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A Rapid-to-Deploy Agent-Based Wireless Sensing Architecture for Autonomous Structural Collapse Prediction

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: HSHQDC-13-C-00104
Agency Tracking Number: HSHQDC-13-R-00032-H-SB013.2-004-0006-I
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H-SB013.2-004
Solicitation Number: HSHQDC-13-R-00032
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-09-20
Award End Date (Contract End Date): 2014-03-19
Small Business Information
1600 Huron Parkway 2nd Floor
Ann Arbor, MI 48109-5001
United States
DUNS: 831638312
HUBZone Owned: Yes
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Andrew Zimmerman
 CEO - Civionics
 (719) 358-7971
Business Contact
 Andrew Zimmerman
Title: CEO - Civionics
Phone: (719) 358-7971
Research Institution

While most media attention in the wake of a terrorist attack, a natural disaster, or even a single building fire focuses rightly on the safety and wellbeing of the general public, one often overlooked aspect of these catastrophic events is the extreme risk taken by first responders who enter structures on the verge of collapse. For example, after the attacks on the World Trade Center on September 11, 2001, 403 first responders were killed by the structural collapse of the twin towers. This scenario plays out on a much smaller scale every day, when local firefighters enter a burning or condemned building in an effort to protect public safety, and end up putting themselves at risk in the case of structural collapse.

In this proposal, Civionics has teamed with Weidlinger Associates to present a novel, rapid-to-deploy technology that can quantitatively assess pending collapse in structures impacted by a fire, a terrorist attack, a natural disaster, or another building-related catastrophe. This approach centers on three layers of innovation: (Layer I) a modular wireless sensing hardware platform; (Layer II) an elegant suite of embedded structural analysis and risk assessment algorithms autonomously executed by the deployed wireless sensors; and (Layer III) an intuitive mobile interface for first responders. In whole, the proposed system will reliably provide actionable collapse information to first responders in real-time, while leveraging a lightweight, modular, and unobtrusive design strategy to make the system easy to deploy in even the harshest rescue and recovery environments.

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

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