Systems and methods of integrated application framework for connected aircraft using avionics systems
Inventors
Janakiraman, Kirupakar • Khan, Kalimulla • Toews, Phillip • Rajendran, Ramkumar • GOSWAMI, Manish • Jayathirtha, Srihari
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Publication Number
US-12654872-B2
Publication Date
2026-06-16
Expiration Date
Abstract
Disclosed are methods, systems, and one or more computer-readable mediums for providing, by an integrated flight deck (IFD) networked computing system, data acquisition for generating a plurality of inflight operation insights, the IFD networked computing system comprising: a presentation platform, a plurality of framework components, a software development kit (SDK) framework, and one or more user interface libraries configured to develop a plurality of applications from the presentation platform and add one or more additional SDKs and/or libraries to the presentation platform; aggregating, by an orchestrator of the SDK framework, a plurality of data sources to fuse data from the plurality of data sources and create a data packet comprising real-time flight data; generating, the plurality of inflight operation insights by analyzing a plurality of key performance indicators of the created data packet; and assessing a flight parameter based on the generated inflight operation insights.
Core Innovation
The described invention uses an electronic flight bag (EFB) application framework integrated with an aircraft’s integrated flight deck (IFD) networked computing system to acquire data for generating a plurality of inflight operation insights. The IFD networked computing system includes a presentation platform with graphical user interfaces, framework components including an object factory to manage data from a plurality of data sources, and an SDK framework configured to process the data in real-time.
An orchestrator of the SDK framework aggregates the plurality of data sources to fuse the data and create a data packet comprising real-time flight data. The orchestrator communicates the data via cloud and comprises an interface layer to configure each framework component while supporting modification of the SDKs without effecting the SDK framework. The SDK framework executes a customizable avionics rules engine on an IoT platform for real-time streaming analytics and complex event processing.
The rules engine processes real-time telemetry streams using rule chains composed of message components and rules nodes, and generates inflight operation insights by analyzing a plurality of key performance indicators of the created data packet generated in real-time inflight based on real-time data using the IFD networked computing system. The invention assesses a flight parameter based on the generated inflight operation insights and presents an electronic display of the flight parameter to one or more users including an electronic display of one or more actions available for changing a flight operation.
In parallel system aspects, an EFB application framework system generates end-to-end real-time data analytics for inflight features around inflight operation insights and mission management using real-time flight data from onboard avionics subsystems. It further generates an avionics common object model that is fused with aerospace safety services, fuel efficiency service, ground service, pilot workflow automation, and connected maintenance service, and provides communication flow between avionics subsystems and applications hosted on external EFB devices, including transmitting one or more alert messages to a user based on inflight operation insights and/or flight status.
Claims Coverage
Independent claim coverage is provided by three independent claims, each centered on an EFB application framework using an aircraft integrated flight deck or an avionics common object model, fused real-time analytics, a customizable avionics rules engine with rule chains, and user-facing inflight operation insights and alerts.
EFB framework with IFD real-time data fusion, orchestrated SDK and GUI actions
Using an integrated flight deck networked computing system to provide data acquisition for generating inflight operation insights, including a presentation platform with GUI, framework components comprising an object factory, and an SDK framework configured to process data in real-time; aggregating data sources by an orchestrator to fuse data into a data packet of real-time flight data; executing a customizable avionics rules engine on an IoT platform using rule chains composed of message components and rules nodes; generating inflight operation insights by analyzing key performance indicators of the data packet in real-time; assessing a flight parameter based on the inflight operation insights and presenting an electronic display regarding the flight parameter with one or more actions available for changing a flight operation.
EFB application framework with avionics common object model, services fusion, plugin domain model via APIs, and external EFB alert messaging
Using real-time flight data to generate end-to-end real-time data analytics for inflight features around inflight operation insights and mission management; using real-time flight data to generate an avionics common object model corresponding to a model trained at least on real-time flight data using an SDK framework executing a customizable avionics rules engine on an IoT platform and processing telemetry streams using rule chains composed of message components and rules nodes; fusing the avionics common object model with data corresponding to aerospace safety services, fuel efficiency service, ground service, pilot workflow automation, and connected maintenance service; integrating one or more avionics subsystems into the avionics common object model using extensions to define a domain model available via onboard application programming interfaces, where extensions allow plugin components to register and the domain model delivers intelligent actionable recommendations inflight; using the avionics common object model to provide flow of communication between avionics subsystems and applications hosted on external EFB devices and to modify a plugin component without effecting the plugin components; and transmitting one or more alert messages from applications hosted on external EFB devices to a user based on inflight operation insights and/or a flight status.
Non-transitory medium instructions for end-to-end real-time analytics with avionics common object model, services fusion, extensions via APIs, and external EFB alert messaging
Using real-time flight data to generate end-to-end real-time data analytics for inflight features around inflight operation insights and mission management, and using the real-time flight data to generate an avionics common object model corresponding to a model trained at least on the real-time flight data using an SDK framework executing a customizable avionics rules engine on an IoT platform for real-time streaming analytics and complex event processing with rule chains composed of message components and rules nodes; fusing the avionics common object model with data corresponding to aerospace safety services, fuel efficiency service, ground service, pilot workflow automation and connected maintenance service; integrating one or more avionics subsystems into the avionics common object model by using extensions and defining a domain model based upon the common data object and making the domain model available for one or more applications via onboard application programming interfaces, where extensions allow plugin components to register and the domain model delivers intelligent actionable recommendations inflight; using the avionics common object model to provide communication between avionics subsystems and applications hosted on external EFB devices and to support modifying a plugin component without effecting the plugin components; and transmitting one or more alert messages from applications hosted on external EFB devices to a user based on inflight operation insights and/or a flight status.
Across the independent claims, the core coverage is an aircraft EFB application framework that uses real-time avionics/flight data to build an avionics common object model and end-to-end real-time analytics, executes a customizable avionics rules engine on an IoT platform with rule-chain message components and rules nodes, fuses model data with aerospace safety and operational services, integrates avionics subsystems via extensions and onboard APIs for plugin-based recommendations and modifiability, and presents inflight operation insights through GUI actions and transmitted alert messages to users based on inflight operation insights and/or flight status.
Stated Advantages
Edge/onboard real-time processing to reduce cloud/SATCOM reliance and data sent to cloud.
Scalability and maintainability via support for extensibility and modifiable SDKs/plugins without effecting the SDK framework or plugin components.
Cyber/security assurance for airborne systems.
Real-time maintenance alerts for faults, event conditions, and/or anomalies related to flight operation.
Weather hazard avoidance and flight safety information delivered via transmitted alert messages.
Mission management and inflight operation insights enabling intelligent actionable recommendations inflight, including corrective actions to prevent operational disruptions.
Documented Applications
Generating inflight operation insights and mission management features for aircraft using real-time avionics data, including flight parameter assessment and electronic display/actions.
Providing alert messages to a user based on inflight operation insights and/or a flight status, including weather hazard avoidance, flight efficiency, and flight safety information.
Delivering fuel efficiency and flight level advisories using a flight level advisory system based on historical flight data to generate cost-efficient flight levels.
Real-time maintenance alerting based on anomalies or fault conditions and associated predictive or prescriptive behavior tied to corrective actions to prevent operational disruptions.
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