基于嵌入式系统的纱线张力非接触实时检测  

Non-contact detection of yarn tension based on embedded system

作　　者：韩震 纪越 马杰东 潘东 陈浩[1,2] HAN Zhen;JI Yue;MA Jiedong;PAN Dong;CHEN Hao(School of Control Science and Engineering,Tiangong University,Tianjin 300387,China;Tianjin Key Laboratory of Intelligent Control of Electrical Equipment,Tiangong University,Tianjin 300387,China)

机构地区：[1]天津工业大学控制科学与工程学院,天津300387 [2]天津工业大学天津市电气装备智能控制重点实验室,天津300387

出　　处：《毛纺科技》2024年第5期72-79,共8页Wool Textile Journal

摘　　要：为了提高纱线张力检测的精度,避免接触式测量带来的接触误差,提出了基于机器视觉与嵌入式系统结合的纱线张力非接触实时检测方法。首先,为了同时保证实时系统中图像处理算法的运行速度与纱线张力的检测精度,提出了一种基于阈值分割的快速特征提取算法,同时实现图像降维与边缘特征提取,在实时提取运动纱线波形的同时减小了外界环境对纱线图像的干扰;其次,搭建了由高速线阵相机与FPGA高速转存系统组成的图像采集系统和由主芯片为TMS320C6678的图像处理器组成的检测系统,通过实时采集运动纱线的图像,从单位周期内的纱线振动波形中提取纱线振动频率,利用弦振动模型推算纱线的实时张力。实验结果表明,基于嵌入式机器视觉的非接触式纱线检测系统的检测值与电阻式传感器的最大检测误差均值在1.5%之内,满足实时系统的控制需求。In order to improve the accuracy of yarn tension detection and avoid the contact error caused by contact measurement,a non-contact real-time yarn tension detection method based on machine vision and embedded system was proposed.Firstly,in order to ensure both the speed of image processing algorithm and the accuracy of yarn tension detection in real-time system,a fast feature extraction algorithm based on threshold segmentation was proposed.The image dimension reduction and edge feature extraction were realized at the same time,which can extract the moving yarn waveform in real time and reduce the interference of the external environment on the yarn image.Secondly,an image acquisition system composed of high-speed linear array camera and FPGA high-speed storage system and a detection system composed of image processor with TMS320C6678 as the main chip were built.Through real-time acquisition of images of moving yarns,yarn vibration frequency was extracted from yarn vibration waveform in unit period,and real-time tension of yarns was calculated by using string vibration model.The experimental results show that the error between the detection value of the non-contact yarn detection system based on embedded machine vision and the resistance sensor was about 1.5%,which meets the control requirements of the real-time system.

关 键 词：嵌入式 非接触检测 纱线张力 图像识别 弦振动 

分 类 号：TS103.7[轻工技术与工程—纺织工程]