基于数字孪生模型的数控铣床状态监测系统

Condition monitoring system for CNC milling machines based on the digital twin model

设计了一种基于数字孪生技术的数控铣床状态监测和分析系统。该系统由物理信息采集系统和基于数字孪生的实时监测软件两部分组成。物理信息采集系统通过传感器和网络化数控系统技术,对数控铣床运行状态数据进行实时监测和采集。应用数字孪生技术将物理世界的状态反映到数字化的虚拟机床模型中,从而对机床运行状态进行在线监测。实验表明,该系统能够采集数控铣床运行过程的多种物理信息数据,实时更新数字化虚拟机床模型的状态,为加工优化、故障诊断、预测性维护等提供了支撑。

A condition monitoring and analyzing system for milling machines based on the digital twin technology has been designed.The system includes two parts:the physical information acquisition system and the real-time monitoring software based on the digital twin.The physical information acquisition system employs sensors and network CNC technologies to monitor and collect the data of the operating condition of the CNC milling machine.The status in the physical world is reflected in the digitized virtual machine model,therefore it can achieve online monitoring for the operating condition of the machine tool.The experiment shows that the proposed system can collect various types of physical data in the operation of the CNC milling machine,update the status of the digitized virtual machine model in real-time,which provides a support for the machining optimization,fault diagnosis and predictive maintenance.