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图像法测流系统开发与应用------张 振,周 扬,李旭睿,陈 红,刘林海
      来源:南京水利水文自动化研究所    [大][中][小]

 1,周 1,李旭睿1,陈 2,刘林海3

1. 河海大学计算机与信息学院,江苏 南京211100

2. 河海大学水利水电学院,江苏 南京 210098

3. 浙江省水文局,浙江 杭州310009

 :基于市面上现有的视频监控摄像机开发一套图像法测流系统,实现非接触式的水尺水位、表面流速和断面流量远程在线监测。测流系统采用风光互补供电,并运用虚拟局域网( VPN )技术和 4G 移动通信网络实现远程访问,可在野外自治运行长达 7个阴雨天。通过集成少量低成本的辅助测量设备及对测量算法在现场应用中的优化设计,能够有效抑制水面耀光、阴影等噪声的干扰,并可直接利用天然漂浮物或水面模式进行表面流速测量。测试结果表明,测流系统能够在数分钟内完成一次测量,得到现场的视频图像、稳定的时均水位、测点高度密集的流速分布,以及子断面高达上百个的断面流量。相比传统测流仪器具有时空分辨率高的优势,有利于捕获暴雨、山洪等极端条件下的水文过程。

关键词:视频监控系统;图像处理;水文遥测;非接触式测量


Development and application of an image-based flow measurement system

           ZHANG Zhen1, ZHOU Yang1, LI Xurui1, CHEN Hong2, LIU Linhai3                

(1. College of Computer and Information Engineering, Hohai University, Nanjing 211100, China;

2. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;

3. Hydrological Bureau of Zhejiang Province, Hangzhou 310009, China)

Abstract: Using the existing video surveillance camera, an image-based flow measurement system is developed to realize on-line telemetry of non-contact water level, surface velocity and discharge. The system is powered by a wind and photovoltaic hybrid power source and remotely accessed via the 4G mobile communication network with VPN technology. It can automatically run in the wild for up to 7 rainy days. A small number of low-cost auxiliary measuring devices are integrated and the measuring algorithms are optimized for field application. On account of this, the influence of water surface noises like glares and shadows is effectively decreased, and the surface velocities can be directly measured by tracing of nature floating debris or free-surface patterns. Testing results show that, the system can perform single measurement in several minutes, output data including video and image on site, stable time-averaged water level, high density velocity distribution and discharge with subsections up to hundreds. Compared with traditional flow measurement instruments, it is superior in high spatial and temporal resolution, thus has great potential to record the hydrological processes under extreme conditions, such as rainstorm and flash flood.

Key words: video surveillance system; image processing; hydrological telemetry; non-contact measurement

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