西北工程技术学报2026，Vol.25Issue(1)：19-26,32,9.DOI:10.26974/j.cnki.XBGC.2026.01.003
基于图像智能识别的引黄灌区干渠视频测流方法
Video-Based Discharge Measurement Method for Main Canals in the Yellow River Irrigation District Using Intelligent Image Recognition
尹婷1
作者信息
- 1. 宁夏回族自治区汉延渠管理处,宁夏 银川 750001
- 折叠
摘要
Abstract
To evaluate the measurement accuracy and adaptability of video-based discharge gauging,this study targets the main canals of the Ningxia Yellow River Diversion Irrigation District.Using video data from two representative cross-sections,it proposed a real-time dynamic discharge measurement method for irrigation canals based on intelligent video-image recognition and validated it against synchronous discharge observations from a vertical acoustic Doppler current profiler(V-ADCP).The results indicate that in wide and shallow cross-sections,the video-based method achieves higher monitoring and recognition accuracy,with relative deviations ranging from-21.5%to 15.2%.Moreover,when the water surface exhibits abundant texture and floating tracers,measurement accuracy improves and adaptability is further enhanced.These findings provide a technical reference for video-based discharge gauging in the main canals of the Ningxia Yellow River Diversion Irrigation District.关键词
视频测流/图像智能识别/比测分析/相对偏差/引黄灌区Key words
video-based discharge measurement/intelligent image recognition/comparative analysis/relative deviation/Yellow River Diversion Irrigation District分类
天文与地球科学引用本文复制引用
尹婷..基于图像智能识别的引黄灌区干渠视频测流方法[J].西北工程技术学报,2026,25(1):19-26,32,9.
