基于数字图像技术的水资源计量数据实时采集系统研发及应用
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(1.河海大学水利水电学院;2.河海大学苏州研究院;3.沂沭泗水利管理局沂沭河水利管理局;4.苏州市河道管理处 )

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陈红(1981—),男,正高级实验师,博士,主要从事水利信息化研究。E-mail:chh_hhu@hhu.edu.cn

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Development and application of real-time water resources metering data acquisition system based on digital image technology
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(1.College of Water Conservancy and Hydropower Engineering, Hohai University; 2.Suzhou Institute for Advanced Research of Hohai University; 3.Yishuhe Water Conservancy Bureau of Yishusi Conservancy Bureau; 4.Suzhou River Management Department)

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    摘要:

    针对当前大量取用水数据未采用在线方式采集,导致数据统计时间间隔大、数据偏差发现不及时的问题,研发了水资源计量数据实时采集系统,该系统采用摄像机实时采集取用水计量仪表显示数据,经图像处理、识别,提取相应水量数据,实现水量数据的在线采集。基于数字图像技术,构建了水表字符区定位方法,创立了水表字符自适应模板匹配算法,识别准确率提高至97.5%。系统已应用于山东某规模以上取水户取水数据实时采集,对比用户上报数据可知,系统具有自动校核功能,为水资源精细化管理提供了支持。

    Abstract:

    To address the current problem where a large volume of water withdrawal and usage data is not collected online, leading to large statistical time intervals and untimely detection of data deviations, a real-time water resources metering data acquisition system was developed. The system employs cameras to capture real-time images of the data displayed on water withdrawal and usage meters. Through image processing and recognition, the corresponding water volume data are extracted, enabling online collection of water volume data. Based on the digital image technology, a method for locating the character area of water meters was constructed, and an adaptive template matching algorithm for water meter characters was created, improving the recognition accuracy to 97.5%. The system has been applied to the real-time acquisition of water withdrawal data from a large-scale water user in Shandong Province. A comparison with the user-reported data shows that the system has an automatic verification function, providing support for the refined management of water resources.

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陈红,金鹏涛,马世斌,等.基于数字图像技术的水资源计量数据实时采集系统研发及应用[J].水利水电科技进展,2026,46(2):71-75.(Chen Hong, Jin Pengtao, Ma Shibin, et al. Development and application of real-time water resources metering data acquisition system based on digital image technology[J]. Advances in Science and Technology of Water Resources,2026,46(2):71-75.(in Chinese))

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  • 收稿日期:2025-03-06
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  • 在线发布日期: 2026-04-14
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