[1]徐兢,吉凤鸣,王凌微,等.基于智能大型泵站运维管理新模式研究[J].江苏水利,2026,(02):49-52.
　XU Jing,JI Fengming,WANG Lingwei,et al.Research on new operation and maintenance management modes for intelligent large-scale pumping stations[J].JIANGSU WATER RESOURCES,2026,(02):49-52.
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基于智能大型泵站运维管理新模式研究()

《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2026年02期
页码:
49-52
栏目:
水利信息化
出版日期:
2026-02-01

文章信息/Info

Title:
Research on new operation and maintenance management modes for intelligent large-scale pumping stations
文章编号:
1007-7839（2026）02-0049-0004
作者:
徐兢1; 吉凤鸣2; 王凌微1; 章野1
（1. 江苏省江都水利工程管理处，江苏 扬州225200；2. 盐都区水务局秦南水务站，江苏 盐城224021）
Author(s):
XU Jing1;  JI Fengming2;  WANG Lingwei1;  ZHANG Ye1
（1. Jiangdu Water Conservancy Project Management Office of Jiangsu Province, Yangzhou 225200, China；2. Qinnan Water Station of Yandu District Water Affairs Bureau, Yancheng 224021, China）
关键词:
新质生产力; 数字孪生; 智能泵站运维; 案例研究
Keywords:
new quality productive forces;  digital twin;  intelligent pumping station operation and maintenance;  case study
分类号:
TV675
文献标志码:
A
摘要:
为突破传统模式对水利高质量发展的制约，引入“新质生产力”理论，构建包含科技创新、数字孪生、标准体系与人才产业的四维驱动战略框架。采用案例分析法，以江都四站“智能泵站”为典型范例，系统阐释了其通过构建全域智能感知体系、智慧决策系统与数字孪生平台，实现从“治水”向“智水”范式跃迁的实践路径。针对当前“数据烟囱”问题、核心技术自主性不足、体制机制滞后等共性瓶颈，提出未来需从深化系统融合、强化自主创新、革新管理模式三大方向寻求突破。本研究为培育水利新质生产力提供了系统的理论框架与差异化的实践借鉴。
Abstract:
To address the constraints that traditional models impose on the high-quality development of water conservancy, this paper introduces the theory of “New Quality Productive Forces” and constructs a four-dimensional strategic framework driven by technological innovation, digital twins, standard systems, and talent & industry. Employing the case study method, with the Intelligent Pumping Station of Jiangdu Fourth Station as the primary example, it systematically elaborates on its practical pathway to achieve a paradigm shift from “water control” to “water intelligence” by establishing a comprehensive intelligent perception system, a model-driven smart decision-making system, and a digital twin platform. The study reveals that current development confronts bottlenecks such as “data silos”, insufficient autonomy in core technologies, and lagging institutional mechanisms. Accordingly, it proposes that future breakthroughs should focus on deepening system integration, strengthening independent innovation, and reforming management models. This research provides a systematic theoretical framework and differentiated practical references for cultivating new quality productive forces in water conservancy.

参考文献/References:

[1]王浩. 水利新质生产力赋能水利高质量发展的思考[J]. 中国水利，2025（2）：10-14，22.
[2]崔培，张涛，曾斌，等. 数字孪生水利动态时空数据底板构建研究[J]. 中国水利，2025（2）：52-64.
[3]李双平，刘祖强，张斌，等. 基于智能组合模型的大坝变形预测预报研究[J]. 中国水利，2025（2）：65-72.
[4]薛萍萍，韩斐，陈柏. 数字孪生技术在某泵站运行管理中的应用[J]. 水利技术监督，2024（6）：45-48.
[5]钟登华，张天鸿，余红玲，等. 智能时代与大坝工程建设智能化研究进展[J]. 水利学报，2025，56（1）：1-19.

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备注/Memo

备注/Memo:
收稿日期：2025-12-13
作者简介：徐兢（1994—），男，助理工程师，硕士，主要从事水利工程运行管理工作。E-mail：2506890934@qq.com
更新日期/Last Update: 2026-02-01