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:
Dec. 09, 2025

Filed:

Oct. 30, 2019
Applicant:

Honeywell International Inc., Morris Plains, NJ (US);

Inventors:

Louis T. Toth, Baltimore, MD (US);

Aloke Roy, Gaithersburg, MD (US);

Michal Skorepa, Brno, CZ;

Jiri Hegr, Sosuvka, CZ;

Assignee:

Honeywell International Inc., Charlotte, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04W 4/40 (2018.01); G06N 5/022 (2023.01); G06N 20/00 (2019.01); G07C 5/08 (2006.01); H04L 41/0894 (2022.01);
U.S. Cl.
CPC ...
H04W 4/40 (2018.02); G06N 5/022 (2013.01); G06N 20/00 (2019.01); G07C 5/0808 (2013.01); G07C 5/0841 (2013.01); H04L 41/0894 (2022.05);
Abstract

Systems and methods for communication management using rules-based decision systems and artificial intelligence are provided herein. In certain embodiments, a system includes a memory unit that stores a knowledge base, wherein the knowledge base stores parametric rules associated with the selection of a communication channel in one or more communications channels, status, performance and usage metrics for communications through the one or more communication channels, vehicle state information, and pre-configured policy on use of communication channels. Also, the system includes a processing unit configured to acquire data related to vehicle state and communication through the one or more communication channels. Additionally, the processing unit is configured to update the knowledge base with updated parametric rules without stopping execution of software, wherein the updated parametric rules are created using machine learning performed on the acquired data and the information associated with the performance goals.


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