基于机器视觉的无梭织机断经智能识别装置研发

Research and Development of Intelligent Recognition Device for Shuttless Loom Breaking Based on Machine Vision

断经是机织物面料最常见疵点之一,也是判定面料品质的重要指标。为了避免断经疵点出现,纺织企业通常采取停经片或人工巡台措施来应对,但这两种方法不仅增加了生产工艺流程和人工成本,还会增加经纱与停经片磨损以及漏巡问题。本文利用机器视觉精确在线采集图像信息,模拟挡车工巡台检查,利用视觉算法对图像信息进行处理分析,从而识别断经,并触发断经信号停机。同时,为降低成本,一台自动断经识别装置控制多台设备,实现多台联动控制,降低企业智能化改造成本。该智能装置实现机器代替人的劳动,推动纺织织造行业智能化水平提升。

Warp breaking is one of the most common defects in woven fabric and is also an important index to judge fabric quality.In order to avoid breakage,textile enterprises take stoppage or manual inspection measures.These two methods not only increasethe production process and labor costs,but also increase the wear and leakage of warp and stoppage.In this paper,the machine vision is used to accurately collect image information,simulate the car stopper inspection,and use the algorithm to process and analyze the image information,so as to identify the broken warp,and trigger the broken signal to stop.At the same time,in order to reduce the cost,an automatic identification device to control multiple devices,to achieve multiple linkage control,reduce the cost of intelligent transformation of enterprises.The intelligent device can replace human labor by machine and promote the textileintellectualization level of weaving industry.