水利信息化Issue(3)：1-6,30,7.DOI:10.19364/j.1674-9405.2025.03.001
数字孪生水利多维时空数据模型构建方法探讨
Discussion on construction method of multi-dimensional spatio-temporal data model for digital twin water conservancy
摘要
Abstract
To address issues such as dispersed multi-source heterogeneous data,inadequate dynamic model support,and weak virtual-real interaction capabilities during the digital transformation of the water conservancy industry,a construction framework for a multi-dimensional spatio-temporal data model oriented toward digital twin water conservancy was proposed.The aim was to achieve full-element,full-spatiotemporal dynamic mapping between physical entities and virtual twins,thereby supporting in-depth applications of functions such as prediction,early warning,rehearsal,and contingency planning.The research adopted a four-layer modeling approach comprising water conservancy objects,grids,themes,and events,which established precise associations and dynamic updates between entities such as rivers,lakes,and water conservancy projects and their digital twins.It constructed a multi-scale spatial indexing framework,integrates professional models to enable real-time simulation and intelligent decision-making in twin scenarios,and built a dynamic knowledge base to support parameter optimization and emergency rehearsals.This four-layer model formed a dynamic data foundation covering integrated perception data from"Space-Sky-Ground-Hydrology-Engineering"significantly improving the accuracy and efficiency of flood evolution simulation and engineering safety early warnings in twin scenarios.It supports the implementation of the"Four Pre"functions in virtual-real integration and provides a technical basis for cross-basin coordinated dispatching through standardized coding and multi-source integration mechanisms.关键词
数字孪生水利/多维时空数据模型/数据建模/数据底板/时空数据Key words
digital twin water conservancy/multi-dimensional spatiotemporal data model/data modeling/data platform/spatio-temporal data分类
计算机与自动化引用本文复制引用
崔培..数字孪生水利多维时空数据模型构建方法探讨[J].水利信息化,2025,(3):1-6,30,7.基金项目
国家重点研发计划项目(2022YFC3204600) （2022YFC3204600）
