Enhanced processing of time series data via parallelization of instructions

    公开(公告)号:US12248519B2

    公开(公告)日:2025-03-11

    申请号:US18483042

    申请日:2023-10-09

    Abstract: Systems and methods are provided for enhanced processing of time series data via parallelization of instructions. An example method includes receiving a query indicating time series datasets and operations to be performed on the time series datasets. Nodes associated with the query are identified, with each node associated with a time series dataset. Nodes associated with operations to be performed are generated. The nodes are assembled into query tree, with parent nodes of the query tree indicating operations that are to be applied to children nodes. Instructions for processing the query tree are generated. At least a subset of the instructions is provided to one or more compute systems for processing in parallel. Results are received, and presented in a user interface.

    Interactive geospatial map and geospatial visualization systems

    公开(公告)号:US11269931B2

    公开(公告)日:2022-03-08

    申请号:US16535983

    申请日:2019-08-08

    Abstract: A computer-implemented method is provided to visualize data related to one or more assets utilizing an interactive geospatial map. The system may receive query criteria, indicating a geographic region of interest and/or timespan of interest, and may access a plurality of datasets including a first dataset comprising data items associated with default locations of assets and a second dataset comprising data items associated with transit events of assets, and wherein the plurality of datasets are associated with geographic locations and respective times. The system may query the plurality of datasets to determine, for assets associated with the one or more data items, expected geographic locations of the assets, and may generate user interface data configured for rendering an interactive user interface including an interactive geospatial map with indications of the expected geographic locations of the assets, and a plurality of interactive tables.

    ENHANCED PROCESSING OF TIME SERIES DATA VIA PARALLELIZATION OF INSTRUCTIONS

    公开(公告)号:US20220035871A1

    公开(公告)日:2022-02-03

    申请号:US17450924

    申请日:2021-10-14

    Abstract: Systems and methods are provided for enhanced processing of time series data via parallelization of instructions. An example method includes receiving a query indicating time series datasets and operations to be performed on the time series datasets. Nodes associated with the query are identified, with each node associated with a time series dataset. Nodes associated with operations to be performed are generated. The nodes are assembled into query tree, with parent nodes of the query tree indicating operations that are to be applied to children nodes. Instructions for processing the query tree are generated. At least a subset of the instructions is provided to one or more compute systems for processing in parallel. Results are received, and presented in a user interface.

    INTERACTIVE GEOSPATIAL MAP AND GEOSPATIAL VISUALIZATION SYSTEMS

    公开(公告)号:US20220215044A1

    公开(公告)日:2022-07-07

    申请号:US17585360

    申请日:2022-01-26

    Abstract: A computer-implemented method is provided to visualize data related to one or more assets utilizing an interactive geospatial map. The system may receive query criteria, indicating a geographic region of interest and/or timespan of interest, and may access a plurality of datasets including a first dataset comprising data items associated with default locations of assets and a second dataset comprising data items associated with transit events of assets, and wherein the plurality of datasets are associated with geographic locations and respective times. The system may query the plurality of datasets to determine, for assets associated with the one or more data items, expected geographic locations of the assets, and may generate user interface data configured for rendering an interactive user interface including an interactive geospatial map with indications of the expected geographic locations of the assets, and a plurality of interactive tables.

    ENHANCED PROCESSING OF TIME SERIES DATA VIA PARALLELIZATION OF INSTRUCTIONS

    公开(公告)号:US20200089710A1

    公开(公告)日:2020-03-19

    申请号:US16533016

    申请日:2019-08-06

    Abstract: Systems and methods are provided for enhanced processing of time series data via parallelization of instructions. An example method includes receiving a query indicating time series datasets and operations to be performed on the time series datasets. Nodes associated with the query are identified, with each node associated with a time series dataset. Nodes associated with operations to be performed are generated. The nodes are assembled into query tree, with parent nodes of the query tree indicating operations that are to be applied to children nodes. Instructions for processing the query tree are generated. At least a subset of the instructions is provided to one or more compute systems for processing in parallel. Results are received, and presented in a user interface.

    Enhanced processing of time series data via parallelization of instructions

    公开(公告)号:US11151197B2

    公开(公告)日:2021-10-19

    申请号:US16533016

    申请日:2019-08-06

    Abstract: Systems and methods are provided for enhanced processing of time series data via parallelization of instructions. An example method includes receiving a query indicating time series datasets and operations to be performed on the time series datasets. Nodes associated with the query are identified, with each node associated with a time series dataset. Nodes associated with operations to be performed are generated. The nodes are assembled into query tree, with parent nodes of the query tree indicating operations that are to be applied to children nodes. Instructions for processing the query tree are generated. At least a subset of the instructions is provided to one or more compute systems for processing in parallel. Results are received, and presented in a user interface.

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