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Model-based Enterprise Architecture for Institutional Management Digital Twins

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC21C0357
Agency Tracking Number: 211297
Amount: $131,469.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: T11
Solicitation Number: STTR_21_P1
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-05-13
Award End Date (Contract End Date): 2022-05-19
Small Business Information
2839 Paces Ferry Road, Suite 1160
Atlanta, GA 30339-5770
United States
DUNS: 961914884
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Olivia Pinon Fischer
 (404) 894-8055
Business Contact
 Ash Thakker
Phone: (770) 803-3001
Research Institution
 Georgia Institute of Technology-Main Campus
225 North Avenue
Atlanta, GA 30332-0000
United States

 () -
 Nonprofit College or University

Global Technology Connection, Inc. and its university partners propose a structured, model-based approach to the definition and development of Institutional Management Digital Twins that is guided by architectural and Model-Based Systems Engineering (MBSE) practices and principles. The proposed technical approach identifies a series of steps aimed at guiding engineers through such digital twin development tasks. Such capability would provide multiple benefits including having optimal level and granularity of information and better problem understanding for critical decision making, model and knowledge reuse to reduce digital twin development time frames, improved operations, communication, and collaboration among several stakeholders. In Phase I, we will identify users and use cases, scope and context, data sources and types, modeling needs and its details, and the final product and its views. Access to ongoing Digital Twin proof-of-concept studies and the teamrsquo;s breadth of experience in modeling languages like SysML and MBSE solutions in the field of Digital Twin Institutional Management to support Health/Automated Decision Making at multiple scales across buildings and campuses will be leveraged in this effort. In phase II, we will expand on the Phase I developed Digital Twin architectures to develop commercial level prototypes and apply them on identified industry/partnerrsquo;s buildings.nbsp;

* Information listed above is at the time of submission. *

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