1. MaST β CxP Modeling and Simulation Team
Simulation for Multi-Decadal Projects
(Constellation)
Bill Othon
Mike Conroy/Rebecca Mazzone (February 2010)
And Many others before (Monell/George/Adams/Boyce)
Used with Permission
2. Who Are We?
β’ Mike Conroy
MaST β CxP Modeling and Simulation Team
β Manager, Constellation, SE&I, SAVIO, Software SIG,
Modeling and Simulation Team (MaST)
β Used to:
β’ Lead CxP Data Presentation and Visualization (until Feb, β09)
β’ Lead Kennedy Operations Simulation
β’ Office of Chief Engineer Engineering Processes Team (ISE)
β Several other 3 letter words as well
β’ Rebecca (Bec) Mazzone
β Manager, Constellation, SE&I, SAVIO, Software SIG,
MaST, Data Presentation and Visualization (DPV)
β Used to:
β’ Lead Distributed Observer Network Project within DPV
3. Our Time Linesβ¦
β’ Apollo First Lunar Launch
MaST β CxP Modeling and Simulation Team
β Mike was there
β No Bec Yet
β’ Shuttle STS-1
β Mike was in college, trying to be a NASA Co Op
β Still No Bec, Getting Close
β’ Constellation
β Mike will be gone before first Moon Launch
β Bec will retire before Constellation does.
β This is by far the most complex System of Systems
β’ Technology, Organization, Interfaces, Tools, Partners
4. MaST β CxP Modeling and Simulation Team
One Problem
Products Outlive People, Teams,
Tools, Organizations and
Programs
5. Problem Detailβ¦
β’ CxP is made up of multiple Projects.
MaST β CxP Modeling and Simulation Team
β’ These Projects are in various Lifecycle Phases.
β Some have hardware being built today, some will not
produce systems for years
β’ These Projects need to be able to work together
for at least the next 50 years.
β Multiple generations of humans, teams, programs,
partners and tools.
β They need to share to be successful
6. Important Elements to Share/Save
β’ Share and Save the KIDS
MaST β CxP Modeling and Simulation Team
β Knowledge β Decisions, Experiences, Expertise
β Information β Reports, Recommendations, Rationale
β Data β Numbers, Pictures, Models, Equations
β Sets β From various CxP and partner teams.
β’ The Knowledge part is really hard
β It is in peoples heads; they are rather attached to them
7. Where do we start
β’ Understand the KIDS
MaST β CxP Modeling and Simulation Team
β What do they look like
β Where to they live
β How do they play with each other
β How do we make it easier for new KIDS to play too
β How do we protect them from each other (IP Issues)
β How do we best preserve them for the future
β’ Today we would like to share the MaST approach
8. MaST β CxP Modeling and Simulation Team
MaST Approach
Views on KIDS
Steps Taken
Examples
9. MaST View of Knowledge
β’ It is created through experiences .
MaST β CxP Modeling and Simulation Team
β What did they look at? How did they use it?
β Who was involved? What did they learn?
β What did they know when they started?
β What tools did they use? When? Which Versions?
What Inputs?
β’ It lives in the people involved in the experience.
β The test team, the analysis team, the decision makers
β’ It is by far the hardest component to manage.
β It is very often based on βBeing Thereβ
β Everyone cannot βBe Thereβ, some are not born yet
10. MaST View on Information
β’ It is distilled from the data provided by the tools.
MaST β CxP Modeling and Simulation Team
β Analysis Results
β Recommendations
β Supporting Rationale
β Risk Assessments
β’ It lives in the documentation provided by the
process and the associated CM systems
β Test Results, Test Reports, Presentations
β These tools have demonstrated their ability to publish
their information for use by others
11. MaST View on Data
β’ Data comes from tools being used
MaST β CxP Modeling and Simulation Team
β Pro-E for the flight vehicles
β Arena and Extend for the integrated supply chains
β Delmia for the integrated process analysis
β IMSim (Trick) for integrated flight simulations
β ScramNET for Launch Vehicle dynamics
β’ Data lives in the files and CM systems
β DDMS(s), Common Model Library(s), WIKI(s)
β These tools can publish data for use in other systems.
β Note: This is usually where Intellectual Property (IP)
issues show up.
12. MaST β CxP Modeling and Simulation Team
The Path Taken
13. MaST Goal
β’ Make it Possible, then Easy, then Desirable to
use our capabilities.
MaST β CxP Modeling and Simulation Team
β Seek out the obstacles and replace them with well
planned solutions that address lifecycle needs for as
many people as possible.
β Make solutions so efficient and effective that they help
from day one.
β Make people, teams and projects part of the solution.
β’ Recognize that our Leadership has Priorities
β Bask in the glow of successes for something like 45
seconds before starting work on our next success
14. Investigate Prior Work for Tools
β’ Copy or Adopt is easier than both buy and build.
β National Research Council
MaST β CxP Modeling and Simulation Team
β Center Simulation Tools
β Conferences, Workshops, Research, DoD
β OCE Engineering Process Initiatives (3 letter words)
β’ Some of this work is in Constellation Today
β HLA for Simulation to Simulation communication
β’ Foundation for IMSim
β Delmia for Process Development
β’ In use by Ground Ops and Ares, rumored for Orion
β Shared Visualization Environments
β’ Foundations for Data Presentation and Visualization
15. Find Where the KIDS Live
β’ Look at a sample of Constellation Tools
MaST β CxP Modeling and Simulation Team
β Where are KIDS stored, how do they flow in CxP?
β Identify how to get them out, or at least get access?
β Normalize so others can see if their KIDS can play
β’ We noticed some tool/location groupings
β Some KIDS live in Physics Based Tools
β’ System State Information, Structural Information
β Some KIDS live in Physical Environment Tools
β’ Temporal / Spatial Information
β Some KIDS also live in Supply Chain Tools
β’ What you need when you need it (Next PM Challenge)
16. MaST β CxP Modeling and Simulation Team
Physics Based KIDS
17. Physics - System State Information
β’ Primarily related to the Flight activities
MaST β CxP Modeling and Simulation Team
β Launch Preparations, Flight and Post Flight
β Start with Guidance, Navigation and Control
β Extend to Flight Dynamics as needed
β Extend wherever else is needed.
β’ Physics Based Description of Motion
β Physics Based Launch, Ascent, Dock, Entry, Descent,
Landing, Recovery, Retrieval
β Couple with High Resolution Graphics For Human in
the Loop Test and Evaluation
18. For the Physics Exampleβ¦
β’ Take Ares, Orion, Ground Ops, LAS and ISS
MaST β CxP Modeling and Simulation Team
β Teach the KIDS to talk to one another
β’ MAVERIC and ANTARES on Flight Side
β’ Ground Operations Simulation
β’ LAS Simulation and ISS Simulation
β Provide infrastructure to let People and Simulations
talk to one another
β’ High Level Architecture, Trick, DS Net, DON
β Provide the ability to share the new KIDS created with
existing and future generations
β’ Let us show you how it worksβ¦
19. MaST β CxP Modeling and Simulation Team
LAS
Ares 1 Launch (IMSim)
GO
Ares
Orion
20. US / Orion Stage Separation (IMSim)
MaST β CxP Modeling and Simulation Team
Ares Orion
21. MaST β CxP Modeling and Simulation Team
Orion
Orion to ISS Docking (IMSim)
ISS
22. Distributed Review and Storage (DPV)
IMSim
MaST β CxP Modeling and Simulation Team
States
DPV
Users
23. MaST β CxP Modeling and Simulation Team
Physical Environment KIDS
24. Physical β Temporal Spatial Info.
β’ Primarily related to the Ground Ops activities
MaST β CxP Modeling and Simulation Team
β Operability Assessments and Optimization
β Systems Integration
β Launch Pads, Boosters, Vehicle, Access Platforms
β Work Stands, Crane Envelopes
β Human Factors, Reach, Loads
β’ Note: there is more than one type of Groundβ¦
β Lunar Architectures
β Surface Systems (Lunar, non-Lunar)
β Surface Concepts
25. For The Physical Example
β’ Ground Ops Pulls KIDS together
MaST β CxP Modeling and Simulation Team
β CAD, Concepts, Models and Processes from Orion,
Ares, Ground Systems (includes Legacy Data)
β’ Ground Ops integrates in Delmia (with IT)
β All data pulled into one environment
β Some data sets so big cannot be loaded anywhere
else, teams come to Kennedy to see their data
β’ MaST supporting export of KIDS from Delmia
collaborative engineering efforts to share, store
and preserve.
26. MaST β CxP Modeling and Simulation Team
OJIVE Panel Study (Delmia)
27. MaST β CxP Modeling and Simulation Team
DELMIA OJIVE Export to DPV
28. MaST β CxP Modeling and Simulation Team
OJIVE HF Detail (Delmia)
29. MaST β CxP Modeling and Simulation Team
OJIVE Delmia HF Detail (DPV)
30. Ares 1X, Sep Analysis Integration (DPV)
MaST β CxP Modeling and Simulation Team
31. MaST β CxP Modeling and Simulation Team
GO Orion Processing Sim (Delmia)
32. MaST β CxP Modeling and Simulation Team
Lunar Architecture Concepts (DPV)
33. MaST β CxP Modeling and Simulation Team
Find How the KIDS Play
Preserve the KIDS for the Future
34. How KIDS Play
I am
SAM
1. Someone provides initial authoritative simulation or source data
MaST β CxP Modeling and Simulation Team
2. MaST Shares SME 3. MaST Publishes Models
across Projects and/or Data Sets
with IMSim, Monte-Carlo,
4. Analysis Teams Use Data,
DPV and/or RF, SME, Com,
DES Apply Expertise, Iterate, DES, IMSim,
DES. Internal Sims,
Create Models and Data Trajectory,
First Process, Abort,
DPV Analysis Second & Off Nom, DPV,
Analysis other Analysis
Third
IM Analysis Fourth
Sim Analysis
Sim Data
NeXIOM
Interop.
5. Simulation Data
Result(s) to CM and DM with IS* (still need to tell IS)
IS for
CM/DM Validate Against Flight
Page 34
* Strong possibility related to MSDB and CML
35. Preserve KIDS for the Future
β’ Standard IS and ICE Systems
MaST β CxP Modeling and Simulation Team
β Getting more and more services every day
β Well tuned for Data and Information
β Knowledge is a little different
β’ On the Knowledge Side, you need to be able to
re-experience the learning process
β Since much of what we are doing is simulation, this
means re-experience the simulation that helped
develop the Knowledge.
β However, simulations have a 3 to 5 year lifespan
β But, if we can save the Simulationβ¦β¦
36. Save the Simulation
β’ This is a Key Mission for the MaST DPV (Data
Presentation and Visualization) Element.
MaST β CxP Modeling and Simulation Team
β Simulators provide a description of the 4-D data that
represents the simulation used to make decisions.
β’ Can also provide key measurements and images for display
β’ Will soon be able to provide relevant Meta-Data
β’ The Simulation can be replayed for team,
analysis or after long term storage
β Without need for the simulation infrastructure
β’ Goal is to be able to do this forever
β We have already started
37. MaST β CxP Modeling and Simulation Team
IMSim/Delmia Simulation and DPV
38. Conclusions
β’ Maybe the S is really Simulation
MaST β CxP Modeling and Simulation Team
β Knowledge
β Information
β Data
β Simulations
β’ MaST is a small part of how Constellation is
dealing with multi-decadal issues.
β There are many others.
β’ What we presented is alive and at work today
β There is more we did not have time to present.
β We will get that next time.
39. MaST β CxP Modeling and Simulation Team
Questions?
40. MaST β CxP Modeling and Simulation Team
Back Up Deck
41. M&S and the System Lifecycle
MaST β CxP Modeling and Simulation Team
Subjective Assessments Management DPV IMSim
s
β’ QFD Systems Engineers
ra
de DES SAM
β’ AHP T
β’ System Engineering Tools
Systems Engineers
System Analysts
Constructive Assessments Operators DPV IMSim
β’ Cost β Complete Life-Cycle ign DES SAM
β’ Risk β Flight, Development, RMS Des
β’ Conceptual / Prelim Engineering Systems Engineers In Heavy
Performance Capabilities System Analysts Dev. Use
Operators
Designers
Operator in the Loop Assessments Manufacturers
β’ Ground st DPV IMSim
β’ Flight Sims Te DES SAM
β’ Crew
β’ Data Rich Simulation & Visual
Systems Engineers
Operators
Designers
Hardware- and Software-in-the-Loop Manufacturers DPV IMSim
Assessments
β’ Test Program Def & Refinement
Test and Verification
DES SAM
Analysis, Modeling and β’ Hardware & Software Testing
Simulation support β’ System Integration Modeling
ns
evolves throughout the tio
systemβs development ra
life cycle, supporting a Op
e DPV IMSim
DES SAM
In Service Operations Assessments
wide range of β’ Operations Ramp-up Ramp-down
customers β’ Upgrades and Improvements
β’ Anomaly Resolution
41