涤纶工业长丝毛丝在线检测系统的研究

涤纶工业长丝毛丝在线检验工序一直制约着生产全流程智能制造的实现,为解决涤纶工业长丝毛丝检测问题,完善在线质量检测体系,提出一种借助机器视觉智能检测技术识别毛丝和数量统计的方法.以毛丝长度作为判断依据,基于LabVIEW图像处理技术,采用图像增强、二值化处理、数学形态学等方法获取毛丝图像,并提取长度信息.通过试验得到毛丝...

Research on on-line detection system of broken filaments in industrial polyester filament

The on-line detection process of polyester filaments hinders intelligent manufacturing in the whole production process. In order to solve the problem in inspecting polyester broken filament yarns and to improve the on-line quality detection system, a method of identifying broken filament yarns and counting the number by means of machine vision intelligent detection technology is proposed. Based on LabVIEW image processing technology,the yarn length is taken as the judgment basis. Image enhancement,binarization,digital morphology and other methods are used to obtain the filament image and to extract the length information. Through experiments, the detection threshold of filament length is obtained. When the filament length in the image exceeds the detection threshold,the existence of the filament will be recognized,and the number of such filaments can be accumulated. The experimental results show that the accuracy of the detection scheme is over 90%,the design is reasonable,the cost is low,and it has great practical value for improving polyester filament quality and reducing enterprise cost.