Abstract:

This paper explores the development and application of an intelligent service platform for radar flow measurement in irrigation areas with high sediment content. The platform is designed and constructed as a cloud-edge-end collaborative system, enabling the informatization and efficient management of such irrigation areas. Within this architecture, terminal devices are tasked with real-time collection of critical hydrological data, including water level, flow rate, velocity, and other parameters specific to the irrigation area. Edge computing nodes, positioned near the data source, facilitate real-time analysis and transmission of data, effectively minimizing latency and bandwidth consumption. Meanwhile, the cloud serves as the central hub for processing data from both edge nodes and terminals, offering robust services such as data storage, advanced analytics, and visualization. This platform has been successfully implemented in the Bayingou River Irrigation District of Anjihai Town, Shawan City, Xinjiang Uygur Autonomous Region. Its effectiveness in hydrological data acquisition, transmission, processing, and analysis has been demonstrated, providing substantial technical support for water situation monitoring, rational allocation of water resources, and flood control in high sediment content irrigation areas. Promoting the informatization of water conservancy in these regions holds significant importance.

Key words: high sediment content irrigation area, cloud-edge-end collaborative service platform, radar-vision fusion monitoring technology, real-time monitoring of water conditions