SYSTEMS AND METHODS FOR AIRCRAFT DIGITAL TWIN MANAGEMENT AND QUERY

    公开(公告)号:US20250157339A1

    公开(公告)日:2025-05-15

    申请号:US18507753

    申请日:2023-11-13

    Abstract: Systems, apparatus, computer-readable medium, and associated methods to manage a network of digital twins are disclosed. An example apparatus includes memory circuitry to store a plurality of snapshots, each snapshot including a plurality of digital twin models interconnected by a plurality of connections, the plurality of digital twin models including a first digital twin model of a first asset and a second digital twin model of a second asset, the plurality of connections including a first connection between the first digital twin model and the second digital twin model, the first connection representing a relationship between the first digital twin model and the second digital twin model at a specified point in time. The example apparatus includes processing circuitry to process the query to identify the first snapshot and the second snapshot, determine a correlation, and generate the result with an actionable output.

    METHODS AND SYSTEMS FOR IDENTIFYING GAPS IN PREDICTIVE MODEL ONTOLOGY

    公开(公告)号:US20180137424A1

    公开(公告)日:2018-05-17

    申请号:US15354235

    申请日:2016-11-17

    CPC classification number: G06N5/022 G06F16/9024

    Abstract: Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.

    METHODS AND SYSTEMS FOR CAPTURING ANALYTIC MODEL AUTHORING KNOWLEDGE

    公开(公告)号:US20180129941A1

    公开(公告)日:2018-05-10

    申请号:US15347887

    申请日:2016-11-10

    CPC classification number: G06N5/02 G06F16/90335 G06Q10/04

    Abstract: Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.

    Methods and systems for capturing analytic model authoring knowledge

    公开(公告)号:US10970634B2

    公开(公告)日:2021-04-06

    申请号:US15347887

    申请日:2016-11-10

    Abstract: Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.

    METHODS AND SYSTEMS FOR PROGRAMMATICALLY SELECTING PREDICTIVE MODEL PARAMETERS

    公开(公告)号:US20180129959A1

    公开(公告)日:2018-05-10

    申请号:US15347844

    申请日:2016-11-10

    CPC classification number: G06N20/00 G06N5/022

    Abstract: Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.

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