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面向新质生产力的水文智能感知研究与实践
Research and Practice on Hydrological Intelligent Perception Based on New Quality Productive Forces
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。
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.
水文 / 新质生产力 / 数字孪生 / 智能感知 / 量子点光谱
hydrology / new quality productive forces / digital twin / intelligent perception / quantum dot spectroscopy
| [1] |
杨寅. 新质生产力赋能会计数字化转型的核心要素、运行机理与逻辑框架[J]. 财会月刊, 2024(7):25-29.
(
|
| [2] |
李国英. 加快建设数字孪生流域提升国家水安全保障能力[J]. 中国水利, 2022(20):1.
(
|
| [3] |
程海云. 推进新时代长江水文高质量发展体系建设构想[J]. 人民长江, 2023, 54(1): 88-97.
(
|
| [4] |
李弘. 技术驱动数字化转型出版迈入高质量发展[J]. 新阅读, 2021(12):7-10.
(
|
| [5] |
蔡阳. 数字孪生水利建设中应把握的重点和难点[J]. 水利信息化, 2023(3): 1-7.
(
|
| [6] |
刘少杰. 从实践出发认识网络化、数字化和智能化[J]. 社会科学研究, 2022(2): 66-71.
(
|
| [7] |
中华人民共和国水利部. 中国水文年报:2022[M]. 北京: 中国水利水电出版社, 2023.
(Ministry of Water Resources of People’s Republic of China. Annual Report of Hydrology in China:2022[M]. Beijing: China Water Resources and Hydropower Press, 2023. (in Chinese))
|
| [8] |
魏新平, 蒋蓉, 刘晋, 等. 水文基础设施建设形势与任务浅析[J]. 水文, 2015, 35(1):77-81.
(
|
| [9] |
林祚顶, 刘志雨. 加快构建雨水情监测预报“三道防线” 工作思考[J]. 中国水利, 2023(12): 5-10.
(
|
| [10] |
段文超, 周裕红. 水文站网规划与建设存在问题及对策初探[J]. 中国水利, 2009(增刊1):36-37, 134.
(
|
| [11] |
周文静, 蒋四维. 汉江流域水文站网优化调整与管理机制研究[J]. 水利水电快报, 2021, 42(8): 12-15.
(
|
| [12] |
吕欣, 邓娟, 时青. 基于WebGIS的水文站网管理系统初探[J]. 山东水利, 2020(10): 36-37, 39.
(
|
| [13] |
王俊, 王建群, 余达征. 现代水文监测技术[M]. 北京: 中国水利水电出版社, 2016.
(
|
| [14] |
林祚顶. 水文现代化与水文新技术[M]. 北京: 中国水利水电出版社, 2008.
(
|
| [15] |
李国杰, 程学旗. 大数据研究: 未来科技及经济社会发展的重大战略领域: 大数据的研究现状与科学思考[J]. 中国科学院院刊, 2012, 27(6): 647-657.
(
|
| [16] |
张亭, 吴尧. 汉口水文站水位流量单值化方案及其应用[J]. 人民长江, 2014, 45(9):39-42.
(
|
| [17] |
张驰, 香天元, 盛钟铭, 等. 长江中游“智慧水文”实践与思考[J]. 水利水电快报, 2021, 42(5):58-62.
(
|
| [18] |
何元翠, 桑国庆, 程亮, 等. 黄河流域水文深度学习架构设计与应用[J]. 济南大学学报(自然科学版), 2022, 36(2): 164-169.
(
|
| [19] |
黄河, 邓山. 视觉测流技术在中小河流洪水流量监测中的应用研究[J]. 长江技术经济, 2023, 7(4):112-117.
(
|
| [20] |
邓山, 梅军亚, 赵昕. 卫星遥感流量测验现状及发展方向研究[C]//中国水利学会.2022中国水利学术大会论文集(第五分册). 郑州: 黄河水利出版社,2022:1-5.
|
| [21] |
|
| [22] |
牟芸, 张亭. 水文资料整汇编在线一体化技术研究与应用[J]. 人民长江, 2022, 53(增刊2): 188-191.
(
|
/
| 〈 |
|
〉 |