针对磁悬浮针织设备织针运行速度快、故障难检测的特点,提出了一种基于数字孪生的磁悬浮织针监控系统架构,旨在实时监测磁悬浮针织设备,特别是织针的运行状态.该系统架构采样数字孪生五维模型为基础,对磁悬浮针织设备在该模型中的构成要素进行了深入分析.进而,详细阐述了在此监控架构中虚拟实体的开发、孪生数据的采集以及织针故障诊断等关键技术.最后,依托所提架构,针对一种新型管式磁悬浮针织圆纬机设备开发一套在线监控系统,并通过实际应用验证了所提架构的有效性.
In response to the high operational speeds and the difficulty of fault detection in magnetic levitation knitting machinery,a monitoring system architecture for magnetic levitation knitting needles based on digital twin technology is proposed.This system is designed for the real-time monitoring of magnetic levitation knit-ting equipment,with a particular focus on the operational status of the knitting needles.The architecture is grounded in the five-dimensional model of digital twins,with a comprehensive analysis of the components of magnetic levitation knitting equipment within this model.Additionally,the paper delves into the development of the virtual entities,the collection of twin data,and the key technologies for diagnosing needle faults within this monitoring framework.Finally,leveraging the proposed architecture,an online monitoring system was devel-oped for a novel tubular magnetic levitation circular weft knitting machine,and its effectiveness was substantiat-ed through practical application.