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全国产技术栈城市级高斯重建与智能交互应用

陈锡创 梁铭 盛兆阳

地理空间信息2026,Vol.24Issue(6):93-98,6.
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地理空间信息2026,Vol.24Issue(6):93-98,6.DOI:10.3969/j.issn.1672-4623.2026.06.017

全国产技术栈城市级高斯重建与智能交互应用

City-level Gaussian Reconstruction and Intelligent Interaction Application with Fully Domestic Technology Stack:A Case Study of Longhua District,Shenzhen City,Guangdong Province,China

陈锡创 1梁铭 1盛兆阳2

作者信息

  • 1. 深圳数生科技有限公司,广东 深圳 518000
  • 2. 武汉大学 资源与环境科学学院,湖北 武汉 430079
  • 折叠

摘要

Abstract

To address the critical challenges of industrial chain security risks,data security vulnerabilities,and high interaction barriers caused by long-term dependence on foreign technologies in urban digital twin construction,we proposed and implemented an urban intelligent twin sys-tem based on fully domestic technology stack.Taking the self-controllable SS Engine as the technical foundation and deeply integrating Huawei Ascend AI computing power with the HarmonyOS ecosystem,we establish an integrated three-in-one technical framework,achieving 100%au-tonomous code ownership.To overcome bottlenecks in 3D reconstruction efficiency,we reconstructed core operators of 3D Gaussian splatting al-gorithm,enabling distributed collaborative production across eight Ascend NPUs on a single server.For intelligent interaction,we developed a se-mantic interaction engine powered by large language models.Taking the 176 km² entirety of Longhua District,Shenzhen City as a validation case,the system completed full-process technical verification spanning data acquisition,algorithm deployment,engine adaptation,and interactive integration,demonstrating stable support for 3 000 concurrent 2D data streams and 1 000 concurrent 3D real scene data streams.The system has achieved significant results in urban refined management and intelligent emergency response scenarios.

关键词

数字孪生/全国产技术栈/高斯泼溅/昇腾算力/智能交互

Key words

digital twin/fully domestic technology stack/Gaussian splatting/Ascend computing power/intelligent interaction

分类

天文与地球科学

引用本文复制引用

陈锡创,梁铭,盛兆阳..全国产技术栈城市级高斯重建与智能交互应用[J].地理空间信息,2026,24(6):93-98,6.

地理空间信息

1672-4623

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