Developing Strategies in System Level Model of Smart Cyber Physical System
László Horváth
Abstract
It was long way to current highly integrated and smart modeling and simulation in engineering. This way started with separated problem solving for representation, manufacturing control, and visualization of mathematical surfaces. By now, autonomous engineering model system (EMS) serves lifecycle innovation and engineering of systems operated autonomous intelligent industrial and commercial products. Modeling platforms constitute one of the most important and extensive application areas in information technology. Advanced EMS is highly integrated, multidisciplinary, and multipurposed model structure. Any contribution to EMS must use contextual object modeling (CM) and continuous engineering (CE) which are within the most important achievements in engineering during the past two decades. Considering the above situation, this paper introduces the novel organized content model (OCM) approach, concept, and methodology as contribution to integrated and lifecycle serving model system of highly automated products. OCM organizes driving contexts for lifecycle of modeled product. It is an extension to the currently prevailing EMS structure to contribute fulfilling the new requirement of active context based integration of virtual (EMS) with physically operating cyber physical system (CPS) products. Other essential requirement is that relevant objects in EMS and CPS must be contextually driven by higher level decisions, intellectual property (IP) items, and human intervention attempts while EMS and CPS are increasingly autonomous. Therefore, main purpose of OCM is to support active driving contextual connections for EMS and CPS. In this way, this paper discusses integrated model of highly automated complex product system, extended OCM for situation controlled product system, and Support of Situation Awareness by OCM. Research for OCM is done at the Laboratory of Intelligent Engineering Systems (IESL). In this context, preliminary research at IESL and concept of configuring professional cloud organized modeling platform for the purpose of virtual research laboratory (VRL) are also included in this paper.