数字孪生长江
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我国数字孪生水利体系框架基本形成
Xin Lang Cai Jing· 2025-12-20 20:03
Core Insights - The article discusses the implementation and progress of the Digital Twin Water Conservancy System in China, which integrates big data, cloud computing, and artificial intelligence to enhance water resource management and disaster prevention [1][2]. Group 1: Digital Twin Water Conservancy System Development - The framework for the Digital Twin Water Conservancy System has been largely established during the 14th Five-Year Plan period, with 94 pilot projects completed and 14 provincial digital water network areas initiated [1]. - Key projects such as the Three Gorges, South-to-North Water Diversion, and others have been put into practical application, with 49 digital twin irrigation areas and 230 rural water supply projects achieving significant results [1]. Group 2: Flood Management and Prevention - The "smart brain" has effectively supported flood management, successfully aiding in the defense against significant floods in the Haihe and Pearl River basins, with a record high water storage of 1,081 billion cubic meters in 58 reservoirs during the low water period [2]. - The Ministry of Water Resources has enhanced flood forecasting capabilities, extending the forecast period from 3 days to 10 days, achieving a 90% accuracy rate for key river flood forecasts [2]. Group 3: Water Resource Management - The Digital Twin Water Conservancy System has improved water resource management, achieving full coverage of water measurement in major irrigation areas and a 93% monitoring coverage for ecological flow in key rivers and lakes [3]. - The system has facilitated the identification of 185,000 issues related to water usage, significantly enhancing regulatory efficiency, with a 98.6% compliance rate for ecological flow standards in 2024 [3]. Group 4: Future Directions - The Ministry of Water Resources aims to continue enhancing the Digital Twin Water Conservancy System during the 15th Five-Year Plan, focusing on demand-driven applications and improving intelligent governance capabilities [4].
长江水利委员会部署加快推进数字孪生长江建设工作
Shui Li Bu Wang Zhan· 2025-04-14 07:00
Core Insights - The Yangtze River Water Resources Commission held a special meeting to review and approve the top-level design for the Digital Twin Yangtze project, along with related guidelines and plans for future construction [1] Group 1: Project Overview - Since July 2024, the Yangtze River Water Resources Commission has been advancing the Digital Twin Yangtze construction with a "1+2+N" approach, completing a blueprint and establishing a technical system for the project [1] - The meeting highlighted the importance of accelerating the Digital Twin Yangtze construction according to the principles of demand-driven, application-focused, digital empowerment, and capability enhancement [2] Group 2: Implementation Strategies - The commission aims to enhance and integrate pilot results, focusing on flood prevention capabilities in the Han River and Li River before the flood season [2] - Ongoing projects, such as the comprehensive water monitoring system and the Digital Twin Three Gorges enhancement project, will be prioritized for technical coordination and result integration [2] - The construction of standardized data platforms for flood retention areas and levees will be organized to provide models for provincial water management [2] - There is a focus on planning new projects and developing an integrated monitoring system, ensuring high-quality computational infrastructure and data platforms [2] - The commission will strengthen the Digital Twin Yangtze smart flood prevention system and explore a continuous development path in disaster prevention [2] - Departments are required to follow the commission's work plan to ensure the completion of key tasks for the Digital Twin water resources by 2025 [2] Group 3: Organizational Support - The meeting emphasized the need for enhanced organizational support for the Digital Twin Yangtze project, including clear responsibility assignments and external communication mechanisms [3]