机械式打结机纱线捕获状态检测方法  

Detection methods for yarn capture state with automatic knotter

作　　者：屠佳佳 李长征 戴宁 孙磊[1] 毛慧敏 史伟民 TU Jiajia;LI Changzheng;DAI Ning;SUN Lei;MAO Huimin;SHI Weimin(Key Laboratory of Modern Textile Machinery&Technology of Zhejiang Province,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China;School of Automation,Zhejiang Institute of Mechanical and Electrical Engineering,Hangzhou,Zhejiang 310053,China;College of Textile Science and Engineering(International Institute of Silk),Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China)

机构地区：[1]浙江理工大学浙江省现代纺织装备技术重点实验室,浙江杭州310018 [2]浙江机电职业技术学院自动化学院,浙江杭州310053 [3]浙江理工大学纺织科学与工程学院(国际丝绸学院),浙江杭州310018

出　　处：《纺织学报》2023年第5期205-212,共8页Journal of Textile Research

基　　金：国家重点研发计划项目(2017YFB1304000);浙江省博士后科研项目择优资助一等资助项目(ZJ2021038);浙江理工大学科研启动基金项目(11150131722114)。

摘　　要：为解决机械式打结机在纱架上完成纱线接头时无法检测头线、尾线捕获状态的问题,提出一种基于图像像素点测量的检测方法。该方法结合机械式打结机工作原理,将集安装盒、相机模组和光源于一体的纱线检测识别系统,固定在风机和吸嘴之间的透明吸管上,然后通过小型嵌入式模块采集图像、处理图像、统计像素点、输出信号等流程实现低成本的纱线捕获状态检测。同时顶部安装相机模组,左右两侧安装光源,底部设计纱线通道,内部底板设计为左右均分的黑白背景,结构小巧、图像采集环境稳定。系统搭建后,对白色等8种纱线进行了捕获状态测试。结果表明:该方法检测效果好、识别率高,实现了模块化纱线捕获状态检测,不仅准确度高、成本低,而且安装方便,可实现生产推广应用。Objective With the continuous advancement of intelligent manufacturing process in knitting department,automatic bobbin changing and thread continuation of yarn frame are technical difficulties to be solved urgently.Aiming at the problem that it is impossible to detect the capture state of head yarn and tail yarn when using mechanical knotter to complete yarn joint on yarn frame,which leads to the inability to realize intelligent manufacturing in the knitting workshop,this paper proposes a detection method based on image pixel point measurement.Method Based on the working principle of mechanical knotting machine,a yarn detection and recognition mechanism which integrates the installation box,camera module and light source was proposed.The mechanism was fixed on the transparent tube between the fan and the suction nozzle.Through the small embedded module,images were collected and processed including pixel counting and signals output in real time.The developed technique facilitated the low-cost yarn capture state detection on the yarn frame.Results After the knotter moves to the position near the end line,the image without yarn is collected,and the initial number of white pixels is obtained after processing.200 Groups of data are randomly selected to obtain the curve(Fig.9).The abscissa is the number of tests,and the ordinate is the number of pixels.The initial value of the number of white pixels varies between 24592 and 24651,and the maximum variation is only 59.After getting the initial value of the number of pixels,the system controls to clear it to get the corresponding number of pixels when there is no yarn.Theoretically,the number of pixels after clearing is 0.However,due to a small amount of light leakage in the installation box and the high sensitivity of pixel measurement,there is still a numerical fluctuation.Therefore,200 groups of data are randomly selected to obtain the curve(Fig.10).The number of pixels without yarn after zeroing varies from 0 to 55.Then the head line and tail line absorption experimen

关 键 词：机械式打结机 纱线检测系统 图像像素点测量 相机模组 嵌入式模块 圆纬机 

分 类 号：TP103.7[自动化与计算机技术—控制理论与控制工程]