长江科学院院报 ›› 2023, Vol. 40 ›› Issue (3): 186-190.DOI: 10.11988/ckyyb.20220825

• 数字孪生水利工程关键技术专栏 • 上一篇    

人工智能视频识别在水利数字孪生中的典型应用

赵科锋1,2, 曹慧群1,2, 林莉1,2, 靖争1,2, 罗平安1,2   

  1. 1.长江科学院 流域水环境研究所,武汉 430010;
    2.长江科学院 流域水资源与生态环境科学湖北省重点实验室,武汉 430010
  • 收稿日期:2022-07-12 修回日期:2022-11-03 出版日期:2023-03-01 发布日期:2023-03-28
  • 作者简介:赵科锋(1989-),男,河南周口人,工程师,硕士,主要从事水环境数值模拟方面的工作。E-mail:zhaokefeng_hhu@163.com
  • 基金资助:
    国家自然科学基金重点项目(52130903)

Typical Applications of Artificial Intelligence Video Recognition in Water Conservancy Digital Twin

ZHAO Ke-feng1,2, CAO Hui-qun1,2, LIN Li1,2, JING Zheng1,2, LUO Ping-an1,2   

  1. 1. Basin Water Environmental Research Department, Changjiang River Scientific Research Institute, Wuhan430010, China;
    2. Hubei Provincial Key Laboratory of Basin Water Resources and Eco-environmental Sciences, Changjiang River Scientific Research Institute, Wuhan 430010, China
  • Received:2022-07-12 Revised:2022-11-03 Online:2023-03-01 Published:2023-03-28

摘要: 视频监控与人工智能技术越来越广泛应用在水利智慧化建设方面,数字孪生建设是构建智慧水利的关键和核心。针对水利数字孪生建设实际需求,利用视频监控、图像处理、人工智能等技术手段,研发视频智能识别模型系统,通过智能模拟,实现与物理要素仿真运行、虚实交互。主要针对视频智能识别在水利数字孪生中主要应用场景进行系统化设计,实现如水尺识别、漂浮物识别、地表水体检测等应用。从实际运行情况来看,视频智能识别系统能够实现对物理对象进行不间断监控、分析、识别及预测预警,在水利智慧化建设方面具有较大的应用价值。

关键词: 人工智能, 数字孪生, 水尺识别, 漂浮物识别, 地表水体检测

Abstract: Video surveillance and artificial intelligence technologies are increasingly widely used in the construction of smart water conservancy. Digital twin construction is the key and core of building smart water conservancy. In line with the actual needs of water conservancy digital twin construction, we developed a video intelligent recognition model system using video monitoring, image processing, artificial intelligence and other technical means. With this system, intelligent simulation could interact with physical element videos. We highlight the systematic design of main application scenarios such as water gauge recognition, floating object recognition, surface water body detection and others. According to actual operation, the video intelligent recognition system can monitor, analyze, identify, predict and early warn physical objects continuously, hence has great application value in the intelligent construction of water conservancy.

Key words: artificial intelligence, digital twin, water gauge recognition, floating object recognition, surface water body detection

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