Hybrid 2D/3D Visualization for Technical Documentation
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Solution Overview
Problem
Comparing 3D point clouds or meshes to 2D documentation is challenging due to their inherent incompatibility, and existing methods require significant skill and are prone to ambiguity and inconsistency.
Innovation Solution
A method using a VR headset to overlay scaled and aligned 2D technical drawings onto 3D point clouds produced by LiDAR, allowing simultaneous visualization of both representations to facilitate comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If 2D technical drawings are used to document space layout, then documentation can be created with simple measuring equipment, but the drawings are ambiguous, inconsistent, and require significant skill to create and interpret
Solution Approach 1:
The patent uses photogrammetry to create accurate 3D models by capturing multiple photographs of the space and processing them into a digital representation. This copying approach preserves the exact geometric relationships and dimensions of the real space without requiring manual measurement and drawing, thereby improving accuracy while maintaining ease of creation
Solution Approach 2:
The patent transitions from 2D technical drawings to 3D visual representations by processing photographs into three-dimensional models. This dimensional enhancement allows for more intuitive interpretation and eliminates the ambiguity inherent in 2D drawings, while the automated photogrammetry process keeps creation simple
2Reliability
If 3D scanning technologies are used to create documentation directly from the environment, then the documentation more naturally represents the 3D world, but the resulting point cloud or mesh data requires additional processing to convert into usable documentation
Solution Approach 1:
The patent introduces photogrammetry software as an intermediary that automatically processes raw photograph data into structured 3D models with embedded measurement information. This intermediary handles the complex data processing tasks, transforming unstructured point cloud data into usable 3D documentation without requiring manual intervention
Solution Approach 2:
The photogrammetry system performs self-service by automatically extracting geometric information, dimensions, and spatial relationships from the captured photographs. The system autonomously processes the images, generates 3D models, and produces measurement data without requiring external manual measurement or complex post-processing interventions
3Productivity
If point cloud data or mesh data is used for 3D documentation, then the documentation can be created directly from the environment, but comparing these 3D data to 2D documentation becomes particularly challenging
Solution Approach 1:
The patent maintains 3D point cloud or mesh data as the underlying structure while overlaying 2D technical drawing representations onto it. This allows the system to leverage the speed of 3D scanning for creation while providing 2D visualizations that are directly comparable to existing 2D documentation, solving the comparison difficulty
Solution Approach 2:
The patent merges 3D point cloud data with 2D technical drawing visualizations by projecting and overlaying 2D representations onto the 3D point cloud. This combination allows simultaneous display of both 3D spatial accuracy and 2D documentation formats, enabling easy comparison while maintaining productivity benefits of 3D scanning
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables quick and intuitive comparison of 2D and 3D documentation without requiring special skills, enhancing the ability to verify the accuracy of 2D drawings against real-world environments and identifying discrepancies, thus aiding in the transition from 2D to 3D documentation.
Implementation Method 1
using LiDAR to produce a 3D point cloud of the real-world environment
Data Source
AI summary
A method for using a virtual reality (VR) headset to view a two-dimensional (2D) technical drawing of a physical object of a real-world, real-world environment in three dimensions (3D), the method comprising: using LiDAR to produce a 3D point cloud of the real-world environment; scaling and aligning the 2D technical drawing to match the size and orientation of the physical object as depicted in the 3D point cloud; overlaying the 2D technical drawing (including all labels and dimensions) over the physical object as depicted in the 3D point cloud; and visually comparing the 3D point cloud representation of the physical object to the 2D technical drawing by simultaneously displaying the 3D point cloud of the real-world environment and the overlaid 2D technical drawing to a user with the VR headset.