公开(公告)号：US20190147117A1

公开(公告)日：2019-05-16

申请号：US16182557

申请日：2018-11-06

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  James STODDART ,  Lorenzo VILLAGGI ,  Danil NAGY

IPC: G06F17/50 ,  G06Q50/16 ,  G06Q10/06 ,  G06Q40/00

Abstract: An urban design pipeline automatically generates design options for an urban design project based on a financial model. The urban design pipeline includes a geometry engine that generates candidate designs to meet various design criteria and design objectives associated with the urban design project. The urban design pipeline also includes an evaluation engine that evaluates the candidate designs based on the financial model. The financial model quantifies the financial performance of any given candidate design. The urban design pipeline operates iteratively to improve the candidate designs until one or more convergence criteria are met, thereby generating a set of design options with acceptable financial performance.

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.

Inventor： Dale ZHAO ,  David BENJAMIN ,  Rui WANG

IPC: G06F30/20 ,  G06T15/00

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.

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.

Inventor： Dale ZHAO ,  David BENJAMIN ,  Rui WANG

IPC: G06T15/08 ,  G06T19/20 ,  G06F30/10

CPC classification number: G06T15/08 ,  G06T19/20 ,  G06F30/10 ,  G06T2219/2021 ,  G06T2219/2012 ,  G06T2219/024

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.

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.

Inventor： David BENJAMIN ,  Dale ZHAO ,  Rui WANG

IPC: G06Q10/06 ,  G06F30/12 ,  G06F30/13

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.

公开(公告)号：US20230061993A1

公开(公告)日：2023-03-02

申请号：US18045809

申请日：2022-10-11

Applicant: AUTODESK, INC.

Inventor： Danil NAGY ,  Daniel NOVIELLO ,  James STODDART ,  David BENJAMIN ,  Damon LAU

IPC: G06N3/04 ,  G06F17/15 ,  G06N3/08 ,  G06F30/15

Abstract: A design application is configured to generate a latent space representation of a fleet of pre-existing vehicles. The design application encodes vehicle designs associated with the fleet of pre-existing vehicles into the latent space representation to generate a first latent space location. The first latent space location represents the characteristic style associated with the fleet of pre-existing vehicles. The design application encodes a sample design provided by a user into the latent space representation to produce a second latent space location. The design application then determines a distance between the first latent space location and the second latent space location. Based on the distance, the design application generates a style metric that indicates the aesthetic similarity between the sample design and the vehicle designs associated with the fleet of pre-existing vehicles. The design application can also generate new vehicle designs based on the latent space representation and the sample design.

公开(公告)号：US20210150442A1

公开(公告)日：2021-05-20

申请号：US17098214

申请日：2020-11-13

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  Damon LAU ,  James STODDART ,  Lorenzo VILLAGGI ,  Rui WANG ,  Lindsey WIKSTROM

IPC: G06Q10/06 ,  G06Q10/04 ,  G06Q50/16 ,  G06Q10/10 ,  G06F16/901 ,  G06F30/13

Abstract: One embodiment sets forth a computer-implemented method for measuring productivity in buildings and workplaces. The method includes receiving workstation data for a plurality of workstations for the building and operation data for a plurality of operations for the building; generating a building layout specifying, for each workstation of the plurality of workstations, a respective location of the workstation; generating, for each operation of the plurality of operations, a respective productivity value based on the workstation data, the operation data, and the locations of the plurality of workstations; and calculating, based on the productivity values of the plurality of operations, one or more overall productivity values associated with the building layout.

公开(公告)号：US20210150109A1

公开(公告)日：2021-05-20

申请号：US17098282

申请日：2020-11-13

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  Damon LAU ,  James STODDART ,  Lorenzo VILLAGGI ,  Rui WANG ,  Lindsey WIKSTROM

IPC: G06F30/28 ,  G06F30/13

Abstract: A computer-implemented method for computationally determining ventilation efficiency when generating a building design comprises: generating a first three-dimensional (3D) mesh based on a first 3D building model; performing a first fluid dynamic computer simulation based on the first 3D mesh and first environmental data associated with the first 3D building model to generate a first output data set; and computing, based on the first output data set, a first value for a ventilation performance metric that is associated with the first 3D building model.

公开(公告)号：US20210150105A1

公开(公告)日：2021-05-20

申请号：US17098228

申请日：2020-11-13

Applicant: AUTODESK, INC.

Inventor： David BENJAMIN ,  Damon LAU ,  James STODDART ,  Lorenzo VILLAGGI ,  Rui WANG ,  Lindsey WIKSTROM

IPC: G06F30/20 ,  G06F30/13

Abstract: Various embodiments set forth systems and techniques for generating work condition values for a building layout. The techniques include receiving a building layout specifying, for each workspace of a plurality of workspaces included in the workplace, a respective location of the workspace; selecting one or more work condition elements from a plurality of work condition elements based at least on the plurality of workspaces; for each work condition element of the one or more work condition elements: evaluating the plurality of workspaces based on the work condition element; based on the evaluating the plurality of workspaces, generating an element value corresponding to the work condition element; and computing, based on element values corresponding to the one or more work condition elements, an overall work condition value associated with the building layout.

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.

Inventor： David BENJAMIN ,  Dale ZHAO ,  Lorenzo VILLAGGI

IPC: G06F30/12 ,  G06F30/13 ,  G06F30/20

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.

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.

Inventor： David BENJAMIN ,  Dale ZHAO

IPC: G06F8/41 ,  G06F3/0481 ,  G06F30/00

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.