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    MONETARY VULNERABILITY ASSESSMENT (MVA) OF A REPARABLE INFRASTRUCTURE SYSTEM
    21.
    发明公开
    MONETARY VULNERABILITY ASSESSMENT (MVA) OF A REPARABLE INFRASTRUCTURE SYSTEM 审中-公开

    公开(公告)号：US20230318920A1

    公开(公告)日：2023-10-05

    申请号：US17708971

    申请日：2022-03-30

    申请人： Autodesk, Inc.

    发明人： Junje Ro

    IPC分类号： H04L41/0823 ,  H04L41/0826 ,  H04L41/14 ,  H04L41/142

    CPC分类号： H04L41/0836 ,  H04L41/142 ,  H04L41/145 ,  H04L41/0826

    摘要： A method and system provide the ability to estimate the vulnerability of a repairable infrastructure system. A survival curve is constructed for one or more assets. A rehabilitation plan is prescribed for one or more failure states of the repairable infrastructure system. A cost estimation model is constructed for costs associated with the repairs for each of the failure states. A planning basis is specified. A multiple probability simulation is conducted that estimates a potential restoration cost for a possible failure. The simulation is repeated to acquire a distribution of potential restoration costs. A vulnerability estimation is determined and provided based on the distribution.

    Techniques for generating comprehensive information models for automobile designs
    24.
    发明授权
    Techniques for generating comprehensive information models for automobile designs 有权

    公开(公告)号：US11775709B2

    公开(公告)日：2023-10-03

    申请号：US16387526

    申请日：2019-04-17

    申请人： AUTODESK, INC.

    发明人： James Stoddart ,  David Benjamin ,  Danil Nagy ,  Damon Lau ,  Daniel Noviello

    IPC分类号： G06F30/23 ,  G06F30/15 ,  G06T19/00 ,  G06T17/00

    CPC分类号： G06F30/23 ,  G06F30/15 ,  G06T19/00 ,  G06T2210/36

    摘要： In various embodiments, an automobile modeling application generates automobile designs. In operation, the automobile modeling application determines a first parameter value associated with a first instance of a first parameterized automobile component. The automobile modeling application then computes a second parameter value associated with a second instance of a second parameterized automobile component based on a structural relationship between the first instance and the second instance. Subsequently, the automobile modeling application generates a computer-aided design (CAD) geometry model for an automobile based on the first parameter value, the second parameter value, and one or more functional relationships defined between two or more instances included in a set of parameterized automobile component instances. Advantageously, because the automobile modeling application automatically propagates changes throughout the automobile design, the amount of time required to make significant changes to the automobile design can be substantially reduced.

    VOXEL-BASED APPROACH FOR DESIGN MODELS
    25.
    发明公开
    VOXEL-BASED APPROACH FOR DESIGN MODELS 审中-公开

    公开(公告)号：US20230298291A1

    公开(公告)日：2023-09-21

    申请号：US17832116

    申请日：2022-06-03

    申请人： AUTODESK, INC.

    发明人： Dale ZHAO ,  David BENJAMIN ,  Rui WANG

    IPC分类号： G06T19/20 ,  G06T15/08 ,  G06F30/20

    CPC分类号： G06T19/20 ,  G06T15/08 ,  G06F30/20 ,  G06T2210/04 ,  G06T2219/2021 ,  G06T2219/2012 ,  G06T2200/24

    摘要： 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.

    COMPUTER-AIDED TECHNIQUES FOR AUTOMATICALLY GENERATING DESIGNS THAT REFLECT DESIGN INTENTS
    26.
    发明公开
    COMPUTER-AIDED TECHNIQUES FOR AUTOMATICALLY GENERATING DESIGNS THAT REFLECT DESIGN INTENTS 审中-公开

    公开(公告)号：US20230281349A1

    公开(公告)日：2023-09-07

    申请号：US17687535

    申请日：2022-03-04

    申请人： AUTODESK, INC.

    发明人： Yi WANG ,  Mehdi NOURBAKHSH ,  Dale ZHAO

    IPC分类号： G06F30/13 ,  G06F30/12

    CPC分类号： G06F30/13 ,  G06F30/12

    摘要： In various embodiments, an intent-driven layout application automatically generates design for floor spaces. The intent-driven layout application generates a logic formula based on a statement of a design intent and at least one fuzzy geometric predicate. The intent-driven layout application computes, for a first spatial object, a set of desirability values for a set of candidate placements within a first design based on the logic formula. Based on the set of desirability values, the intent-driven layout application selects a first candidate placement from the set of candidate placements. Subsequently, the intent-driven layout application generates a second design based on the first design, where the first spatial object has the first candidate placement within the second design.

    Automated generation and evaluation of architectural designs
    27.
    发明授权
    Automated generation and evaluation of architectural designs 有权

    公开(公告)号：US11748527B2

    公开(公告)日：2023-09-05

    申请号：US17820867

    申请日：2022-08-18

    申请人： AUTODESK, INC.

    发明人： James Stoddart ,  Danil Nagy ,  David Benjamin ,  Lorenzo Villagi

    IPC分类号： G06F30/13

    CPC分类号： G06F30/13

    摘要： A design engine is configured to interact with potential occupants of a structure in order to generate data that defines the usage preferences of those occupants. The design engine generates multiple candidate designs for the structure via a generative design process, and then evaluates each candidate design using a set of metrics determined relative to the usage preferences. Based on these evaluations, the design engine selects at least one candidate design that optimizes the set of metrics across all potential occupants.