新一代视频智能测流技术及应用研究OA

To address the problems of long construction periods,high investment,and difficult operation and maintenance in traditional hydrological monitoring methods,this paper adopted artificial intelligence(AI)technology,and based on core technologies such as non-contact three-dimensional spatial calibration and dynamic water level visual plane ranging,proposed a new-generation video-based intelligent flow measurement technical architecture and its integrated product,SkyView.For six typical application scenarios,conventional flow measurement in standard hydrological sections,large-section flow measurement in plateau canyons,small-section flow measurement in irrigation areas,low-flow and ecological flow monitoring,flood emergency flow measurement,and sectional flow measurement during hydropower project construction,four flow measurement modes were established:fixed ground video monitoring stations,portable unmanned aerial vehicles(UAVs),UAV nests,and mobile phone-based flow measurement.The results of practical applications in several major engineering and water conservancy projects show that this technology enables high-precision and automatic monitoring of hydrological elements such as water level,flow velocity,and discharge under complex conditions.It significantly reduces monitoring costs and hydrological operational risks while improving the intelligence level and construction efficiency of flow measurement stations.The research results provide a new technical support for the in-depth development and utilization of water conservancy video resources.