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Lecture and laboratory No. 0 1 Models of cooperating systems

Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Master in Engineering Informatics and Applied Mathematics. Course System Level Modeling for Cyber-Physical Engineering Structures in the Cloud. Lecture and laboratory No. 0 1

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Lecture and laboratory No. 0 1 Models of cooperating systems

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  1. Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Master in Engineering Informatics and Applied Mathematics CourseSystem Level Modeling for Cyber-Physical Engineering Structures in the Cloud • Lecture and laboratory No. 01 • Models of cooperating systems Dr. László Horváth http://users.nik.uni-obuda.hu/lhorvath/

  2. This presentation is intellectual property. It is available only for students in my courses. The screen shots in this presentation were made in the CATIA V5 and the V6 PLM systems as well as the 3DEXPERIENCE platform at the Laboratory of Intelligent Engineering systems, in the course of active modeling process. The CATIA V5 és V6 PLM systems as well as the 3DEXPERIENCE platform are operated at the above laboratory with the support of Dassult Systémes Inc. and CAD-Terv Ltd. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  3. Contents Lecture About the course About the laboratory Development of virtual engineering through paradigm shifts What is cyber physical system (CPS)? Role of informatics and mathematics in engineering Active representations using contextually connected objects Example for cooperating systems Laboratory tasks 1. Understanding object model and contextual connections in it using Slm_CS_01 case study in the V6 PLM modeling system 2. Introduction to the 3DEXPERIENCE platform based cloud laboratory system. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  4. About the course Fundamentals of one of the largest, most complex and highest-level IT applications! . Towards model of cyber physical system (CPS). Selected issues in latest principles, methods, and systemics of engineering informatics. Practice orientation by considering modeling capabilities of world level representative and industrially proven 3DEXPERIENCE platform. Understanding model development process which requires multidisciplinary collaboration amongst area expert engineers, information engineers, mathematicians, physicists, and systems engineers. Engineering area (mechanical, electrical, electronic, hardware, and software engineering) specific expertise issues are not included in this course program! László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  5. About the course Topics Models of cooperating systems Engineering modeling basics Shape model Component connections Realistic multiphysics analysis Modeling capabilities Active knowledge representations System level model in RFLP structure Generic self-adaptive shape model Organic shape representations Model of robot system Engineering modeling project. . László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  6. About the laboratory Laboratory of Intelligent Engineering Systems (Óbuda University) Research in system level intelligent engineering modeling (2005-). Worldwide recognized and published research results. • Lectures and laboratories using leading industrial professional virtual engineering modeling technology. Recent achievements are included in courses. • Laboratory system provided by Dassault Systémes: • V5 (Reference: Boeing 787 Dreamliner) • V6 (Reference: Airbus A 350) • 3DEXPERIENCE in cloud. More information at the site of the laboratory. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  7. Development of virtual engineering through paradigm shifts Shape model and equipment control definition. (70s-80s). Parametric features and object model integration. (90s).Relics from our previous laboratory can be seen on ground floor of this building. Reusable knowledge driven generic contextual knowledge reusing purposed modeling for lifecycle of product (PLM). (2000-). V5 modeling system is available at our laboratory. Multidisciplinary modeling for product system (RFLP structure) using behavior representations. (2010-) V6 PLM system is available at our laboratory (CATIA, ENOVIA, DELMIA, SIMULIA). Organizing modeling capabilities by industry, discipline, and role. (2015-). 3DEXPERIENCE is available at our laboratory. Modeling for cyber-physical-biological systems including smart factory (2015-). 3DEXPERIENCE is available at our laboratory. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  8. Role of informatics and mathematics in engineering Applied informatics and mathematics are key methodologies at modeling of industrial a consumer products, equipment, devices, and processes. Only theoretically grounded and experience proven decisions are accepted. Informatics Behavior representations Contexts Smart procedures Fuctional, logical, and physical level model of object structures. Feature driven model Integration Model system Mathematics Formulas and functions for contexts Base functions for curves and surfaces Topology for boundary representation B and T splines. Behavior and other representations. Model generation procedures. László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  9. What is cyber physical system (CPS)? Cyber units control physical units. Operating parameters of physical units are sensed by organized sensors Sensed information is communicated with cyber units for real time intervention. Main technologies applied System level virtual engineering Intelligent informatics Mathematics in context Representation of behavior Internet of things (IOT) Intelligent sensors Smart control techology Smart assisted human intervention Contexts from outside Active model and simulation Human control Cyber unit Sensor Physical unit László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  10. Engineering Model System (EMS) and its Connections Always actual theory, method, and systems engineering grounded at the same time experience and expertise verified reusable driving knowledge is represented. EMS of CPS EA It organizes and relates knowledge contexts for EA model objects during innovation cycle and lifecycle of EA. Contexts from environment Contexts from IP Structure of driving content RFLP structured engineering model It uses core elements from Systems Engineering (SE). IEEE/1220 (1994, 1999, 2005) “Standard for Application and Management of the SE Process”. System based EA model EA production model CPS Physical units Cyber units Driving contexts with cyber units of CPSs. Cyber units in physically operating CPS EA Cyber units in CPS for manufacturing of EA Operating EA Production of EA Sensors Other CPS Engineering is organized around engineering achievement (EA) suchas industrial product, prototype, experimental configuration. From my presentation on The 15th International Conference on Control, Automation, Robotics and Vision, November 21, 2018. Cyber units in other CPS László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  11. Cyber physical biological system (CPBS) Driving contexts Field Operating SmartCPBS Cyber units Legislation and standards Recognition of situations and decisions Decisions Physical units Actuators IP items Biological Human interactions Sensors EMS for innovation and life cycle of CPBS Model system Requirements Systems Organics Driving contexts Physical objects Organic objects IP support Human interactions Higher priority decisions Physical processes Organic processes Biological Cyber physical biological system (CPBS) here serves analyzing extension of EMS to biological related objects, contexts, and processes. Mutual driving contexts FrommypresentationonThe IEEE International Work Conference on Bioinspired Intelligence, 2019 july Organic units Actuators László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  12. Active representations using contextually connected objects Object B Parameters Contexts Procedures Object A Parameters Contexts Procedures Object C Parameters Contexts Procedures Driving Context A-B Context A-B Context B-C Object A Parameters Contexts Procedures Driving Context A-B Context connects and drives parameters, applies algorithms, logic, math functions, etc. glue in the model, and makes knowledge into operation. Contextual modeling is one of main recent achievements in engineering. Object B Parameters Contexts Procedures Object C Parameters Contexts Procedures László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  13. Example for cooperating systems Several systems for car driver assistance as example for cooperating systems Adaptive cruise control (ACC) adjusts the speed to maintain safe distance from vehicles ahead. Electronic stability control (ESC) detects when vehicle is not going where the driver is steering. Lane Keeping Assist System (LKAS) counteracts steering torque to keep the centre of the lane. Hill descent control system activates brakes to slow the vehicle, Cooperation between human and systems is a new key area in engineering! László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  14. 3DEXPERIENCE László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  15. 3DEXPERIENCE László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  16. 3DEXPERIENCE László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  17. Slm_CS_01 case study Understanding object model and contextual connections in it. Slm_CS_01 case study in active V6 PLM modeling system. Model in the viewport of the user surface. It serves only communication between human and model generation procedure. While it provides slight information, human may see (synthetize) information which is not in the model. This is a real danger at engineering practice! László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  18. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  19. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  20. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  21. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  22. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  23. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  24. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  25. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

  26. Slm_CS_01 case study László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

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