摘要
Discrete manufacturing workshops are confronted with problems of processing diverse products and strict real time requirements for data service calculation and manufacturing equipment,which makes it difficult to provide real time feedback and compensation.In this study,a high-availability,high-performance,and high-concurrency digital twin reference model was constructed to satisfy a large number of manufacturing requirements.A multiterminal real-time interaction model and information aging classification rules for virtual and physical models were established.Moreover,a multiterminal virtual interaction model was proposed,and a generalized distributed computing service digital twinning system was developed.This digital twin system was considered a machine tool box processing line as an actual case.Consequently,a full closed-loop manufacturing process digital twin platform for physical request service,real-time response,and quality information feedback from iterations,which provides case guidance for subsequent factory digital twin systems,was realized.The proposed system can satisfy the requirements of multidevice big data computing services in modern manufacturing plants,as well as multiplatform,low-latency,and high-fidelity information visualization requirements for managers.Thus,this system is expected to play an important role in information factories.
针对离散制造车间面临加工产品多样、数据服务计算实时性要求高、制造设备多导致难以实时反馈补偿的问题,依靠数字孪生虚拟与物理同步的特点,构建满足大量需求的高可用、高性能、高并发数字孪生参考模型。建立面向虚拟与物理模型多终端实时交互模式及信息时效分级规则,提出多终端虚拟交互模型,最终形成一种泛化性分布式计算服务数字孪生系统。并通过机床箱体加工线作为实际案例,验证本数字孪生系统,实现针对物理请求、实时响应、信息反馈、迭代演进的全闭环制造过程数字孪生平台,为之后的工厂数字孪生系统提供案例指导。
作者
LIU Zhi-feng
ZHANG Yue-ze
YANG Cong-bin
HUANG Zu-guang
ZHANG Cai-xia
XIE Fu-gui
刘志峰;张月泽;杨聪彬;黄祖广;张彩霞;谢福贵(Institute of Advanced Manufacturing and Intelligent Technology,Beijing University of Technology,Beijing 100124,China;Beijing Key Laboratory of Advanced Manufacturing Technology,Beijing University of Technology,Beijing 100124,China;China National Machine Tool Quality Supervision Testing Center,Beijing 100000,China;Department of Mechanical Engineering(DME),Tsinghua University,Beijing 100084,China)
基金
Project(51975019)supported by the National Natural Science Foundation of China
Project(2019 ZX 04024001)supported by the National Science and Technology Major Project of China
Project(Z 201100006720008)supported by the Beijing Science and Technology Plan,China。