标中计算其位置 (x, y)、螺栓圆的旋转 (Rz) 以及到相机的距离 (z)。在将这些坐标提供给机器人之前，智能相机会检查其定位的轮辋设计是否与预期由 PLC 提供的轮辋匹配。最后一项测试可防止将错误的轮辋设计安装在车辆上。确定了 13 种不同的车轮组合——七种轮辋设计和四种类型的漆（白色、银色、无烟煤色和黑色）。整个自动化车轮组装过程的周期时间仅为 54 秒。
图像处理系统基于 Matrox Iris GT 智能相机。该应用程序是使用 Matrox Design Assistant 开发的，这是一个与相机捆绑在一起的集成开发环境 (IDE)。
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