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针对大型水库在建设期防洪度汛预报预警不及时、应急处置效率低等问题，本文以数字孪生理念为核心，探讨了面向大型水库建设期防洪度汛数字孪生平台的建设思路，创新性地构建了融合人工智能的大型水库建设期防洪度汛“预报、预警、预演、预案”数字孪生平台技术架构。以某大型水库为研究对象，以监测感知体系为基础，构建数据底板，以机理模型与人工智能技术为双重支撑，搭建了建设期防洪度汛“四预”业务应用平台。研究成果为破解大型水库建设期防洪度汛“预判精度不足”与“决策迟滞”等问题提供了新思路，对提升大型水库建设期防洪度汛管理水平具有重要实践价值。
Abstract：To addrcss the issues such as untimely flood forecast warnings and low cmcrgcncy rcsponsc cfficicncy during the construction period of large reservoirs, this study, based on the digital twin concept, explores the construction ideas of a digital twin platform for flood prevention and emergency response during the construction period of large reservoirs. This study proposes a technical architecture for a “forecasting, warning, simulation preview, and pre-planning” digital twin platform for flood control and flood management during the construstion of large reservoirs, integrated wity artificial intelligence. Taking a large reservoir as the research object, based on the monitoring and sensing system, a data foundation is established, and with the support of mechanism models and artificial intelligence technologies, a business operational platform with functions of “Four Pre's” during the construction period of flood prevention and emergency response is built. The research results provide new ideas for solving the problems of“insufficient prediction accuracy” and “delayed decision-making” during flood prevention and emergency response in the construction period of large reservoirs, and have significant practical value for improving the management level of flood prevention and emergency response during the construction period of large reservoirs.
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基本信息:
DOI：10.19478/j.cnki.2096-2347.2026.01.03
中图分类号:TV697.13
引用信息:
[1]阎宇,孙亮,曹羽隆,等.数字孪生技术在水库建设期防洪度汛的应用[J].三峡生态环境监测,2026,11(01):23-32.DOI:10.19478/j.cnki.2096-2347.2026.01.03.
2025-06-11
2025-06-11
2025-06-11