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作 者:张永宏[1] 李飞翔 董天天[1] 秦夏洋 陈城[1] 方卫华[2] ZHANG Yong-hong;LI Fei-xiang;DONG Tian-tian;QIN Xia-yang;CHEN Cheng;FANG Wei-hua(School of Automation,Nanjing University of Information Science and Technology,Nanjing 211800,Jiangsu Province,China;Nanjing Automation Institute of Water Conservancy and Hydrology,Ministry of Water Resources,Nanjing 210012,Jiangsu Province,China)
机构地区:[1]南京信息工程大学自动化学院,江苏南京211800 [2]水利部南京水利水文自动化研究所,江苏南京210012
出 处:《中国农村水利水电》2024年第10期1-6,共6页China Rural Water and Hydropower
基 金:国家自然科学基金面上项目(42175157)。
摘 要:水流量是水文测验的重要信息,有助于了解河道的水流量变化并预测其走势。传统的接触式水流量检测方法在应急情形下受环境影响较大,测流装置安装难度大,测量效率低,为解决这一问题,基于非接触式的时空影像法的视频测流的计算方法,选取南京市滁河浦口段为试验对象,开展水流量检测的研究。检测方法使用视频测流的方式对水流进行测速,采集到的数据经过可视化处理后展示在终端设备的界面上,采集的数据能够按照水文协议的数据格式传输至指定地址。试验结果表明,通过使用无人机搭载视频测流设备能快速有效的完成水流量的检测,并通过终端设备将数据以可视化的形式展示,方便相关人员查看。该检测形式测量快速、安全、环境适应性好,深入研究这一检测形式可推动水文测验的智慧化和集成化建设。Water flow is an important piece of information in hydrological assessments,aiding in understanding variations in river flow and predicting its trends.Traditional contact-based methods for measuring water flow are greatly affected by environmental conditions during emergencies,with difficulties in installation and low measurement efficiency.To address this issue,this study explores a method for calculating video-based flow measurements using a non-contact spatiotemporal imaging approach.The study selects the Pukou section of the Chuhe River in Nanjing City as the experimental site for water flow detection.The detection method in this paper uses video flow measurement to measure the velocity of water flow.The collected data is processed visually and displayed on the interface of terminal equipment,and the collected data can be transmitted to a specified address in the format of the hydrological protocol.Experimental results indicate that using drones equipped with video flow measurement devices can rapidly and effectively complete water flow detection.The data can be displayed in a visual format on terminal equipment,facilitating viewing by relevant personnel.This form of detection is fast,safe,and environmentally adaptive,with the potential for practical applications.Further research into this detection method will promote the smart and integrated development of hydrological assessments.
分 类 号:TV697.21[水利工程—水利水电工程]
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