3D Map Generation from 2D Floor Plans for Factory Simulation
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Solution Overview
Problem
Current methods for generating 3D maps in large environments with moving objects, such as factories, require significant time, labor, and costly high-performance devices, and do not effectively simulate interference/collision in virtual environments.
Innovation Solution
A system and method that generates a 3D map from a 2D map using a design drawing or robot data, involving post-processing modifications, mesh-based data generation, optimization, and simulation of moving objects to reflect actual environment data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-performance devices or expensive sensors are used for 3D restoration of actual space, then manufacturing precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent uses 2D maps (floor plans or robot-collected maps) as copies of the actual space to generate 3D maps, avoiding the need for expensive 3D scanning devices. The 2D map serves as a simplified representation that can be processed computationally to create the 3D environment, significantly reducing hardware requirements while maintaining acceptable accuracy for simulation purposes.
Solution Approach 2:
The patent replaces mechanical 3D scanning systems with a computational approach that processes 2D map data through algorithms (including filter-based post-processing and mesh generation) to create 3D representations. This substitution of mechanical measurement systems with information processing methods reduces device complexity and cost.
2Reliability
If an engineer remains on-site for a long time to perform factory simulation and stabilization adjustments, then reliability is improved, but loss of time increases
Solution Approach 1:
The patent performs preliminary actions by automatically generating 3D maps from existing 2D maps before simulation begins. The post-processing modification processes (filter application, mesh generation, optimization) are executed in advance to prepare the 3D environment, eliminating the need for time-consuming on-site adjustments during actual simulation setup.
Solution Approach 2:
The system performs self-service by automatically processing 2D map data through multiple stages (filter-based post-processing, mesh generation, optimization) without requiring continuous engineer intervention. The algorithmic processes autonomously generate and refine the 3D map, reducing dependency on manual on-site work.
3Reliability
If multiple adjustment processes are performed for factory simulation stabilization, then reliability is improved, but productivity decreases
Solution Approach 1:
The patent merges multiple adjustment processes into an integrated automated workflow. The post-processing modification steps (filter application, mesh generation, optimization) are combined into a single automated pipeline that processes the 2D map through all necessary transformations without requiring separate manual intervention for each step, thereby maintaining reliability while improving productivity.
4Manufacturing precision
If 3D map generation uses detailed post-processing modification processes, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The patent applies partial post-processing modifications selectively based on the quality of the input 2D map. The filter-based post-processing and mesh generation processes are applied to the extent necessary to achieve sufficient accuracy for simulation, rather than applying all possible refinement steps uniformly. This allows balancing precision requirements with time constraints.
Data Source
AI summary
The present disclosure relates to a system and a method for generating a three-dimensional (3D) map. The method for generating the (3D) map includes obtaining a two-dimensional (2D) map of a space by utilizing one of a floor plan and robot data based on a user's input, generating a robust 2D map from the 2D map via a post-processing modification process, and generating the 3D map from the robust 2D map.