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Integrated Monitoring AWAReness Environment (IM-AWARE)

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX16CS15C
Agency Tracking Number: 150133
Amount: $749,993.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T13.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-09-30
Award End Date (Contract End Date): 2018-09-29
Small Business Information
888 Easy Street
Simi Valley, CA 93065-1812
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Francisco Maldonado
 Director of Product Developmen
 (805) 582-0582
 emelgarejo@americangnc.com
Business Contact
 Emily Melgarejo
Title: Business Official
Phone: (805) 582-0582
Email: emelgarejo@americangnc.com
Research Institution
 Louisiana Tech University
 Emily Melgarejo
 
P.O. Box 3168
Ruston, LA 71272-4235
United States

 (805) 582-0582
 Domestic nonprofit research organization
Abstract

American GNC Corporation (AGNC) and Louisiana Tech University (LaTECH) are proposing a significant breakthrough technology, the Integrated Monitoring AWAReness Environment (IM-AWARE) consisting of an Enterprise Infrastructure with closely coupled smart sensor networks and Enhanced IT Security to enable: (i) real time monitoring of the distribution systems health; (ii) supporting maintenance operations and configuration management; and (iii) making the system clients aware, in an ubiquitous way, when an entity (sensor, valve, pipeline, motor-pump, etc.) failure is detected. Key components of this infrastructure are: (i) a low level standardized smart sensor network with embedded diagnostics at the sensor and intelligent sensor network coordinator levels and (ii) client-server enterprise infrastructure containing a Database, secure communications, and software applications for smartphones, tablets, and/or ruggedized devices. Key advantages of the system include: (a) novel sensor self-diagnostics with a non-spatial correlation algorithm; (b) novel Timed Failure Propagation Graphs (TFPG) algorithm, for joint sensor/component fault diagnostics; (c) system troubleshooting by stochastic inference that mimics human troubleshooting reasoning; (d) APIs for the TFPGs, Bayesian Networks (BN), and Influence Diagrams to facilitate and expedite diagnostic deployment within custom embedded applications; and (e) ruggedized hardware modules design. Advanced sensing schemes are provided for leakage detection, heat flux applications, and fire detection, in addition to monitoring test facility parameters (flow, pressure, temperature). To provide retrofitting and scalability capability strategies include standardized and scalar smart sensor design as well as software APIs and toolboxes development.

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

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