武大AiFlow视觉测流技术在跨境河流水文监测中的应用研究——以平而水文站为例

Application Research of Wuhan University AiFlow Visual Flowmeter Technology in Hydrological Monitoring of Transboundary Rivers—Taking Ping’er Hydrological Station as an Example

摘要: 针对跨境河流水文监测中存在的上游来水不透明、时效性低、人工作业风险较大等难题，本文以武大AiFlow视觉测流技术在平而水文站的应用为例，分析此测流技术精度和可行性。结果表明，武大AiFlow视觉测流技术能够高频、连续、非接触地获取水文要素，精确捕捉洪水过程，提高测流效率。为跨境河流洪水预警、下游调度等方面提供了科学依据。基于本研究成果，视觉测流技术在类似跨境河流的水文监测中具有广泛推广应用价值，可作为实现全周期、全自动化、非接触式的连续水文监测的重要手段，同时为边境贸易、生态环境保护及水电调度提供了技术支撑。

Abstract: Hydrological monitoring in transboundary rivers currently faces significant challenges, including lack of upstream inflow data, untimely data acquisition, and high risks associated with manual measurement. This study examines the accuracy and feasibility of Wuhan University AiFlow Visual Flowmeter Technology through its application at the Ping’er Hydrological Station. The results indicate that AiFlow enables high-frequency, continuous, and non-contact acquisition of hydrological parameters, accurately capturing flood dynamics and significantly improving measurement efficiency. These findings provide a scientific basis for flood warning and downstream scheduling in transboundary river basins. Moreover, the study highlights the broad applicability of AiFlow Visual Flowmeter Technology in similar transboundary river environments. As a promising tool for full-cycle, fully automated, and non-contact hydrological monitoring, it also offers technical support for border trade, ecological and environmental protection, and hydro-power dispatching.