[1]赵建华,叶文,阮哲伟,等.无人机视觉测流技术在河流流量监测中的应用[J].江苏水利,2022,(07):37-40.
 ZHAO Jianhua,YE Wen,RUAN Zhewei,et al.Application of UAV visual flow velocimetry in river flow monitoring[J].JIANGSU WATER RESOURCES,2022,(07):37-40.
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无人机视觉测流技术在河流流量监测中的应用()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2022年07期
页码:
37-40
栏目:
水文水资源
出版日期:
2022-08-03

文章信息/Info

Title:
Application of UAV visual flow velocimetry in river flow monitoring
文章编号:
1007-7839(2022)07-0037-0004
作者:
赵建华1叶文1阮哲伟2孙圣舒2施韶晖1龚靖培2
(1.江苏省水文水资源勘测局宿迁分局,江苏 宿迁 223800;2.南京昊控软件技术有限公司,江苏 南京 210000)
Author(s):
ZHAO Jianhua1 YE Wen1 RUAN Zhewei2 SUN Shengshu2 SHI Shaohui1 GONG Jingpei2
(1.Suqian Branch of Jiangsu Province Hydrology and Water Resources Investigation Bureau, Suqian 223800, China;2.Nanjing Hawk Soft Technology Co., Ltd., Nanjing 210000, China)
关键词:
视觉流量无人机表面流速
Keywords:
visual flow UAV surface velocity
分类号:
TV123
文献标志码:
B
摘要:
以无人机和人工智能为核心的视觉测流技术研究可极大地简化河流测验任务流程,提升测验效率,降低测验成本。对水面图像测速技术及水面示踪物与纹理模态识别算法进行基础研究,通过与无人机技术的结合,研发适用于水文行业河流流速、流量测验的无人机视觉测流系统(UVFV),并开展了实地测验与数据比对工作。研究结果表明,无人机视觉测流系统性能先进、高效便捷、数据精准,系统的断面流量估计误差小于5%,能够充分响应河流应急监测和常规水文测验的需求,可为水文行业信息化、现代化建设提供技术支撑。
Abstract:
The research on visual flow measurement technology focused on UAV and artificial intelligence will greatly simplify the process of river testing tasks, improve testing efficiency, and reduce testing costs. This paper has carried out basic research on water surface image velocity measurement technology and water surface tracer and texture modal recognition algorithm. Through combination with UAV technology, the research team has developed a set of UAV visual flow velocimetry (UVFV) system suitable for river velocity and flow measurement in hydrological industry, and carried out field test and data comparison. The research results show that the UAV visual flow measurement system has advanced performance, high efficiency, convenience and accurate data. The cross-sectional flow estimation error of the system is less than 5%, which can fully respond to the needs of river emergency monitoring and routine hydrological testing and provide strong technical support for the modernization of hydrological industry information.

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备注/Memo

备注/Memo:
收稿日期:2022-04-22
作者简介:赵建华(1966—),男,高级工程师,本科,主要从事水文水资源相关工作。E-mail:zhaojjhh@126.com
更新日期/Last Update: 2022-07-15