基于云-边-端构建高含沙灌区雷达测流智慧服务平台
收稿日期: 2025-02-26
录用日期: 2025-04-13
网络出版日期: 2025-09-28
基金资助
兵团财政科技计划项目(2023AB060);北京市农林科学院重大学科培育项目：智慧灌溉关键技术装备及产业化
The Intelligent Service Platform of Radar Flow Measurement in High Sediment Content Irrigation Area was Constructed Based on Cloud-Edge-End
Received date: 2025-02-26
Accepted date: 2025-04-13
Online published: 2025-09-28
探讨了高含沙灌区雷达测流智慧服务平台的构建和应用，设计并搭建了基于云-边-端的智慧服务平台，实现了灌区信息化和高效化管理。在架构中，终端设备负责在灌区现场实时采集水位、流量、流速等关键水情数据；边缘计算节点靠近数据源，实时分析和传输数据，有效降低传输延迟和带宽消耗；云端则集中处理边端和终端数据，提供数据存储、深入分析及可视化等服务功能。平台在新疆维吾尔自治区沙湾市安集海镇的巴音沟河灌区进行了实际应用，展示了本平台在水情数据采集、传输、处理以及分析等方面的有效性，为高含沙灌区的水情监测、水资源合理调配、防洪减灾等方面提供了有力的技术支撑，对推动高含沙灌区水利信息化发展具有重要意义。
关键词： 高含沙灌区; 云-边-端协同服务平台; 雷达-视觉融合监测技术; 水情实时监控
韩芙蓉 , 郝星耀 , 李晶晶 , 郑文刚 , 林萍 , 郭瑞 . 基于云-边-端构建高含沙灌区雷达测流智慧服务平台[J]. 农业大数据学报, 2025 , 7(3) : 320 -330 . DOI: 10.19788/j.issn.2096-6369.000104
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.
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