中国水利

针对灌区数据种类多、格式不统一、监测频次不同、地理空间尺度不一致、业务交叉多、数据融合难等问题，提出解决灌区数字孪生底板多源数据融合问题的框架和方法。从灌区统一水利对象模型、对象融合（实体对象关系融合、倾斜摄影模型和BIM模型的融合、矢量对象与倾斜摄影模型的融合）、特征融合（多源遥感数据的特征融合、不同分辨率地形特征的融合）、数值融合（测站监测数据的融合、点数据和网格数据的空间尺度融合、降雨网格长中短期预报数据时空插值融合）等方面阐述多源数据融合路径。在欧阳海灌区项目实践中，提出灌区作物种植面积估算、基于多源数据融合的旱情监测、基于多源数据融合的淹没分析等应用场景，实现数字孪生灌区由整体到局部、由抽象到细节、由二维到三维等多层次可看、可用、可查的业务目标。

To address issues like varied data types, inconsistent formats, differing monitoring frequencies,mismatched geographic spatial scales, overlapping business domains, and difficulties in data fusion, this study proposes a framework and methodology for multi-source data fusion in the digital twin base of irrigation districts. The multi-source data fusion paths are elaborated from several perspectives, including integrating unified water resource object models, object fusion(fusion of entity object relationships, oblique photography models and BIM models, vector objects and oblique photography models), feature fusion(integration of features from multi-source remote sensing data, fusion of terrain features at different resolutions), and numerical fusion(merging station monitoring data, spatial scale fusion of point and grid data, and spatiotemporal interpolation fusion of long-, medium-, and short-term rainfall grid forecast data). In the application of the Ouyanghai Irrigation District project, scenarios such as crop planting area estimation, drought monitoring using multi-source data fusion, and inundation analysis based on multi-source data fusion were implemented. These applications enable the digital twin irrigation district to achieve multi-level visibility, usability, and traceability,transitioning from overall to local perspectives, from abstraction to detail, and from two-dimensional to threedimensional representations.