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Title: 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 Laboratory (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):
G - PHYSICS G01 - MEASURING G01D - MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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}
}

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