SBIR-STTR Award

Internet of Things (IoT) Low-Cost Flood Inundation Sensor
Award last edited on: 4/7/2017

Sponsored Program
SBIR
Awarding Agency
DHS
Total Award Amount
$849,554
Award Phase
2
Solicitation Topic Code
H-SB016.1-005
Principal Investigator
Brian Leone

Company Information

Progeny Systems Corporation

9500 Innovation Drive
Manassas, VA 20110
   (703) 368-6107
   businessopportunities@progeny.net
   www.progeny.net
Location: Multiple
Congr. District: 10
County: Manassas

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2016
Phase I Amount
$99,672
Progeny Systems proposes to develop a deployable, low-cost flood inundation sensor for alerts, warnings and notifications to responders and citizens using IoT Wireless Emergency Alerts. The sensor will be ruggedized, modular, deployable, GPS-enabled, and submersible. The sensor will be part of a scalable wireless mesh sensor network. The sensor network will consist of an array of wireless sensor nodes that can measure ever-changing flood conditions and report them back to an operations center through a gateway node. The data from all the nodes in the network will be collected and analyzed at the operations center so as to rapidly predict, detect and react to inundation of low-lying areas, underpasses, and critical transportation corridors. This critical data will allow for federal, state and local governments to make real-time decisions pertaining to flood response.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2017
Phase II Amount
$749,882
Progeny Systems proposes to design and build 100 units of a deployable, low-cost flood inundation sensor for alerts, warnings and notifications to responders and citizens using Internet of Things (IoT) Wireless Emergency Alerts. The sensor will be ruggedized, modular, deployable, GPS-enabled, and submersible. The sensor will be part of a scalable wireless mesh sensor network. The sensor network will consist of an array of wireless sensor nodes that can measure ever-changing flood conditions and report them back to an operations center through a gateway node. The data from all the nodes in the network will be collected and analyzed at the operations center so as to rapidly predict, detect and react to inundation of low-lying areas, underpasses, and critical transportation corridors. This critical data will allow for federal, state and local governments to make real-time decisions pertaining to flood response.