一种基于三维模型的地铁站防汛仿真模拟方法及系统

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By performing local importance assessment and clustering on point cloud data, and constructing a semantic 3D model combined with a hydrodynamic model, the problem of key areas being obscured in existing technologies is solved, achieving more accurate flood control simulation and more efficient flood control analysis.

CN121706653BActive Publication Date: 2026-07-17NANTONG RAIL CITY SERVICE CO LTD

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Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: NANTONG RAIL CITY SERVICE CO LTD
Filing Date: 2025-12-17
Publication Date: 2026-07-17

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Abstract

本发明涉及孪生模型技术领域，具体涉及一种基于三维模型的地铁站防汛仿真模拟方法及系统。该方法通过点云数据在邻域空间上结构的地名近似分析以及凹凸性分析，获得局部重要评估指标，结合分析邻域空间中的密度分布复杂度，确定单个点云数据的结构重要评估指标；对点云数据进行聚类划分为不同区域，分析区域内所有点云数据的深度分布，结合结构重要评估，确定每个区域的关注率，进行差异化建模并语义化处理得到语义化三维模型，结合水动力模型得到数字孪生模型。本发明通过评估每个点云数据在地铁站防汛仿真中的重要性进行差异化三维建模，与水动力模型结合数字孪生模型，更全面准确的进行防汛分析，提高地铁防汛的防护能力。

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