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:
Apr. 02, 2024

Filed:

Sep. 28, 2020
Applicant:

Rockwell Collins, Inc., Cedar Rapids, IA (US);

Inventors:

Angela N. Dunlay, Marion, IA (US);

Matthew M. Lorch, Cedar Rapids, IA (US);

Subhashish Chakravarty, Marion, IA (US);

Jaclyn A Hoke, Marion, IA (US);

Bernard Dion, Monkton, VT (US);

Assignee:

Rockwell Collins, Inc., Cedar Rapids, IA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 5/00 (2006.01); G06N 7/01 (2023.01); G07C 5/00 (2006.01); G07C 5/08 (2006.01);
U.S. Cl.
CPC ...
G08G 5/0021 (2013.01); G06N 7/01 (2023.01); G07C 5/008 (2013.01); G07C 5/0808 (2013.01); G08G 5/0013 (2013.01); G08G 5/003 (2013.01);
Abstract

A system and method for automation of flight functions across an aircraft cockpit provides an open systems architecture to meet next generation mission capabilities for increased aircrew effectiveness. A mission reasoner (MR) receives inputs from a vehicle health system, mission phase analysis, and external assets (wingmen) to build a decision network based on a knowledge database providing a decision aid to automate flight functions across the cockpit. The MR reduces crew workload by providing an automated decision aid and increased situational awareness of own ship aircraft and cooperating nearby vehicle health status relating to a phase of mission success. The MR provides predictive decisions and alternative actions to complete one or more desired mission objectives and determines predictive maintenance and future failures to optimize condition-based maintenance and reduce cost.


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