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Phrenology Forum

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Trade-off between Military System Model resolution and number executing ... Unit Level Simulation. Platform Level Simulation. SEDRIS. Consistency and Interoperability ... – PowerPoint PPT presentation

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Title: Phrenology Forum


1
Synthetic Natural Environment (SNE) Conceptual
Reference Model
Dr. Paul A. Birkel The MITRE Corporation pbirkel_at_
mitre.org
2
Background
  • HLA defines strong framework for establishing
    data (or syntactic) interoperability
  • Relatively weak on how federates should leverage
    framework to achieve semantic interoperability
  • Supports negotiation process for mutually
    agreeing on FOM
  • Provides interface to common data transport
    mechanism
  • Deemed necessary and sufficient to meet
    interoperability goals of military system
    modelers ...
  • Once a FOM has been negotiated and federates have
    been upgraded to communicate data in terms of
    that FOM.
  • Simulated military systems, alone, have limited
    value
  • SNE is context within which military system
    models operate
  • Supports basic state Where are you?
  • Mediates interactions Can I see you?

3
SNE What is it?
The representation of the physical world within
which all models of military systems exist and
interact. It includes both data and models
representing the elements of the environment and
their effects on military systems, and models of
the impact of military systems on environmental
variables (e.g. contrails, dust clouds from
moving vehicles, spoil from combat engineering).
4
Authoritative Representation
  • MS Master Plan defines Executive Agents
  • Terrain (TMPO), Ocean (OEA), Air Space (AS EA)
  • Focus primarily on data requirements, production,
    distribution
  • Limited (unsuccessful) forays into run-time
    modeling
  • SEDRIS standard SNE data model and data
    dictionary
  • Data distribution solution pre-exercise
  • Provides both semantic objects and data transport
  • DIS/SIW have tackled run-time issues under guise
    of the environmental architecture concluding
    either
  • Environmental modeling has demands incommensurate
    to those of military system modeling (e.g.,
    building / tank), or
  • A literal reuse of existing approaches to
    distributed military system modeling can be
    applied to distributed environmental modeling
    (e.g., cloud tank)

5
Missing?
  • A standard system (or process) model for use as a
    reference against which to compare alternative
    environmental run-time system descriptions,
    components, decompositions, and data flows.
  • A proposal follows ...
  • Not a specific environmental architecture
  • Whether youre a federation, or federate,
    designer
  • A conceptual reference model framework within
    which alternative environmental architectures and
    designs can be
  • Dissected, described, compared, and contrasted
    in order to
  • Progress towards the complex goal of SNE
    interoperability
  • One design does not fit all
  • We propose that one conceptual framework can
    fit all

6
Overview
  • 1. Present the SNE conceptual reference model,
  • 2. Explore its structure using functional and
    interface examples,
  • 3. Describe how several contemporary MS problems
    map to that model, and
  • 4. Postulate how use of this model could help the
    SNE MS community better focus their efforts
    towards
  • Achieving effective reuse of data and software,
  • Application/federate interoperability, and
  • Cost/effective future system development.

7
Conceptual Reference Model Schema
  • The physical manifestations of military systems
  • Is the vehicle structure part of the
    Environmental Ground Truth?
  • YES
  • Provides measurable attributes/values describing
    the physical environment
  • E.g., responds to illumination (whether solar or
    target illuminator)
  • E.g., interacts with other structures according
    to Newtonian laws
  • It is a physical, space-occupying mass

8
Schema Elaboration
  • Component Models
  • The collection of algorithms used to model
    military equipment (men and material).
  • These are generally the space-occupying physical
    manifestations of the military systems, minimally
    including location and extent.
  • Behavior Models
  • The collection of algorithms used to model how
    military equipment is employed in response to
    existing conditions (e.g., doctrine, tactics,
    planning, problem solving).
  • Virtual simulations replace these models by
    direct participants / trainees.
  • Environmental State
  • The collection of data defining the measurable
    attributes/values used to describe the SNE at a
    point in time.
  • Specific values may, however, represent
    time-varying conditions.
  • This state would be initialized via a SEDRIS
    transmittal, then evolve in response to other
    inputs.
  • Environmental Models
  • The collection of algorithms used to derive
    additional SNE-related data (e.g. emergent
    properties such as geometric occlusion along a
    path), or evolve the state of the SNE over time
    in response to internal and external factors.

9
Conceptual Reference Model
  • Environmental Ground Truth forms the gaming board
  • Military System Models comprise the gaming pieces
  • The rules of play are tightly coupled to the
    configuration of the gaming pieces
  • The gaming board is constantly changing
    configuration as a result of gaming piece
    state/actions as well as on its own ...

10
CRM Elaboration
  • Environmental Effect
  • A direct influence of the environment on sensors
    (active and passive), weapons countermeasures,
    and/or units/platforms (e.g., ducting of acoustic
    energy, mud).
  • May be as simple as a pass-through of
    environmental state in the immediate vicinity of
    the military system model .
  • Environmental Impact
  • A direct influence on the environment caused by
    active sensors, weapons countermeasures, and/or
    units/platforms (e.g., crater, shipping noise).
  • Environmental Internal Dynamics
  • The algorithms modeling physical processes that
    cause spatial and temporal variations in
    environmental state variables.
  • These processes may be represented by either
    distinct data sets that define the environmental
    state at a sequence of times or by algorithms
    implementing mathematical models of some form
    (e.g., deterministic or stochastic differential
    equations).
  • Almost all MS training systems today have
  • limited effects,
  • no impacts, and
  • (at best) limited prescriptive internal dynamics

11
Acoustic Data Processing
  • Conceptually, energy and mass in the environment
    should be treated identically
  • Modeled at all locations (in all directions, at
    all frequencies, )
  • Resulting measured values represented as
    Environmental Data
  • Conceptually, we propose that the above sequence
    of processing stages takes place, even if only in
    the mind of the system designer

12
Critical Point!
  • The end-to-end trace of data flow
  • Ship Component Model to
  • Ship Acoustic Signature Environmental Impacts
    model to
  • Acoustic Energy Environmental Data to
  • Acoustic Propagation Loss Environmental Effects
    model, and finally to
  • Passive Sensor Component Model
  • affords greater opportunity for comparing
    alternative process flows, models, and
    implementations than merely stating
  • ship entities have acoustic signatures which
    affect sonars
  • Unfortunately, the SNE community is currently in
    the latter situation and progress in developing a
    common understanding has been limited to date.

13
STOW TAOS Total Atmosphere and Ocean Services
  • Internal Dynamics is often scripted
    (pre-computed) due to comp cost
  • But could be as simple as an ephemeris driving
    solar illumination

14
Contemporary SNE Problems
  • Specifying Simulations
  • How much SNE is enough? For what purpose? How
    to separate data from models? How to decompose
    the specification process? Traceability?
  • Federating Simulations
  • Good News few existing simulations include
    robust SNE
  • Bad News every simulation has some SNE and no
    one really understands the semantic implications
    of establishing data interoperability
  • Multi-Resolution Modeling
  • Trade-off between Military System Model
    resolution and number executing
  • Desire to validly federate constructive and
    virtual simulations
  • Does reduced Military System Model resolution
    require reduced SNE resolution? What are the
    implications of SNE dynamics cross-federation?
  • Command and Control
  • Another Virtual Simulator federate (e.g.,
    trainee-crewed TOC)
  • Alternatively, a Live-Virtual (bullet firing)
    federation ...
  • Non-DoD Applications
  • Any computer application that references SNE data

15
Requirements Implications
  • Usually missing
  • The specification of environmental data elements
    which Military System Models must respond to,
  • How they will react, and
  • Which environmental data elements they will
    impact.

16
Wheres the Beef?
  • The CRM clearly shows the multiple
    inter-relationships between Military Systems
    Models and the Environmental Ground Truth
  • Improves our ability to define the specification
    problem(s)
  • Clean separation of the Military Systems Models
    from the Environmental Ground Truth leads to a
    well-specified interface
  • Implications for parallelizing system development
    and potential reuse
  • Recognizing the inherent decomposition of the
    Environmental Ground Truth into State/Data and
    Models encourages good specifications
  • Of State/Data to be populated from SEDRIS
    transmittals
  • And subsequently maintained over the course of
    the simulation
  • Separately from the Models (algorithms) to be
    reused (or implemented de novo)
  • Better specifications are encouraged and
    potential reuse enhanced
  • To the degree that reuse occurs, cross-federation
    interoperability improves
  • To the degree that good specifications are
    prepared, the development of the SOM, and
    subsequently the FOM, are simpler and more likely
    to be correct and complete!
  • A better way to think about specifying,
    developing, and reusing both data and system
    components within simulations and federations
  • Consistent use should lead to reduced life-cycle
    costs and improved interoperability across the
    MS community

17
Consistency and Interoperability
Consistency Agreement (with statistical limits)
between results (final or intermediate) of
different simulations of the same scenario.
18
Multi-Resolution Interoperability
19
Multi-Resolution Military Models
  • Whether the conjecture is true or
    false is not the issue here
  • That the CRM facilitates Diagram and Discuss,
    is and this is otherwise very
    difficult to do today!

20
Example C4ISR Application
21
SNE Conceptual Reference Model
  • Supports Diagram and Discuss
  • Focus SNE community efforts in the area of
    environmental modeling system description and
    design (architecture?)
  • Leverage individual/system experience in
    descriptive form
  • Serve as basis for prescriptive approach to
    next-gen systems
  • Provide focus to next iteration of MS Master
    Plan
  • Context for future MS SNE EA architecture
    related efforts
  • Increased rigor for developmental systems (e.g.,
    JSIMS)
  • Design and documentation
  • Basis for establishing future interoperability
  • Remains a work-in-progress, like SEDRIS in FY96
  • Based only on experienced perspectives
  • Needs concerted (funded) effort
  • Judiciously elaborate and test against new
    concepts
  • Application to problems of immediate relevance
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