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Title: Airborne agent concentration analysis

Abstract

A method and system for inferring airborne contaminant concentrations in rooms without contaminant sensors, based on data collected by contaminant sensors in other rooms of a building, using known airflow interconnectivity data. The method solves a least squares problem that minimizes the difference between measured and predicted contaminant sensor concentrations with respect to an unknown contaminant release time. Solutions are constrained to providing non-negative initial contaminant concentrations in all rooms. The method can be used to identify a near-optimal distribution of sensors within the building, when then number of available sensors is less than the total number of rooms. This is achieved by having a system-sensor matrix that is non-singular, and by selecting that distribution which yields the lowest condition number of all the distributions considered. The method can predict one or more contaminant initial release points from the collected data.

Inventors:
Issue Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1174716
Patent Number(s):
6687640
Application Number:
10/000,930
Assignee:
Sandia Corporation (Albuquerque, NM)
Patent Classifications (CPCs):
F - MECHANICAL ENGINEERING F24 - HEATING F24F - AIR-CONDITIONING
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02B - CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Gelbard, Fred. Airborne agent concentration analysis. United States: N. p., 2004. Web.
Gelbard, Fred. Airborne agent concentration analysis. United States.
Gelbard, Fred. Tue . "Airborne agent concentration analysis". United States. https://www.osti.gov/servlets/purl/1174716.
@article{osti_1174716,
title = {Airborne agent concentration analysis},
author = {Gelbard, Fred},
abstractNote = {A method and system for inferring airborne contaminant concentrations in rooms without contaminant sensors, based on data collected by contaminant sensors in other rooms of a building, using known airflow interconnectivity data. The method solves a least squares problem that minimizes the difference between measured and predicted contaminant sensor concentrations with respect to an unknown contaminant release time. Solutions are constrained to providing non-negative initial contaminant concentrations in all rooms. The method can be used to identify a near-optimal distribution of sensors within the building, when then number of available sensors is less than the total number of rooms. This is achieved by having a system-sensor matrix that is non-singular, and by selecting that distribution which yields the lowest condition number of all the distributions considered. The method can predict one or more contaminant initial release points from the collected data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {2}
}

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Works referenced in this record:

Linear Least Squares with Bounds and Linear Constraints
journal, July 1986