灌区工程数智化升级的实践分析与发展路径思考OA
Digital and intelligent upgrading of irrigation district engineering:practice analysis and development pathway reflections
数字孪生灌区是数字孪生水利工程的重要组成,也是灌区工程数智化升级的核心实践形态,对推动新阶段灌区高质量发展具有重要意义.本文基于49处数字孪生灌区先行先试建设成效跟踪评估结果,围绕数据底板、模型库和业务应用,系统梳理灌区数智化建设的主要做法与实际成效,凝练了"天空地水工"一体化监测感知系统构建、专题模型研发和信息化平台建设三个方面的典型经验.研究表明,先行先试灌区通过整合既有设施、推进数据共享和补充建设监测站点,持续完善多要素感知网络;围绕供水保障、农业节水增效和工程安全运行等核心需求研发应用专业模型,推动模型计算、业务流程与管理决策深度融合.在此基础上,依据灌溉方式、水源类型、地理区位和业务需求,提出自流灌溉、提水灌溉、混合式灌溉、圩垸和管道灌溉五类灌区数字孪生建设技术模式,明确不同类型灌区在业务平台、感知体系和专题模型方面的建设重点.结合当前灌区现代化建设需求,提出坚持需求牵引、夯实数据底板、强化模型适配、融合节水增效、强化AI融合等发展路径建议,以期为"十五五"时期全国灌区工程数智化升级提供参考.
Digital twin irrigation districts are an important component of digital twin water conservancy projects and a core practical form of the digital and intelligent upgrading of irrigation district engineering,playing an important role in promoting the high-quality development of irrigation districts in the new stage.Based on the tracking and evaluation results of 49 pilot digital twin irrigation districts,this paper systematically reviews their major practices and practical achievements in terms of data foundations,model libraries,and business applications,and summarizes typical experience in three aspects:constructing a sky-space-land-water-project integrated monitoring and perception system,developing specialized models,and establishing information platforms.The results show that the pilot irrigation districts have continuously improved their multi-element sensing networks by integrating existing facilities,promoting data sharing,and adding monitoring stations.Specialized models have been developed and applied to meet the core needs of water-supply security,agricultural water conservation and efficiency improvement,and safe engineering operation,facilitating the deep integration of model computation,business processes,and management decision-making.Based on irrigation methods,water source types,geographical locations,and business needs,technical modes for digital twin construction are proposed for five types of irrigation districts:gravity-fed irrigation,pumping irrigation,mixed irrigation,polder irrigation,and pipeline irrigation.The construction priorities for business platforms,sensing systems,and specialized models are identified for each type of irrigation district.Furthermore,in light of the current needs for modernizing irrigation districts,development pathways are proposed,including adhering to demand-driven development,consolidating data foundations,enhancing model adaptability,integrating water conservation and efficiency improvement,and strengthening AI integration,to provide a reference for the digital and intelligent upgrading of irrigation district projects nationwide during the 15th Five-Year Plan period.
和玉璞;张伟;黄国情;麦紫君;黄日超;顾南;齐伟
水利部 交通运输部 国家能源局南京水利科学研究院,210029,南京水利部 交通运输部 国家能源局南京水利科学研究院,210029,南京水利部 交通运输部 国家能源局南京水利科学研究院,210029,南京水利部 交通运输部 国家能源局南京水利科学研究院,210029,南京水利部 交通运输部 国家能源局南京水利科学研究院,210029,南京水利部 交通运输部 国家能源局南京水利科学研究院,210029,南京水利部 交通运输部 国家能源局南京水利科学研究院,210029,南京
建筑与水利
灌区数字孪生数智化升级建设技术模式人工智能
irrigation districtdigital twindigital and intelligent upgradingconstruction technical modeartificial intelligence
《中国水利》 2026 (17)
60-65,6
国家自然科学基金项目(42501504)中央级公益性科研院所基本科研业务费专项资金项目(Y925015、Y925014)江苏省自然科学基金资助项目(BK20240282).
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