SlideShare a Scribd company logo
1 of 58
Download to read offline
Scientific Data and Knowledge Management in
Aerospace Engineering

Korea e-Science AHM 2008 (September 8th 2008, Daejeon)
Andreas Schreiber <Andreas.Schreiber@dlr.de>
German Aerospace Center (DLR), Cologne
http://www.dlr.de/sc
                                                                                                                                        Folie 1
                               Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Outline


  German Aerospace Center (DLR)
  Introduction
  Excurse: DLR CFD Codes
  Grid Computing: D-Grid and AeroGrid
  Software Tools: DataFinder, RCE, and XPS4CFD
  Conclusion




                                                                                                                                      Folie 2
                             Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
The DLR
German Aerospace Research Center
Space Agency of the Federal Republic of Germany




                                                                                                                                        Folie 3
                               Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Sites and employees


5,700 employees working                                                                Hamburg
in 28 research institutes and                             Bremen-                                                       Neustrelitz
facilities                                                   Trauen
                                                                                                        Berlin-
                                                          Braunschweig
        at 13 sites.

                                                                                            Göttingen
Offices in Brussels,
Paris and Washington.                                               Köln
                                                                    Bonn



                                                                                       Lampoldshausen

                                                                                    Stuttgart

                                                                                                         Oberpfaffenhofen
                                                                            Weilheim




                                                                                                                                         Folie 4
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Introduction
Simulation in Aerospace and Avionics
  Designing new space and aerospace vehicles require high-resolution
  numerical simulation steps conducted in complex workflows
        The complete simulation of all flow phenomena throughout the
        entire flight envelope including the multidisciplinary simulation of
        all involved disciplines
        The multidisciplinary optimization of the overall aircraft design
        as well as the design of major parts, such as the turbine engines
  Involved disciplines:
  Aerodynamics – Structure – Heat – Flight mechanics – Radar & Infrared
  signature – Materials (physics/chemistry) – Combustion …




                                                                                                                                         Folie 5
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Software Technology for Aerospace Simulations
Numerical Codes and Supporting Tools

Highly sophisticated and optimized numerical simulation codes
   For example, high-fidelity CFD codes
   Many codes available (free, commercial, proprietary)
   To major CFD codes of DLR
        TAU
        TRACE

Simulation infrastructure and supporting tools
   Grid environments
   Data and workflows management tools                                                                     Integrated
                                                                                                           Integrated
   Knowledge management ( documentation!)                                                                  environments
                                                                                                           environments
   Preprocessing, post processing, visualization

                                                                                                                                         Folie 6
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DLR CFD Codes




                                                                                                                         Folie 7
                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DLR TAU Code
Finite Volume CFD Solver

   Reynolds-averaged Navier-Stokes
   (RANS) code
   Steady and unsteady flow, hybrid grids
   State-of-the-Art turbulence models
   Adaptation module for local refinement
   Chimera method
   Completely parallelized (MPI)
   Used in European industry (Airbus,
   EADS)
Contact:
   DLR Institute of Aerodynamics and Flow
   Technology
   http://www.dlr.de/as/case

                                                                                                                                        Folie 8
                               Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DLR TRACE Code
Turbo machinery CFD

   TRACE: Turbo machinery Research
   Aerodynamics Computational Environment
   unsteady Reynolds-averaged Navier-Stokes
   (URANS) code
   Steady and unsteady flow (finite volumes)
   Hybrid multi block method
   Completely parallelized (MPI)
   Used in European industry (Siemens, MTU
   Aero Engines, Rolls Royce)

Contact:
   DLR Institute of Propulsion Technology
   http://www.dlr.de/at

                                                                                                                                         Folie 9
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Simulation Infrastructure
Grid Computing in Germany – D-Grid




                                                                                                                               Folie 10
                       Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
German D-Grid Initiative
Grid Infrastructure for e-Science

Objectives
   Building a Grid Infrastructure for science and business in Germany
   Combine existing German grid activities
   Integration of middleware components developed in Community Grids
Three components of the infrastructure
   Networks and associated tools
   Software layer for connecting tools and services
   Scientific information and knowledge
Important aspects
   Continuing sustainable production grid infrastructure after the end of the
   funding period
   Integration of additional grid communities (2./3. generation)
   Business models for grid services
                                                                                                                                          Folie 11
                                  Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
D-Grid Projects
 Community Grid Projects
                                     User Services (Portals)




                                                                                                                                                                PartnerGrid
                                                                                                           BauVOGrid
Astro-Grid



                       HEP-Grid



                                             MediGrid




                                                                                          AeroGrid
         Business Services, SLAs, SOA Integration, Virtualization




                                                        TextGrid

                                                                          WISENT
             C3-Grid



                                  In-Grid
                                                                                                                                   ●●●

                                  Knowledge Management


                       Grid Middleware und Grid Services
                                            Integration Project

                                                                                                                                                                              Folie 13
                                                                   Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
General D-Grid Architecture
                                                    User/Application



  Application
 development                     GAT API                     GridSphere
     and                                                                                                Plug-In
 user access


                                                                                   Nutzer
                     Scheduling
                Workflow Management

   higher
    Grid            Monitoring
  Functions

                Datenmanagement            LCG/gLite                                                        UNICORE


                    Accounting
                      Billing
    Base           User/VO-Mngt
   services                                           Globus
                      Security




                                                  Network-
                          distributed                                             distributed
                 Data/                         infrastructure
                         data archives                                             compute
                Software
                                                                                  Resources

                                                                                                                                                       Folie 14
                                               Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Specifics of the D-Grid Architecture


  D-Grid supports three middleware and two data access protocols.
  Combines requirements of all communities.
  Goal: Support of all middleware systems by all resource providers




                                                                                                                                        Folie 15
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
D-Grid Infrastructure (2007)




                                                                                                                                Folie 16
                        Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
AeroGrid Project




                                                                                                                           Folie 17
                   Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
AeroGrid
Project Data

Grid-based cooperation between industry,
research centres, and universities in
aerospace engineering




Runtime: April 1, 2007 – March 30, 2010
Website: http://www.aero-grid.de




                                                                                                                                        Folie 18
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
AeroGrid
Use Cases and Project Goals

Usage scenarios
    Use of computing resources via the AeroGrid
    Collaboration in designing engine components
    Co-operative further development of TRACE code


Project goals
    Allow cooperation in research and development projects
    Use of up-to-date program versions, data, and compute resources
    across all locations
    Detailed documentation of history of a computational process that leads
    to a certain result (“Provenance”)


                                                                                                                                         Folie 21
                                 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Service-Provider A
                                                                                        Service-Provider A
                                                                                         WebDAV/
                                                                                          WebDAV/                                               Resources
                                                                                                                                                Resources
                                                                                         AFS/SRB/
                                                                                         AFS/SRB/
  Cooperation in AeroGrid                                                                GridFTP/…
                                                                                         GridFTP/…




                                                                                                                                UNICORE6
                                                                                                                                UNICORE6
                                                                                                                                                Data/ Tools
  User
  User                                                                                  GridSphere
                                                                                        GridSphere                                              Meta data
                                   Data
                                   Data                                                   Server
                                                                                          Server
  Code
  Code                          Management
                                Management
Developer
Developer            Tool
                                  Client
                                   Client
                                                                                           Workflow
                                                                                           Workflow
                                                                                           Service*
                                                                                           Service*
                                                                                                                                             CPU Resources




                                                                Grid Interfaces
                                       Web
                                        Web                                             Service-Provider B
                                                                                        Service-Provider B
                                       Portal
                                       Portal
Simulation
Simulation                                                                                                                                      Resources
                                                                                         WebDAV/
                                                                                          WebDAV/                                               Resources
  User
   User                                                                                  AFS/SRB/
                                                                                         AFS/SRB/
                                                                                         GridFTP/…
                                                                                         GridFTP/…




                                                                                                                                UNICORE6
                                                                                                                                UNICORE6
                                                                                                                                                Data/ Tools
                                    Workflow
                                    Workflow                                             GridSphere
                                                                                         GridSphere                                             Meta data
                                     Client*
                                     Client*                                               Server
                                                                                           Server


                                                                                           Workflow
                                                                                           Workflow
                                                                                           Service*
                                                                                           Service*
             * Workflow service and client are not part of the project.                                                                       CPU Resources
               They will be added for later user communities.




                                                                                                                                 ...
                                                                                                                                                                           Folie 22
                                                                   Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Provenance
Origin and Authenticity of Results

Provenance of computational processes
    Recorded documentation of processes as they take place
    With this documentation, we can determine:
          the origin of electronic data and
          the compliance of the process that led to the data

Definition of provenance
    The Provenance of some information is the history of its creation

Related Terms
    “Data Lineage” is another word for Provenance
    Provenance is NOT “Logging”

                                                                                                                                          Folie 23
                                  Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Provenance
Example Queries

  Given some data item, what was the simulation case?
  Given some parameter, in what simulation(s) has it been used?
  What data has been recorded in a simulation with a specific parameter?
  What simulations have been run using a given model (aircraft design)?
  Given two/more simulations with the same setup, what is the result and
  the difference in provenance?
  What have been the initial conditions for this simulation?
  What were the termination criteria?
  How often has the workflow been executed?
  What specific algorithm/version has been used in computations?
  What were the hosts participating in the simulation run?

                                                                                                                                         Folie 24
                                 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Provenance
Benefits for Aerospace Applications

  Clean documentation of distributed simulation workflows

  Ability to analyze and reason over all conducted computations
         Understanding of computations and their results
         Tool based support for analyses

  Allows checking for requirements
       Compliance to legal and business regulations

  Proof and reproducibility of results




                                                                                                                                          Folie 25
                                  Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Example
        Provenance Information in Simulations
                                  Process                                                     d2
                                  control                                                                                                File-Server
                                                                             m1
           i0                                               c-4
                                                      c4
                  c1 c-1                                                                                                     d1
                               c2 c-2                   c3           c-3


    Pre-         i1       Parameter         i2                            Simulation                             i4
                                                                                                                                   Visualization
 Processing                variation
                                            i3                                                          Relationen:
Interactions:
                                                                                                        - r0: i0 causes i1
          Configuration          State                                                                  - r1: i1 causes i2
                                 of the Actors                                                          - r2: i2 causes i3
          Process flow                                                                                  - r3: i2 causes i4
          Monitoring                                                                                    - r4: i3 causes i2
                                                                                                        - r5: i2 causes m1
          Data management                                                                               - r6: i2 causes d1
                                                                                                        - r7: i0 causes d2
                                                                                                                                                         Folie 27
                                                 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
AeroGrid User Interfaces


Portal
    Web-basaed access
    Devlopment based on GridSphere



Client applications
    Automation of recurring tasks
    Integration in existing working
    environments




                                                                                                                                              Folie 28
                                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Data Management Client Software
DataFinder




                                                                                                                             Folie 29
                     Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DataFinder
Short Overview
DataFinder
   Efficient management of scientific and technical data
   Focus on huge data sets

Development of the DataFinder by DLR
   Available as Open-Source-Software

Primary functionality
   Structuring of data through assignment of meta information and self-
   defined data models
   Complex search mechanism to find data
   Flexible usage of heterogeneous storage resources
   Integration in the working environment


                                                                                                                                          Folie 30
                                  Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DataFinder
Uses

Large-scale simulations
   aerodynamics
   material science
   climate
   …

Measured data
   wind-tunnel experiments
   earth observations
   traffic data
   …



                                                                                                                                     Folie 31
                             Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DataFinder Overview
Basic Concept

  Client-Server solution
  Based on open and stable standards, such as XML and WebDAV
  Extensive use of standard software components (open source /
  commercial), limited own development at client side




                                                                                                                                     Folie 32
                             Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DataFinder
    Mass Data Storage using “Data Stores“

                                                                                                          Storage
Logical View      User Client                                                                            Locations
                                                                                                       “Data Stores”




                                                                       External Medias
                                                                                                                                        Folie 34
                                                                        (CD, DVD,…)
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Data Structure
Mapping of Organizational Data Structures
                                                                                                                                                 Object
                                                                                  Object                                                          (file)
                                                                                (collection)
                            Relation                                                                                                     File 1             Project   Mega
                                                                                                                                                             Code     Ultra
                                                                                                                                                             User     Eddie




                                                                  Simulation I
                                                                                                                                                             Key      Value




                                                                                                      Project   Mega
                                                                                                       Code     Ultra
                                                                                                       User     Eddie
                                                                                                       Key      Value




                                                                                                                                         File 2             Project   Mega
                                                                                                                                                             Code     Ultra
                                                                                                                                                             User     Eddie



                          Project A                              Simulation II
                                                                                                                                                             Key      Value




                                  Project   Mega                                                      Project   Mega
                                   Code     Ultra                                                      Code     Ultra
                                   User     Eddie                                                      User     Eddie
                                   Key      Value                                                      Key      Value




                                                                  Experiment
 User   Project   Mega
                          Project B
                                  Project   Mega
                                                                                                      Project
                                                                                                       Code
                                                                                                       User
                                                                                                       Key
                                                                                                                Mega
                                                                                                                Ultra
                                                                                                                Eddie
                                                                                                                Value

         Code     Ultra            Code     Ultra
         User     Eddie            User     Eddie
         Key      Value            Key      Value




                                                                                                                         Attributes
                          Project C
                                  Project
                                   Code
                                   User
                                   Key
                                            Mega
                                            Ultra
                                            Eddie
                                            Value
                                                                                                                        (meta data)

                                                                                                                                                            Folie 36
                                                    Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
DataFinder in AeroGrid
Turbine Simulation

                                                                                                                   Folie 38
           Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Turbine Simulation
    Data Model

Simulation steps (example):
1. splitCGNS
        Preparing data for TRACE
2. TRACE (CFD solver)
        Main computation
3. fillCGNS
        Conflating results
4. Post Processing
        Data reduction and
        visualization


   Automation with customized
   DataFinder


                                                                                                                                           Folie 39
                                   Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Turbine Simulation: Graphical User Interface




                                                                                                                               Folie 40
                       Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Turbine Simulation: Customized GUI Extensions
                                      1
                                                  2
1. Create new simulation
2. Start a simulation
3. Query status
                           3
4. Cancel simulation
5. Project overview
                      4

          5


                                  Customization based
                                  on user requirements!
                                                                                                                                   Folie 41
                           Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Turbine Simulation
Starting External Applications

1. CGNS Infos / ADFview / CGNS Plot
2. TRACE GUI
3. Gnuplot


                                                                                                            1




          2
                                                                 Integration with
                                                 3               other tools!
                                                                                                                                      Folie 42
                              Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Integration Platform and Workflow Management
Reconfigurable Computing Environment (RCE)




                                                                                                                              Folie 43
                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Beyond DataFinder…


Use cases for “lightweight” tools like DataFinder
   Simple recurring tasks
   Easy and fast customization (but “static” workflows!)
   Instant access to distributed storage resources
   Easy installation

Additional complexity requires more sophisticated systems
   Dynamic (large) workflows
   Complex configurable user interface
   Use of existing services




                                                                                                                                          Folie 44
                                  Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Reconfigurable Computing Environment (RCE)


The RCE general purpose integration platform
   Used to manage collaborative engineering processes
   Provision of commonly used software components
        Data management, graphical user interface, distributed computing,
        workflow component
   Concentration on the application specific software components

Developed as a service oriented software framework
   Using OSGi as service platform (for Java)
   Eclipse for graphical user interface




                                                                                                                                        Folie 45
                                Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
RCE Architecture


                                                                                                          Macro
                                                                                                                                            Notification
                                                                                                                     Config.

                       Ext. Code




                                                                                     Application Server
                                                                                                                                                               SOAP




                                                                                                                                               Communication
                                                                                                                                                               RMI




                                               Application




                                                                                                                       Privilege
                                   Wrapper




                                                                                                                                   Broker
                                                                                                              Data
         Application




                                                             GUI
                            …                                             …
     …                          Reconfigurable Computing Environment
                                         OSGi/Eclipse Equinox
                                             Java Virtual Machine


                                                                                                                                                                      Folie 46
                                                             Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
RCE
                                                                                               DB Server
      Distributed System




                                                                                                                                                                                                                  Communication
                                                                                                                                                                                                                                  SOAP




                                                                                                                                                       Applic. Server
                                                                                                                                                                                                                                   RMI




                                                                                                                                                                                   Privilege
                                                                                                                                                                                               Broker
                                                                                                                                                                          Data
                                                                                                                            Application
                                                                                                                                            …

                                                                                                                                                    RCE
GUI                                                                                                                                       OSGi/Eclipse Equinox
                                                                                                                                          Java Virtual Machine
                                                               Communication   SOAP
                  Applic. Server




                                                                                RMI
                                          Privilege
                                                      Broker
                                   Data
      GUI




              …
                                                                                                          Ext. Code
                    RCE




                                                                                                                                                                                                        Communication
                                                                                                                                                                                                                        SOAP




                                                                                                                                               Applic. Server
                                                                                                                        Simulation
            OSGi/Eclipse Equinox                                                                                                                                                                                         RMI




                                                                                                                                                                                 Privilege
                                                                                                                         Wrapper




                                                                                                                                                                                  Broker
                                                                                                                                                                        Data
            Java Virtual Machine

                                                                                                                                           …

                                                                                                                                                                RCE
                                                                                                                                    OSGi/Eclipse Equinox
                                                                                                                                    Java Virtual Machine                                                                           Simulation

               Desktop

                                                                                                                                                                                                                                         Folie 51
                                                                                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
GUI Example
Shipbuilding Industry




                                                                                                                                Folie 52
                        Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Use Cases at DLR
RCE as integration platform
IMENS (Multi disciplinary design of space re-entry vehicles)
   Simulation of hot structures
   RCE-based environment for coupled,
   distributed simulation in Grids

CEF (Concurrent Engineering Facility)
  Collaborative early design of space vehicles
  Mission planning
  Experts for all disciplines in one room
  RCE-based software infrastructure
  Reuse of existing Excel-spreadsheets

XPS4CFD (Expert System for CFD)


                                                                                                                                         Folie 54
                                 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Integration with Microsoft Excel


If you cannot avoid Excel:
    Solution 1: Use Excel, integrate interfaces to computational resources
    into Excel
    Solution 2: Integrate Excel into execution environment and
    workflow system

RCE-Excel-Integration
  Excel user interface integrated
                                                         Excel is nice!
  into RCE/Eclipse                                       It's ugly to use, but nice.
  Excel files stored in RCE data                         And in the end all data
  management
  Sharing data with other RCE                            ends in Excel.
                                                                                                                Hans Rosling
  components

                                                                                                                                          Folie 55
                                  Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Folie 56
Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Folie 57
Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Expert System for Aerospace Engineers
XPS4CFD




                                                                                                                              Folie 58
                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
XPS4CFD (1)
Expert System for Aerospace Engineers

  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 60
                               Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
XPS4CFD (2)
Expert System for Aerospace Engineers

  Combined with a Lucene search engine for finding relevant documents
  Easily maintainable and extensible by experts, not programmers
        Forms and graphical editors for adding, changing and deleting
        rules, workflows and documents
        Generators for automatic creation of the fact model and UI
        elements like interview-components




                                                                                                                                      Folie 61
                              Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Choosing and Planning a Scenario




                                                                                                                              Folie 62
                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Guiding Users Through a TAU Workflow (1)




                                                                                                                              Folie 63
                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Guiding Users Through a TAU Workflow (2)




                                                                                                                              Folie 64
                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Guiding Users Through a TAU Workflow (3)




                                                                                                                              Folie 65
                      Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Creating Rules




                                                                                                                         Folie 66
                 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Creating Forms




                                                                                                                         Folie 67
                 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Creating Workflows




                                                                                                                             Folie 68
                     Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Expert System
Additional Use Cases (related to space/aerospace)

Health monitoring
   Monitoring health status of
   astronauts and pilots
   Managing knowledge about
   irregular health parameters
   Send alarms

Astronaut assistance
   Assist astronauts in standard
   procedures and problem situations
   Configurable for all subsystems of
   space crafts



                                                                                                                                         Folie 69
                                 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Conclusion
Putting All Together…
                                                                   Expert
                                                                    Expert                               feedback analysis
User                                                               System
                                                                   System
   Shares Knowledge
   Uses Knowledge                                                           generate workflow

   Works with data
                                                               Data &
                                                               Data &
   Search meta data                                           Workflow
                                                                                                     trace                 Provenance
                                                              Workflow                               user
   Select resources                                          Management
                                                             Management                              action                   Store

                                                                            execute workflow
Software tools
                                                                                                                      trace
   Generate workflow description                                                                                      workflow
                                                                                                                      execution
   Executes workflows in Grids
   Record Provenance info



                                                                                                                                           Folie 70
                                   Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
Questions?




                                                                                                                     Folie 71
             Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008

More Related Content

Similar to Scientific Data and Knowledge Management in Aerospace Engineering

Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...
Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...
Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...IRJET Journal
 
SecureCloud - Concertation Meeting EUBrasilCloudFORUM
SecureCloud  - Concertation Meeting EUBrasilCloudFORUMSecureCloud  - Concertation Meeting EUBrasilCloudFORUM
SecureCloud - Concertation Meeting EUBrasilCloudFORUMEUBrasilCloudFORUM .
 
Google
GoogleGoogle
GoogleDVJ
 
Accelerating Media Business Developments, MPEG-M: MPEG Extensible Middleware
Accelerating Media Business Developments, MPEG-M: MPEG Extensible MiddlewareAccelerating Media Business Developments, MPEG-M: MPEG Extensible Middleware
Accelerating Media Business Developments, MPEG-M: MPEG Extensible MiddlewareAlpen-Adria-Universität
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesAlpen-Adria-Universität
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesAlpen-Adria-Universität
 
Microsoft Innovation Center Rapperswil
Microsoft Innovation Center Rapperswil Microsoft Innovation Center Rapperswil
Microsoft Innovation Center Rapperswil mictc
 
Qiang Yu Resume
Qiang Yu ResumeQiang Yu Resume
Qiang Yu ResumeQiang Yu
 
Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?
Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?
Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?Daniel Lehner
 
Working together with SURF Raymond Oonk Annette Langedijk SURF
Working together with SURF Raymond Oonk Annette Langedijk SURFWorking together with SURF Raymond Oonk Annette Langedijk SURF
Working together with SURF Raymond Oonk Annette Langedijk SURFCommunicatieSURF
 
Iisrt arshiya hesarur
Iisrt arshiya hesarurIisrt arshiya hesarur
Iisrt arshiya hesarurIISRT
 
Rep Presentation V4 13
Rep Presentation V4 13Rep Presentation V4 13
Rep Presentation V4 13lyndonroberts
 
Automatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPCAutomatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPCFacultad de Informática UCM
 
New Innovative Additive Manufacturing processes
New Innovative Additive Manufacturing processes New Innovative Additive Manufacturing processes
New Innovative Additive Manufacturing processes KTN
 
Airbus: Innovating the Future of Flight
Airbus: Innovating the Future of FlightAirbus: Innovating the Future of Flight
Airbus: Innovating the Future of Flightinside-BigData.com
 
[SiriusCon 2018] A Bird's Eye View on Eclipse Sirius
[SiriusCon 2018]  A Bird's Eye View on Eclipse Sirius[SiriusCon 2018]  A Bird's Eye View on Eclipse Sirius
[SiriusCon 2018] A Bird's Eye View on Eclipse SiriusObeo
 

Similar to Scientific Data and Knowledge Management in Aerospace Engineering (20)

AE8751 - Unit II.pdf
AE8751 - Unit II.pdfAE8751 - Unit II.pdf
AE8751 - Unit II.pdf
 
Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...
Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...
Artificial Intelligence Based Method for Obtaining Aerodynamic Characteristic...
 
SecureCloud - Concertation Meeting EUBrasilCloudFORUM
SecureCloud  - Concertation Meeting EUBrasilCloudFORUMSecureCloud  - Concertation Meeting EUBrasilCloudFORUM
SecureCloud - Concertation Meeting EUBrasilCloudFORUM
 
9. PA DIM presentation.pdf
9. PA DIM presentation.pdf9. PA DIM presentation.pdf
9. PA DIM presentation.pdf
 
Google
GoogleGoogle
Google
 
Accelerating Media Business Developments, MPEG-M: MPEG Extensible Middleware
Accelerating Media Business Developments, MPEG-M: MPEG Extensible MiddlewareAccelerating Media Business Developments, MPEG-M: MPEG Extensible Middleware
Accelerating Media Business Developments, MPEG-M: MPEG Extensible Middleware
 
IT6511 Networks Laboratory
IT6511 Networks LaboratoryIT6511 Networks Laboratory
IT6511 Networks Laboratory
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG Activities
 
Overview of Selected Current MPEG Activities
Overview of Selected Current MPEG ActivitiesOverview of Selected Current MPEG Activities
Overview of Selected Current MPEG Activities
 
Microsoft Innovation Center Rapperswil
Microsoft Innovation Center Rapperswil Microsoft Innovation Center Rapperswil
Microsoft Innovation Center Rapperswil
 
Qiang Yu Resume
Qiang Yu ResumeQiang Yu Resume
Qiang Yu Resume
 
Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?
Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?
Modeling Capabilities of Digital Twin Platforms: Old Wine in New Bottles?
 
Working together with SURF Raymond Oonk Annette Langedijk SURF
Working together with SURF Raymond Oonk Annette Langedijk SURFWorking together with SURF Raymond Oonk Annette Langedijk SURF
Working together with SURF Raymond Oonk Annette Langedijk SURF
 
Iisrt arshiya hesarur
Iisrt arshiya hesarurIisrt arshiya hesarur
Iisrt arshiya hesarur
 
Rep Presentation V4 13
Rep Presentation V4 13Rep Presentation V4 13
Rep Presentation V4 13
 
Automatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPCAutomatic generation of hardware memory architectures for HPC
Automatic generation of hardware memory architectures for HPC
 
Workshop8 18 12 09 Ingles
Workshop8   18 12 09 InglesWorkshop8   18 12 09 Ingles
Workshop8 18 12 09 Ingles
 
New Innovative Additive Manufacturing processes
New Innovative Additive Manufacturing processes New Innovative Additive Manufacturing processes
New Innovative Additive Manufacturing processes
 
Airbus: Innovating the Future of Flight
Airbus: Innovating the Future of FlightAirbus: Innovating the Future of Flight
Airbus: Innovating the Future of Flight
 
[SiriusCon 2018] A Bird's Eye View on Eclipse Sirius
[SiriusCon 2018]  A Bird's Eye View on Eclipse Sirius[SiriusCon 2018]  A Bird's Eye View on Eclipse Sirius
[SiriusCon 2018] A Bird's Eye View on Eclipse Sirius
 

More from Andreas Schreiber

Provenance-based Security Audits and its Application to COVID-19 Contact Trac...
Provenance-based Security Audits and its Application to COVID-19 Contact Trac...Provenance-based Security Audits and its Application to COVID-19 Contact Trac...
Provenance-based Security Audits and its Application to COVID-19 Contact Trac...Andreas Schreiber
 
Visualization of Software Architectures in Virtual Reality and Augmented Reality
Visualization of Software Architectures in Virtual Reality and Augmented RealityVisualization of Software Architectures in Virtual Reality and Augmented Reality
Visualization of Software Architectures in Virtual Reality and Augmented RealityAndreas Schreiber
 
Provenance as a building block for an open science infrastructure
Provenance as a building block for an open science infrastructureProvenance as a building block for an open science infrastructure
Provenance as a building block for an open science infrastructureAndreas Schreiber
 
Raising Awareness about Open Source Licensing at the German Aerospace Center
Raising Awareness about Open Source Licensing at the German Aerospace CenterRaising Awareness about Open Source Licensing at the German Aerospace Center
Raising Awareness about Open Source Licensing at the German Aerospace CenterAndreas Schreiber
 
Open Source Licensing for Rocket Scientists
Open Source Licensing for Rocket ScientistsOpen Source Licensing for Rocket Scientists
Open Source Licensing for Rocket ScientistsAndreas Schreiber
 
Interactive Visualization of Software Components with Virtual Reality Headsets
Interactive Visualization of Software Components with Virtual Reality HeadsetsInteractive Visualization of Software Components with Virtual Reality Headsets
Interactive Visualization of Software Components with Virtual Reality HeadsetsAndreas Schreiber
 
Provenance for Reproducible Data Science
Provenance for Reproducible Data ScienceProvenance for Reproducible Data Science
Provenance for Reproducible Data ScienceAndreas Schreiber
 
Visualizing Provenance using Comics
Visualizing Provenance using ComicsVisualizing Provenance using Comics
Visualizing Provenance using ComicsAndreas Schreiber
 
Nachvollziehbarkeit mit Hinblick auf Privacy-Verletzungen
Nachvollziehbarkeit mit Hinblick auf Privacy-VerletzungenNachvollziehbarkeit mit Hinblick auf Privacy-Verletzungen
Nachvollziehbarkeit mit Hinblick auf Privacy-VerletzungenAndreas Schreiber
 
Reproducible Science with Python
Reproducible Science with PythonReproducible Science with Python
Reproducible Science with PythonAndreas Schreiber
 
A Provenance Model for Quantified Self Data
A Provenance Model for Quantified Self DataA Provenance Model for Quantified Self Data
A Provenance Model for Quantified Self DataAndreas Schreiber
 
Tracking after Stroke: Doctors, Dogs and All The Rest
Tracking after Stroke: Doctors, Dogs and All The RestTracking after Stroke: Doctors, Dogs and All The Rest
Tracking after Stroke: Doctors, Dogs and All The RestAndreas Schreiber
 
High Throughput Processing of Space Debris Data
High Throughput Processing of Space Debris DataHigh Throughput Processing of Space Debris Data
High Throughput Processing of Space Debris DataAndreas Schreiber
 
Bericht von der QS15 Conference & Exposition
Bericht von der QS15 Conference & ExpositionBericht von der QS15 Conference & Exposition
Bericht von der QS15 Conference & ExpositionAndreas Schreiber
 
Telemedizin: Gesundheit, messbar für jedermann
Telemedizin: Gesundheit, messbar für jedermannTelemedizin: Gesundheit, messbar für jedermann
Telemedizin: Gesundheit, messbar für jedermannAndreas Schreiber
 
Quantified Self mit Wearable Devices und Smartphone-Sensoren
Quantified Self mit Wearable Devices und Smartphone-SensorenQuantified Self mit Wearable Devices und Smartphone-Sensoren
Quantified Self mit Wearable Devices und Smartphone-SensorenAndreas Schreiber
 
Example Blood Pressure Report of BloodPressureCompanion
Example Blood Pressure Report of BloodPressureCompanionExample Blood Pressure Report of BloodPressureCompanion
Example Blood Pressure Report of BloodPressureCompanionAndreas Schreiber
 

More from Andreas Schreiber (20)

Provenance-based Security Audits and its Application to COVID-19 Contact Trac...
Provenance-based Security Audits and its Application to COVID-19 Contact Trac...Provenance-based Security Audits and its Application to COVID-19 Contact Trac...
Provenance-based Security Audits and its Application to COVID-19 Contact Trac...
 
Visualization of Software Architectures in Virtual Reality and Augmented Reality
Visualization of Software Architectures in Virtual Reality and Augmented RealityVisualization of Software Architectures in Virtual Reality and Augmented Reality
Visualization of Software Architectures in Virtual Reality and Augmented Reality
 
Provenance as a building block for an open science infrastructure
Provenance as a building block for an open science infrastructureProvenance as a building block for an open science infrastructure
Provenance as a building block for an open science infrastructure
 
Raising Awareness about Open Source Licensing at the German Aerospace Center
Raising Awareness about Open Source Licensing at the German Aerospace CenterRaising Awareness about Open Source Licensing at the German Aerospace Center
Raising Awareness about Open Source Licensing at the German Aerospace Center
 
Open Source Licensing for Rocket Scientists
Open Source Licensing for Rocket ScientistsOpen Source Licensing for Rocket Scientists
Open Source Licensing for Rocket Scientists
 
Interactive Visualization of Software Components with Virtual Reality Headsets
Interactive Visualization of Software Components with Virtual Reality HeadsetsInteractive Visualization of Software Components with Virtual Reality Headsets
Interactive Visualization of Software Components with Virtual Reality Headsets
 
Provenance for Reproducible Data Science
Provenance for Reproducible Data ScienceProvenance for Reproducible Data Science
Provenance for Reproducible Data Science
 
Visualizing Provenance using Comics
Visualizing Provenance using ComicsVisualizing Provenance using Comics
Visualizing Provenance using Comics
 
Quantified Self Comics
Quantified Self ComicsQuantified Self Comics
Quantified Self Comics
 
Nachvollziehbarkeit mit Hinblick auf Privacy-Verletzungen
Nachvollziehbarkeit mit Hinblick auf Privacy-VerletzungenNachvollziehbarkeit mit Hinblick auf Privacy-Verletzungen
Nachvollziehbarkeit mit Hinblick auf Privacy-Verletzungen
 
Reproducible Science with Python
Reproducible Science with PythonReproducible Science with Python
Reproducible Science with Python
 
Python at Warp Speed
Python at Warp SpeedPython at Warp Speed
Python at Warp Speed
 
A Provenance Model for Quantified Self Data
A Provenance Model for Quantified Self DataA Provenance Model for Quantified Self Data
A Provenance Model for Quantified Self Data
 
Open Source im DLR
Open Source im DLROpen Source im DLR
Open Source im DLR
 
Tracking after Stroke: Doctors, Dogs and All The Rest
Tracking after Stroke: Doctors, Dogs and All The RestTracking after Stroke: Doctors, Dogs and All The Rest
Tracking after Stroke: Doctors, Dogs and All The Rest
 
High Throughput Processing of Space Debris Data
High Throughput Processing of Space Debris DataHigh Throughput Processing of Space Debris Data
High Throughput Processing of Space Debris Data
 
Bericht von der QS15 Conference & Exposition
Bericht von der QS15 Conference & ExpositionBericht von der QS15 Conference & Exposition
Bericht von der QS15 Conference & Exposition
 
Telemedizin: Gesundheit, messbar für jedermann
Telemedizin: Gesundheit, messbar für jedermannTelemedizin: Gesundheit, messbar für jedermann
Telemedizin: Gesundheit, messbar für jedermann
 
Quantified Self mit Wearable Devices und Smartphone-Sensoren
Quantified Self mit Wearable Devices und Smartphone-SensorenQuantified Self mit Wearable Devices und Smartphone-Sensoren
Quantified Self mit Wearable Devices und Smartphone-Sensoren
 
Example Blood Pressure Report of BloodPressureCompanion
Example Blood Pressure Report of BloodPressureCompanionExample Blood Pressure Report of BloodPressureCompanion
Example Blood Pressure Report of BloodPressureCompanion
 

Recently uploaded

UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Adtran
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureEric D. Schabell
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?IES VE
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXTarek Kalaji
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6DianaGray10
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1DianaGray10
 

Recently uploaded (20)

UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™Meet the new FSP 3000 M-Flex800™
Meet the new FSP 3000 M-Flex800™
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
OpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability AdventureOpenShift Commons Paris - Choose Your Own Observability Adventure
OpenShift Commons Paris - Choose Your Own Observability Adventure
 
How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?How Accurate are Carbon Emissions Projections?
How Accurate are Carbon Emissions Projections?
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
VoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBXVoIP Service and Marketing using Odoo and Asterisk PBX
VoIP Service and Marketing using Odoo and Asterisk PBX
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6
 
Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1Secure your environment with UiPath and CyberArk technologies - Session 1
Secure your environment with UiPath and CyberArk technologies - Session 1
 

Scientific Data and Knowledge Management in Aerospace Engineering

  • 1. Scientific Data and Knowledge Management in Aerospace Engineering Korea e-Science AHM 2008 (September 8th 2008, Daejeon) Andreas Schreiber <Andreas.Schreiber@dlr.de> German Aerospace Center (DLR), Cologne http://www.dlr.de/sc Folie 1 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 2. Outline German Aerospace Center (DLR) Introduction Excurse: DLR CFD Codes Grid Computing: D-Grid and AeroGrid Software Tools: DataFinder, RCE, and XPS4CFD Conclusion Folie 2 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 3. The DLR German Aerospace Research Center Space Agency of the Federal Republic of Germany Folie 3 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 4. Sites and employees 5,700 employees working Hamburg in 28 research institutes and Bremen- Neustrelitz facilities Trauen Berlin- Braunschweig at 13 sites. Göttingen Offices in Brussels, Paris and Washington. Köln Bonn Lampoldshausen Stuttgart Oberpfaffenhofen Weilheim Folie 4 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 5. Introduction Simulation in Aerospace and Avionics Designing new space and aerospace vehicles require high-resolution numerical simulation steps conducted in complex workflows The complete simulation of all flow phenomena throughout the entire flight envelope including the multidisciplinary simulation of all involved disciplines The multidisciplinary optimization of the overall aircraft design as well as the design of major parts, such as the turbine engines Involved disciplines: Aerodynamics – Structure – Heat – Flight mechanics – Radar & Infrared signature – Materials (physics/chemistry) – Combustion … Folie 5 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 6. Software Technology for Aerospace Simulations Numerical Codes and Supporting Tools Highly sophisticated and optimized numerical simulation codes For example, high-fidelity CFD codes Many codes available (free, commercial, proprietary) To major CFD codes of DLR TAU TRACE Simulation infrastructure and supporting tools Grid environments Data and workflows management tools Integrated Integrated Knowledge management ( documentation!) environments environments Preprocessing, post processing, visualization Folie 6 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 7. DLR CFD Codes Folie 7 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 8. DLR TAU Code Finite Volume CFD Solver Reynolds-averaged Navier-Stokes (RANS) code Steady and unsteady flow, hybrid grids State-of-the-Art turbulence models Adaptation module for local refinement Chimera method Completely parallelized (MPI) Used in European industry (Airbus, EADS) Contact: DLR Institute of Aerodynamics and Flow Technology http://www.dlr.de/as/case Folie 8 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 9. DLR TRACE Code Turbo machinery CFD TRACE: Turbo machinery Research Aerodynamics Computational Environment unsteady Reynolds-averaged Navier-Stokes (URANS) code Steady and unsteady flow (finite volumes) Hybrid multi block method Completely parallelized (MPI) Used in European industry (Siemens, MTU Aero Engines, Rolls Royce) Contact: DLR Institute of Propulsion Technology http://www.dlr.de/at Folie 9 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 10. Simulation Infrastructure Grid Computing in Germany – D-Grid Folie 10 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 11. German D-Grid Initiative Grid Infrastructure for e-Science Objectives Building a Grid Infrastructure for science and business in Germany Combine existing German grid activities Integration of middleware components developed in Community Grids Three components of the infrastructure Networks and associated tools Software layer for connecting tools and services Scientific information and knowledge Important aspects Continuing sustainable production grid infrastructure after the end of the funding period Integration of additional grid communities (2./3. generation) Business models for grid services Folie 11 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 12. D-Grid Projects Community Grid Projects User Services (Portals) PartnerGrid BauVOGrid Astro-Grid HEP-Grid MediGrid AeroGrid Business Services, SLAs, SOA Integration, Virtualization TextGrid WISENT C3-Grid In-Grid ●●● Knowledge Management Grid Middleware und Grid Services Integration Project Folie 13 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 13. General D-Grid Architecture User/Application Application development GAT API GridSphere and Plug-In user access Nutzer Scheduling Workflow Management higher Grid Monitoring Functions Datenmanagement LCG/gLite UNICORE Accounting Billing Base User/VO-Mngt services Globus Security Network- distributed distributed Data/ infrastructure data archives compute Software Resources Folie 14 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 14. Specifics of the D-Grid Architecture D-Grid supports three middleware and two data access protocols. Combines requirements of all communities. Goal: Support of all middleware systems by all resource providers Folie 15 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 15. D-Grid Infrastructure (2007) Folie 16 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 16. AeroGrid Project Folie 17 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 17. AeroGrid Project Data Grid-based cooperation between industry, research centres, and universities in aerospace engineering Runtime: April 1, 2007 – March 30, 2010 Website: http://www.aero-grid.de Folie 18 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 18. AeroGrid Use Cases and Project Goals Usage scenarios Use of computing resources via the AeroGrid Collaboration in designing engine components Co-operative further development of TRACE code Project goals Allow cooperation in research and development projects Use of up-to-date program versions, data, and compute resources across all locations Detailed documentation of history of a computational process that leads to a certain result (“Provenance”) Folie 21 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 19. Service-Provider A Service-Provider A WebDAV/ WebDAV/ Resources Resources AFS/SRB/ AFS/SRB/ Cooperation in AeroGrid GridFTP/… GridFTP/… UNICORE6 UNICORE6 Data/ Tools User User GridSphere GridSphere Meta data Data Data Server Server Code Code Management Management Developer Developer Tool Client Client Workflow Workflow Service* Service* CPU Resources Grid Interfaces Web Web Service-Provider B Service-Provider B Portal Portal Simulation Simulation Resources WebDAV/ WebDAV/ Resources User User AFS/SRB/ AFS/SRB/ GridFTP/… GridFTP/… UNICORE6 UNICORE6 Data/ Tools Workflow Workflow GridSphere GridSphere Meta data Client* Client* Server Server Workflow Workflow Service* Service* * Workflow service and client are not part of the project. CPU Resources They will be added for later user communities. ... Folie 22 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 20. Provenance Origin and Authenticity of Results Provenance of computational processes Recorded documentation of processes as they take place With this documentation, we can determine: the origin of electronic data and the compliance of the process that led to the data Definition of provenance The Provenance of some information is the history of its creation Related Terms “Data Lineage” is another word for Provenance Provenance is NOT “Logging” Folie 23 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 21. Provenance Example Queries Given some data item, what was the simulation case? Given some parameter, in what simulation(s) has it been used? What data has been recorded in a simulation with a specific parameter? What simulations have been run using a given model (aircraft design)? Given two/more simulations with the same setup, what is the result and the difference in provenance? What have been the initial conditions for this simulation? What were the termination criteria? How often has the workflow been executed? What specific algorithm/version has been used in computations? What were the hosts participating in the simulation run? Folie 24 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 22. Provenance Benefits for Aerospace Applications Clean documentation of distributed simulation workflows Ability to analyze and reason over all conducted computations Understanding of computations and their results Tool based support for analyses Allows checking for requirements Compliance to legal and business regulations Proof and reproducibility of results Folie 25 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 23. Example Provenance Information in Simulations Process d2 control File-Server m1 i0 c-4 c4 c1 c-1 d1 c2 c-2 c3 c-3 Pre- i1 Parameter i2 Simulation i4 Visualization Processing variation i3 Relationen: Interactions: - r0: i0 causes i1 Configuration State - r1: i1 causes i2 of the Actors - r2: i2 causes i3 Process flow - r3: i2 causes i4 Monitoring - r4: i3 causes i2 - r5: i2 causes m1 Data management - r6: i2 causes d1 - r7: i0 causes d2 Folie 27 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 24. AeroGrid User Interfaces Portal Web-basaed access Devlopment based on GridSphere Client applications Automation of recurring tasks Integration in existing working environments Folie 28 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 25. Data Management Client Software DataFinder Folie 29 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 26. DataFinder Short Overview DataFinder Efficient management of scientific and technical data Focus on huge data sets Development of the DataFinder by DLR Available as Open-Source-Software Primary functionality Structuring of data through assignment of meta information and self- defined data models Complex search mechanism to find data Flexible usage of heterogeneous storage resources Integration in the working environment Folie 30 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 27. DataFinder Uses Large-scale simulations aerodynamics material science climate … Measured data wind-tunnel experiments earth observations traffic data … Folie 31 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 28. DataFinder Overview Basic Concept Client-Server solution Based on open and stable standards, such as XML and WebDAV Extensive use of standard software components (open source / commercial), limited own development at client side Folie 32 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 29. DataFinder Mass Data Storage using “Data Stores“ Storage Logical View User Client Locations “Data Stores” External Medias Folie 34 (CD, DVD,…) Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 30. Data Structure Mapping of Organizational Data Structures Object Object (file) (collection) Relation File 1 Project Mega Code Ultra User Eddie Simulation I Key Value Project Mega Code Ultra User Eddie Key Value File 2 Project Mega Code Ultra User Eddie Project A Simulation II Key Value Project Mega Project Mega Code Ultra Code Ultra User Eddie User Eddie Key Value Key Value Experiment User Project Mega Project B Project Mega Project Code User Key Mega Ultra Eddie Value Code Ultra Code Ultra User Eddie User Eddie Key Value Key Value Attributes Project C Project Code User Key Mega Ultra Eddie Value (meta data) Folie 36 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 31. DataFinder in AeroGrid Turbine Simulation Folie 38 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 32. Turbine Simulation Data Model Simulation steps (example): 1. splitCGNS Preparing data for TRACE 2. TRACE (CFD solver) Main computation 3. fillCGNS Conflating results 4. Post Processing Data reduction and visualization Automation with customized DataFinder Folie 39 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 33. Turbine Simulation: Graphical User Interface Folie 40 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 34. Turbine Simulation: Customized GUI Extensions 1 2 1. Create new simulation 2. Start a simulation 3. Query status 3 4. Cancel simulation 5. Project overview 4 5 Customization based on user requirements! Folie 41 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 35. Turbine Simulation Starting External Applications 1. CGNS Infos / ADFview / CGNS Plot 2. TRACE GUI 3. Gnuplot 1 2 Integration with 3 other tools! Folie 42 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 36. Integration Platform and Workflow Management Reconfigurable Computing Environment (RCE) Folie 43 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 37. Beyond DataFinder… Use cases for “lightweight” tools like DataFinder Simple recurring tasks Easy and fast customization (but “static” workflows!) Instant access to distributed storage resources Easy installation Additional complexity requires more sophisticated systems Dynamic (large) workflows Complex configurable user interface Use of existing services Folie 44 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 38. Reconfigurable Computing Environment (RCE) The RCE general purpose integration platform Used to manage collaborative engineering processes Provision of commonly used software components Data management, graphical user interface, distributed computing, workflow component Concentration on the application specific software components Developed as a service oriented software framework Using OSGi as service platform (for Java) Eclipse for graphical user interface Folie 45 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 39. RCE Architecture Macro Notification Config. Ext. Code Application Server SOAP Communication RMI Application Privilege Wrapper Broker Data Application GUI … … … Reconfigurable Computing Environment OSGi/Eclipse Equinox Java Virtual Machine Folie 46 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 40. RCE DB Server Distributed System Communication SOAP Applic. Server RMI Privilege Broker Data Application … RCE GUI OSGi/Eclipse Equinox Java Virtual Machine Communication SOAP Applic. Server RMI Privilege Broker Data GUI … Ext. Code RCE Communication SOAP Applic. Server Simulation OSGi/Eclipse Equinox RMI Privilege Wrapper Broker Data Java Virtual Machine … RCE OSGi/Eclipse Equinox Java Virtual Machine Simulation Desktop Folie 51 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 41. GUI Example Shipbuilding Industry Folie 52 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 42. Use Cases at DLR RCE as integration platform IMENS (Multi disciplinary design of space re-entry vehicles) Simulation of hot structures RCE-based environment for coupled, distributed simulation in Grids CEF (Concurrent Engineering Facility) Collaborative early design of space vehicles Mission planning Experts for all disciplines in one room RCE-based software infrastructure Reuse of existing Excel-spreadsheets XPS4CFD (Expert System for CFD) Folie 54 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 43. Integration with Microsoft Excel If you cannot avoid Excel: Solution 1: Use Excel, integrate interfaces to computational resources into Excel Solution 2: Integrate Excel into execution environment and workflow system RCE-Excel-Integration Excel user interface integrated Excel is nice! into RCE/Eclipse It's ugly to use, but nice. Excel files stored in RCE data And in the end all data management Sharing data with other RCE ends in Excel. Hans Rosling components Folie 55 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 44. Folie 56 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 45. Folie 57 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 46. Expert System for Aerospace Engineers XPS4CFD Folie 58 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 47. XPS4CFD (1) Expert System for Aerospace Engineers 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 60 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 48. XPS4CFD (2) Expert System for Aerospace Engineers Combined with a Lucene search engine for finding relevant documents Easily maintainable and extensible by experts, not programmers Forms and graphical editors for adding, changing and deleting rules, workflows and documents Generators for automatic creation of the fact model and UI elements like interview-components Folie 61 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 49. Choosing and Planning a Scenario Folie 62 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 50. Guiding Users Through a TAU Workflow (1) Folie 63 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 51. Guiding Users Through a TAU Workflow (2) Folie 64 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 52. Guiding Users Through a TAU Workflow (3) Folie 65 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 53. Creating Rules Folie 66 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 54. Creating Forms Folie 67 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 55. Creating Workflows Folie 68 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 56. Expert System Additional Use Cases (related to space/aerospace) Health monitoring Monitoring health status of astronauts and pilots Managing knowledge about irregular health parameters Send alarms Astronaut assistance Assist astronauts in standard procedures and problem situations Configurable for all subsystems of space crafts Folie 69 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 57. Conclusion Putting All Together… Expert Expert feedback analysis User System System Shares Knowledge Uses Knowledge generate workflow Works with data Data & Data & Search meta data Workflow trace Provenance Workflow user Select resources Management Management action Store execute workflow Software tools trace Generate workflow description workflow execution Executes workflows in Grids Record Provenance info Folie 70 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008
  • 58. Questions? Folie 71 Korea e-Science AHM 2008 > Andreas Schreiber > Data and Knowledge Management in Aerospace Engineering > 08.09.2008