3D Mesh Data Generation for Structurally Evaluated Robotic Fabrication
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Solution Overview
Problem
Conventional methods for constructing building structures face challenges in seamlessly integrating geometrical design information, structural evaluation, and robotic fabrication information, leading to inefficiencies, material wastage, and safety issues in generating mesh data for three-dimensional mesh structures.
Innovation Solution
A method that processes input geometry objects to create digital representations, structurally evaluates them, determines structural requirements, and generates mesh data for robotic fabrication, ensuring optimized integration of design and fabrication information, thereby minimizing errors and material usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional techniques are used for generating mesh data, then the process is simple, but it is difficult to integrate geometrical design information, structural evaluation, and robotic fabrication information seamlessly
Solution Approach 1:
The patent merges geometrical design information, structural evaluation, and robotic fabrication information into a unified mesh data generation process. The system integrates multiple data sources and analysis results to produce comprehensive mesh data that incorporates all requirements simultaneously, eliminating the need for separate processing steps and ensuring seamless integration of all information types.
Solution Approach 2:
The mesh data generation system is designed to perform multiple functions: it processes geometrical design data, conducts structural evaluation, analyzes fabrication requirements, and generates optimized mesh data all within a single integrated platform. This multi-functional approach allows the system to handle diverse input types and produce comprehensive output that satisfies multiple requirements simultaneously.
2Reliability
If three-dimensional design is not optimized before generating fabrication data, then the design process is faster, but safety issues occur due to mistakes in generated fabrication data
Solution Approach 1:
The system performs preliminary structural evaluation and optimization of the three-dimensional design before generating the final fabrication data. By conducting structural analysis and optimizing the design in advance, the system identifies and corrects potential safety issues before they manifest in the fabricated structure, ensuring reliability while maintaining efficiency through automated preprocessing steps.
Solution Approach 2:
The system implements feedback mechanisms where structural evaluation results are fed back into the design optimization process. The structural analysis outcomes inform adjustments to the three-dimensional design, and this iterative feedback loop continues until the design meets all safety and structural requirements, ensuring that the final fabrication data is both safe and optimized.
3Loss of substance
If three-dimensional design is not optimized before generating fabrication data, then the process is simpler, but too much material is used leading to high material consumption
Solution Approach 1:
The system optimizes the three-dimensional design by adjusting various parameters such as mesh density, element distribution, and structural configuration based on structural evaluation results. By changing these parameters intelligently, the system reduces material consumption while maintaining structural integrity, generating optimized mesh data that uses only the necessary amount of material for the intended application.
4Productivity
If manual processing of mesh data is used, then flexibility is maintained, but workload for construction engineers increases and errors occur
Solution Approach 1:
The system enables self-service automation where the mesh data generation process automatically performs structural evaluation, optimization, and fabrication data generation without requiring manual intervention from construction engineers. The automated system serves itself by integrating all necessary functions and producing ready-to-use mesh data, significantly reducing workload while maintaining high accuracy and eliminating manual errors.
Data Source
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AI summary
The present invention relates to a method for generating mesh data to construct a mesh structure to be used in a constructional building process, a processing unit (710) for generating the mesh data, an apparatus (700) for generating the mesh data, and a computer program. The method for generating the mesh data comprises processing (S310) an input geometry object and creating a digital representation of the input geometry object; structurally evaluating (S320) the digital representation of the input geometry object; determining (S330) a structural requirement set; and generating (S340) mesh data based on the digital representation of the input geometry object and the structural requirement set, the mesh data defining a characteristic of a mesh structure to be constructed by a robotic fabrication process.