Abstract: Various examples are provided related to virtual performance compatibility checking and management for modular construction. In one example, a method includes segmenting boundaries of as-built and as-planned models of a construction element; determining features of each boundary segment of the as-built and as-planned models; determining similarity ratios for matching pairs of boundary segments of the as-built and as-planned models; comparing a total similarity ratio based upon the similarity ratios for matching pairs of boundary segments with a specified threshold; and snapping the as-built model in position in a point cloud in response to the comparison. A system comprising computing or processing circuitry can execute a program or application to implement the similarity/compatibility checking methodology. The similarity/compatibility checking methodology can be implemented within a construction performance modeling and simulation (CPMS) framework.

Abstract: A system initializes a set of calibrated images with known 3D pose relative to a 3D building information model (BIM) to be anchor images, detects features within images of unknown position and orientation, and determines matches with features of the calibrated images. The system determines a subset of the images that have at least a threshold number of matching features, selects an image from the subset of the images having the largest number of matching features, and executes a reconstruction algorithm using the image and the anchor images to calibrate the image to the BIM and generate an initial 3D point cloud model. The system repeats the last steps to identify a second image from the subset and perform, starting with the initial 3D point cloud model and using the second image, 3D reconstruction to generate an updated 3D point cloud model that is displayable in a graphical user interface.

Abstract: A system initializes a set of calibrated images with known 3D pose relative to a 3D building information model (BIM) to be anchor images, detects features within images of unknown position and orientation, and determines matches with features of the calibrated images. The system determines a subset of the images that have at least a threshold number of matching features, selects an image from the subset of the images having the largest number of matching features, and executes a reconstruction algorithm using the image and the anchor images to calibrate the image to the BIM and generate an initial 3D point cloud model. The system repeats the last steps to identify a second image from the subset and perform, starting with the initial 3D point cloud model and using the second image, 3D reconstruction to generate an updated 3D point cloud model that is displayable in a graphical user interface.

Abstract: A wear measurement system for a component is disclosed. The wear measurement system may include an imaging device configured to obtain a plurality of two-dimensional images of the component. The wear measurement system may also include a controller. The controller may be configured to generate a three-dimensional point cloud representing the component based on the two-dimensional images. The controller may also be configured to overlay a computer model of the component on the three-dimensional point cloud. Further, the controller may be configured to project the computer model on the two-dimensional images. The controller may also be configured to select at least two reference points appearing in each of a subset of images selected from the two-dimensional images. The controller may be configured to determine locations of the two reference points in the three-dimensional point cloud, determine an image distance between the locations, and determine an amount of wear based on the image distance.

Abstract: A wear measurement system for a component is disclosed. The wear measurement system may have an imaging device configured to obtain a plurality of two-dimensional images of the component. The wear measurement system may also have a controller. The controller may be configured to generate a three-dimensional point cloud representing the component based on the two-dimensional images. The controller may also be configured to select at least two reference points appearing in each of a subset of images selected from the two-dimensional images. Further, the controller may be configured to determine locations of the two reference points in the three-dimensional point cloud. The controller may also be configured to determine an image distance between the locations. In addition, the controller may be configured to determine an amount of wear based on the image distance.

Abstract: A wear measurement system for a component is disclosed. The wear measurement system may have an imaging device configured to obtain a plurality of two-dimensional images of the component. The wear measurement system may also have a controller. The controller may be configured to generate a three-dimensional point cloud representing the component based on the two-dimensional images. The controller may also be configured to select at least two reference points appearing in each of a subset of images selected from the two-dimensional images. Further, the controller may be configured to determine locations of the two reference points in the three-dimensional point cloud. The controller may also be configured to determine an image distance between the locations. In addition, the controller may be configured to determine an amount of wear based on the image distance.

Abstract: A wear measurement system for a component is disclosed. The wear measurement system may include an imaging device configured to obtain a plurality of two-dimensional images of the component. The wear measurement system may also include a controller. The controller may be configured to generate a three-dimensional point cloud representing the component based on the two-dimensional images. The controller may also be configured to overlay a computer model of the component on the three-dimensional point cloud. Further, the controller may be configured to project the computer model on the two-dimensional images. The controller may also be configured to select at least two reference points appearing in each of a subset of images selected from the two-dimensional images. The controller may be configured to determine locations of the two reference points in the three-dimensional point cloud, determine an image distance between the locations, and determine an amount of wear based on the image distance.