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    Non-contact detection of electrical energy
    15.
    发明授权
    Non-contact detection of electrical energy 有权

    公开(公告)号：US11016132B2

    公开(公告)日：2021-05-25

    申请号：US16429506

    申请日：2019-06-03

    Applicant: X Development LLC

    Inventor： Leo Francis Casey ,  Siyuan Xin ,  Peter Evans ,  Shuyu Wang ,  Raymond Daly ,  C. O. Lee Boyce, Jr. ,  Joel Fraser Atwater

    IPC: G01R29/18

    Abstract: Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for obtaining a reference phase signal that is synchronized with an alternating current (AC) phase of a multi-phase electrical power distribution system. The apparatus obtains output signals from sensors, each output signal representative of an electromagnetic emission detected by a respective sensor. The apparatus identifies, based on comparing respective phases of the output signals to the reference phase signal, a particular AC phase of the multi-phase electrical power distribution system associated with a source of the emissions. The apparatus provides an indication of the particular AC phase to a user.

    NON-CONTACT DETECTION OF ELECTRICAL ENERGY
    16.
    发明申请
    NON-CONTACT DETECTION OF ELECTRICAL ENERGY 审中-公开

    公开(公告)号：US20200379025A1

    公开(公告)日：2020-12-03

    申请号：US16429506

    申请日：2019-06-03

    Applicant: X Development LLC

    Inventor： Leo Francis Casey ,  Siyuan Xin ,  Peter Evans ,  Shuyu Wang ,  Raymond Daly ,  C.O. Lee Boyce, JR. ,  Joel Fraser Atwater

    IPC: G01R29/18

    Abstract: Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for obtaining a reference phase signal that is synchronized with an alternating current (AC) phase of a multi-phase electrical power distribution system. The apparatus obtains output signals from sensors, each output signal representative of an electromagnetic emission detected by a respective sensor. The apparatus identifies, based on comparing respective phases of the output signals to the reference phase signal, a particular AC phase of the multi-phase electrical power distribution system associated with a source of the emissions. The apparatus provides an indication of the particular AC phase to a user.

    Constructive Dynamic Interaction Between Energy Kite and Floating Platform
    17.
    发明申请
    Constructive Dynamic Interaction Between Energy Kite and Floating Platform 审中-公开

    公开(公告)号：US20200208608A1

    公开(公告)日：2020-07-02

    申请号：US16233767

    申请日：2018-12-27

    Applicant: X Development LLC

    Inventor： Fort Felker ,  Charles Joseph Nordstrom ,  Joel Fraser Atwater

    IPC: F03D5/00 ,  B63B35/44 ,  F03D13/25

    Abstract: An example method includes: determining a period of natural oscillation of a floating ground station in an airborne wind turbine with an aerial vehicle coupled to the ground station via a tether, and wherein each natural-oscillation period comprises forward and backward displacement of the floating ground station with respect to the aerial vehicle; and operating the aerial vehicle to fly in a substantially circular path with a looping period that matches the natural-oscillation period of the floating ground station, and a looping phase that aligns with the oscillation phase of the floating ground station such that movement of the aerial vehicle on a downstroke portion the circular path corresponds to forward displacement of the floating ground station, and movement of the aerial vehicle on an upstroke portion the circular path corresponds to reverse displacement of the floating ground station.

    FISH MEASUREMENT STATION KEEPING
    18.
    发明申请
    FISH MEASUREMENT STATION KEEPING 审中-公开

    公开(公告)号：US20190340440A1

    公开(公告)日：2019-11-07

    申请号：US15970131

    申请日：2018-05-03

    Applicant: X Development LLC

    Inventor： Joel Fraser Atwater ,  Barnaby John James ,  Matthew Messana

    IPC: G06K9/00 ,  G06T7/20 ,  A01K61/95 ,  A01K61/10 ,  H04N5/232

    Abstract: A fish monitoring system deployed in a particular area to obtain fish images is described. Neural networks and machine-learning techniques may be implemented to periodically train fish monitoring systems and generate monitoring modes to capture high quality images of fish based on the conditions in the determined area. The camera systems may be configured according to the settings, e.g., positions, viewing angles, specified by the monitoring modes when conditions matching the monitoring modes are detected. Each monitoring mode may be associated with one or more fish activities, such as sleeping, eating, swimming alone, and one or more parameters, such as time, location, and fish type.

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