Automated 3D Separation Rule Compliance Analysis
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Solution Overview
Problem
Manually analyzing object-to-object distances for separation rule compliance in 3D virtual environments is error-prone, inconsistent, and time-consuming, especially when dealing with numerous objects, making it unfeasible.
Innovation Solution
A computer-automated method that defines separation rules, intelligently samples locations for proximity and collision analysis, and compares determined separation distances to requirements to identify violating objects, reducing computation while maintaining detail.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of object-to-object distances is performed, then separation rule compliance can be checked, but the process becomes error-prone, inconsistent, and time-consuming
Solution Approach 1:
The patent replaces manual mechanical measurement methods with automated computer-based algorithms. The system uses computational geometry to calculate separation distances between objects in a 3D virtual environment, eliminating human error and inconsistency while dramatically reducing analysis time. The automated system performs proximity and collision analysis through software rather than manual inspection.
Solution Approach 2:
The system enables self-service by allowing the computer to automatically perform separation distance analysis without human intervention. The automated algorithms independently identify objects, calculate distances, compare them against separation rules, and generate compliance reports, making the process efficient and scalable for complex designs with numerous objects.
2Measurement precision
If comprehensive proximity and collision analysis is performed on all objects, then accurate separation distances are determined, but computation time increases significantly
Solution Approach 1:
The patent segments the analysis process into distinct phases: object identification, sample location specification, proximity analysis, collision analysis, and compliance evaluation. This segmentation allows the system to process complex scenes systematically, breaking down the computational task into manageable steps that can be optimized and parallelized for improved efficiency.
Solution Approach 2:
The system performs partial analysis by focusing on critical sample locations and key object interactions rather than analyzing every possible object pair. By strategically selecting sample locations and applying proximity/collision analysis only where necessary, the system maintains measurement precision while significantly reducing computation time compared to exhaustive analysis of all objects.
Data Source
AI summary
A computer-automated separation rules compliance method is disclosed. Separation rules that establish separation distance requirements between objects in a three-dimensional (3D) virtual environment are defined. Sample locations associated with at least some of the objects in the 3D virtual environment are specified. One or more of proximity and/or collision analysis is performed on the sample locations to determine separation distances between the objects. The determined separation distances are compared to the separation distance requirements. Objects in the 3D virtual environment that violate the separation rules based on said comparing are identified.