Research On Digital Twin Modeling Of Manufacturing Capability For Robotic Manufacturing Systems

Manufacturing equipment is the main participant in manufacturing activities,and effectively measuring the manufacturing capability of manufacturing equipment is critical to the enterprise.As advanced intelligent manufacturing equipment,industrial robots have been widely used in modern manufacturing,greatly improving production efficiency.In the workshop environment,the robotic manufacturing systems can be divided into manufacturing unit level,production line level and workshop level according to the form of manufacturing capability.However,the traditional modeling methods are often limited to a single level of robotic manufacturing systems,ignoring the interaction between the levels.In addition,most of the existing modeling methods focus on one-way mapping from manufacturing entity to model,which leads to the lack of interaction and linkage between physical space and information space of robotic manufacturing systems.The emergence of digital twin technology is conducive to realize the interconnection between physical space and information space,thus accelerating the realization process of intelligent manufacturing.In view of above problems,this paper focuses on the digital twin modeling theory and method of manufacturing capability for robotic manufacturing systems in the workshop environment.The main research work is as follows:(1)Research on unified modeling of manufacturing capability for robotic manufacturing systems.By analyzing and processing the manufacturing data generated by the robotic manufacturing systems in the workshop environment,a unified physical data model related to the manufacturing capability for robotic manufacturing systems is constructed.On this basis,the manufacturing capability ontology model of robotic manufacturing systems at the manufacturing cell level and the production line level is constructed respectively.Subsequently,association rules mining algorithm is used to mine the relationship between multi-levels of robotic manufacturing systems,and dynamic description logic is used to describe the manufacturing behavior of robotic manufacturing systems,so as to complete the construction of a unified digital description model of manufacturing capability for robotic manufacturing systems.(2)Research on reconfigurable digital twin model of manufacturing capability for robotic manufacturing systems.Based on the connotation of digital twin,a framework of digital twin model related to manufacturing capability for robotic manufacturing systems is proposed.The physical object oriented visual virtual model is developed,and the interaction mechanism between physical data model,digital description model and visual virtual model is studied.In view of the complex and variable internal structure of robotic manufacturing systems,virtual function blocks of different functions are designed and integrated into a functional block network.Finally,a reconfigurable digital twin model based on virtual function block is constructed,which can realize dynamic reconfiguration of manufacturing capability of robotic manufacturing systems.(3)Design and implementation of digital twin information service system of manufacturing capability for robotic manufacturing systems.Based on the proposed digital twin model and relying on the robotic assembly systems in the physical environment,a unified management and information service system for digital twin data is designed and developed.The system includes an information management module,a process monitoring module,a virtual real control module and a capability reconstruction module,and realizes information fusion and mutual control between the physical space and the information space of the robot manufacturing system.