3D Model Generating Device for Flat Surface Structural Members
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Solution Overview
Problem
Existing three-dimensional model generating devices fail to automatically determine structural members with flat surfaces, such as steel beams, from three-dimensional point group data, despite being able to accurately detect columnar objects.
Innovation Solution
A three-dimensional model generating device is equipped with an input unit for three-dimensional point group data, a flat surface extraction unit, a grouping unit that organizes flat surfaces by angle and distance, a connection relationship extraction unit, and a determination unit to identify structural members based on these connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a three-dimensional model generating device uses existing algorithms to detect columnar objects, then columnar object detection accuracy is improved, but the ability to automatically determine structural members with flat surfaces deteriorates
Solution Approach 1:
The patent segments the structural member determination process into distinct functional units: flat surface extraction unit that identifies planar surfaces from point cloud data, grouping unit that clusters extracted surfaces, connection relationship extraction unit that analyzes spatial relationships, and determination unit that identifies structural members. This segmentation enables the system to handle flat surface structures while maintaining columnar object detection capabilities.
Solution Approach 2:
The patent creates a universal three-dimensional model generating device that can handle multiple types of structural members (both columnar objects and flat surface structures like steel beams) through a multi-functional system. The flat surface extraction unit, grouping unit, and determination unit work together to provide adaptability across different structural member types without sacrificing existing detection accuracy.
2Measurement precision
If a three-dimensional model generating device focuses on columnar object detection, then detection accuracy for tilted and adjacent columnar objects is improved, but automatic determination of flat surface structural members deteriorates
Solution Approach 1:
The patent applies preliminary action by extracting flat surfaces from three-dimensional point group data before grouping and determination steps. The flat surface extraction unit pre-processes the point cloud data to identify planar surfaces, which then feed into the grouping unit. This preliminary extraction enables automatic determination of flat surface structural members while preserving the automated detection of columnar objects.
Solution Approach 2:
The patent introduces an intermediary flat surface extraction unit that bridges the gap between raw point cloud data and structural member determination. This extraction unit acts as a mediator that transforms unprocessed three-dimensional point group data into identified flat surfaces, which then can be grouped and analyzed to automatically determine structural members like steel beams.
3Device complexity
If a three-dimensional model generating device uses simple detection algorithms, then device complexity is reduced, but the ability to extract and analyze flat surfaces and their connections deteriorates
Solution Approach 1:
The patent segments the complex analysis task into manageable functional units: flat surface extraction, grouping by angle and distance, connection relationship extraction, and determination. Each unit performs a specific function with relatively simple algorithms, avoiding the need for a single complex algorithm while achieving high structural member identification accuracy through the coordinated workflow of multiple specialized units.
Data Source
AI summary
In order to automatically determine a structural member that is included in a structure and has flat surfaces, an input unit is configured to input three-dimensional point group data of the structure, a flat surface extraction unit is configured to extract the flat surfaces of the structure based on the three-dimensional point group data, a grouping unit is configured to group the flat surfaces into flat surface groups based on an angle of each of the flat surfaces with respect to a reference direction and a distance between the flat surfaces, a connection relationship extraction unit is configured to extract a connection relationship between the grouped flat surface groups, and a determination unit is configured to determine the structural member that the structure is constructed from based on the extracted connection relationship.