长江科学院院报 ›› 2024, Vol. 41 ›› Issue (11): 1-6.DOI: 10.11988/ckyyb.20240334

• 专家特约稿 • 上一篇    下一篇

面向新质生产力的水文智能感知研究与实践

梅军亚()   

  1. 长江水利委员会水文局,武汉 430010
  • 收稿日期:2024-04-02 修回日期:2024-06-11 出版日期:2024-11-01 发布日期:2024-11-26
  • 作者简介:

    梅军亚(1969-),男,湖北黄梅人,正高级工程师,博士,主要从事水文技术研究与管理工作。E-mail:

  • 基金资助:
    长江水利委员会科技人才创新团队项目; 国家重点研发计划项目(2022YFC3204502)

Research and Practice on Hydrological Intelligent Perception Based on New Quality Productive Forces

MEI Jun-ya()   

  1. Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan 430010, China
  • Received:2024-04-02 Revised:2024-06-11 Published:2024-11-01 Online:2024-11-26

摘要:

在数字化时代的汹涌潮流下,各行各业正加速拥抱新质生产力的构建与革新,水利部对数字孪生流域及数字孪生水文的建设提出了更为严苛且前瞻的要求。针对当前水文工作面临的诸多挑战,经深入剖析发现,站网布局在部分区域仍存在显著空白,智能感知技术的融合与应用能力亟待加强,专业算法的智慧化转型尚需深化,全业务链应用系统的构建也尚未完善。因此依托长江水利委员会水文局长期的研究积淀与实践经验,提出了一系列针对性策略:通过持续优化站网布局并升级设施设备,构建更为综合高效的站网体系;通过实施“一站一策”策略,着力提升水文测报能力,并积极探索量子点光谱测沙等前沿技术,打造高度融合的智能感知体系;通过开展智能推流算法、低枯水流量测验算法及水文大模型等研究,构建智能算法集群;通过研发长江智慧水文监测管理系统、水文资料在线整汇编系统,搭建起覆盖全业务链的WISH应用系统。所提出的一系列水文智能感知技术研究与装备研制策略,将为加速发展水文领域的新质生产力提供有力支撑。

关键词: 水文, 新质生产力, 数字孪生, 智能感知, 量子点光谱

Abstract:

Under the surging trend of the digital age, various industries are accelerating the construction and innovation of new quality productivity. The Ministry of Water Resources has put forward more stringent and forward-looking requirements for the construction of digital twin watersheds and digital twin hydrology. In response to the many challenges faced by current hydrological work, in-depth analysis has found that there are still significant gaps in the layout of station networks in some areas. The integration and application capabilities of intelligent perception technology urgently need to be strengthened, the intelligent transformation of professional algorithms still needs to be deepened, and the construction of the full business chain application system is not yet perfect. Based on the long-term research accumulation and practical experience of the Yangtze River Commission Hydrological Bureau, this article proposes a series of targeted strategies: 1)By continuously optimizing the station network layout and upgrading facilities and equipment, a more comprehensive and efficient station network system can be constructed. 2)By implementing the “one policy for one station” strategy, we will focus on improving hydrological measurement and reporting capabilities, and actively explore cutting-edge technologies such as quantum dot spectroscopy for sand measurement, to create a highly integrated intelligent perception system.3)By conducting research on intelligent flow prediction algorithms, low dry flow measurement algorithms, and hydrological models, an intelligent algorithm cluster is constructed.4)By developing the Yangtze River Smart Hydrological Monitoring and Management System and the Hydrological Data Online Compilation System, we have built a WISH application system that covers the entire business chain. The series of hydrological intelligent perception technology research and equipment development strategies proposed in this article will provide strong support and promotion for accelerating the development of new quality productivity in the hydrological field.

Key words: hydrology, new quality productive forces, digital twin, intelligent perception, quantum dot spectroscopy

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