基于数字孪生技术的工业机器人状态监测方法  

State monitoring method of industrial robots based on digital twin technology

作　　者：田习文 TIAN Xiwen(Xiangyang Polytechnic,Xiangyang 441000,China)

机构地区：[1]襄阳职业技术学院,湖北襄阳441000

出　　处：《中国高新科技》2024年第3期23-25,共3页

摘　　要：由于传统工业机器人状态监测方法存在状态监测精度较低的问题,因此,文章提出了基于数字孪生技术的工业机器人状态监测方法。对工业机器人进行数据采集,构建工业机器人动力学模型,通过可视化映射工业机器人与工作平台的状态数据,从而实现对工业机器人状态的实时监测。由实验结果可知,该方法可以精确地进行工业机器人状态监测。Due to the problem of low state monitoring accuracy,this paper proposes the industrial robot state monitoring method based on digital twin technology.This method first models the geometric model of industrial robots in 3 D,and then collects the data of industrial robots by using the monitoring method of industrial robots.Try mapping the status data of the working platform of industrial robots through the monitoring system,so as to realize the real-time monitoring of the status of industrial robots.The experimental results:this method can accurately monitor the state of industrial robots.

关 键 词：数字孪生 工业机器人 状态监测 数据采集 可视化映射 

分 类 号：TH450[机械工程—机械制造及自动化]