An equipment-level digital twin method for industrial robots for machining

作     者：Hu, Bingtao Cheng, Dinghao Fu, Yun Song, Xiuju Bi, Yunbo Zhao, Qiangqiang Tan, Jianrong 

作者机构：Zhejiang Univ State Key Lab Fluid Power Components & Mechatron S Hangzhou Peoples R China XiziSpirit Aerosp Ind Zhejiang Ltd Hangzhou Peoples R China Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design &Rotor Bearing S Xian Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH》 (Int J Prod Res)

年 卷 期：2024年

核心收录：

学科分类：12[管理学] 120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0802[工学-机械工程] 

基　　金：National Key Research and Development Program of China National Key Research and Development Program of China National Natural Science Foundation of China, China Postdoctoral Science Foundation Key Research and Development Program of Zhejiang Province 

主　　题：Industrialisation industrial equipment industrial digital twin data interaction lightweight low cost 

摘      要：The machining and assembly processes of high-end industrial equipment require high precision and efficiency. Digital twin (DT) can enable real-time simulation and monitoring, allowing for the timely prediction and adjustment of operations to enhance production efficiency and quality. Current research shows that the synchronisation of data and models in DT has not been elaborated in detail. This study proposes a low-cost equipment-level lightweight industrial DT system, elucidating the spatial coordinate establishment and conversion mechanisms in synchronisation between physical entities and virtual models. A detailed data and model interaction method compatible with multi-version modelling and data processing software is proposed, which realises the lightweight of virtual models, reduces the cost of DT, and improves the synchronisation speed. Taking the assembly surface grinding process of the auxiliary power unit (APU) hatch as an example, the practicality of the proposed method is verified, and the effectiveness of the proposed method is validated through point cloud scanning technology. The results show that the proposed method can achieve synchronisation of physical entities and virtual models movements and ensure working accuracy. This study reduces the requirements of DT for industrial software configuration, enhances the efficiency of DT and facilitates further development of DT in industry.