Honeywell International Inc.

Miroslav Krupa

Tim Felke

Pavel Urbanek

Jeff vanderZweep

Timothy D Mahoney

Douglas L Bishop

Douglas Allen Bell

Lukas Harvanek

Doug Bishop

Michal Cermak

Doug Bell

Lori Murphy

Petr Dolak

A computer-implemented method for real-time streaming of flight data includes receiving flight data from one or more aircraft data sensors, evaluating the received flight data according to data evaluation rules, and upon determining that the received flight data matches one or more conditions specified in the data evaluation rules, starting or stopping a transmission of the received flight data to a ground station.

Systems and methods for real-time streaming of flight data

A computer-implemented method for prioritized flight data transmission includes receiving a frame of flight data from one or more aircraft data sensors, the frame of flight data comprising a plurality of parameters collected from one or more avionics systems, associating each parameter of the plurality of parameters with a respective priority level, decomposing the frame of flight data into a plurality of flight data frame layers, wherein each flight data frame layer of the plurality of flight data frame layers comprises a subset of the plurality of parameters having respective priority levels that are equivalent, and transmitting, to a ground station, a first flight data frame layer of the plurality of flight data frame layers comprising parameters having a highest respective priority level.

Systems and methods for prioritized flight data transmission

Systems, methods are provided for augmenting functions of a computing device by a controlling computing device. The method comprises receiving a command and a data matrix from the controlling computing device. The data matrix contains data that when installed enables the subordinate computing device to accomplish additional functions. The method further comprises calling a first SEAM by the computing device to receive the command and the data matrix, calling a second SEAM by the computing device to create a SDS extension in its volatile memory, and populating the one or more volatile extensions with the data from the data matrix.

Systems and methods for augmenting the functionality of a monitoring node without recompiling

Systems and methods are provided for customizing workflow in a condition based health maintenance ('CBM') system computing node. The computerized method comprises identifying a first standardized executable application module ('SEAM'), wherein the first SEAM is configured to generate a first event associated with particular data being processed by the first SEAM and identifying a second SEAM, wherein the second SEAM is configured to generate a subsequent event associated with the particular data processed by the first SEAM. The computerized method further comprises creating a quasi-state machine associating a unique responses to the first event and associating a unique responses to the subsequent event, and installing the quasi-state machine into the SDS of the computing node from which the workflow service state machine retrieves the one or more unique responses from the quasi-state machine to the first event for processing by the second SEAM to produce the subsequent second event.

Systems and methods for limiting user customization of task workflow in a condition based health maintenance system

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Brno, Czechia

Miroslav Krupa