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Patent Agency Ranking
公开(公告)号：US20240212512A1
公开(公告)日：2024-06-27
申请号：US18069672
申请日：2022-12-21
Applicant: THE BOEING COMPANY
Inventor： Michael Christian Büddefeld , Hugo Eduardo Teomitzi , Anna-Lisa Mautes
IPC: G08G5/00
CPC classification number: G08G5/006 , G08G5/0026 , G08G5/0034 , G08G5/0039 , G08G5/0043 , G08G5/0082
Abstract: A method includes obtaining, at a device, source and destination data for one or more upcoming flights through a particular airspace. The method also includes obtaining, at the device, a map of societal impact hotspots associated with traffic through the particular airspace, and generating, based on the map of societal impact hotspots, a set of trajectories for the one or more upcoming flights through the particular airspace.
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公开(公告)号：US20240086208A1
公开(公告)日：2024-03-14
申请号：US18352947
申请日：2023-07-14
Applicant: The Boeing Company
Inventor： Jonas Schulze , Hilna Sahle , Anna-Lisa Mautes , Daniel Artic , Michael Gottscheck , Rahul Ashok , Neil Titchener , Nicholas Applegate , Hubert Wong , Nadine Akari , Lisa Liu , David Raymond , Brian Yutko
IPC: G06F9/451
CPC classification number: G06F9/451
Abstract: Systems and methods are provided for dynamically modeling and depicting overall emissions of the aviation industry and changes thereto when taking into account, for example, traffic growth and introduction of sustainability strategies, such as new and/or improved technologies, an increase in operational efficiency, and carbon offsets. Using the dynamic tool described herein, users can define scenarios on how to reduce emissions through the introduction of different sustainability strategies, both statically and over time, analyze the impact of those strategies on emissions, and understand the dependencies between select strategies.
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公开(公告)号：US20210343158A1
公开(公告)日：2021-11-04
申请号：US16863225
申请日：2020-04-30
Applicant: The Boeing Company
Abstract: A system and method for conducting preflight planning for autonomous flight missions of unmanned aerial vehicles (UAVs). The system includes use of a controller to conduct quantitative risk assessments of available digital data to predict low risk flight routes based on estimated flight risk profiles. The flight risk profiles may be based upon flight safety-critical information, including real time regulatory, airspace, obstacle, and infrastructure data sets. Among other data sets, the flight risk profiles may also account for current weather, current population and traffic data, and aircraft operational data specific to the UAV involved. Each risk assessment can generate a flight risk profile dependent on proposed times of travel, from which a low risk route may be predicted for any impending autonomous aircraft flight. Such risk assessments may enhance chances of expeditious regulatory acceptance of flight plans for such predetermined flight routes.
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公开(公告)号：US20240370805A1
公开(公告)日：2024-11-07
申请号：US18778693
申请日：2024-07-19
Applicant: The Boeing Company
Inventor： Jonas Schulze , Hilna Sahle , Anna-Lisa Mautes , Daniel Artic , Michael Gottscheck , Rahul Ashok , Neil Titchener , Nicholas Applegate , Hubert Wong , Nadine Akari , Lisa Liu , David Raymond , Brian Yutko , Addison Salzman , James Abel , Abhinav Mahesh
IPC: G06Q10/0637 , G06T11/20
Abstract: A method is presented for graphically displaying aviation emissions information. The method comprises receiving a global database comprising flight parameters for a plurality of flights over a time period, the flight parameters including at least aviation emissions information for each of the plurality of flights. Aspects of the aviation emissions information are graphically displayed on a display device based on a default model. One or more modeling strategies for reducing aviation emissions over time are presented on the display device via a graphic user interface (GUI). User input indicating input values for one or more strategic parameters of the one or more modeling strategies is received via the GUI. The strategic parameters are applied to the global database to generate modeled emissions information. The graphical display of aspects of the aviation emissions information is adjusted based on the modeled emissions information.
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公开(公告)号：US11514798B2
公开(公告)日：2022-11-29
申请号：US16863225
申请日：2020-04-30
Applicant: The Boeing Company
Abstract: A system and method for conducting preflight planning for autonomous flight missions of unmanned aerial vehicles (UAVs). The system includes use of a controller to conduct quantitative risk assessments of available digital data to predict low risk flight routes based on estimated flight risk profiles. The flight risk profiles may be based upon flight safety-critical information, including real time regulatory, airspace, obstacle, and infrastructure data sets. Among other data sets, the flight risk profiles may also account for current weather, current population and traffic data, and aircraft operational data specific to the UAV involved. Each risk assessment can generate a flight risk profile dependent on proposed times of travel, from which a low risk route may be predicted for any impending autonomous aircraft flight. Such risk assessments may enhance chances of expeditious regulatory acceptance of flight plans for such predetermined flight routes.
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