AIRBORNE AGENT CONCENTRATION ANALYSIS

Patent №

US 6,687,640

Granted

2004-02-03

Filed 2001

Owner

SANDIA NATIONAL LABORATORIES

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10000930

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.

Machine learningPlanningF24F 11/63F24F 11/30F24F 11/62G01N 33/0031F24F 2110/50F24F 2221/44G01N 1/2273G01N 2001/022+1 more

AI classification

Planning1.00
Machine learning0.67
Vision0.48
Knowledge representation0.27
AI hardware0.03
Evolutionary computation0.01
Natural language0.00
Speech0.00

Ownership

SANDIA NATIONAL LABORATORIES

assignment · 125830095

Assignors

GELBARD, FRED

On an employer assignment, the assignors are typically the inventors.

From the same owner

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