Smart smoke alarm
Abstract
Methods and apparatus for smoke detection are disclosed. In one embodiment, a smoke detector uses linear discriminant analysis (LDA) to determine whether observed conditions indicate that an alarm is warranted.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1178667
- Patent Number(s):
- 9019109
- Application Number:
- 14/162,532
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
G - PHYSICS G08 - SIGNALLING G08B - SIGNALLING OR CALLING SYSTEMS
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2014 Jan 23
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; 47 OTHER INSTRUMENTATION; 98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
Citation Formats
Warmack, Robert J. Bruce, Wolf, Dennis A, and Frank, Steven Shane. Smart smoke alarm. United States: N. p., 2015.
Web.
Warmack, Robert J. Bruce, Wolf, Dennis A, & Frank, Steven Shane. Smart smoke alarm. United States.
Warmack, Robert J. Bruce, Wolf, Dennis A, and Frank, Steven Shane. Tue .
"Smart smoke alarm". United States. https://www.osti.gov/servlets/purl/1178667.
@article{osti_1178667,
title = {Smart smoke alarm},
author = {Warmack, Robert J. Bruce and Wolf, Dennis A and Frank, Steven Shane},
abstractNote = {Methods and apparatus for smoke detection are disclosed. In one embodiment, a smoke detector uses linear discriminant analysis (LDA) to determine whether observed conditions indicate that an alarm is warranted.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Apr 28 00:00:00 EDT 2015},
month = {Tue Apr 28 00:00:00 EDT 2015}
}
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Works referenced in this record:
Advanced fire detection algorithms using data from the home smoke detector project
journal, February 2005
- Cestari, Luis A.; Worrell, Clarence; Milke, James A.
- Fire Safety Journal, Vol. 40, Issue 1, p. 1-28
Development Of A Fire Detection System Using Ft-ir Spectroscopy And Artificial Neural Networks
journal, January 2000
- Chen, Y.; Serio, M.; Sathyamoorthy, S.
- Fire Safety Science, Vol. 6, p. 791-802
Advanced fire detection using multi-signature alarm algorithms
journal, June 2002
- Gottuk, Daniel T.; Peatross, Michelle J.; Roby, Richard J.
- Fire Safety Journal, Vol. 37, Issue 4, p. 381-394
Multi-criteria fire detection systems using a probabilistic neural network
journal, October 2000
- Rose-Pehrsson, Susan L.; Shaffer, Ronald E.; Hart, Sean J.
- Sensors and Actuators B: Chemical, Vol. 69, Issue 3, p. 325-335
Awakening of Sleeping People: A Decade of Research
journal, July 2008
- Thomas, Ian; Bruck, Dorothy
- Fire Technology, Vol. 46, Issue 3
System and method for remote detection of hazardous vapors and aerosols
patent, July 2001
- Flanigan, Dennis F.
- US Patent Document 6,266,428
Distributed biohazard surveillance system and apparatus for adaptive aerosol collection and synchronized particulate sampling
patent, July 2006
- Rubin, Stuart H.; Chen, Shu-Ching
- US Patent Document 7,082,369
Fire detector incorporating a gas sensor
patent, August 2012
- Ankara, Zafer
- US Patent Document 8,248,253
Dynamic Alarm Sensitivity Adjustment and Auto-Calibrating Smoke Detection
patent-application, January 2011
- Gonzales, Eric V.
- US Patent Document 12/895290; 20110018726