MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

Simulation for Multi-Decadal Projects(Constellation)

Bill OthonMike Conroy/Rebecca Mazzone (February 2010)

And Many others before (Monell/George/Adams/Boyce)

Used with Permission

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amWho Are We?

• Mike Conroy– Manager, Constellation, SE&I, SAVIO, Software SIG,

Modeling and Simulation Team (MaST)– Used to:

• Lead CxP Data Presentation and Visualization (until Feb, ‘09)• Lead Kennedy Operations Simulation• Office of Chief Engineer Engineering Processes Team (ISE)

– Several other 3 letter words as well

• Rebecca (Bec) Mazzone– Manager, Constellation, SE&I, SAVIO, Software SIG,

MaST, Data Presentation and Visualization (DPV)– Used to:

• Lead Distributed Observer Network Project within DPV

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amOur Time Lines…

• Apollo First Lunar Launch– Mike was there– No Bec Yet

• Shuttle STS-1– Mike was in college, trying to be a NASA Co Op– Still No Bec, Getting Close

• Constellation– Mike will be gone before first Moon Launch– Bec will retire before Constellation does.– This is by far the most complex System of Systems

• Technology, Organization, Interfaces, Tools, Partners

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

One Problem

Products Outlive People, Teams, Tools, Organizations and

Programs

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amProblem Detail…

• CxP is made up of multiple Projects.

• These Projects are in various Lifecycle Phases.– Some have hardware being built today, some will not

produce systems for years

• These Projects need to be able to work together for at least the next 50 years. – Multiple generations of humans, teams, programs,

partners and tools.– They need to share to be successful

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amImportant Elements to Share/Save

• Share and Save the KIDS– Knowledge – Decisions, Experiences, Expertise– Information – Reports, Recommendations, Rationale– Data – Numbers, Pictures, Models, Equations– Sets – From various CxP and partner teams.

• The Knowledge part is really hard– It is in peoples heads; they are rather attached to them

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amWhere do we start

• Understand the KIDS– What do they look like– Where to they live– How do they play with each other– How do we make it easier for new KIDS to play too– How do we protect them from each other (IP Issues)– How do we best preserve them for the future

• Today we would like to share the MaST approach

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

MaST Approach

Views on KIDSSteps TakenExamples

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amMaST View of Knowledge

• It is created through experiences .– What did they look at? How did they use it?– Who was involved? What did they learn?– What did they know when they started? – What tools did they use? When? Which Versions?

What Inputs?• It lives in the people involved in the experience.

– The test team, the analysis team, the decision makers• It is by far the hardest component to manage.

– It is very often based on “Being There”– Everyone cannot “Be There”, some are not born yet

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amMaST View on Information

• It is distilled from the data provided by the tools. – Analysis Results– Recommendations – Supporting Rationale– Risk Assessments

• It lives in the documentation provided by the process and the associated CM systems– Test Results, Test Reports, Presentations– These tools have demonstrated their ability to publish

their information for use by others

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amMaST View on Data

• Data comes from tools being used– Pro-E for the flight vehicles– Arena and Extend for the integrated supply chains– Delmia for the integrated process analysis– IMSim (Trick) for integrated flight simulations– ScramNET for Launch Vehicle dynamics

• Data lives in the files and CM systems– DDMS(s), Common Model Library(s), WIKI(s)– These tools can publish data for use in other systems.– Note: This is usually where Intellectual Property (IP)

issues show up.

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

The Path Taken

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amMaST Goal

• Make it Possible, then Easy, then Desirable to use our capabilities.– Seek out the obstacles and replace them with well

planned solutions that address lifecycle needs for as many people as possible.

– Make solutions so efficient and effective that they help from day one.

– Make people, teams and projects part of the solution.• Recognize that our Leadership has Priorities

– Bask in the glow of successes for something like 45 seconds before starting work on our next success

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amInvestigate Prior Work for Tools

• Copy or Adopt is easier than both buy and build.– National Research Council– Center Simulation Tools– Conferences, Workshops, Research, DoD– OCE Engineering Process Initiatives (3 letter words)

• Some of this work is in Constellation Today– HLA for Simulation to Simulation communication

• Foundation for IMSim– Delmia for Process Development

• In use by Ground Ops and Ares, rumored for Orion– Shared Visualization Environments

• Foundations for Data Presentation and Visualization

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amFind Where the KIDS Live

• Look at a sample of Constellation Tools– Where are KIDS stored, how do they flow in CxP? – Identify how to get them out, or at least get access?– Normalize so others can see if their KIDS can play

• We noticed some tool/location groupings– Some KIDS live in Physics Based Tools

• System State Information, Structural Information

– Some KIDS live in Physical Environment Tools• Temporal / Spatial Information

– Some KIDS also live in Supply Chain Tools• What you need when you need it (Next PM Challenge)

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

Physics Based KIDS

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amPhysics - System State Information

• Primarily related to the Flight activities– Launch Preparations, Flight and Post Flight– Start with Guidance, Navigation and Control – Extend to Flight Dynamics as needed– Extend wherever else is needed.

• Physics Based Description of Motion– Physics Based Launch, Ascent, Dock, Entry, Descent,

Landing, Recovery, Retrieval– Couple with High Resolution Graphics For Human in

the Loop Test and Evaluation

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amFor the Physics Example…

• Take Ares, Orion, Ground Ops, LAS and ISS – Teach the KIDS to talk to one another

• MAVERIC and ANTARES on Flight Side• Ground Operations Simulation• LAS Simulation and ISS Simulation

– Provide infrastructure to let People and Simulations talk to one another

• High Level Architecture, Trick, DS Net, DON

– Provide the ability to share the new KIDS created with existing and future generations

• Let us show you how it works…

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amAres 1 Launch (IMSim)

LASOrion

Ares

GO

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amUS / Orion Stage Separation (IMSim)

OrionAres

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amOrion to ISS Docking (IMSim)

Orion

ISS

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amDistributed Review and Storage (DPV)

DPV Users

IMSim States

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

Physical Environment KIDS

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amPhysical – Temporal Spatial Info.

• Primarily related to the Ground Ops activities– Operability Assessments and Optimization – Systems Integration– Launch Pads, Boosters, Vehicle, Access Platforms– Work Stands, Crane Envelopes– Human Factors, Reach, Loads

• Note: there is more than one type of Ground…– Lunar Architectures– Surface Systems (Lunar, non-Lunar)– Surface Concepts

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amFor The Physical Example

• Ground Ops Pulls KIDS together– CAD, Concepts, Models and Processes from Orion,

Ares, Ground Systems (includes Legacy Data)• Ground Ops integrates in Delmia (with IT)

– All data pulled into one environment– Some data sets so big cannot be loaded anywhere

else, teams come to Kennedy to see their data• MaST supporting export of KIDS from Delmia

collaborative engineering efforts to share, store and preserve.

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amOJIVE Panel Study (Delmia)

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amDELMIA OJIVE Export to DPV

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amOJIVE HF Detail (Delmia)

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amOJIVE Delmia HF Detail (DPV)

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amAres 1X, Sep Analysis Integration (DPV)

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amGO Orion Processing Sim (Delmia)

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amLunar Architecture Concepts (DPV)

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

Find How the KIDS PlayPreserve the KIDS for the Future

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am 3. MaST Publishes Models and/or Data Sets

5. Simulation Result(s) to IS for CM/DM

2. MaST Shares across Projects with IMSim, DPV and/or DES.

4. Analysis Teams Use Data, Apply Expertise, Iterate, Create Models and Data

How KIDS Play

Page 34

IMSim

DPV

DES

ThirdAnalysis

First Analysis

Fourth Analysis

1. Someone provides initial authoritative simulation or source data

SME

Validate Against Flight

I amSAM

* Strong possibility related to MSDB and CML

Monte-Carlo, RF, SME, Com,

DES, IMSim, Internal Sims, Trajectory, Process, Abort,

& Off Nom, DPV,other Analysis

Sim

Dat

a

CM and DM with IS* (still need to tell IS)

Second Analysis

NeXIOMInterop.

Data

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amPreserve KIDS for the Future

• Standard IS and ICE Systems– Getting more and more services every day– Well tuned for Data and Information– Knowledge is a little different

• On the Knowledge Side, you need to be able to re-experience the learning process– Since much of what we are doing is simulation, this

means re-experience the simulation that helped develop the Knowledge.

– However, simulations have a 3 to 5 year lifespan– But, if we can save the Simulation……

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amSave the Simulation

• This is a Key Mission for the MaST DPV (Data Presentation and Visualization) Element.– Simulators provide a description of the 4-D data that

represents the simulation used to make decisions. • Can also provide key measurements and images for display• Will soon be able to provide relevant Meta-Data

• The Simulation can be replayed for team, analysis or after long term storage– Without need for the simulation infrastructure

• Goal is to be able to do this forever– We have already started

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amIMSim/Delmia Simulation and DPV

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

amConclusions

• Maybe the S is really Simulation– Knowledge– Information– Data– Simulations

• MaST is a small part of how Constellation is dealing with multi-decadal issues. – There are many others.

• What we presented is alive and at work today– There is more we did not have time to present. – We will get that next time.

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

Questions?

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

Back Up Deck

MaS

T –

CxP

Mod

elin

g an

d Si

mul

atio

n Te

am

41

M&S and the System Lifecycle

DPV IMSimDES SAM

Subjective Assessments• QFD• AHP• System Engineering Tools

Constructive Assessments• Cost – Complete Life-Cycle• Risk – Flight, Development, RMS• Conceptual / Prelim Engineering

Performance Capabilities

Operator in the Loop Assessments• Ground• Flight Sims• Crew• Data Rich Simulation & Visual

Hardware- and Software-in-the-LoopAssessments

• Test Program Def & Refinement• Hardware & Software Testing• System Integration Modeling

In Service Operations Assessments• Operations Ramp-up Ramp-down• Upgrades and Improvements• Anomaly Resolution

Test

Operati

ons

ManagementSystems Engineers

Systems EngineersSystem AnalystsOperators

Systems EngineersSystem AnalystsOperatorsDesignersManufacturers

Systems EngineersOperatorsDesignersManufacturersTest and Verification

Trades

Design

Analysis, Modeling and Simulation support evolves throughout the system’s development life cycle, supporting a wide range of customers

Subjective Assessments• QFD• AHP• System Engineering Tools

Constructive Assessments• Cost – Complete Life-Cycle• Risk – Flight, Development, RMS• Conceptual / Prelim Engineering

Performance Capabilities

Operator in the Loop Assessments• Ground• Flight Sims• Crew• Data Rich Simulation & Visual

Hardware- and Software-in-the-LoopAssessments

• Test Program Def & Refinement• Hardware & Software Testing• System Integration Modeling

In Service Operations Assessments• Operations Ramp-up Ramp-down• Upgrades and Improvements• Anomaly Resolution

Test

Operati

ons

ManagementSystems Engineers

Systems EngineersSystem AnalystsOperators

Systems EngineersSystem AnalystsOperatorsDesignersManufacturers

Systems EngineersOperatorsDesignersManufacturersTest and Verification

Trades

Design

Analysis, Modeling and Simulation support evolves throughout the system’s development life cycle, supporting a wide range of customers

DPV IMSimDES SAM

DPV IMSimDES SAM

DPV IMSimDES SAM

DPV IMSimDES SAM

HeavyUse

In Dev.

HeavyUse

In Dev.