Más contenido relacionado La actualidad más candente (20) Similar a Innovating in simulation architectures for Naval Warfare Training & Simulation (20) Innovating in simulation architectures for Naval Warfare Training & Simulation1. Innovating in simulation
architectures for Naval Warfare
Training & Simulation
[ APLICATIONS OF SIMWARE FOR THE NAVY ]
José Carlos Díaz
International Sales Manager
jcdiaz@nads.es
NATO CAX FORUM, Rome(IT), Sept. 2012
2. 2
Fleet Synthetic Training
Our findings about the current situation
of Distributed Simulation in the Navy
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3. 3
Training in the Navy
Custom Training Cycles for each allied Fleet
Diferent types of training
Doctrine
– Basic
– Intermediate
– Advanced
Levels US IDTC scheme. © RAND Corporation
– Unit Force
– Battle Group
– Force
Training place
– Ships At-sea
– Ships Pierside Group
– Shore-based
Readiness assesments
Unit
Repeatable exercises
Equivalences
Joint and Coalition
Integration
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4. 4
Drivers to Fleet Synthetic Training
Training At-Sea Stoppers:
Encroachment
Readiness
Environmental issues
Weapons Effects
Distance Between Home Ports
Cost of Fuel Restrictions to Training
Training Technology Possibilities:
Train Any Time in Any Place
Readiness
Employ all weapons
Practice Then Prove
Overcome tyranny of distance
Realistic OPFOR
Training Technology
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5. 5
Potential cost savings
In-port simulation can save a lot of money:
Fuel “Operation Brimstone is estimated to cost
Utility about $750,000. To run a comparable live
Manpower exercise could run around $50 million.”
Range service and maintenance Excerpt from National Defense Magazine, September 2006
Excerpt from “COST EFFECTIVENESS OF WEST COAST DISTRIBUTED
SIMULATION TRAINING FOR THE PACIFIC FLEET”. B.T.Shearon, 2001
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6. 6
Potential use of Simulation in the Navy
In DDG-51 (USN) training, only 10% of most frequent exercises can be simulated [YARDLEY et al.,
2003]
Among catalogued exercises, several of them could be “technically” simulated
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7. 7
Situation from Technology Point-of-View
Fidelity and interoperability of simulation-based training has improved significantly
From single ship training to combined missions with other ships within their battle group
Multi-ship simulation training is a reality:
BFTT - Battle Force Tactical Training System (USN)
TRAINER
MWTS - Maritime Warfare Training System (RAN)
TRAINER
DIS has been dominant until recently SITUATION TRAINER
AWARENESS
Now HLA is the preferred interoperability standard
When planning a complex exercise a lot of interoperability issues arise TRAINER
Many gateways to be developed more time & money
Pier Side
Voice & Data Communications: Synthetic-Real, Links…
Pier Side
Pier Side
SYNTHETIC
TRAINER
Pier Side TRAINER
SYNTHETIC
HQ Pier Side
Pier Side SYNTHETIC
Pier Side SYNTHETIC
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8. 8
Roadblocks to increased use of Simulation (NON-TECHNICAL ISSUES)
Fleet opinions on simulation:
“Reducing underway time will reduce
readiness”
“Scheduling in-port training is
difficult because of equipment
maintenance requirements”
“For intermediate and advanced
training, ships need to get underway”
“In-port battle group exercises
enhance underway training, but do
not replace it”
Training Policies that preclude earning credit for
shore-based training
No Standards for assesing readiness
Interference with other activities
Costs
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9. 9
Roadblocks to increased use of Simulation (TECHNICAL ISSUES)
Fight the battlefront, not the network
Bandwidth is finite
Superscalability: Navy, Joint, Agency, and Partner Nation participants
Interoperability: too beautiful to be true
DIS is alive (USAF, Australia…)
US Navy & NATO pursuing HLA
TENA just round the corner
Many different flavors of HLA implemented out there (HLA 1.3, HLA
1516, HLA-evolved…)
Fidelity: Good enough? What must be as real as real? Break even?
How and why for merging live and synthetic ... What makes sense
Virtual to live radios and back. How to integrate the LVC world
Scheduling among multiple players ... Art and/or science
Many parts and pieces: Simulation, Networking, and Training Systems
interfaces
No one “system” that a Nation can develop or buy. The complexity of
separate pieces (no single system or provider) for distributed,
integrated, synthetic training.
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10. 10
Fleet Synthetic Training
How SIMWARE can leverage the existing
assets, reuse them and compose new
scenarios
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11. 11
Why is NADS interested in this field
Experience in naval programs (SCOMBA, F100,S80)
(NAVANTIA Tier-1 Subcontractor since 2003)
Since 2003 working in:
M&S Architectures
– HLA & DDS Distributed Simulation
– DDS-based Real-Time Simulation
M&S interoperability middleware
– Multi-vendor HLA interoperability
– DDS-based RTI’s
– LVC-C4I integration
Training over I*Net
– SCORM contents
– Simulation-LMS integration
Launched SIMWARE in 2010
R+D project with NAVANTIA started in 2012 to
create a Naval Training infrastructure
New SISO Working Group Layered Simulation
Architectura (LSA)
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12. 12
SIMWARE allows a multi-paradigm Distributed Training Architecture
SIMWARE as proposed for the CENADIN Naval Training Centre
Distributed Training Architecture
HLA/DIS/DDS Situational ESG
Awareness
Ships Pierside
Scenario Combat Sensor Action
System Operator Officer
Generation and
Control .
SIMWARE
. HLA/DIS/DDS
Simulated Sensors
TRAINING
CENTER
HLA/DIS/DDS
SAF/CGF
Shore-Based Trainers
Exercise
Control Combat Sensor Action
System Operator Officer
Data Link 16 CSG
WIDE AREA NETWORKS Training
Exercise Control Comms
Staff
Secure VoIP / Chat
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13. 13
SIMWARE interesting features
Relies on a powerful middleware DDS-based Simplified API hides complexity of HLA or DDS
Open Standard (OMG DDS) Design & Utility Tools:
Extreme efficiency using bandwidth Model Driven Development of Sim Models
Low lattencies while superscalable from SIMULINK
Fault Tolerant & Resilient Data mapping & transformations manager
Interfaces with other COTS and Simulators Gateway designer
through HLA Simulation Control Panel
DIS gateways can be developed through the Optional HLA RTI using DDS as wire protocol
API & tools Distributable Simulation Computing Load
Custom programmed gateways
DATAMODEL Easily Configurable DATAMODEL
A TRANSLATION GATEWAYS B
Simulation Models
can be developed
easily from
SIMULINK and
COMMON SIMULATION ARCHITECTURE plugged into a
common
SIMWARE provides a superior common simulation architecture architecture
where interoperability, reuse and composability are
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14. 14
SIMWARE is a breath of fresh air
SIMWARE backbone is made Not replacing DIS nor HLA Complimentary
over DDS Not just another simulation framework
QoS Management To be integrated with the best COTS in the market
Admits Very Low-Bandwidth
IP networks (some
interesting tests in CWIX
Spain 2009 and 2010)
Radiocomms (HF, VHF,
etc.)
– We tested on a
4.800 bps
network!!!
• ISDN lines
• GPRS
DDS Hard Real Time Pub/Sub
features:
No single point of
failure!!!
High Rates for High
fidelity
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15. 15
What is DDS??? Why use DDS in Simulation???
Data Data
Not replacing DIS nor HLA but changing the Writer Reader
way a federate communicate with others Data
Data
Reader
Writer
through the network
SIMWARE backbone is made over DDS TOPIC “D”
Data TOPIC “A”
QoS Management Writer
Data
[DDS Global Data Space] Reader
Admits Very Low-Bandwidth IP networks
TOPIC “B”
(some interesting tests in CWIX Spain 2009
and 2010) Data
TOPIC “C”
Data
Writer
Writer
Radiocomms (HF, VHF, UHF with IP cap.)
– tested on a CNR 4.800 bps
network!!!
• ISDN lines, GPRS…
DDS Hard Real Time Pub/Sub features:
No single point of failure!!!
High Rates for High fidelity
A new SISO Study Group working in defining
what is called “Layered Simulation
Architecture – LSA” based in DDS
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16. 16
Vision shared with NAVANTIA: CENADIN project
SIMWARE enables “Pier side/On Shore/Blended”
Distributed Simulation
Efficient in IP networks with Low Bandwidth
Its native DDS backbone
makes easy to integrate
most of the Combat
Management Systems
Ideal for Training Centres
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17. 17
“SIMWARE inside” example of LVC Infrastructure for Operations Research
Tactical C2 system Distributed
Simulation Services FAC virtual Sim
BMS
Missile
LGB Sim
Sim
Service
FFT Comman Service
service d service Sensor Aircraft
SP Army C2 DDS Sim Sim
services Interface Service Service
SimWare PowerLink SimWare Simware RTI
DATA DISTRIBUTION SERVICES (DDS) – REAL TIME DATA BUS
SimWare PowerLink
CGF Serious Gaming
VR-Forces VBS2 & STEELBEAST PRO
HLA propietary network
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18. 18
“SIMWARE inside” example of Advanced Flight Training Devices
SIMWARE speeds-up the development of all kind of Flight
Training Devices
NADS has developed JAR certified FNPTs for Flight Schools
based on Simware in record time
NADS EXIM I/II FNPT-I
Using SIMWARE can reduce up to 50% Time to Market
Predefined Simulator Architecture
Facilitates maintenance and upgrading
Seamless interoperability with external DIS/HLA simulators
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19. 19
“SIMWARE inside” example of Experimentation Simulators
SIMWARE has been employed in the
development of a simulated
environment for programming
aerial infrared countermeasures
(flares)
SIMWARE SimDeveloper was used for
developing and testing of High-Fidelity
models
Mistral class I/R missile
Flares
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20. 20
A QuickStart with SIMWARE
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21. 21
About NADS
Corporate Headquarters Since 2002 providing services and solutions to the
Madrid – Spain Defence & Aerospace industry
Commercial Delegations
Core Business:
Paris- France (France, Germany & BENELUX)
Simulation and Training Solutions
Engineering Workcenters Simulation Technology
Madrid – Spain (Products & Projects) C4I and Critical Mission Solutions
Cadiz – Spain (Naval Systems Engineering) Integrated Logistic Support (ILS)
Partners Active members in M&S community
PRISMTECH (FR, UK, NL, USA) NATO NIAG SG 162
PEGASUS SIMULATION (CAN) SISO LSA SG
SIMIGON (ISRAEL) OMG DDS
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22. 22
A shared objective: making distributed simulation easy
On Thursday morning, we will be available for answering your questions and
showing you some demos made with SIMWARE.
Find us in Exposition Area (-2 basement)
DVDs with TRIAL PACK of SIMWARE 4.2.2 available upon request. Few copies here!!!
Send now your B2B meeting requests at info@nads.es
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23. NADS
Avenida de Manoteras, 18
28050 Madrid – Spain
+34 91 142 06 13
www.nads.es – www.simware.es
info@nads.es
© NEXTEL AEROSPACE DEFENCE & SECURITY S.L., 2012.
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