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Autonomous Distributed Plant Monitoring Network

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9101-10-M-0006
Agency Tracking Number: F093-217-1395
Amount: $99,999.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF093-217
Solicitation Number: 2009.3
Timeline
Solicitation Year: 2009
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-05-10
Award End Date (Contract End Date): 2011-02-10
Small Business Information
1 Riverside Circle Suite 400
Roanoke, VA 24016
United States
DUNS: 627132913
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mateja Putic
 Principal Investigator
 (540) 769-8400
 submissions305@lunainnovations.com
Business Contact
 Laura Rasnick
Title: Contracts Administrator
Phone: (540) 769-8431
Email: submissions@lunainnovations.com
Research Institution
N/A
Abstract

The increased availability of miniature low-cost embedded sensing and processing elements and standardized communications protocols has made distributed monitoring within industrial plants more accessible and more useful. Similarly, dynamic health monitoring and predictive system behavior models have brought the promise of moving away from scheduled based maintenance to condition-based maintenance, requiring attention only when it is needed. Schedule-based inspection and maintenance of rotating equipment is costly and labor intensive, and still may not be completely effective for eliminating unscheduled equipment outages. There is a significant need to be able to retrofit existing equipment or instrument new equipment to track conditions within industrial facilities for coordinating operations, logistics, and maintenance processes. BENEFIT: To increase rotating machine service life and reliability, and to reduce maintenance costs and equipment outages, Luna Innovations Incorporated proposes to develop an autonomous distributed plant monitoring system made up of wireless sensor nodes that harvest energy, and an intuitive management interface for condition-based monitoring of rotating machinery. Sensors embedded within these machines can monitor operation status indicators, and physical and environmental parameters continuously and relay this information to a central user network. In addition, wireless sensor node technology has progressed to the point where such low power is required for their operation, that power harvested from ambient vibrations of rotating machines being monitored are sufficient to provide virtually infinite service life.

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

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