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1.发明授权公开(公告)号：US12211251B2
公开(公告)日：2025-01-28
申请号：US18210352
申请日：2023-06-15
Applicant: X Development LLC
Inventor： Phillip Ellsworth Stahlfeld
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting locations of utility assets. One of the methods includes receiving an input image of an area in a first geographical region; generating, from the input image and using a generative adversarial network, a corresponding reference image; and generating, by an object detection model and from the reference image, an output that identifies respective locations of one or more utility assets with reference to the input image.
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公开(公告)号：US20240411950A1
公开(公告)日：2024-12-12
申请号：US18741651
申请日：2024-06-12
Applicant: X Development LLC
Inventor： Hamed Khalilinia , Raymond Daly , Arthur Robert Pope , Sushant Kumar , Sergei Babinskii , Phillip Ellsworth Stahlfeld , Laura Elizabeth Fedoruk , Aryeh Benjamin Hillman
IPC: G06F30/18
Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for an access controlled power grid model. A power grid model can include multiple regions. Access can be provided only to a subset of regions based on access privileges, and the user can be denied access to regions of the power grid model outside of the subset. A simulation can be executed using input from the user and can include simulation parameters for at least one of the regions in the subset. The simulation can be executed on the regions of the power grid model in the subset and at least one additional region that is not in the subset. The simulation can produce results that can include electrical values of components in the regions within the subset and values of components in at least one additional region. The output can include only the simulation results for regions within the subset.
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公开(公告)号：US12056798B2
公开(公告)日：2024-08-06
申请号：US17718840
申请日：2022-04-12
Applicant: X Development LLC
Inventor： Phillip Ellsworth Stahlfeld , Ananya Gupta
CPC classification number: G06T11/203 , G06V10/82 , G06V20/17 , G06V20/176 , G06V20/182 , G06V20/194
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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公开(公告)号：US11875561B2
公开(公告)日：2024-01-16
申请号：US18107876
申请日：2023-02-09
Applicant: X Development LLC
Inventor： Ananya Gupta , Phillip Ellsworth Stahlfeld , Bangyan Chu
IPC: G06V20/10 , G06T7/50 , G06T7/73 , G06F30/18 , G06F16/587 , G06F16/29 , G06T5/30 , G06T7/60 , G06T11/20 , G06T17/05 , H02J3/00 , G06F18/2413
CPC classification number: G06V20/182 , G06F16/29 , G06F16/587 , G06F18/24133 , G06F30/18 , G06T5/30 , G06T7/50 , G06T7/60 , G06T7/73 , G06T7/75 , G06T11/206 , G06T17/05 , G06V20/176 , H02J3/00 , G06T2207/10032 , G06T2207/30184 , G06V20/194 , H02J2203/20
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.
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公开(公告)号：US20210407187A1
公开(公告)日：2021-12-30
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
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.
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Patent Agency Ranking
公开(公告)号：US20240249044A1
公开(公告)日：2024-07-25
申请号：US18099154
申请日：2023-01-19
Applicant: X Development LLC
Inventor： Ananya Gupta , Mike Miao He , Xinyue Li , Phillip Ellsworth Stahlfeld
IPC: G06F30/27
CPC classification number: G06F30/27 , G06F2113/04
Abstract: In one aspect, there is provided a method for training a machine learning model to process a graph that represents an electrical system to infer, from the graph, one or more unknown electrical values within the electrical system. In particular, the method includes: obtaining data defining multiple graphs, each graph representing a respective electrical system topology, obtaining, for each electrical system topology and from an electrical simulation system, simulation results indicating an electrical behavior of the respective electrical system topology, and training the machine learning model to predict electrical behaviors of electrical systems including by applying data defining each graph as input to the machine learning model to obtain respective output inferences and adjusting machine learning model parameters responsive to comparisons between the output inferences with simulation results of corresponding electrical system topologies.
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公开(公告)号：US20230280712A1
公开(公告)日：2023-09-07
申请号：US17687823
申请日：2022-03-07
Applicant: X Development LLC
Inventor： Ananya Gupta , Phillip Ellsworth Stahlfeld
IPC: G05B19/042 , G06F16/901
CPC classification number: G05B19/0428 , G06F16/9024 , G05B2219/2639
Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for electric grid model error reduction are enclosed. A method includes obtaining graph data defining a graph including nodes and edges. Each node represents a component of an electric grid and is associated with respective node data representing electrical properties of the component of the electric grid, each edge represents a connection between components of the electric grid and is associated with respective edge data representing electrical properties of the connection, and the graph data includes one or more errors, each error including erroneous node data or erroneous edge data. The method includes processing the graph data using an error-correcting model trained to correct errors in the graph data; obtaining, as output from the error-correcting model, output graph data; and verifying accuracy of the output graph data by processing the output graph data using an electric grid simulator.
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公开(公告)号：US20220375219A1
公开(公告)日：2022-11-24
申请号：US17740873
申请日：2022-05-10
Applicant: X Development LLC
Inventor： Ananya Gupta , Peter Evans , Leo Francis Casey , Phillip Ellsworth Stahlfeld
Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for predicting connections in electric grid models are disclosed. A method includes obtaining geospatial data representing a geographic area that includes an electrical distribution system; and generating, from the geospatial data, asset data that represents characteristics of electrical distribution system assets. The asset data includes: load data representing electrical loads of the electrical distribution system; and node data representing nodes of the electrical distribution system. The method includes processing the asset data using a connection model that is configured to predict electrical connections between assets of the electrical distribution system; and obtaining, from the connection model; output data indicating predicted electrical connections between assets of the electrical distribution system. The geospatial data includes at least one of overhead imagery or street level imagery of the geographic area.
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公开(公告)号：US20220335669A1
公开(公告)日：2022-10-20
申请号：US17718840
申请日：2022-04-12
Applicant: X Development LLC
Inventor： Phillip Ellsworth Stahlfeld , Ananya Gupta
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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公开(公告)号：US20240110964A1
公开(公告)日：2024-04-04
申请号：US17955857
申请日：2022-09-29
Applicant: X Development LLC
Inventor： Ananya Gupta , Phillip Ellsworth Stahlfeld
CPC classification number: G01R31/086 , H02J13/0001
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for developing electrical grid mapping. One of the methods includes obtaining a computer model of an electric power grid; generating a network graph representation of the computer model, wherein nodes of the network graph represent grid assets of the computer model and edges of the network graph represent wires connecting the grid assets; generating an initial prediction of links between nodes in the network graph by adding at least one edge to the network graph to obtain an over-connected graph; applying the over-connected network graph as input to a machine learning model to obtain an annotated network graph, the machine learning model configured to identify edges as positive links and negative links, and apply annotations to the edges indicating whether each edge is a positive or negative link; and updating the model based on the annotated network graph.
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