Application-driven three-dimensional spatial data transmission method and system

By building an application-oriented three-dimensional data transmission system, the problem that existing technologies cannot meet the needs of different scenarios is solved, and efficient adaptive transmission and continuous optimization of three-dimensional data are achieved.

WO2025189797A1 Publication Date: 2025-09-18GUIZHOU POWER GRID CO LTD
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Patent Information

Application Number
PCT/CN2024/131156
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-03-11
Filing Date
2024-11-09
Publication Date
2025-09-18

AI Technical Summary

Technical Problem

Existing 3D data transmission technology cannot meet the differentiated needs of different application scenarios, lacks adaptability and continuous optimization capabilities, is unable to efficiently transmit large and diverse 3D data sets, and lacks a scenario-oriented KPI analysis and modeling framework.

Method used

Build an application-oriented three-dimensional data transmission demand analysis system, determine key performance indicators (KPIs) through qualitative and quantitative analysis, design AI-driven adaptive transmission mechanisms, dynamically adjust transmission strategies, develop adaptive compression algorithm sets, and continuously improve through cyclic testing and optimization mechanisms.

Benefits of technology

It realizes dynamic adjustment of transmission strategies according to the differentiated needs of different application scenarios, improves transmission efficiency and quality, meets the adaptive compression requirements of three-dimensional data, and enhances the flexibility and optimization capabilities of the system.

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Abstract

The present invention relates to the technical field of data transmission. Disclosed is an application-driven three-dimensional spatial data transmission method. The method comprises: determining system key performance indicators (KPIs) by means of qualitative and quantitative analysis; constructing an AI-driven adaptive three-dimensional data transmission mechanism, and dynamically adjusting a transmission strategy on the basis of a real-time network state, a device capability, an application scenario and the KPIs; developing an adaptive compression algorithm set oriented to three-dimensional data, so as to meet differentiated compression requirements of different application scenarios; performing loop execution of a test, and adjusting and optimizing the data transmission mechanism and the compression algorithm set on the basis of a test feedback result and the real-time network state; and deploying an optimized transmission method to a production environment, and collecting field data to optimize the system performance and verify the achievement of the KPIs. By constructing a qualitative and quantitative analysis framework based on machine learning, the present invention quantifies differentiated transmission requirements of different application scenarios and formulates transmission strategies meeting the scenario requirements.
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