现代电子技术2025，Vol.48Issue(23)：162-166,5.DOI:10.16652/j.issn.1004-373x.2025.23.024
基于数字孪生的机械设备运行异常数据识别方法
Method for identifying abnormal data of mechanical equipment operation based on digital twins
摘要
Abstract
Traditional methods are time-consuming and inefficient in the process of identifying abnormal data,so this paper studies a method of identifying abnormal data of mechanical equipment operation based on digital twins,aiming at building an efficient and intelligent abnormal identification system and providing solid technical support for the safe operation and maintenance and intelligent management of mechanical equipment.In this method,the AutoCAD is used to establish a three-dimensional model of mechanical equipment,and a digital twin mimetic model composed of geometric,behavioral,and physical process information is utilized to perform virtual-real mapping processing on the three-dimensional model of mechanical equipment,obtaining a digital twin model of mechanical equipment.The model runs synchronously with the physical entity to obtain real-time operation data of the physical entity mechanical equipment,and the data is input into the adversarial dual encoder network.The recognition result of abnormal operation data of the mechanical equipment is output by the iteration of the adversarial dual encoder.The experimental results show that the proposed method has strong capabilities in constructing digital twin models of mechanical equipment and virtual-real mapping.It can effectively obtain temperature data during the operation of mechanical equipment,and identify abnormal data of mechanical equipment operation with high KL scattering values,so the identification results are accurate.关键词
数字孪生/机械设备/异常数据识别/KL散度/编码器/AutoCAD/虚实映射/解码器Key words
digital twin/mechanical equipment/abnormal data identification/KL divergence/encoder/AutoCAD/virtual-real mapping/decoder分类
电子信息工程引用本文复制引用
赵鹤..基于数字孪生的机械设备运行异常数据识别方法[J].现代电子技术,2025,48(23):162-166,5.基金项目
广西重点研发计划(桂科AB23075096) （桂科AB23075096）
