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    Electrical power grid modeling
    11.
    发明授权
    Electrical power grid modeling 有权

    公开(公告)号：US11580728B2

    公开(公告)日：2023-02-14

    申请号：US17356897

    申请日：2021-06-24

    Applicant: X Development LLC

    Inventor： Ananya Gupta ,  Phillip Ellsworth Stahlfeld ,  Bangyan Chu

    IPC: G06T17/05 ,  G06K9/00 ,  G06T11/20 ,  G06T5/30 ,  G06T7/73 ,  G06T7/60 ,  G06F16/587 ,  G06F16/29 ,  H02J3/00 ,  G06V20/10 ,  G06T7/50 ,  G06F30/18 ,  G06K9/62

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid asset detection are enclosed. An electric grid asset detection method includes: obtaining overhead imagery of a geographic region that includes electric grid wires; identifying the electric grid wires within the overhead imagery; and generating a polyline graph of the identified electric grid wires. The method includes replacing curves in polylines within the polyline graph with a series of fixed lines and endpoints; identifying, based on characteristics of the fixed lines and endpoints, a location of a utility pole that supports the electric grid wires; detecting an electric grid asset from street level imagery at the location of the utility pole; and generating a representation of the electric grid asset for use in a model of the electric grid.

    IDENTIFYING ELECTRICAL PHASES OF ELECTRIC GRID WIRES
    12.
    发明申请
    IDENTIFYING ELECTRICAL PHASES OF ELECTRIC GRID WIRES 有权

    公开(公告)号：US20220357383A1

    公开(公告)日：2022-11-10

    申请号：US17729627

    申请日：2022-04-26

    Applicant: X Development LLC

    Inventor： Phillip Ellsworth Stahlfeld ,  Ananya Gupta

    IPC: G01R29/18 ,  G06V10/44 ,  G06T7/70

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying phases of electrical grid wires are disclosed. A method includes identifying, within an image of a utility pole, a cross-arm supporting multiple wires; identifying a cardinal orientation of the cross-arm based on characteristics of the image; and determining, based on the cardinal orientation of the cross-arm, an electrical phase for each of the wires supported by the cross-arm. Identifying the cardinal orientation of the cross-arm includes: determining an orientation of the cross-arm relative to an axis of a field of view of the image; determining a cardinal orientation of the axis of the field of view; and estimating the cardinal orientation of the cross-arm based on an angular difference between the orientation of the cross-arm relative to the axis of a field of view and the cardinal orientation of the axis of the field of view.

    Partitioning assets for electric grid connection mapping
    13.
    发明授权
    Partitioning assets for electric grid connection mapping 有权

    公开(公告)号：US12045025B1

    公开(公告)日：2024-07-23

    申请号：US18179452

    申请日：2023-03-07

    Applicant: X Development LLC

    Inventor： Ananya Gupta ,  Phillip Ellsworth Stahlfeld

    IPC: G05B19/042 ,  G06N20/00

    CPC classification number: G05B19/042 ,  G06N20/00 ,  G05B2219/2639

    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.

    TRAINING MACHINE LEARNING MODELS WITH SPARSE INPUT
    14.
    发明公开
    TRAINING MACHINE LEARNING MODELS WITH SPARSE INPUT 审中-公开

    公开(公告)号：US20240070459A1

    公开(公告)日：2024-02-29

    申请号：US18456792

    申请日：2023-08-28

    Applicant: X Development LLC

    Inventor： Artem Goncharuk ,  Robert Clapp ,  Kevin Forsythe Smith ,  Shiang Yong Looi ,  Ananya Gupta ,  Joses Bolutife Omojola ,  Min Jun Park

    IPC: G06N3/08 ,  G06N5/04

    CPC classification number: G06N3/08 ,  G06N5/04

    Abstract: This disclosure describes a system and method for effectively training a machine learning model to identify features in DAS and/or seismic imaging data with limited or no human labels. This is accomplished using a masked autoencoder (MAE) network that is trained in multiple stages. The first stage is a self-supervised learning (SSL) stage where the model is generically trained to predict data that has been removed (masked) from an original dataset. The second stage involves performing additional predictive training on a second dataset that is specific to a particular geographic region, or specific to a certain set of desired features. The model is fine-tuned using labeled data in order to develop feature extraction capabilities.

    PARTITIONING ASSETS FOR ELECTRIC GRID CONNECTION MAPPING
    17.
    发明申请
    PARTITIONING ASSETS FOR ELECTRIC GRID CONNECTION MAPPING 有权

    公开(公告)号：US20230050693A1

    公开(公告)日：2023-02-16

    申请号：US17819129

    申请日：2022-08-11

    Applicant: X Development LLC.

    Inventor： Ananya Gupta ,  Phillip Ellsworth Stahlfeld

    IPC: G05B19/042 ,  G06N20/00

    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a machine-learning model for predicting event tags. The system obtains asset data for an electric power distribution system in a geographic area. The asset data includes: for each of a plurality of electrical assets of the electrical power distribution system, data indicating one or more characteristics of the electrical asset. The system further obtains sensor data for the electric power distribution system. The sensor data includes measurement data from a plurality of electric sensors. The system generates, by processing the asset data and the sensor data, partition data that includes, for each of the plurality of electrical assets, an assignment that assigns the electrical asset to one of a set of feeder networks.

    FILLING GAPS IN ELECTRIC GRID MODELS
    18.
    发明申请
    FILLING GAPS IN ELECTRIC GRID MODELS 有权

    公开(公告)号：US20250037332A1

    公开(公告)日：2025-01-30

    申请号：US18759165

    申请日：2024-06-28

    Applicant: X Development LLC

    Inventor： Phillip Ellsworth Stahlfeld ,  Ananya Gupta

    IPC: G06T11/20 ,  G06V10/82 ,  G06V20/10 ,  G06V20/17

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for filling gaps in electric grid models are enclosed. A method includes obtaining vector data representing first portions of paths of electric grid wires over a geographic region; converting the vector data to first raster image data that depicts an overhead view of the electric grid wires including a first set of line segments representing the first portions of the paths; processing the first raster image data using a gap filling model; obtaining, as output from the gap filling model, second raster image data including a second set of line segments corresponding to gaps included in the input raster image data and representing second portions of paths of the electric grid wires; and converting the second raster image data to vector data representing the first portions and the second portions of paths of the electric grid wires.

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