SYSTEM AND METHOD FOR INTEGRATING TEMPORAL DATA INTO FLIGHT MANAGEMENT SYSTEMS
    11.
    发明申请
    SYSTEM AND METHOD FOR INTEGRATING TEMPORAL DATA INTO FLIGHT MANAGEMENT SYSTEMS 有权
    将时间数据集成到飞行管理系统中的系统和方法

    公开(公告)号:US20170018191A1

    公开(公告)日:2017-01-19

    申请号:US14799097

    申请日:2015-07-14

    CPC classification number: G08G5/003 G01C21/20 G08G5/0004 G08G5/0047

    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 translation: 本文描述的实施例可以提供用于将传统导航数据与临时更新组合的系统和方法。 这种系统和方法可以促进将临时导航事件纳入飞行器飞行管理系统(FMS)上提供的导航数据中。 例如,系统和方法可用于将传统上在28天周期更新的航空情报调节和控制(AIRAC)导航数据与临时导航数据更改相结合,例如“通知给空军人员”(NOTAM )。 然后可以将组合的导航数据集提供给FMS。

    Systems and methods for cyber monitoring and alerting for connected aircraft

    公开(公告)号:US11509675B2

    公开(公告)日:2022-11-22

    申请号:US17097558

    申请日:2020-11-13

    Abstract: A method of monitoring network traffic of a connected vehicle. The method includes receiving network traffic information from a vehicle gateway, the network traffic information including malicious and/or benign information. The method also includes storing the network traffic information on a data server and periodically updating the network traffic information stored on the data server. The method further includes: pre-processing the network traffic information, the pre-processing the network traffic information including filtering and normalizing the network traffic information; generating a learning model based on the pre-processed network traffic information, the learning model being generated by an artificial intelligence learning; updating the learning model based on additional network traffic information, the additional network traffic information including real-time network data; in accordance with the updated learning model, detecting an anomaly event in the incoming network data; and generating a notification and/or blocking one or more packets associated with the incoming network data.

    SYSTEM AND METHOD FOR AN AUTOMATIC NOTIFICATION OF AN AIRCRAFT TRAJECTORY ANOMALY

    公开(公告)号:US20210020056A1

    公开(公告)日:2021-01-21

    申请号:US16513219

    申请日:2019-07-16

    Abstract: A system for detecting aircraft trajectory anomalies during takeoff or landing is configured to: identify, from a clearance message directed to a first aircraft, an approved runway and an approved landing or takeoff procedure; select a runway-specific trained model appropriate for the approved procedure, the selected trained model having been trained with historical track data from other aircraft performing the approved procedure in connection with the approved runway, the selected trained model configured to provide an expected trajectory for an aircraft during performance of the approved procedure in connection with the approved runway; receive aircraft state information from the first aircraft during performance of the approved procedure; monitor and compare the received aircraft state information to the expected trajectory from the trained model; identify an anomaly and generate an alert when the trajectory of the first aircraft deviates from the expected trajectory by more than a predetermined threshold level.

    Efficient time slot allocation for a flight plan of an aircraft

    公开(公告)号:US10354538B2

    公开(公告)日:2019-07-16

    申请号:US15710656

    申请日:2017-09-20

    Abstract: A system and method for determining an optimum flight slot for an aircraft are provided. The method, for example, may include, but is not limited to, receiving flight plan input data from a client device, generating a flight plan based upon the flight plan input data, the flight plan including a plurality of fixes, determining a plurality of time slots based upon the flight plan input data, determining a traffic density for each fix along the flight plan for each of the plurality of slots, the traffic density based upon a number of aircraft within a bounding area containing each respective fix, determining the optimum flight time slot from the plurality of time slots based upon a weighted summation of the traffic density for each fix along the flight plan for each of the plurality of slots, and transmitting the optimum flight time slot to the client device.

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