Methods, devices, media and equipment for 3D intelligent visualization based on multi-source data loading

By constructing an oblique photogrammetry real-world base, generating semantic 3D tiles, lightweight processing of refined models, and dynamic parsing of KML data, the problems of multi-source data compatibility and resource contention were solved, achieving high-precision integrated rendering and improving the real-time performance and stability of the 3D visualization platform.

CN121414944BActive Publication Date: 2026-05-26XIAN XINGXUN INTELLIGENT COMM TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAN XINGXUN INTELLIGENT COMM TECH CO LTD
Filing Date
2025-11-28
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing 3D visualization technologies suffer from problems such as poor compatibility of multi-source data, low accuracy of dynamic model-terrain fitting, severe competition for system resources, and limited interactive functions in the fields of smart cities, digital twins, and geological exploration, resulting in low rendering efficiency and insufficient practicality.

Method used

By constructing an oblique photogrammetry real-world base, generating semantic 3D Tiles data, performing high-precision GLB/GLTF model lightweight processing, and dynamically parsing KML data, combined with multi-resolution terrain fusion and dynamic memory partitioning scheduling, efficient integrated rendering of multi-source data is achieved.

Benefits of technology

It achieves high-precision, high-fidelity integrated rendering and seamless fusion from macro-geographical environment to micro-entity elements, improves the real-time interactive performance and scene construction efficiency of the 3D visualization platform, and solves problems of format compatibility, fitting accuracy and resource conflict.

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Abstract

This application relates to the field of computer graphics technology, specifically disclosing a method, apparatus, medium, and device for multi-source data loading in 3D intelligent visualization. The method includes: loading and dynamically adjusting an oblique photogrammetry model to construct an oblique photogrammetry real-world base; generating semantically coded 3D tiles data based on this base; identifying key entity objects, lightweighting their high-precision GLB / GLTF models, and dynamically embedding them into the scene; dynamically parsing and spatially overlaying the KML data associated with the key objects to construct a multi-level 3D scene information system from entity annotation to macroscopic annotations; dynamically coupling KML elements with terrain elevation data to form a high-precision digital elevation base supporting visualization; and optimizing resource scheduling of the base based on a dynamic memory partitioning mechanism to achieve an adaptive balance between terrain complexity and system load. This application can improve the accuracy, efficiency, and system stability of multi-source heterogeneous data fusion.
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