Presentation - SEDC Conference 2014
The Executable Model
Integration Bridge (EMIB):
An Integration of Descriptive and
Analytical Models
April 3rd , 2014
Tamara Valinoto
Systems Architect/Model Driven Engineering (MDE)
Community of Practice(CoP) Chair
tamara.valinoto@ngc.com
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Acknowledgements
• Co-Authors:
– Sola Olaode
– Jessica Carleton
• Previous Chair and Visionary
– Sean McGervey
2
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
What is Model Based Engineering?
MBE = MBSE + MDD + MBI&T
Framework
Collaboration
Support
MDE
MDE
COP
Model Based SE
COP
Descriptive
MBSE
MBI&T
Model Based I&T
Perf Verification
Model Driven
Development
Analytical
MBSW/
MBHW
(MDD)
3
3
Common MDE
Framework Views
Tools & Processes
Artifacts / Products
MBE includes Model-Based Systems Engineering,
Model Driven Development, and Model Based Integration and Test
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Why Model Based Engineering?
“One Fact, One Place”
4
4
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
What’s in a Name?
Different Kinds of Models for Different Purposes
Descriptive“Model” (as in “Model Airplane”)
Blueprints, Schematics, Diagrams…
Analytical “Model” (as in “Flight Model”)
Computational Models, Simulations…
5
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
What is EMIB?
Leveraging Phx Integration’s ModelCenter’s ® Out-ofthe-Box Integrations for MBSE
• Enables Integration of Individual
Analyses
– In-House Code
Descriptive
Models
Analytical
Models
– Commercial Programs
Requirements
• Analysis Server Client System
– Reside on Computer or
on Server
– UNIX or Windows XP/7
Platform
Parametric
Modeling
(SysML)
Cost
Bridge
Analysis
ModelCenter®
• Create & Manipulate Models
using drag and drop facility
• Performs Trade & Optimization
Studies, Probabilistic Analyses,
Design Snapshots
6
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Matlab ® /Excel
– Applications within MC
Artisan Studio®/DOORS®
– Excel
Specifying Your System’s KSAs Isn’t Enough!
How good is your design, and how do you know?
bdd [Package] Demo Radar
• Parametric models allow
engineers to specify how their
system’s attributes and
constraints are related to one
another
• System models can relate:
– KPPs/KSAs (e.g. size of the
aircraft engine), to…
– MOPs (e.g. maximum range
of aircraft per sortie), to…
– MOEs (e.g area under
surveillance per day)
«block»
Radar X
values
frequency : Hz = 5.6e9
loss : dB = 6.5
noiseFigure : dB = 3.0
11
1
1
«block»
Antenna
values
gain : dB = 45
mass : kg
1
1
1
1
«block»
Transmitter
values
mass : kg = 5
power : W = 1.5e6
1
«block»
Receiver
values
filterBandwidth : Hz = 5.0e6
mass : kg = 21
1
3
«block»
LRU
{Abstract}
2
7
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
«block»
Processor
1
controller
«block»
Controller
EMIB Facilitates Exploration of Design Space
Common Set of Data Drives Analysis for Refining Design
• With a tool-supported integrated
model, engineers can vary the design
and instantly see whether it will meet
requirements
• With the push of a button, KSAs,
KPPs, and other design constraints
can be sent from the system model in
ArtisanStudio ® to PHX
ModelCenter® for analysis
• Results from the analytical models
are then captured in the descriptive
model as updated values and
constraints for all the affected
technical measures
8
2
1
Key Parameters for
System are pulled from
Artisan into ModelCenter
ModelCenter orchestrates
analytical models to
generate trade study result
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Let’s Look at a Use Case to Analyze Impact of
Constrain Requirement Change
Nominal Activity Diagram
9
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Parametric Data Flow through Models
Internal Block Diagram
DOORS ®
(Performance
Requirement Model)
Microsoft Excel ®
(Cost Model)
Output
Cost
Constraints
Phx ModelCenter ®
Performance
Requirements
Output Target Cost/ Design
Constraints
Input Design
Parameters
Output Target Design
Constraints
Matlab ®
(Performance Model)
Output Target Design
Constraints
ArtisanStudio ®
(Parametric Model)
Microsoft Excel ®
(Dashboard Model)
Input Design
Parameters
10
Phx ModelCenter ® Plugin
ArtisanStudio ® Plugin
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Streamlined Analysis for Solution Exploration
Spreadsheet “Dashboard” Simplifies Analysis Workflow
bdd [Package] Beam-on-Target Analysis Context
«constraint»
Beam-on-Target Model
constraints
{function of beam-on-target model}
1
bot
«constraint»
EA Beam Pattern Model
constraints
{function of beam pattern model parameters}
parameters
Avg_SLL : Real
Az : Angle
BW_Ratio : Real
El : Angle
f_max : Frequency
f_per : Frequency
HPBW_Az : Angle
HPBW_El : Angle
nx : Real
ny : Real
Peak_SLL : Real
Scan_Loss : Real
1
1
1
«block»
Beam-on-Target Analysis
constraints
bot : Beam-on-Target Model
bpm : EA Beam Pattern Model
cue : ES Update Quality Model
rgpo : RGPO Model
sarm : Seeker Flyout Model
«block»
System Context
1
parts
systems ship : Ownship
skr : Seeker
1
1
bpm
1
1
1
1
cue
sarm
«constraint»
Seeker Flyout Model
Update Spreadsheet with Latest Design Parameters
Captured in Artisan Studio® System Model…
«constraint»
ES Update Quality Model
constraints
{function of seeker angle rate parameters}
parameters
Pos : Real
PosGoal : Real
PosSave : Real
constraints
{function of angular accuracy parameters}
parameters
EA_cue : EA Cue Data
1
… Then Run Your Analysis Using ModelCenter
to Execute the Collection of Integrated Matlab,
MathCAD, and Excel Analysis Models
rgpo
«constraint»
RGPO Model
constraints
{function of RGPO technique parameters}
parameters
MP : Real
PosGoal : Real
11
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Mockup of TPM Comparison Spreadsheet
“Analysis Model” Linked to Phx ModelCenter ®
TPM Comparison
Design Parameter
(from Artisan)
Range
Units
Constraint
Requirement
(from DOORS)
Nominal: 8.5
Range
Units
Pass / Fail
Lbs.
Pass
m^3
Fail
…
…
Minimum: 5.95
Minimum: 6.0
Weight_lbs
Objective: 9.0
Lbs.
Wt_lbs
Maximum: 10.2
Maximum: 10.0
Dist: Uniform
Dist: Uniform
Nominal: 2100.0
Minimum: 1350.0
Minimum: 1400.0
Size
Objective: 1695.0
m^3
Size
Maximum: 2000.0
Maximum: 1950.0
Dist: Gaussian
Dist: Gaussian
…
12
…
…
…
…
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Integrated Tool Suite for Robust Analysis
Descriptive Model Feeds Analytical Thru Bridge
par [block] Beam-on-Target Analysis: EA Beam Pattern Model
sewip : ES-EA Suite
ea : EA
Az : Real
Az : Real
El : Real
Avg_SLL : Real
El : Real
Peak_SLL : Real
f_max : Real
f_max : Real
Scan_Loss : Real
f_per : Real
bpm : EA Beam Pattern Model
f_per : Real
BW_Ratio : Real
HPBW_Az : Real
nx : Real
HPBW_El : Real
ny : Real
BW_Ratio : Real
nx : Real
ny : Real
bdd [Package] Beam-on-Target Analysis Context
«constraint»
Beam-on-Target Model
constraints
{function of beam-on-target model}
1
bot
«constraint»
EA Beam Pattern Model
constraints
{function of beam pattern model parameters}
parameters
Avg_SLL : Real
Az : Angle
BW_Ratio : Real
El : Angle
f_max : Frequency
f_per : Frequency
HPBW_Az : Angle
HPBW_El : Angle
nx : Real
ny : Real
Peak_SLL : Real
Scan_Loss : Real
1
1
1
«block»
Beam-on-Target Analysis
constraints
bot : Beam-on-Target Model
bpm : EA Beam Pattern Model
cue : ES Update Quality Model
rgpo : RGPO Model
sarm : Seeker Flyout Model
«block»
System Context
1
parts
systems ship : Ownship
skr : Seeker
1
1
bpm
1
1
1
1
cue
sarm
«constraint»
ES Update Quality Model
«constraint»
Seeker Flyout Model
constraints
{function of seeker angle rate parameters}
parameters
Pos : Real
PosGoal : Real
PosSave : Real
constraints
{function of angular accuracy parameters}
parameters
EA_cue : EA Cue Data
1
rgpo
«constraint»
RGPO Model
constraints
{function of RGPO technique parameters}
parameters
MP : Real
PosGoal : Real
Heterogeneous set of analytical models driven by a single design database
13
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Visualization of the Solution Space
ModelCenter Provides Unparalleled View of Output Data
Quickly see how much impact various system
design parameters have on key technical measures
MOE
14
KPPs
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Path Forward: Incorporate RF, Signal Processing,
Firmware, and Software Analytical Models
15
Brings System Simulation into Alignment with MBE/MDE
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Capabilities are now available with Modelcenter®
Phoenix Integration MBSE Pak and MBSE Analyzer
16
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Abstract
The automated integration of descriptive models and analytical models has been sought by the
systems engineering community to manage the effects of requirements change to reduce defects,
cost, and schedule. The Executable Model Integration Bridge (EMIB) demonstrates that objective
through the integration of requirements in IBM Rational DOORS® traced to architectures in Atego
Artisan Studio® with design parameters that affect cost values in cost tools built in Microsoft Excel®,
and performance analyses in MATLAB® models via a central automation and integration tool (Phoenix
Integration ModelCenter®). Through EMIB, we can analyze the impact of changes to constraint
requirements by developing descriptive models in Systems Modeling Language (SysML) with links to
the system performance requirements. The descriptive model contains behavioral views that capture
the flow of system and actor behavior required to satisfy the requirements, structural views to depict
the elements of the system as blocks with current design and constraint values, and parametric views
to capture the relationships between system element blocks and constraint elements. This integrated
approach allows us to ingest the design values from an analytical tool (MATLAB®) into a descriptive
tool (Atego Artisan Studio®) to provide early validation that the input (given) and output (target) design
values are within the allowed ranges imposed by the constraint values (i.e. requirements). To
demonstrate this functionality, a simple, top-level radar model was contrived and implemented
whereby cost and performance results associated with material choices can be evaluated against
customer specifications for emplacement/displacement times, weight, power, cost, and antenna
performance in the descriptive model. An interactive model to achieve the aforementioned objectives
was realized.
18
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
Backup
19
Acronym List
20
• EMIB:
Executable Model Integration Bridge
• KPP:
Key Performance Parameter
• KSA:
Key System Attribute
• MOE:
Measure of Effectiveness
• MOP:
Measure of Performance
• SWAP:
Size, Weight, and Power
• SysML:
Systems Modeling Language
• TPM:
Technical Performance Measure
• UML:
Unified Modeling Language
Copyright © 2014 Tamara Valinoto, Published and used by SEDC and affiliated societies with permission.
© Copyright 2024