Honeywell International Inc.

Ramkumar Rajendran

Kirupakar Janakiraman

Kalimulla Khan

Rajeev Mohan

Phillip Toews

Ryan Weeks

Raghu Shamasundar

Aloke Roy

KamalaKannan Balraj

Subhransu Sahoo

Sunil Venugopalan

Bijitha Bg

SivaKumar Balla

Ratan Khatwa

Yi Chen Zhong

Richard Snyder

Rajesh Chaubey

Dan Li

Narayanan Srinivasan

Daniel Eugene Lewis

Nayyar Azam Khan Rao

Kirupakar J

Visakh Sivadasan

Prasanna M R H

Pavel Drasil

Cosmin Mihai

Angelo Koutsogiannis

Nithya Vasudevan

Deepavali Dinkarrao Desai

A system and method in an aircraft for providing enhanced services is provided. In one example, the method includes: setting up triggering logic to identify a beginning point and ending point for collecting a set of avionics system data during a flight; and systematically retrieving information for use by the triggering logic to identify the beginning point and the ending point. When the beginning point is reached, the method includes systematically repeating: retrieving the set of avionics systems data; and sending, to an off-board application, data from the set of avionics system data that has changed state from prior data sent to the off-board application. When the ending point is reached, the method includes cease sending data from the set of avionics system data to the off-board application.

System and method for providing enhanced services

Disclosed are methods, systems, and one or more computer-readable mediums for receiving, at an edge device from an external server, a rules database comprising a set of rules; receiving, by the edge device, first data from at least one device; processing, by the edge device, the received first data by comparing the received data to each rule among the set of rules; identifying a first triggering event in response to detecting a match between the received data and a rule of the rules database; and outputting an alert corresponding to the first triggering event.

Systems and methods of situation aware edge analytics framework for avionics IOT gateways

Disclosed are methods, systems, and one or more computer-readable mediums for performing, by one or more processors located off-board a vehicle, operations including receiving, by the fog based application framework before transit of the vehicle, vehicle operation data from a cloud based database of a cloud based computing system; receiving, by the fog based application framework before and/or in real-time during transit of the vehicle, edge-based vehicle data from one or more edge computing devices of the vehicle; and generating, by the fog based application framework during transit of the vehicle, a plurality of vehicle operation insights based on the vehicle operation data and the edge-based vehicle data.

Systems and methods for a vehicle processing system with a fog-based framework

A system for an aircraft configured to: provide one or more of the sensed aircraft characteristics to a flight planning tool for processing by one or more features of the flight planning tool; receive a recommended flight setting from the flight planning tool based on the processing by the flight planning tool; compare a current flight setting as determined based on the one or more sensed aircraft characteristics from the plurality of sensors with the received recommended flight setting; determine a potential operational efficiency based on the comparison between the received recommended flight setting and the current flight setting; and provide the potential operational efficiency to a user based on an identity of the user.

Integrated flight deck

Display screen with graphical user interface

Systems and methods for a situation aware edge analytics framework for communication systems. In certain embodiments, a method includes receiving an analytical model from an external server at a mobile edge node. Further, the method includes acquiring situation information for the mobile edge node from at least one component on the mobile edge node. Moreover, the method includes providing the situation information to the analytical model executing on the mobile edge node. Also, identifying a change in one or more communication link states based on an output of the analytical model. Additionally, transmitting the output of the analytical model to the external server. The method also includes receiving an additional analytical model from the external server by the mobile edge node, where the additional analytical model is based on the output of the analytical model.

Situation aware edge analytics framework for communication systems

A joint-decision making system for a vehicle operator and a dispatcher is disclosed, comprising: a vehicle operator engine implemented on a vehicle system configured to: detect a trigger event condition; retrieve vehicle information relevant to the event trigger condition; receive additional information relevant to the event trigger condition; generate a suggested response based on the trigger event condition, retrieved vehicle information, and received additional information; display the suggested response on a graphical user interface of the vehicle operator engine; and transmit the trigger event condition, vehicle information, and suggested response to a dispatcher engine; and the dispatcher engine implemented on a ground system configured to: receive the event trigger condition, vehicle information, and suggested response from the vehicle operator engine; retrieve the additional information relevant to the event trigger condition; and display the suggested response on a graphical user interface of the dispatcher engine.

Systems and methods for vehicle operator and dispatcher interfacing

Systems and methods for indoor tracking via Wi-Fi fingerprinting and electromagnetic fingerprinting are provided and can include a gateway receiver device measuring a RSSI value of a signal transmitted by a Wi-Fi transmitter device, the gateway receiver device measuring an EMF value of an interference in an electromagnetic field created by the gateway receiver device that is caused by the Wi-Fi transmitter device, the gateway receiver device determining whether the RSSI value matches any of a plurality of Wi-Fi fingerprints associated with a monitored region and whether the EMF value matches any of a plurality of electromagnetic fingerprints associated with the monitored region, and responsive thereto, the gateway receiver device identifying that a location of the Wi-Fi transmitter device is within the monitored region.

Systems and methods for indoor tracking via Wi-Fi fingerprinting and electromagnetic fingerprinting

Disclosed are methods, systems, and non-transitory computer-readable medium for cognitive services for a FMS SaaS platform. For instance, the method may include obtaining training data; training reinforcement learning model(s) using the obtained training data; in response to receiving a request for cognitive services from a user device, analyzing a query of the request for cognitive services using at least one reinforcement learning model of the trained reinforcement learning model(s); determining intent, entity(s), emotion, and/or context of the query based on an output of the at least one reinforcement learning model to form a cognitive services request; applying a second at least one reinforcement learning model of the trained reinforcement learning model(s) to the cognitive services request to determine one or more services to invoke; and transmitting a result to the user device based on an output of the one of more invoked services.

Systems and methods for cognitive services of a connected FMS or avionics SaaS platform

Disclosed are methods, systems, and non-transitory computer-readable medium for fault injection and ensuring failsafe FMS SaaS platforms. For instance, the method may include observing a behavior of a platform; building a hypothesis about a steady state behavior based on the observing the behavior of the platform; determining whether a request for fault injection has been received; in response to receiving the request for the fault injection, performing the fault injection; observing a response of the platform to the fault injection; determining whether the fault injection is at an end; and in response to determining that the fault injection is at the end, collect and analyze data of observed response(s).

Systems and methods for fault injection and ensuring failsafe FMS SaaS platforms

Growing community of inventors

Theni District, India

Ramkumar Rajendran