Scientific Data and Knowledge Management in
Aerospace Engineering

ADVCOMP 2009 (October 13th 2009, Sliema)

Andreas Schre...
Outline


  Who we are
  What we do (among other things)
  How we do it
  What we want to do next




                    ...
Who we are


DLR
German Aerospace Center




   Research Institution
   Space Agency
   Project Management Agency




    ...
Who we are


6200 employees across                                        Hamburg 
29 research institutes and            ...
What we do (among other things)
Simulation in Aerospace and Avionics
  Designing new space and aerospace vehicles require ...
How we do it
Software Technology for Aerospace Simulations

Numerical Codes
  For example, high-fidelity CFD codes
  Many ...
Distributed Computing and Data Management


   Large data sets are accumulated by simulations
   Data are the significant ...
Distributed Computing and Data Management
   DataFinder

                                                                 ...
Distributed Computing and Data Management
DataFinder
  Running simulations




                                           ...
Integrated Environments and Workflow Management


   Simulations are mostly conducted in complex workflows
   Workflow com...
Integrated Environments and Workflow Management
Remote Component Environment (RCE)

  Integration environment with base so...
Integrated Environments and Workflow Management
Provenance System

    The Provenance of some information is the history o...
Knowledge Management


   Usage of numerical methods are
   standardised procedures
   Procedures are based of experience ...
Knowledge Management
Expert System for Aerospace Engineers (XPS4CFD)

  Assistance of users of DLRs CFD-software TAU
  Pro...
Conclusion
Putting All Together…                                             Expert                                feedbac...
What we want to do next


  Tighter integration of the expert system


                        Expert                  fee...
What we want to do next


  Integration of external data sources into the expert system




                              ...
What we want to do next
Integration of Web 2.0 Technologies

    Web 2.0 technology have huge potential in research areas
...
What we want to do next
Integration of Web 2.0 Technologies
Publish, discuss, document, and share
          Results
      ...
Questions?


                                                                                                             ...
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Scientific Data and Knowledge Management in Aerospace Engineering

  1. 1. Scientific Data and Knowledge Management in Aerospace Engineering ADVCOMP 2009 (October 13th 2009, Sliema) Andreas Schreiber, Jens Rühmkorf, Doreen Seider German Aerospace Center (DLR) – http://www.dlr.de/sc Folie 1 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  2. 2. Outline Who we are What we do (among other things) How we do it What we want to do next Folie 2 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  3. 3. Who we are DLR German Aerospace Center Research Institution Space Agency Project Management Agency Folie 3 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  4. 4. Who we are 6200 employees across Hamburg  29 research institutes and  Neustrelitz Bremen   Trauen facilities at Berlin   13 sites. Braunschweig   Dortmund  Goettingen Offices in Brussels,  Koeln Paris and Washington.  Bonn Lampoldshausen  Stuttgart   Oberpfaffenhofen Weilheim  Folie 4 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  5. 5. What we do (among other things) Simulation in Aerospace and Avionics Designing new space and aerospace vehicles require high-resolution numerical simulation steps conducted in complex workflows Involved disciplines: Aerodynamics – Structure – Heat – Flight mechanics – Radar & Infrared signature – Materials (physics/chemistry) – Combustion … Folie 5 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  6. 6. How we do it Software Technology for Aerospace Simulations Numerical Codes For example, high-fidelity CFD codes Many codes available (free, commercial, proprietary) Two major CFD codes of DLR TAU TRACE Supporting Tools for Distributed Computing and Data Management Integrated Environments and Workflow Management Knowledge Management Folie 6 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  7. 7. Distributed Computing and Data Management Large data sets are accumulated by simulations Data are the significant essence of simulations It is essential to make them available in a useful way  Tool handling those data Folie 7 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  8. 8. Distributed Computing and Data Management DataFinder Storage Locations Logical View User Interface “Data Stores” Department Employee Simulation Geometry Grid Generation Flow Solution Visualisation Folie 8 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  9. 9. Distributed Computing and Data Management DataFinder Running simulations Folie 9 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  10. 10. Integrated Environments and Workflow Management Simulations are mostly conducted in complex workflows Workflow components mostly run on different hosts Single simulations mostly come from different disciplines  Environment for integrating the different simulations and handling the workflow execution and all related tasks Folie 10 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  11. 11. Integrated Environments and Workflow Management Remote Component Environment (RCE) Integration environment with base software components Eclipse Rich Client Platform application Integrating diverse and specific applications (e.g. simulation codes) Folie 11 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  12. 12. Integrated Environments and Workflow Management Provenance System The Provenance of some information is the history of its creation Provenance of computational workflows gives information about the origin of electronic data the compliance of the workflow that led to the data Folie 12 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  13. 13. Knowledge Management Usage of numerical methods are standardised procedures Procedures are based of experience of knowledge of previous simulations Knowledge about strengths and weaknesses of certain simulation codes  Expert systems conserving and providing knowledge http://www.esa.int/esaMI/Rosetta Folie 13 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  14. 14. Knowledge Management Expert System for Aerospace Engineers (XPS4CFD) Assistance of users of DLRs CFD-software TAU Provide best-practices and guidelines, depending on specific problems and facts Rule-based system using JBoss Drools as the rule engine Eclipse Rich Client Platform application, based on RCE Folie 14 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  15. 15. Conclusion Putting All Together… Expert feedback analysis System User generate workflow Shares knowledge Uses knowledge Data & trace Works with data Workflow Provenance user Management Store Search meta data action Select resources execute workflow trace Software tools workflow GRID execution Generates workflow description Executes workflows in Grids Computing resources Applications Records Provenance info Data Folie 15 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  16. 16. What we want to do next Tighter integration of the expert system Expert feedback analysis System generate workflow Data & trace Workflow Provenance user Management action Store execute workflow trace workflow execution ... Folie 16 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  17. 17. What we want to do next Integration of external data sources into the expert system Folie 17 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  18. 18. What we want to do next Integration of Web 2.0 Technologies Web 2.0 technology have huge potential in research areas Each of us contains knowledge and information At the moment no way to use them in an easy way  Make them accessible for others Folie 18 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  19. 19. What we want to do next Integration of Web 2.0 Technologies Publish, discuss, document, and share Results Input data Resources Problems Via Web 2.0 technologies Chats, Wikis, Blogs, Social Networks  Simplicity and Usability for Collaboration User participation Folie 19 ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009
  20. 20. Questions? Folie 20 Doreen.Seider@dlr.de ADVCOMP 2009 > Doreen Seider > Scientific Data and Knowledge Management in Aerospace Engineering > 13.10.2009

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