摘要
长江上游航道急险滩众多,通航安全问题突出,通航船舶对航道水流要素的监测与服务需求迫切,但缺乏适宜监测技术的应用实践。选取多种水流监测技术进行适应性分析,开展无人机雷达测流和无人机水面成像测流与传统测流方式进行现场比测试验,并提出智能应用思路。结果表明:无人机雷达测流方案可同步测量流速和水位,流速精度高于96%,水位误差在0.1 m以内,测流精度较高,适用于急滩水流要素监测;无人机成像测流方案能够较好地反映平面流场,更适用于不良流态险滩水流要素监测;通过研发智能服务系统,利用现场监测水流数据和数学模型计算数据融合应用,可为船舶航运提供及时、准确和更全面的水流信息支持。
The upper reaches of the Yangtze River feature numerous rapids and hazardous rapids,where navigable safety poses significant challenges.There is an urgent demand for monitoring hydraulic parameters and providing services to vessels navigating these channels,but there is a lack of practical application of suitable monitoring technologies.We analyze multiple flow monitoring technologies and their adaptability,conducting field comparison tests between unmanned aerial vehicle(UAV)radar-based flow measurement and UAV surface imaging velocimetry.Then we propose a framework for intelligent application.The results demonstrate that the UAV radar-based method can simultaneously measure flow velocity and water level with high accuracy,velocity measurements achieve over 96%precision,and water level errors are within 0.1 m,making it suitable for monitoring hydraulic parameters in rapids.The UAV imaging velocimetry method effectively captures planar flow fields,proving more applicable for monitoring complex flow patterns in hazardous rapids.By developing an intelligent service system and applying the integrated use of on-site water flow monitoring data and mathematical model calculations,timely,accurate,and more comprehensive water flow information support can be provided for shipping.
作者
邓良爱
朱代臣
金健灵
DENG Liang'ai;ZHU Daichen;JIN Jianling(Changjiang Waterway Bureau,Wuhan 430010,China;Chongqing Shipping Engineering Survey and Design Institute of the Yangtze River,Chongqing 401147,China;Chongqing Jiaotong University,Chongqing 400074,China)
出处
《水运工程》
2026年第4期149-158,共10页
Port & Waterway Engineering
基金
国家重点研发计划项目(2024YFC3212500)
长江航道局重点科技项目(2024030007)。
关键词
长江上游航道
急滩
险滩
水流要素
监测技术
智能服务
upper channel of the Yangtze River
rapids
hazardous rapids
hydraulic parameter
monitoring technology
intelligent service
