据介绍，数字孪生水利体系，由数字孪生流域、数字孪生水网、数字孪生水利工程组成，三者之间互不 替代、各有侧重，互联互通、信息共享。 人民网北京12月17日电(记者王仁宏)数字孪生水利体系是什么？虚实融合将带来哪些智慧启迪？在近日 水利部举行的新闻发布会上，水利部信息中心主任付静用"大白话"形象的介绍了数字孪生对水利工作的 赋能作用。 "通俗来说，数字孪生水利体系就是通过大数据、云计算、人工智能等数智技术和水利业务深度融合， 将江河湖泊、水利工程'搬进'数字世界进行智能模拟、调度预演，为水旱灾害防御、水资源管理与调配 等水利工作提供智慧'大脑'。"付静说。 数字孪生水利工程以保障水利工程安全、效益充分发挥为目标，立足水库、堤防、蓄滞洪区、水闸、调 水工程、灌区、农村供水等水利工程全生命周期，全面、实时、准确分析诊断工程和环境的安全性、稳 定性、可靠性、联动性，对风险及态势进行精准识别、预警、处置，提升工程安全高效、可持续运行水 平。比如，小浪底通过数字孪生建设及时掌握大坝坝段、闸门以及下泄水流形态、河床泥沙淤积等情 况，提前预判库水位变化、异重流运动过程等，对调水调沙全过程进行预演，显著提高了调度效率和决 策科学 ...

Core Insights - The article discusses the construction of digital twin hydraulic engineering, focusing on data foundation, monitoring perception, data integration, intelligent model development, and precise decision support, which collectively enhance flood prevention, water resource scheduling, and engineering management [1][2]. Group 1: Data Foundation - A high-precision multi-dimensional modern surveying benchmark system is established, integrating satellite positioning and computer information technologies, which resolves issues related to spatial data standardization and fusion [3]. - The construction includes L3-level high-precision data foundations and LOD3.0 BIM models for hydraulic structures, enabling real-time dynamic physical mapping of hydraulic projects [3]. Group 2: Monitoring Enhancement - The enhancement of monitoring capabilities is crucial for the efficient operation of digital twin projects, utilizing satellite remote sensing, drones, and 5G technologies to create a dynamic monitoring and intelligent perception system [4]. - New monitoring systems are established for hydraulic structures, including online flow measurement systems and non-contact intelligent real-time detection technologies [4]. Group 3: Data Governance - Data governance and resource integration are essential for maximizing data value, involving the unification of data standards and the creation of a data directory to meet business needs [5]. - A grid-based storage and integrated management model is developed, covering all elements of hydraulic engineering for efficient data support in subsequent intelligent model development [5]. Group 4: Intelligent Model Development - Diverse intelligent analysis models are developed for water resource management, including rainfall-runoff models and structural stress analysis models, which support precise operations of hydraulic structures [7]. - The models aim to enhance flood management and optimize the scheduling of hydraulic structures, contributing to the overall efficiency of water resource management [7]. Group 5: Decision Support - Business applications are optimized to support precise decision-making, utilizing hydraulic models for flood evolution analysis and water resource scheduling [8]. - A smart management platform is constructed to facilitate the application of BIM technology throughout the lifecycle of hydraulic projects, promoting intelligent and refined management practices [8]. Group 6: Conclusion - The integration of IoT, big data, and AI technologies in digital twin hydraulic engineering promotes comprehensive data sharing and infrastructure upgrades, significantly enhancing flood prevention and water resource optimization [9]. - This initiative is strategically important for modernizing the governance system and capabilities in watershed management [9].

Core Insights - The flood forecasting period for major rivers in China has been extended from 3 days to 10 days, enhancing the country's flood management capabilities [1][3] - The Ministry of Water Resources is focusing on the construction of a digital twin water conservancy system, which includes digital twin basins, water networks, and engineering projects, to improve flood prevention and water resource management [1][3] Group 1: Digital Twin Water Conservancy System - The digital twin system aims to enhance monitoring, mathematical modeling, and business applications within the water conservancy sector [3] - A comprehensive "sky-ground-water-engine" integrated monitoring system has been established to improve the perception of physical water objects, providing real-time information for risk monitoring and control [3] - The development of high-fidelity digital flow field simulation models supports decision-making for flood and drought disaster prevention and unified scheduling of water projects [3] Group 2: Practical Applications and Achievements - The digital twin platform has successfully supported the management of significant floods, including the largest flood in the Beijiang River since 1915 and the major flood in the Haihe River basin [3] - Monitoring and early warning systems have been implemented for 268 key river and lake ecological flow control sections across the country [3] - The digital twin system for the South-to-North Water Diversion Project provides real-time reflections of project conditions, optimizing scheduling and ensuring safety in water supply and quality [3]