Intelligent Content Driving of Engineering Model System in Modeling Platform

Abstract

Engineering modeling software systems have been developed during a long integration process from separated partial solutions to current modeling software platforms (MSPs). MSP is expected to provide all necessary model creation and application capabilities during integrated innovation and the life cycle of commercial and industrial products (CIP). Recently, advanced CIP is operated by component systems organized within an increasingly autonomous cyber physical system (CPS). CIP is represented by the engineering model system (EMS). EMS is driven by active contexts between the outside world and EMS, between component models of EMS, and between objects in a component model. EMS reacts to any new contribution using all formerly represented contexts. Consistent structure of contexts gives autonomous operation capability for EMS. Active contexts between the outside world and EMS make EMS sensitive to outside world changes. In the other direction, EMS can generate advice for the outside world using high level and well-organized active knowledge as context. Contributing to research in key issues around EMS and the relevant software technology, this paper introduces results in requirements against MSP capabilities to represent intelligent driving content (IDC) in EMS. A novel organized structure of IDC and continuous engineering (CE) aspects of IDC development are explained and discussed placing the main emphasis on situation awareness. Finally, a new concept is introduced in which purposeful EMS acts as the only media in communication of researchers. Specially configured MSP facilitates participation from industrial, institutional, and academic organizations. The research proceeds at the Laboratory of Intelligent Engineering Systems (IESL) in the organization of the Óbuda University.