Models of cooperating systems

Slides:



Advertisements
Similar presentations
Experience Design Simulate Produce Collaborate People PLM 2.0 on V6 Platform.
Advertisements

Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Intelligent Engineering Systems Lecture.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Course Situation and Event Driven Models for Multilevel Abstraction Based Virtual Engineering Spaces Óbuda University John von Neumann Faculty of Informatics.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Óbuda University John von Neumann Faculty of Informatics
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Laboratory of Intelligent Engineering Systems Óbuda University, John von Neumann Faculty of Informatics, Institute of Applied Mathematics Before start.
FASTAHEAD Project- Implementation of Key Activities Modules of MSc (Advanced Design & Manufacture)- 13 Modules Developed 1.Design management and prediction;
Introduction to virtual engineering László Horváth Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering.
Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Intelligent Engineering Systems Lecture 3. Description.
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
Mechatronics (1) Instructor: Dr. El-Sayed A. M. Hasaneen 1Mechatronics (1)
Course Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory.
In the Main Stream of Emerging Engineering University Research and Innovation Centre and Institute of Applied Mathematics, John von Neumann Faculty of.
Mining and Oil Faculty Department of Oil and Gas Technologies Master program Technology of Oil Fields Development.
 Introduction  What is Driverless Car ?  History  Component  Action  Technology  Advantages  Disadvantages  Conclusion  Reference.
Introduction to virtual engineering László Horváth Budapest Tech John von Neumann Faculty of Informatics Institute of Intelligent Engineering.
Introduction to virtual engineering Óbuda University John von Neumann Faculty of Informatics Institute of Intelligent Engineering Systems Lecture 2. Description.
Introduction to Avionics Mac Mollison. What I Want to Talk About l What do we mean by “avionics”? l What is the focus of this course?
Lecture and laboratory No. 5 Modeling of behavior of Engineering Objects. Realistic simulation Óbuda University John von Neumann Faculty of Informatics.
Laboratory No. 1 Systems for Lifecycle Management of Product Information Óbuda University John von Neumann Faculty.
Lecture and laboratory No. 8 Connection between real and virtual world objects Óbuda University John von Neumann Faculty of Informatics Institute of Applied.
Lecture and laboratory No. 13 Product data management and exchange Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics.
Lecture and laboratory No. 10 Modeling product as system Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Master.
Laboratory No. 2 Functionality of Engineering Modeling Systems Objects in Model Space Structure of Engineering Configuration Óbuda University John von.
Lecture and laboratory No. 3 Connections Within and Between Solid Representations Óbuda University John von Neumann.
Virtual World for Engineers
1. Modeling Product as a System
Finite element mesh and load definition
EE5900 Cyber-Physical Systems
EE5900 Cyber-Physical Systems
Penn State Center for e-Design Site Vision and Capabilities
Faculty of Computer and Information Science
Fundamentals of Information Systems, Sixth Edition
Cross Disciplinary Definition
Shape Modeling by Form Features
Representation of Geometry in Model Space
ITEA3 Project: ACOSAR Advanced Co-Simulation Open System Architecture
Human and Computer Óbuda University
Introduction to the course
Modeling robot systems
Óbuda University John von Neumann Faculty of Informatics
Autonomous Cyber-Physical Systems: Autonomous Systems Software Stack
Fatma Sena Karal Irem Engin
Industrial Ontologies Group: 10th Anniversary
Test development engineer (M/F)
Virtual engineering An outline of basic methods in virtual space
Systems for Lifecycle Management of Product Information
Business Information Systems
Analysis on the principle of finite elements (FEM/FEA)
Functionality of Engineering Modeling Systems Objects in Model Space
Informatics 121 Software Design I
Intelligent Predictive Maintenance Solution based on Interactive Virtual Reality and Industrial Internet of Things Coherence (INPREMAS)
Introduction To software engineering
Internet of Things.
Smart Learning concepts to enhance SMART Universities in Africa
Intelligent Predictive Maintenance Solution based on Interactive Virtual Reality and Industrial Internet of Things Coherence (INPREMAS)
Definition features for printed circuit board
Contextual connections in shape model
Processing cloud of points into curve and surface
Model data and exchange between different models. ISO
Realistic multiphysics analysis
Autonomous Cyber-Physical Systems: Course Introduction
Instrux: A Cloud based Energy Monitoring Solution
Component connections
Modeling capabilities
Model of robot system Óbuda University
Computer Science Dr Hwang Chair, Computer Science Department
Presentation transcript:

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

László Horváth UÓ-JNFI-IAM 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 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/

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 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/

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 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/

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/

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: 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/

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/

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/

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/

Active representations using contextually connected objects Object A Parameters Contexts Procedures Object B 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/

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/

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

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

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

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 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/

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/

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/

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/

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/

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/

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/

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/

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/

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/