A selection interaction method, device, equipment, medium and product applicable to a three-dimensional CAD system

By initializing the spatial index structure and hash table in the 3D CAD system and combining it with hardware rendering sampling and filtering technology, the selection delay and lag issues in large-scale, high-density 3D model scenes were resolved, achieving efficient and accurate object selection and improving the user experience of 3D CAD software.

CN122391515APending Publication Date: 2026-07-14POWERCHINA ZHONGNAN ENG
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
POWERCHINA ZHONGNAN ENG
Filing Date
2026-06-15
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing 3D CAD software suffers from response delays, interface lag, and inaccurate selection when selecting objects in large-scale, high-density 3D model scenes, making it difficult to meet the high precision and smoothness requirements of engineering BIM design.

Method used

When the 3D CAD system starts, it initializes the spatial index structure and creates a hash table, loads the 3D model and assigns it a unique ID, quickly queries the target subspace node through the hash relationship mapping table, combines hardware rendering sampling to filter candidate geometric objects, and generates a set of target geometric objects.

Benefits of technology

It significantly improves the interactive efficiency and smoothness of object selection, solves the problems of response delay and interface lag, ensures the accuracy and efficiency of selection results, and meets the operational experience requirements of 3D CAD software.

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Abstract

The application discloses a selection interaction method and device suitable for a three-dimensional CAD system, equipment, a medium and a product, relates to the three-dimensional CAD modeling technical field, and the method comprises the following steps: loading all 3D models to be processed and coding, and generating a plurality of geometric objects to be processed; inserting all the geometric objects to be processed into a space index structure, and generating an adaptive space index structure; adding the ID and storage position of all the geometric objects to be processed to an empty hash table, and generating a hash relationship mapping table; querying all the subspace nodes associated with a two-dimensional frame selection region in the hash relationship mapping table, and obtaining target subspace nodes; obtaining all the geometric objects corresponding to the target subspace nodes in the adaptive space index structure, and obtaining a candidate geometric object set; and screening the candidate geometric object set to obtain a target geometric object set. The application can effectively improve the object selection accuracy and selection fluency of the three-dimensional CAD system.
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