3D Obstruction Modeling for Conflict-Free MEP Routing
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Solution Overview
Problem
Existing three-dimensional routing techniques are computation intensive and storage inefficient, leading to long processing times and inefficiencies in navigating autonomous vehicles, routing robots, and designing circuit layouts.
Innovation Solution
A storage efficient data representation using triangular surface representations of obstructions in a bounded three-dimensional space, allowing for efficient routing of objects with variable cross-sectional areas while coordinating multiple MEP systems without conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional data representations are used to represent three-dimensional space, then the representation can store detailed information about the space, but it requires large amount of storage and takes long time to process
Solution Approach 1:
The patent segments the three-dimensional space into discrete volumetric elements (voxels or cells) that can be efficiently stored and processed. By dividing the continuous space into discrete units, the system achieves both accurate representation and computational efficiency, allowing detailed spatial information to be captured without requiring excessive storage or processing time.
2Measurement precision
If conventional data representations are used to represent three-dimensional space, then the representation can capture complex spatial details, but it takes large amount of storage space
Solution Approach 1:
The patent changes the fundamental parameters of data representation by using a specialized volumetric data structure that encodes spatial information more efficiently. Instead of storing traditional mesh or point cloud data, the system uses a grid-based representation with optimized storage schemes that reduce memory requirements while preserving essential spatial details needed for routing operations.
3Manufacturing precision
If detailed three-dimensional space representation is used, then routing accuracy can be improved, but computational complexity increases significantly
Solution Approach 1:
The patent replaces complex geometric calculations and continuous optimization methods with discrete algorithms operating on the volumetric data structure. By substituting traditional mechanical/computational approaches with specialized data structure operations, the system achieves high routing precision while dramatically reducing computational complexity and enabling efficient processing of three-dimensional routing problems.
Data Source
AI summary
A system uses a storage efficient data representation to route mechanical, electrical, or plumbing (MEP) objects of variable cross-sectional area through a bounded three-dimensional space containing obstructions of varying size and complexity. The system uses the triangular representations of the surfaces of the space in which the systems are to be routed. The system creates a computationally efficient 3D model that accurately represents the physical constraints of the space to be traversed and ensures that the routes are built within the constraints of the physical possibility requirements with no conflicts between different types of the MEP objects being routed.


