在钢板轧制的过程中,对钢板表面瑕疵检测是一种简单重复性的、速度较快的、精力高度集中的工作,这样就给检测人员带来很大的压力,而且在检测人员目视检测过程中,必须降低钢板移动速度,相应的钢板轧制速度跟着降低,生产效率必然下降,同时,检测人员不可避免地受到疲劳、心情、感觉和技术水平的客观影响,很难做到精确和定量,另外,瑕疵的记忆存储分析比较也很困难。
In the process of steel rolling, the steel plate surface defect detection is a simple, repetitive, fast, highly focused, so it brings great pressure to the inspection staff and personnel in the detection of visual inspection process, must reduce the plate moving speed, plate rolling speed corresponding with the lower. The production efficiency will decline, at the same time, the objective effect of testing personnel inevitably suffer from fatigue, mood, feeling and technical level, it is hard to achieve accurate and quantitative analysis of defects, in addition, memory is also very difficult.
为了降低检测人员在检测过程中的劳动强度,提高生产效率,很多厂家引入了机器视觉检测系统。该系统在生产线上轧机与下一道工序之间安装一个暗箱,钢板被轧制后首先要经过这个暗箱,在暗箱中安装摄像机和光源实时采集钢板表面图像,并传送到PC机上,PC机通过图像处理的各种算法把采集到的图像进行快速准确的识别,从而完成在轧制过程中钢板表面是否存在瑕疵的检测,并以标识的形式给出瑕疵的位置,并给出报警信号。
In order to reduce the labor intensity and improve the production efficiency, many manufacturers introduce the machine vision inspection system. The system is installed in a black box between mill production line and the next step, the plate was the first to go through the black box after rolling, cameras and light collecting plate surface image in a black box, and sent to the PC machine, PC machine through a variety of image processing algorithms to image recognition quickly and accurately thus, in the rolling process of steel plate surface defect detection and whether, given by the position of the defect identification, and gives the alarm signal.
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