数字孪生黄河数据治理体系构建与实践OA
Construction and practice of the data governance system for Digital Twin Yellow River
为满足数字孪生黄河建设对全流域数据资源高效治理与服务的迫切需求,针对黄河流域在多源异构数据汇聚、治理效率及融合共享方面存在的核心挑战,构建了一套覆盖"汇数、治数、建仓、用数、管数、智数"六大环节的数据治理技术体系,分为数据汇聚与治理、数据构建与赋能、数据运营与升华三个阶段开展建设.该体系设计了汇聚层、存算层、治理层、服务层与应用层五层功能架构,融合自适应汇聚、智能清洗、知识图谱关联等关键技术,实现数据从采集到应用的全流程管理.基于微服务架构与国产化技术栈,以黄河数据服务门户和水利对象主题数据仓库为例,成功整合多类数据资源,形成规模化、标准化数据资产,黄河数据服务门户汇聚31大类水利对象4.29亿条业务数据,水利对象主题数据仓库形成1561万条高质量成果数据,有效支撑多项核心业务系统运行,显著提升数据共享效率与服务能力.从顶层设计、机制健全、设施夯实、智能融合及人才与资金保障五个方面提出发展建议,为数字孪生流域数据治理体系建设提供可借鉴的实践路径与示范案例.
To address the urgent need for efficient governance and services for data resources across the entire basin in the construction of the Digital Twin Yellow River,this paper established a comprehensive data governance technology system covering six key stages:"data aggregation,data governance,data warehousing,data utilization,data management,and intelligent data".This system was designed to tackle the core challenges faced by the Yellow River Basin in aggregating multi-source heterogeneous data,improving governance efficiency,and promoting data integration and sharing.The system was developed in three stages:data aggregation and governance,data construction and empowerment,and data operation and enhancement.The system was designed with a five-layer functional architecture comprising a convergence layer,a storage and computing layer,a governance layer,a service layer,and an application layer.By integrating key technologies such as adaptive convergence,intelligent cleaning,and knowledge graph association,the system achieved full-process data management from acquisition to application.Using a microservice architecture and a domestic technology stack,this paper took the Yellow River Data Service Portal and the Water Conservancy Object Thematic Data Warehouse as examples.These platforms successfully integrated various types of data resources and created large-scale,standardized data assets.The Yellow River Data Service Portal has aggregated 429 million business data entries of 31 major categories of water conservancy objects,and the Water Conservancy Object Thematic Data Warehouse has formed 15.61 million pieces of high-quality result data,effectively supporting the operation of multiple core business systems and significantly improving data sharing efficiency and service capabilities.Finally,development suggestions were proposed from five aspects:top-level design,mechanism improvement,facility consolidation,intelligent integration,and talent and financial support,providing a practical path and demonstration case for the construction of data governance systems in digital twin river basins.
李自尊;李欢;崔晨晨
水利部黄河水利委员会信息中心,450004,郑州水利部黄河水利委员会信息中心,450004,郑州水利部黄河水利委员会信息中心,450004,郑州
建筑与水利
数字孪生黄河数据治理体系数据服务门户主题数据仓库数据资产智慧水利
Digital Twin Yellow Riverdata governance systemdata service portalthematic data warehousedata assetsmart water conservancy
《中国水利》 2026 (9)
47-54,8
河南省重点研发与推广专项(262102210139).
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