| Virtual-reality fusion is one of the two core features of intelligent manufacturing.It can coordinate and arrange the optimal allocation of resources,energy and time,and improve the efficiency of industrial production.Digital twin is an effective technology to realize virtual-reality fusion,which creates a high-fidelity digital model of physical entity while maintaining real-time interaction with it.Therefore,it is very important for the development of intelligent manufacturing to study the realization and application of digital twins.In this paper,a set of representation,realization and deployment of digital twinning is designed,and a digital twinning platform is built to verify it.The main work of this paper is as follows:1)This paper proposes a modular and hierarchical implementation scheme of digital twin.Taking the digital twins as the modular combination of data and functions,this paper designs the representation and naming method of the modular and hierarchical digital twins,and adopts the micro-service as the realization mode of the components in the digital twins.Aiming at the security organization of digital twins,this paper designs a security organization mechanism between components in digital twins based on Merkle tree.2)This paper proposes a DQN-based deployment method of digital twins in cloud native networks.According to the elastic and distributed characteristics of cloud native technology and the business requirements of intelligent manufacturing scenario,an intelligent manufacturing task model based on digital twinning is established.On this basis,a method of deploying digital twinning based on Deep Q Network(DQN)is designed for the efficient execution of intelligent manufacturing task.3)This paper designs and implements the digital twin platform based on cloudnative,including task management,digital twinning management,service management,platform service and so on.Based on this platform,the function and performance test of digital twins establishment,deployment and task execution are carried out,which verifies the feasibility and realizability of the proposed digital twins implementation scheme. |
