Ontology Modeling And Simulation For Service-Oriented Cyber-Physical Production System

With the rapid development of technology and changing market demand,all manufacturing powers have put forward a new round of industrial development strategy,aiming at realizing intelligent manufacturing by implementing Cyber-Physical Systems(CPS).As a new generation of CPS-based distributed production mode,Cyber-Physical Production Systems(CPPS)have become the focus of research in related fields.In recent years,CPPS studies have tended to focus on system architecture,key technologies,and application scenarios.However,there are still some issues regarding the key technologies of manufacturing resources virtualization and servitization under the new production model:(1)Considering the high dynamic and heterogeneous nature of CPPS,it is necessary to construct a manufacturing resource virtualization reference framework for CPPS system to classify,define,describe,and share manufacturing resources in a distributed production environment;(2)On the basis of manufacturing resource virtualization,how to achieve the dynamic matching and data fusion of CPPS manufacturing resources and manufacturing tasks to support the dynamic operation of CPPS system.To sum up,this paper is mainly concerned on the above two issues,focusing on the study of servitization,virtualization and dynamic matching of manufacturing resources:(1)Firstly,aiming at the problems existing in the virtualization and servitization of manufacturing resources under the new production mode,this paper takes a Service-oriented Cyber-Physical Production System(So-CPPS)as the research object,and studies the connotation,overall structure and characteristics of the system.(2)Secondly,on the basis of the connotation and characteristics of So-CPPS manufacturing resources,adopted object-oriented thought,an abstract classification and detailed definition of So-CPPS manufacturing resources are completed based on the hierarchical,intelligent,granularity and functional characteristics of resources,and an So-CPPS-oriented manufacturing resources system is consequently established.(3)Based on this,this paper describes the So-CPPS manufacturing resource system with a formal method,and constructs a semantic ontology model and data ontology model of So-CPPS manufacturing resource system,so as to achieve a globally unified description and sharing of So-CPPS manufacturing resources.In this way,So-CPPS manufacturing resources are able to complete ontology-based virtualized configuration,which supports the rapid reconfigurable modeling of So-CPPS.On the basis of the semantic description and understanding of global manufacturing resources,driven by dynamic manufacturing task requirements,a task-oriented dynamic matching model of manufacturing resources is constructed based on the So-CPPS manufacturing resource data model,so as to realize the dynamic matching and data fusion between CPPS manufacturing resource model and manufacturing task.(4)Finally,the ontology model of So-CPPS manufacturing resources is instantiated based on the So-CPPS application scenario.On this basis,this paper conducts a simulation based on Anylogic to verify the unified classification,definition,description and sharing of manufacturing resources provided by So-CPPS manufacturing resource ontology model in a specific application scenario,as well as the dynamic matching and data fusion process between manufacturing resource model and manufacturing tasks.