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Charles River Analytics, Inc. SBIR Phase II Award, February 2018

A SBIR Phase II contract was awarded to Charles River Analytics in February, 2018 for $999,985.0 USD from the U.S. Department of Defense and United States Navy.

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AbstractTimelineTable: Further ResourcesReferences
sbir.gov/node/1607439
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Charles River Analytics
Charles River Analytics
1
Government Agency
U.S. Department of Defense
U.S. Department of Defense
1
Government Branch
United States Navy
United States Navy
1
Award Type
SBIR1
Contract Number (US Government)
N68335-18-C-01731
Award Phase
Phase II1
Award Amount (USD)
999,9851
Date Awarded
February 12, 2018
1
End Date
February 10, 2020
1
Abstract

The US Department of the Navy (DoN) is developing ocean environment sampling systems that can operate autonomously for long missions (up to six months), to collect and communicate real-time, in-situ data without requiring an expensive, dedicated ship. To generate accurate weather forecasts and climate predictions, ocean sampling systems must measure environmental parameters (e.g., pressure, temperature, humidity, wind speed, wind direction) at the air-sea boundary. To provide this accuracy, we propose the Smart Weather InstruMentS (SWIMS) systeman autonomous mobile surface buoy that measures the ocean surface and a tethered blimp that measures the adjacent air layer. A novel, wave-generated jet propulsion system propels the SWIMS buoy, and an automated winch system inside the buoy deploys the blimp. SWIMS transmits geo-registered meteorological data to a command and control (C2) station via a satellite communication link, makes decisions using a behavior-based autonomy software architecture, and maintains power during long missions by recharging its batteries with solar panels. SWIMS can provide the DoN with data on the complex interface between the ocean mixed layer, ocean surface, and adjacent air layer that is critical to the genesis of meteorological phenomena, data required to accurately predict global weather, climate, and the evolution of greenhouse gases.

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Further Resources

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