Research On Intelligent Manufacturing Production Line Of Rotary Parts Based On Digital Twin

Under the wave of global industrial intellectualization,intelligent manufacturing has become the commanding point for countries to develop advanced manufacturing industries.China has launched "Made in China 2025".Intelligent manufacturing is the main direction of "Made in China 2025".The development of intelligent manufacturing is not only a breakthrough for China’s industrial transformation and upgrading,but also a new engine for reshaping the competitive advantage of manufacturing industry.In order to realize intelligent manufacturing,it needs to include the joint support of big data,Internet of Things and digital twins.Digital twin is considered to be an effective means of manufacturing holographic monitoring,simulation iteration optimization and product lifecycle management and other services.It is also a research hotspot of intelligent operation and maintenance of complex systems under intelligent manufacturing.This article took the production line of rotary parts as the research object.By analyzing its production environment,workflow,production process control,and the role and limitations of existing workshop management and control systems,it explored the functions and benefits of digital twin at the level of production management systems,and proposed a solution for intelligent manufacturing production line of rotary parts based on digital twin.The digital twin modeling technology was studied,and a high-fidelity,multi-scale,data driven twin model of the production line was constructed.Based on the Visual Components digital simulation platform,a general modeling framework for simulation models is proposed;Structurally,the hierarchical relationships of various components within the model are constructed;The drive unit and control unit of the model are created from the behavior,and the machining operation and control of a single model are realized;Logically,based on finite state machine(FMS),the state transition of model behavior is specified,realizing the transition from a single device model operating state to a multi device model collaborative operating state.On this basis,by constructing dynamic data models for each device model,the twin model is made data-driven.The information physical integration system(CPS)of the digital twin workshop was designed and implemented.Facing the need for multiple applications,multiple controllers,and multiple devices in production systems,as well as the need for remote operation and monitoring across network segments,an aggregated soft OPC UA server architecture was adopted.Based on the information existence form and data flow,a digital twin workshop CPS architecture based on OPC UA was proposed.Through information modeling,server development,and client access,a unified standard specification and interface for the digital twin workshop have been established.All information within the production system is based on a unified standard protocol,enabling production data to flow and share unobstructed in production management systems,enterprise level applications,and virtual spaces.A real-time connection between physical entities and digital models of production lines was established,realizing virtual and real interaction between digital twins.A digital twin workshop operation mode was proposed,forming a service system based on the digital twin operation mode.The composition,operation process,and collaborative manufacturing method of the system were described,and the mode was applied to the production system of rotating parts,The effectiveness and feasibility of the digital twin operation mode in the context of intelligent manufacturing have been verified through the collaborative work of various system modules and the functions and benefits brought by them.