初秀民,聂梓熠,刘怀汉,等. 航道水沙要素移动测量技术研究综述[J]. 水利水运工程学报,2022(2):1-10. doi: 10.12170/20210223001
引用本文: 初秀民,聂梓熠,刘怀汉,等. 航道水沙要素移动测量技术研究综述[J]. 水利水运工程学报,2022(2):1-10. doi: 10.12170/20210223001
(CHU Xiumin, NIE Ziyi, LIU Huaihan, et al. Review of mobile measurement research on multiple water and sediment elements of waterway[J]. Hydro-Science and Engineering, 2022(2): 1-10. (in Chinese)). doi: 10.12170/20210223001
Citation: (CHU Xiumin, NIE Ziyi, LIU Huaihan, et al. Review of mobile measurement research on multiple water and sediment elements of waterway[J]. Hydro-Science and Engineering, 2022(2): 1-10. (in Chinese)). doi: 10.12170/20210223001

航道水沙要素移动测量技术研究综述

Review of mobile measurement research on multiple water and sediment elements of waterway

  • 摘要: 航道水沙要素具有强时变、非线性、随机性等特征,大范围时空数据的快速获取是航道运行观测的难点。随着传感器、物联网、移动计算等技术的发展,基于船载传感器的航道水沙要素观测技术已经成为当前航道测量领域的重要研究方向。介绍了水上水下一体化船载测量系统研究现状,综合波浪、水流、泥沙等要素移动观测技术需求,分析了船载航道水沙要素传感器信息处理技术原理与特点,综述了航道水沙信息多源图像处理智能方法研究成果,展望了航道水沙要素测量核心传感器、智能学习、实时计算等关键技术方法。研究表明:结合新一代人工智能技术开发新型高分辨率的水沙观测传感器,研制集成船载传感器的航道水沙要素移动测量系统在原理与技术上具有可行性。

     

    Abstract: The flow and sediment of inland waterways are generally characterized by strong time-varying, nonlinearity and randomness. The rapid and efficient measurement of the spatio-temporal data in a large range is noted as a challenging task. With the development of shipborne sensors, Internet of Things, mobile computing and other technologies, the hydrology observations based on shipborne sensors have drawn more attentions in the past several years. The research progress of shipborne integrated underwater and aquatic measurement system is introduced. The technical requirements of a shipborne observation system of waterway hydrology are thus demonstrated in details. The basic principles and characteristics of the information processing technology of flow and sediment particles are further analyzed. A literature review of intelligent multi-source image processing methods for waterway engineering is provided. Prospects of the core sensors, intelligent algorithms, real-time computing models and other key technologies are summarized. The technical analysis shows that it is generally feasible to develop an integrated mobile measurement system for hydrological elements of inland waterways based on the new generation of artificial intelligence technology and the high resolution shipborne sensors.

     

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