Real-time predictive sensor network and deployable sensor
Abstract
Deployable, predictive sensor systems may form a sensor network configured to provide environmental data in real-time or near-real-time. The sensors may be deployable sensors that can be launched and/or airdropped in areas that may be contaminated or otherwise unsafe for humans to enter. The predictive sensor network may include sensor tetrapods that may include anemometers for measuring wind speed, radiation sensors, gaseous contaminant sensors, biological sensors, and/or any other desired sensor type. These sensors may inform wind, transport and dispersion models in real-time. The sensor tetrapods may be satellite-linked, linked via a cellular network, linked via RF line-of-sight, a wireless communication link, and/or another compatible wireless network to a wind, dispersal, and deposition model that provides a dispersion pattern, a deposition pattern, and a wind pattern to enable a high-quality remote assessment of the changing scene in real-time.
- Inventors:
- Issue Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1568352
- Patent Number(s):
- 10291711
- Application Number:
- 15/868,517
- Assignee:
- Triad National Security, LLC (Los Alamos, NM)
- Patent Classifications (CPCs):
-
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04W - WIRELESS COMMUNICATION NETWORKS
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04Q - SELECTING
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 01/11/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Hehlen, Markus, Brown, Michael, Frigo, Janette, and Priedhorsky, William. Real-time predictive sensor network and deployable sensor. United States: N. p., 2019.
Web.
Hehlen, Markus, Brown, Michael, Frigo, Janette, & Priedhorsky, William. Real-time predictive sensor network and deployable sensor. United States.
Hehlen, Markus, Brown, Michael, Frigo, Janette, and Priedhorsky, William. Tue .
"Real-time predictive sensor network and deployable sensor". United States. https://www.osti.gov/servlets/purl/1568352.
@article{osti_1568352,
title = {Real-time predictive sensor network and deployable sensor},
author = {Hehlen, Markus and Brown, Michael and Frigo, Janette and Priedhorsky, William},
abstractNote = {Deployable, predictive sensor systems may form a sensor network configured to provide environmental data in real-time or near-real-time. The sensors may be deployable sensors that can be launched and/or airdropped in areas that may be contaminated or otherwise unsafe for humans to enter. The predictive sensor network may include sensor tetrapods that may include anemometers for measuring wind speed, radiation sensors, gaseous contaminant sensors, biological sensors, and/or any other desired sensor type. These sensors may inform wind, transport and dispersion models in real-time. The sensor tetrapods may be satellite-linked, linked via a cellular network, linked via RF line-of-sight, a wireless communication link, and/or another compatible wireless network to a wind, dispersal, and deposition model that provides a dispersion pattern, a deposition pattern, and a wind pattern to enable a high-quality remote assessment of the changing scene in real-time.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {5}
}
Works referenced in this record:
Long range, low power, mesh networking without concurrent timing
patent, September 2012
- Myers, Chris; Staarmann, Leo John; Jansen, David
- US Patent Document 8,275,313