A multi-dimensional dynamic size marking system for wood components

By combining information storage, interface display, dimension annotation, logic calculation, and output modules with a deep learning model, the problem of computer performance burden in complex modeling objects is solved, and a smooth transition between real-time coarse and precise display is achieved, improving the real-time performance and accuracy of dynamic annotation.

CN119902678BActive Publication Date: 2026-05-01SHANXI FIRST CONSTR GROUP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANXI FIRST CONSTR GROUP
Filing Date
2024-12-25
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing dynamic dimensioning systems cannot display dimensions in real time when modeling objects with complex structures, resulting in excessive computer performance burden and insufficient accuracy.

Method used

It employs a combination of information storage, interface display, dimension annotation, logic calculation, and output modules, and uses a deep learning model to estimate the size changes of the modeled object in real time. After the operation is completed, it performs accurate calculations, simplifying the amount of computation to improve real-time performance and accuracy.

Benefits of technology

It enables real-time rough display of dimensions during object modeling operations and precise display after operation is completed, reducing the computer load and adapting to modeling objects with complex structures.

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Abstract

The present application relates to the field of dimension marking, especially to a multi-dimensional dynamic dimension marking system for wood components. Dynamic dimension marking is a tool that can dynamically display the dimensions of a modeling object according to user operations. However, the mainstream dynamic dimension marking system can only actually realize the dynamic display of the dimensions of the modeling object when the structure of the modeling object is relatively simple. The present application comprises an information storage module for storing the parameters of the wood component and updating the parameters of the wood component when the parameters of the wood component change. The three-dimensional wood component formed by modeling is simplified into a series of point positions and functional relationships between the point positions. Through deep learning, the change of the functional relationship between the point positions is estimated according to the change of the point positions, and then the change of the shape and size of the wood component is quickly estimated, which greatly reduces the computational load and improves the generation speed of the dynamic dimension marking.
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Citation Information

Patent Citations

  • System and method of dynamically customizing size of 3D model

    CN107154076A

  • Size marking method for complex node model

    CN113744417A