The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 10, 2026

Filed:

Feb. 07, 2023
Applicant:

Tyco Fire & Security Gmbh, Neuhausen am Rheinfall, CH;

Inventors:

Michael J. Risbeck, Madison, WI (US);

Young M. Lee, Old Westbury, NY (US);

Jonathan D. Douglas, Mequon, WI (US);

Martin Z. Bazant, Wellesley, MA (US);

Assignee:

TYCO FIRE & SECURITY GMBH, Neuhausen am Rheinfall, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F24F 11/63 (2018.01); G05B 19/042 (2006.01); F24F 110/64 (2018.01);
U.S. Cl.
CPC ...
F24F 11/63 (2018.01); G05B 19/042 (2013.01); F24F 2110/64 (2018.01); G05B 2219/2614 (2013.01);
Abstract

Systems and methods for executing an IAQ analysis of a building. One system includes a controller including memory and one or more processors configured to obtain IAQ data from one or more sensors within the building, wherein the IAQ data is associated with at least one of a plurality of environment species, obtain BAS data, identify one or more unknown parameters from the IAQ data and BAS data of two or more of the plurality of environment species, estimate the one or more unknown parameters based on inputting the IAQ data and the BAS data into an optimization model, and wherein the optimization model analyzes predicted concentrations of the plurality of environment species subject to the two or more of the plurality of environment species evolving according to a single-species concentration model, and provide the estimated one or more unknown parameters to one or more predictive models.


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