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Scalable Biological Agent Detection Network

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-19-C-0007
Agency Tracking Number: A2-7282
Amount: $533,342.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: A17A-T020
Solicitation Number: 17.A
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-11-16
Award End Date (Contract End Date): 2019-11-16
Small Business Information
20 New England Business Center
Andover, MA 01810
United States
DUNS: 073800062
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Christian W Smith
 Principal Scientist
 (978) 689-0003
Business Contact
 David Weatherby
Phone: (978) 738-8107
Research Institution
 University of Notre Dame
 David Ross David Ross
940 Grace Hall
Notre Dame, IN 46556
United States

 (574) 631-7432
 Nonprofit College or University

Physical Sciences Inc., in cooperation with University of Notre Dame, will develop a method for the persistent detection of aerosolized biological warfare agents using a distributed and cooperative sensor network within a Bayesian framework. The proposed system, named BioNet, will provide a wider coverage and two-fold reduction in false alarm rate over individual sensor performance through intelligent data fusion. The system is designed to detect an airborne 100 ACPLA plume and provide a threat determination within 5 minutes of first observation utilizing a sensor density of 4/km2, which is scalable from small events to cities. The Phase II effort will consist of algorithm refinement for performance improvement, integration of orthogonal sensors, and communications development for scalable standalone BioNet installations. Specifically, adjustments will be made to the dispersion model to meet detection requirements within the computation time restrictions. Additionally, the effort will demonstrate the incorporation of supplemental data feeds, through the integration of PSI’s standoff biological plume detector technology. A communications protocol for message handling, data storage, and event replay will be developed. Implementation of this communications architecture will provide a platform for highly scalable network coverage and enable quick deployment of standalone installations of the BioNet system.

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

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