武大AiFlow视觉测流技术在灌区流量监测的应用研究

Research on the Application of Wuhan University AiFlow Visual Flowmeter Technology in Irrigation District Flow Monitoring

摘要: 在推进农田水利现代化建设的进程中，强化灌区水资源的信息化管理与自动化监测体系，成为引领灌区改革与农业发展的关键因素。鉴于新兴的视觉测流技术在各水文场景的逐渐推广，探讨其对灌区流量监测的适用性十分必要。本文主要研究了视觉测流在淠史杭灌区横排头、浙江金华安地灌区，以及湖北省王英水库的监测效果，结果显示，淠史杭灌区横排头站点视觉测流流量与横排头水文站查线流量之间的系统误差在±1%以内，随机不确定度在8%以内，测验精度符合一类精度水文站的相关要求；金华安地灌区两站点视觉测流流量与灌区瞬时放水流量的相对误差控制在±5%之内，且时段内总过水量与计划放水量的差异仅为3.62%，湖北王英水库法隆河站的视觉测流表面流速与浮标法的对比结果均在5%以内；充分证明了武大AiFlow视觉测流技术在灌区流量监测中的高精度、可靠性及稳定性，彰显了该技术在灌区具有良好的适用性。

Abstract: In the process of promoting the modernization of agricultural water conservancy construction, strengthening the information-based management and automated monitoring system of water resources in irrigation areas has become a key factor in leading the reform and development of agriculture. Given the gradual promotion of emerging visual flow measurement technology in various hydrological scenarios, it is very necessary to explore its applicability to the flow measurement of irrigation areas. This paper mainly studies the monitoring effect of visual flow measurement in the Pishihang Irrigation Area, Hengpai Head, Jinhua Andi Irrigation Area in Zhejiang, and Wangying Reservoir in Hubei Province. The results show that the systematic error between the visual flow measurement flow of the Hengpai Head site in the Pishihang Irrigation Area and the flow measurement line flow of the Hengpai Hydrological Station is within ±1%, and the random uncertainty is within 8%. The test accuracy meets the requirements of a first-class precision hydrological station; the relative error between the visual flow measurement flow of the two sites in the Jinhua Andi Irrigation Area and the instantaneous water release flow of the irrigation area is controlled within ±5%, and the difference between the total runoff within the time period and the planned water release volume is only 3.62%. The comparison results of the visual flow surface velocity of the Falong River station at Wangying Reservoir in Hubei and the buoy method are all within 5%; it fully proves that the Wuhan University AiFlow visual flow measurement technology has high precision, reliability, and stability in the flow measurement of irrigation areas, highlighting that the technology has good applicability in irrigation areas.