SBIR-STTR Award

Model Based Systems Engineering Big Data Analytics
Award last edited on: 7/12/2023

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$899,997
Award Phase
2
Solicitation Topic Code
AF173-015
Principal Investigator
Chris J Walter

Company Information

WW Technology Group (AKA: WWTG)

4519 Mustering Drum
Ellicott City, MD 21042
   (410) 418-4353
   info@wwtechnology.com
   www.wwtechnology.com
Location: Single
Congr. District: 07
County: Howard

Phase I

Contract Number: FA8650-18-P-5009
Start Date: 2/23/2018    Completed: 2/23/2019
Phase I year
2018
Phase I Amount
$149,997
WW Technology Groups (WWTG) proposed effort provides a scalable and powerful framework and foundation for Model Based System Engineering (MBSE) of Big Data (BD) with a software toolchain.The approach uses an established front end to perform the connection to data storage and flow of information that can consume a wide variety of data types and formats found in engineering documents.A series of BD analytic methods are used to reduce the information into a meta database.Advanced techniques are introduced to enhance the structure and mapping of this metadata for use in unified MBSE system model.WWTG existing tools are then used to manage and display the unified model and perform Analysis of Alternatives (AoA). The methods will enable development of knowledge structures and mappings to obtain the highest quality information for seeding designs, development of capabilities, and efficient system integration with substantial prior knowledge from the vast collection of technical development documentation provided to the Government through years of system acquisition and sustainment.The capabilities to be developed are an extension and integration of existing tools that will readily integrate with existing DoD processes and capabilities.

Phase II

Contract Number: FA8650-19-C-5095
Start Date: 9/30/2019    Completed: 9/30/2021
Phase II year
2019
Phase II Amount
$750,000
In this Phase II project, WW Technology Group (WWTG) will develop a scalable and powerful framework and foundation for Model Based System Engineering (MBSE) supported by Big Data in a streamlined software toolchain. The approach uses an established front end that can consume a wide variety of data types and formats found in engineering documents. A series of Big Data analytic methods are used to reduce the information into a meta database. Advanced techniques are introduced to enhance the structure and mapping of this metadata for use in a unified MBSE system model. WWTG tools are then used to manage and display the unified model and perform Analysis of Alternatives (AoA). The methods will enable development of knowledge structures and mappings to obtain the highest quality information for seeding designs, development of capabilities, and efficient system integration. Fully developed, the new system will facilitate the use of substantial prior knowledge from the vast collection of documentation provided to and generated by the Government through years of system acquisition and sustainment to improve new system designs. The capabilities can be readily integrated with existing DoD processes and capabilities.