Round Table 2 Simulation and Interactive Visualization:

Slides:



Advertisements
Similar presentations
2009 – E. Félix Security DSL Toward model-based security engineering: developing a security analysis DSML Véronique Normand, Edith Félix, Thales Research.
Advertisements

DM Copyright © Tekes Digital Product Process.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 4 Slide 1 Software Processes.
The System and Software Development Process Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
Unit 2. Software Lifecycle
© University of Strathclyde Assessing Aesthetic Quality Martin Fitchie University of Strathclyde.
Integrating information towards Digital ATM Cyber Situational Awareness Presented By: David M. Petrovich Date:August 28, 2013.
André Weiß, DLR Institute of Space Systems Concurrent Evaluation – An Application for DLR’s Concurrent Engineering Facility SECESA 2010, October,
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 4 Slide 1 Software Processes.
Introductions Jim Enzinna, Chief, Licensing Division Mark DiNapoli, Assistant Chief, Licensing Division Tracie Coleman, Head, Information Section Vince.
Romaric GUILLERM Hamid DEMMOU LAAS-CNRS Nabil SADOU SUPELEC/IETR ESM'2009, October 26-28, 2009, Holiday Inn Leicester, Leicester, United Kingdom.
S/W Project Management Software Process Models. Objectives To understand  Software process and process models, including the main characteristics of.
Software Development *Life-Cycle Phases* Compiled by: Dharya Dharya Daisy Daisy
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 4 Slide 1 Software Processes.
©Ian Sommerville 2000, Mejia-Alvarez 2009 Slide 1 Software Processes l Coherent sets of activities for specifying, designing, implementing and testing.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 4 Slide 1 Software Processes.
ESA/ESTEC, TEC-QQS August 8, 2005 SAS_05_ESA SW PA R&D_Winzer,Prades Slide 1 Software Product Assurance (PA) R&D Road mapping Activities ESA/ESTEC TEC-QQS.
1 Automotive News - May 20, 2008 Enhancement of Virtual Development in FGA Harald J. Wester Chief Technical Officer Fiat Group.
Product Lifecycle Management © 2003 IBM Corporation  Customer Background –Designs, manufactures and distributes high- quality parts and products for pleasure.
Lecture 3 Software Engineering Models (Cont.)
NMP EO-1 TECHNOLOGY WORKSHOP Section 2 Meeting Objectives.
Object-oriented Analysis and Design Stages in a Software Project Requirements Writing Analysis Design Implementation System Integration and Testing Maintenance.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 4 Slide 1 Software Processes.
© 2012 xtUML.org Bill Chown – Mentor Graphics Model Driven Engineering.
ANKITHA CHOWDARY GARAPATI
March 2004 At A Glance NASA’s GSFC GMSEC architecture provides a scalable, extensible ground and flight system approach for future missions. Benefits Simplifies.
1 UWDO Overview – NUWC WAK – 12/14/01 Simulation Based Design (SBD) Vision The SBD VISION: Develop, manufacture, deploy, and operate weapons “in the computer”
1 Advanced Collaborative Environments Kris Brown Carmel Conaty Johnny Medina.
MODEL-BASED SOFTWARE ARCHITECTURES.  Models of software are used in an increasing number of projects to handle the complexity of application domains.
Toulouse, September 2003 Page 1 JOURNEE ALTARICA Airbus ESACS  ISAAC.
SOFTWARE ENGINEERING. Objectives Have a basic understanding of the origins of Software development, in particular the problems faced in the Software Crisis.
CSPC 464 Fall 2014 Son Nguyen. 1. The Process of Software Architecting, Peter Eeles, Peter Cripss 2. Software Architecture for Developers, Simon Brown.
Software Engineering, 8th edition. Chapter 4 1 Courtesy: ©Ian Sommerville 2006 FEB 13 th, 2009 Lecture # 5 Software Processes.
1 Integrated Modeling Stephen Merkowitz. 2 May 13, 2003 Integrated Modeling LISA has intricate interactions between subsystems that require an integrated.
Multi-disciplinary Approach for Industrial Phases in Space Projects Evolution of classic SE into MBSE Harald EisenmannAstrium Satellites Joachim Fuchs.
What we mean by Big Data and Advanced Analytics
Join B. Tech Programs (Industry Integrated) in Core Engg. Sector
GKR 2113: INTRODUCTION TO DESIGN PROCESS
Prototyping in the software process
Software Prototyping.
ServiceNow Business Offerings
SMS Roundtable Discussion NAFEMS Americas 2016, Seattle, WA, USA
ITEA3 Project: ACOSAR Advanced Co-Simulation Open System Architecture
Identify the Risk of Not Doing BA
National Emergency Communications Plan Goal 2
The Systems Engineering Context
Software Processes (a)
Y. Liu, M. Deshmukh, J. C. Wulkop, P. M. Fischer and A. Gerndt
Round Table 2 - Introduction Simulation and Interactive Visualization:
Software Processes.
Overview of System Engineering
BIM - Building Information Modeling A well-structured BIM is a key to achieve success in the Building Design and Construction process. Qatar Green Leaders.
Quantifying Quality in DevOps
HATS – Hierarchical Automated Test Sequencer Platform
Introduction to Software Testing
FDA Objectives and Implementation Planning
Chapter 2 – Software Processes
ASSESS Initiative Update
Virtual Platforms Driving Software Quality in Pre-Silicon
LSI-VC Work Plan Updates
CS 8532: Advanced Software Engineering
Presented By: Darlene Banta
MedAmerica – Prophix story
INCOSE IW 2014 Town Hall January 27, 2014
Human Computer Interaction Lecture 14 HCI in Software Process
Hardware Development Tool Stack
CEOS strategy for GFOI Phase 2
Presentation transcript:

7th International Conference on Systems Engineering & Concurrent Engineering for Space Applications Round Table 2 Simulation and Interactive Visualization: Building the Space System Digital Twin Collaborative Approach and Virtual Spacecraft throughout Project Phases

Objective Objective: sketch a work plan with a list of actions, in the frame of Space 4.0, to improve our space practices and target efficiency improvement in terms of time and costs

Panel Composition Moderator: Antonio Martelo, DLR, System Engineer and Head of Concurrent Engineering Facility (CEF) Panelists: Joachim Fuchs, ESA, Head of System Modelling and Functional Verification section at ESTEC Christoph Kossira, AUDI, Head of chassis simulation Jean-Luc Le Gal, CNES, Responsible of the Concurrent Design Facility at the Space Mission Feasibility Study Office Jan-Christian Meyer, OHB, Project Engineer for Space Systems Studies Mauro Pasquinelli, TAS, Specialist in Model-based tools and methods Oliver Romberg, DLR, Head of System Analysis Space Segment Department Giancarlo Varacalli, ASI, Head of Engineering Office, Technology and Engineering Unit Francois Verges, AIRBUS, Integration and Test Techno leader.

The Digital Model (Methodologies & Design) Tools (in all/later phases): (JCM) Benefits deriving from the introduction of a (full) digital model in the world of prototyping (and small series production) need to be assessed in order to conclude on the optimal extent of digital modelling and automation into our space practices. How could this benchmark be performed and be representative? (FV) The digital model (*) needs to consider AIT requirements, including parameters that cover/focusing on: X Y Z” (X Y Z to be defined by the community) (*) implemented using OCDT, Arcadia CAPELLA, MagicDraw, PDM…

The Digital Model (Methodologies & Design) – cont’d Tools (in all/later phases): (MP) Digital models are complex and are subject to the GIGO (Garbage In Garbage Out) risk. On later phases the model is the consequence of the work of many people, and many people should control the validity of the information inserted in the “digital twin”. Any error inserted in the model is a big risk. Which should be the main requirements for a user-friendly and distributed environment which keeps all the actors involved in the consistency check of all the information composing the digital twin? How to reduce the workload associated to the management of the model?

The Digital Model (Methodologies & Design) Process (in later phases , in particular): (FV) Along with Digital Model there shall be a working procedure enhancing more communication and exchange of information across engineers acting on the early phases and engineers of the later phases. How can we achieve this? (OR) We should increase the effort to identify the elements (SW, processes, teaming and communication strategies, etc.) of collaborative/concurrent engineering in other industries (e.g. car, aviation) which can be applied in later phases of spacecraft development and also MAIT How do we identify those elements? What steps have to be taken? (GV) Space could benefit from non-space sectors spin-in (e.g. aviation or car manufacturing): how to identify elements from non-space domains that could be infused in space practices? Interaction with automotive: AUDI (CK) Automotive experiences “evolution” rather than “revolution” How to handle the complexity in the electronic architecture? Space is more about “How to develop without prototypes”. Automotive is more about “How to reduce prototypes”

Open Discussion

The transition from the Digital Model to the Assembled System (FV) The digital model should be used with technologies such as virtual and augmented reality to enhance the integration and quality checks in preparation and execution. How does this help us? (JCM) Real-time visualization of the built status would help executing integration procedures and reduce failure rates. Which technologies do we have to make ready and mature in order to target an application case implementing real-time visualization of the built status? (GV) Some of the tests could be replaced by analytical checks on the digital model, adequately correlated to the “as-built”. How do we get there?

Open Discussion

Advanced Manufacturing, Assembly, Integration & Testing Rapid-prototyping, GSE Re-use, AIT at equipment level, are practices that could be applied to pilot cases for an assessment of benefits. Would you think these practices could be used on ad-hoc missions and not on a sequence of common platforms? (GV) Can we think of verification and quality control embedded into production for time optimization? How do we get there? (GV) Sensor Technologies shall be exploited as enablers for accurate mapping between the real system and the digital model twin. Which are the closest application cases we can identify?

Open Discussion