MULTI-USER COLLABORATION SYSTEM FOR GENERATIVE DESIGNS

    公开(公告)号:US20230297728A1

    公开(公告)日:2023-09-21

    申请号:US17696340

    申请日:2022-03-16

    Applicant: AUTODESK, INC.

    CPC classification number: G06F30/10 G06F2111/02

    Abstract: In various embodiments, a computer-implemented method comprises receiving, during a real-time collaboration session including a plurality of participants, a first input associated with a first selectable component from a set of pre-defined selectable components associated with a shared design model, where the first selectable component is associated with a first participant in the plurality of participants, in response to receiving a confirmation of the first input, modifying the shared design model to generate an updated shared design model, wherein the first selectable component in the updated shared design model includes the modified first selectable component, and causing the updated shared design model to be synchronized with at least one other participant in a plurality of participants included in the real-time collaboration session.

    TECHNIQUES FOR DESIGNING MANUFACTURING FACILITIES

    公开(公告)号:US20220318446A1

    公开(公告)日:2022-10-06

    申请号:US17220808

    申请日:2021-04-01

    Applicant: AUTODESK, INC.

    Abstract: Techniques are disclosed for designing manufacturing facilities. A design application imports a computer-aided design (CAD) model and metadata associated with a manufacturing facility to generate a data set that specifies geometric and manufacturing constraints of the manufacturing facility. The design application performs optimization operations based on the data set to identify one or more high-performing designs that assign components to docks in the manufacturing facility. The optimization operations can include genetic optimization operations that generate multiple generations of designs, each of which is evaluated based on a travel distance, congestion, and number of turns associated with paths traversed by components for the design.

    COMPUTER-IMPLEMENTED METHOD FOR SPACE FRAME DESIGN, SPACE FRAME CONSTRUCTION KIT AND SPACE FRAME

    公开(公告)号:US20220100920A1

    公开(公告)日:2022-03-31

    申请号:US17496677

    申请日:2021-10-07

    Applicant: AUTODESK, INC.

    Abstract: A computer-implemented method for space frame design involves constructing a load stress map in a geometrical boundary representation of a design space, defining attachment points and load application points in the design space, creating a starting network of interconnecting lines between each two of the attachment points and load application points in the design space, assigning load application factors to each line of the starting network of interconnecting lines based on values of the load stress map, generating potential space frame designs by culling different subsets of lines of the starting network of interconnecting lines for each potential space frame design according to variable culling parameters, evaluating the potential space frame designs with respect to optimization parameters, combining the culling parameters for the potential space frame designs the performance score of which is above a predefined performance threshold, and iterating the steps of generating potential space frame designs and evaluating the potential space frame designs on the basis of the combined culling parameters.

    GENERATING DESIGNS FOR MULTI-FAMILY HOUSING PROJECTS USING HISTORICAL DESIGN TRENDS

    公开(公告)号:US20210150084A1

    公开(公告)日:2021-05-20

    申请号:US17099708

    申请日:2020-11-16

    Applicant: AUTODESK, INC.

    Abstract: A design engine is configured to automatically generate designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. The design engine includes a design analyzer that generates design trends based on a database of historical designs. A feature extractor within the design analyzer performs a geometrical analysis of the historical designs to generate a library of features. A feature parameterizer within the design analyzer performs a parameterization process to generate one or more parametric values for each feature. A parameter correlator within the design analyzer compares different subsets of parametric values to identify relationships between those values. A trend aggregator identifies relationships that occur across multiple historical designs to determine a set of design trends. The design engine generates design options using the design trends. Design options generated in this manner include design features that historically promote both feasibility and desirability.

    TECHNIQUES FOR DESIGN SPACE EXPLORATION IN A MULTI-USER COLLABORATION SYSTEM

    公开(公告)号:US20240028787A1

    公开(公告)日:2024-01-25

    申请号:US17889287

    申请日:2022-08-16

    Applicant: AUTODESK, INC.

    CPC classification number: G06F30/20 G06T15/005

    Abstract: One embodiment of a computer-implemented method for generating design solutions to one or more design problems comprises receiving a first design model that is associated with a first design problem; generating a first multi-dimensional data point based on the first design model; mapping the first design model to a first node of a trained self-organizing map based on the first multi-dimensional data point, wherein the first node corresponds to a first location within a design space; and displaying a visual representation of the first design model residing at the first location within the design space based on the first node.

    VOXEL-BASED APPROACH FOR DESIGN MODELS
    16.
    发明公开

    公开(公告)号:US20230298259A1

    公开(公告)日:2023-09-21

    申请号:US17832127

    申请日:2022-06-03

    Applicant: AUTODESK, INC.

    Abstract: A voxel-based design approach enables the creating and modifying of a design model comprising a 3D grid of discrete voxels that is represented by a voxel data structure. The voxel data structure comprises voxel-level entries, each entry corresponding to a voxel based on the 3D location within the 3D grid. The voxel data structure includes a design-level entry for storing design-level performance metrics. The system updates the voxel data structure to reflect user modifications to the design model and renders a visualization of the updated design model. The system displays a per-voxel heat map for the design model for a selected performance metric based on the voxel data structure. The design system displays multiple optimized design solutions based on corresponding optimized voxel data structures. The system generates the multiple optimized design solutions based on a voxel-based optimization technique. The system also performs a voxel-based recommendation visualization technique.

    DETERMINING COLLABORATION SCORES FOR GENERATING A SHARED DESIGN

    公开(公告)号:US20230297928A1

    公开(公告)日:2023-09-21

    申请号:US17718181

    申请日:2022-04-11

    Applicant: AUTODESK, INC.

    CPC classification number: G06Q10/06398 G06F30/12 G06F30/13 G06F2111/02

    Abstract: In various embodiments, a computer-implemented method comprises receiving, during a real-time collaboration session, a first input associated with a first selectable component, where the first selectable component is included in a set of pre-defined selectable components associated with a shared design model, and the first selectable component is a first component type that includes a first set of characteristics, in response to receiving a confirmation of the first input, modifying the shared design model to generate a modified shared design model, where the modified shared design model includes the first selectable component, computing, based on the modified shared design model, a set of metrics including a first behavioral metric, computing, based on the set of metrics, a first collaboration score for a first participant and at least one other participant, and displaying a design space that includes the modified shared design model and the first collaboration score.

    GENERATING DESIGNS FOR MULTI-FAMILY HOUSING PROJECTS THAT BALANCE COMPETING DESIGN METRICS

    公开(公告)号:US20210150083A1

    公开(公告)日:2021-05-20

    申请号:US17099649

    申请日:2020-11-16

    Applicant: AUTODESK, INC.

    Abstract: A design engine is configured to automatically generate designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. A design generator within the design engine generates a first generation of design options that reflect historical design trends. A design evaluator within the design engine then generates design metrics that quantify various attributes of the different design options. The design generator identifies a subset of the design options that optimally balance some or all of the various design metrics, and then generates a subsequent generation of design options that includes design features derived from the subset of design options.

    BRANCH OBJECTS FOR DEPENDENT OPTIMIZATION PROBLEMS

    公开(公告)号:US20210124566A1

    公开(公告)日:2021-04-29

    申请号:US17141087

    申请日:2021-01-04

    Applicant: AUTODESK, INC.

    Abstract: A workflow engine processes a work problem to generate solutions for the work problem comprising a plurality of related optimization problems. The work problem may comprise a second optimization problem that is dependent on a first optimization problem, such that at least one solution for the first optimization problem is to be utilized as an initial solution for the second optimization problem. The workflow engine generates and stores a branch object for each optimization problem, each branch object specifying a solver engine assigned for processing the optimization problem and dependency information indicating a dependency relationship between the optimization problem and another optimization problem. The workflow engine processes the work problem based on the branch objects by initiating each solver engine to perform optimization operations on the assigned optimization problem based on the corresponding branch object to generate one or more solutions for the assigned optimization problem.

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