Abstract:
A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer. The data fusion module also considers data prediction information upon receiving a request for predicted data when real-time data is unavailable.
Abstract:
A method for providing landing assistance for an aircraft is provided. The method analyzes terrain data; identifies one or more landing zones, based on analyzing the terrain data, each of the one or more landing zones comprising a flat area lacking obstacles to aircraft landing; and presents the one or more landing zones via a display element onboard the aircraft.
Abstract:
The embodiments described herein can provide systems and methods for combining traditional navigational data with temporary updates. Such a system and method can facilitate the inclusion of temporary navigational events into the navigational data made available on aircraft flight management system (FMS). For example, the systems and methods can be used to combine Aeronautical Information Regulation and Control (AIRAC) navigational data that is traditionally updated on 28 day cycles, with temporary navigational data changes, such as those typically indicated in “Notices to Airmen” (NOTAM). The combined navigational dataset can then be provided to the FMS.
Abstract:
A method for providing landing assistance for an aircraft is provided. The method analyzes terrain data; identifies one or more landing zones, based on analyzing the terrain data, each of the one or more landing zones comprising a flat area lacking obstacles to aircraft landing; and presents the one or more landing zones via a display element onboard the aircraft.
Abstract:
The embodiments described herein can provide systems and methods for combining traditional navigational data with temporary updates. Such a system and method can facilitate the inclusion of temporary navigational events into the navigational data made available on aircraft flight management system (FMS). For example, the systems and methods can be used to combine Aeronautical Information Regulation and Control (AIRAC) navigational data that is traditionally updated on 28 day cycles, with temporary navigational data changes, such as those typically indicated in “Notices to Airmen” (NOTAM). The combined navigational dataset can then be provided to the FMS.
Abstract:
A method for providing air traffic control (ATC) message data onboard an aircraft is provided. The method identifies ATC commands associated with text-based messages, by at least one processor onboard the aircraft, wherein the ATC commands comprise instructions to follow one or more particular procedures associated with the ATC audio messages and the ATC direct text messages; identifies, by the at least one processor, graphical content associated with the ATC commands; and presents an ATC graphical rendering environment comprising at least the graphical content, via at least one aircraft onboard display communicatively coupled to the at least one processor.
Abstract:
Methods and systems are provided for classifying notice to airmen (NOTAM) alerts to a pilot of an aircraft. First, bundled NOTAMs are received during the flight planning process for the aircraft. A domain rules set for a filter engine on board the aircraft is created that prioritizes the bundled NOTAMs based on their criticality. The domain rules set is updated with weather data and day/night visibility analysis. The prioritized critical NOTAMs are stored on board in an electronic database and retrieved during the relevant phase of the flight path of the aircraft. The NOTAM messages are then displayed to the pilot on a graphical display device on board the aircraft.
Abstract:
A method for providing air traffic control (ATC) message data onboard an aircraft is provided. The method identifies ATC commands associated with text-based messages, by at least one processor onboard the aircraft, wherein the ATC commands comprise instructions to follow one or more particular procedures associated with the ATC audio messages and the ATC direct text messages; identifies, by the at least one processor, graphical content associated with the ATC commands; and presents an ATC graphical rendering environment comprising at least the graphical content, via at least one aircraft onboard display communicatively coupled to the at least one processor.
Abstract:
Methods and systems are provided for classifying notice to airmen (NOTAM) alerts to a pilot of an aircraft. First, bundled NOTAMs are received during the flight planning process for the aircraft. A domain rules set for a filter engine on board the aircraft is created that prioritizes the bundled NOTAMs based on their criticality. The domain rules set is updated with weather data and day/night visibility analysis. The prioritized critical NOTAMs are stored on board in an electronic database and retrieved during the relevant phase of the flight path of the aircraft. The NOTAM messages are then displayed to the pilot on a graphical display device on board the aircraft.
Abstract:
A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer. The data fusion module also considers data prediction information upon receiving a request for predicted data when real-time data is unavailable.