IP Library › Granted Patent US 10,628,535
Granted Patent B2
US 10,628,535 · App. 15/091,321 · Granted Apr 21, 2020

Complete energy analytical model building information modeling (BIM) integration

Inventors: John William Mitchell (Hartsdale, NY); Ian Patrick Molloy (Waltham, MA)
Assignee: AUTODESK, INC.
G06F17/5004F24F11/46G06F17/5009G06F2217/16
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Quick Facts
Patent No.
US 10,628,535
App. No.
15/091,321
Granted
Apr 21, 2020
Kind
B2
Abstract

A method and system provide a complete energy analytical model. An input model is acquired and consists of a combination of architectural building elements (ABEs) and conceptual massing elements (CMEs). The input model is pre-processed by extracting information from both the ABEs and the CMEs, and constructing virtual elements that encapsulate the extracted information. A discrete set of points in three-dimensional (3D) space that is distributed over boundary faces of the ABEs or CMEs is determined. The discrete set of points is used to provide a representation of the input model that is used in combination with a 3D cubical grid (a voxel grid) to analyze a spatial structure of the input model. A two-dimensional (2D) discrete approximation of the geometry of the input model is used to determine surfaces of the energy analytical model which is then output.

Claims (42)

1. A computer implemented method for providing a complete energy analytical model comprising:

(a) acquiring an input model, wherein the input model comprises a combination of one or more architectural building elements (ABEs) and one or more conceptual massing elements (CMEs), wherein:

(1) the ABEs comprise individual objects that represent individual physical components of a building without explicitly modeling 3D spaces for the input model;

(2) the individual physical components comprise walls, floors, windows, and roofs;

(3) the ABEs represent characteristics of physical and geometric forms of architectural elements of the building; and

(4) inaccuracies between ABEs exist in the input model;

(5) the CME comprises a representation of the input model as a single composite 3D solid;

(b) pre-processing the input model, wherein the pre-processing:

(1) extracts information from both the ABEs and the CMEs in the input model; and

(2) constructs a virtual element that encapsulates the extracted information;

(c) determining a discrete set of points in three-dimensional (3D) space, distributed over boundary faces of the ABEs or CMEs;

(d) providing, using the discrete set of points, a representation of the input model that is used to analyze a spatial structure of the input model;

(e) approximating a geometry of the input model utilizing a two-dimensional (2d) discrete approach;

(f) based on the spatial structure and the approximated geometry of the input model, determining surfaces of the energy analytical model wherein the energy analytical model is not a precisely accurate airtight energy analytical model, wherein in a precisely accurate airtight energy analytical model analytic faces meet without any gaps to bound 3D spaces;

(f) outputting the energy analytical model comprised of the spatial structure and the surfaces; and

(g) simulating energy usage of a building represented by the energy analytical model.

2. The computer-implemented method of claim 1 , wherein:

the information comprises a surface and a material/thermal property.

3. The computer-implemented method of claim 1 , wherein:

the surface comprises a face of one or more of the CMEs or the ABEs.

4. The computer-implemented method of claim 1 , wherein:

the information comprises a category of one of the CMEs or one of the ABEs.

5. The computer-implemented method of claim 1 , wherein:

the information comprises a level associated with one of the CMEs or one of the ABEs.

6. The computer-implemented method of claim 1 , wherein:

the virtual element comprises a list of faces defining a three-dimensional (3D) shape and a separate list of faces used to construct surfaces.

7. The computer-implemented method of claim 1 , wherein:

the discrete set of points comprises a point cloud.

8. The computer-implemented method of claim 1 , wherein the providing the discrete set of points further comprises: determining the spatial structure of the input model using a 3D voxel grid.

9. The computer-implemented method of claim 8 , further comprising:

utilizing the 3D voxel grid to discretize the spaces and surfaces of the energy analytical model at a perimeter of the input model to represent differences in heat loss and gain.

10. The computer-implemented method of claim 1 , wherein the determining surfaces comprises:

defining a rectangular grid in a 2D coordinate plane for a representative face of one of the ABEs or one of the CMEs;

for each cell in the rectangular grid, moving to a side of the representative face, examining 3D voxels until a voxelized space is reached, while tracking the ABEs and CMEs passed through;

deciding if a current cell should be part of a surface;

if the current cell should not be part of the surface, process a next cell in the rectangular grid;

if the current cell should be part of the surface, encoding information needed to determine which surface the current cell will be part of; and

determining connected sets of cells having a same encoding, wherein connected sets of cells approximate the surfaces associated to a portion of one of the ABEs or CMEs.

11. The computer-implemented method of claim 1 , further comprising:

utilizing a building information model (BIM) representation of the energy analytical model within a building design software application;

querying the energy analytical model, within the building design software application; and

updating the BIM representation before running an energy simulation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 5, 2016
From: MITCHELL, JOHN WILLIAM; MOLLOY, IAN PATRICK
To: AUTODESK, INC.
Reel/Frame 038198/0057 →
Continuity (2)
Provisional Application 62144028 · Apr 7, 2015
Related Publication 20160299997A1 · Oct 13, 2016