buda University John von Neumann Faculty of Informatics

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. 01 Models of cooperating systems Dr. László Horváth http: //users. nik. uni-obuda. hu/lhorvath/

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 V 5 and the V 6 PLM systems as well as the 3 DEXPERIENCE platform at the Laboratory of Intelligent Engineering systems, in the course of active modeling process. The CATIA V 5 és V 6 PLM systems as well as the 3 DEXPERIENCE 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/

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 V 6 PLM modeling system 2. Introduction to the 3 DEXPERIENCE platform based cloud laboratory system. László Horváth UÓ-JNFI-IAM http: //users. nik. uni-obuda. hu/lhorvath/

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 3 DEXPERIENCE platform. Understanding model development process which requires multidisciplinary collaboration amongst area expert engineers, information engineers, mathematicians, physicists, and systems engineers. Engineering area (mechanical, 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/

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/

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: V 5 (Reference: Boeing 787 Dreamliner) V 6 (Reference: Airbus A 350) 3 DEXPERIENCE in cloud. More information at the site of the laboratory. László Horváth UÓ-JNFI-IAM http: //users. nik. uni-obuda. hu/lhorvath/

Development of virtual engineering through paradigm shifts Shape model and equipment control definition. (70 s-80 s). Parametric features and object model integration. (90 s). 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 -). V 5 modeling system is available at our laboratory. Multidisciplinary modeling for product system (RFLP structure) using behavior representations. (2010 -) V 6 PLM system is available at our laboratory (CATIA, ENOVIA, DELMIA, SIMULIA). Organizing modeling capabilities by industry, discipline, and role. (2015 -). 3 DEXPERIENCE is available at our laboratory. Modeling for cyber-physical-biological systems including smart factory (2015 -). 3 DEXPERIENCE is available at our laboratory. László Horváth UÓ-JNFI-IAM http: //users. nik. uni-obuda. hu/lhorvath/

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 Mathematics Behavior representations Formulas and functions for contexts Contexts Base functions for curves and surfaces Smart procedures Topology for boundary representation Fuctional, logical, and physical level model of object structures. B and T splines. Feature driven model Model generation procedures. Behavior and other representations. Integration Model system László Horváth UÓ-JNFI-IAM http: //users. nik. uni-obuda. hu/lhorvath/

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. Contexts from outside Active model and simulation Main technologies applied Human control Cyber unit Sensor Physical unit 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 László Horváth UÓ-JNFI-IAM http: //users. nik. uni-obuda. hu/lhorvath/

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

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

Active representations using contextually connected objects Driving Context A -B Object A Parameters Contexts Procedures Context A-B Parameters Contexts Procedures Object C Context B-C Parameters Contexts Procedures Object A Parameters Contexts Procedures Object B Parameters Contexts Procedures Object C 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. Parameters Contexts Procedures László Horváth UÓ-JNFI-IAM http: //users. nik. uni-obuda. hu/lhorvath/

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/

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

Slm_CS_01 case study Understanding object model and contextual connections in it. Slm_CS_01 case study in active V 6 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/

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