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基于图像智能识别的中小河流流量监测系统应用研究 被引量:1

Application Research of Discharge Measurement System for Small and Medium Rivers Based on Image Intelligent Recognition
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摘要 基于机器视觉智能算法自动提取分析水流天然示踪物运动要素信息,研制天然河道流量监测系统,并在浙江临安桥东村水文站开展比测实验研究。提出运用“单宽流量比较法”确定代表性测点流速的权重,在测点流速稳定性分析的基础上优选代表性测点流速,合成指标流速并开展推流和误差分析。实验期白天时段中,测站高水期图像法测流系统误差-1.93%,随机不确定度25.8%。夜晚时段各水位级误差指标较白天总体偏大,高水期系统误差-4.63%,随机不确定度16.3%。研究显示,现阶段图像法测流可作为中高水期流量测验的辅助手段,该方法应用于全天候环境还须进一步探索,测量精度亦需提高。 This study automatically extracted and analyzed natural tracer motion information of water flow based on machine vision intelligent algorithm,developed a natural river discharge measurement system,and a comparative experimental study was carried out in Zhejiang Lin’an Qiaodong village hydrometric station.This paper proposed to use the“unit discharge comparison method”to determine the weight of the velocity of the representative measuring points,selected the velocity of these points based on the stability analysis,and synthesized the index velocity to carry out the discharge computation and error analysis.During the daytime of the experimental period,the systematic error of image-based discharge measurement system in the high water level period of the station was-1.93%,and the random uncertainty was 25.8%.The error of each water level at night was larger than that in daytime,the systematic error in the high water level period was-4.63%,and the random uncertainty was 16.3%.The study shows that the image-based discharge measurement method can be used as an auxiliary means of discharge measurement in the middle and high water level periods.The application of this method in all-weather environment needs to be further explored,and the measurement accuracy also needs to be improved.
作者 孟健 木正鹏 李留东 汪康 兰天麒 MENG Jian;MU Zhengpeng;LI Liudong;WANG Kang;Lan Tianqi(Hangzhou Hydrology and Water Resources Monitoring Center,Hangzhou 310016,Zhejiang,China;College of Computer and Information Engineering,Hohai University,Nanjing 211100,Jiangsu,China;Hangzhou Lin’an District Hydrological Station,Hangzhou 311300,Zhejiang,China)
出处 《浙江水利科技》 2023年第6期88-94,共7页 Zhejiang Hydrotechnics
基金 杭州市农业与社会发展一般项目(20201203B103)。
关键词 图像法测流 测点流速 指标流速 比测实验 误差分析 image-based discharge measurement measuring point velocity index velocity comparative experiment error analysis
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