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基于时空动态知识图谱的明渠实时调度模式智能识别研究

甘甜 王超 蒋云钟 韩昆

水利学报2025,Vol.56Issue(5):646-658,13.
水利学报2025,Vol.56Issue(5):646-658,13.DOI:10.13243/j.cnki.slxb.20240597

基于时空动态知识图谱的明渠实时调度模式智能识别研究

Intelligent identification of real-time regulation pattern in open channels based on spatiotemporal dynamic knowledge graph

甘甜 1王超 2蒋云钟 2韩昆3

作者信息

  • 1. 中国水利水电科学研究院,北京 100038||长江科学院水力学研究所,湖北武汉 430010
  • 2. 中国水利水电科学研究院,北京 100038||水利部数字孪生流域重点实验室,北京 100038
  • 3. 中国水利水电科学研究院,北京 100038
  • 折叠

摘要

Abstract

Based on the hydraulic characteristics of open channels and the actual demand of engineering projects,real-time pattern recognition for intelligent regulation can provide decision-making support for engineering manage-ment,thus enhancing the intelligent level of water transfer projects.This study,aiming at the problem of low effi-ciency in regulation pattern recognition due to the numerous related elements,complex relationships,and strong time-varying nature of real-time open channel regulation,constructs a knowledge graph that describes the spatiotem-poral dynamic changes of the hydraulic characteristics of open channels,using the Wangnou-Ruwugou river section of the Jiaodong Water Transfer Project as an example.Firstly,HEC-RAS software was utilized for historical scenario simulation analysis to obtain prior knowledge,such as optimal initial gate opening values and gate opening adjust-ment trends under different regulation patterns that meet their respective regulation objectives.Then,based on the Density-Based Spatial Clustering of Applications with Noise-Random Forest(DBSCAN-RF)classification algo-rithm,historical scenario classification analysis was conducted to obtain a labeled classification sample set.Finally,the Neo4j graph database was used to structurally store historical scenario characteristics and simulation and classifi-cation knowledge,forming a spatiotemporal dynamic atlas,ultimately achieving intelligent recognition of real-time scheduling patterns for open channels.

关键词

知识图谱/时空动态/明渠实时调度/调度模式识别

Key words

knowledge graph/spatiotemporal dynamics/real time regulation of open channels/regulation pattern recognition

分类

信息技术与安全科学

引用本文复制引用

甘甜,王超,蒋云钟,韩昆..基于时空动态知识图谱的明渠实时调度模式智能识别研究[J].水利学报,2025,56(5):646-658,13.

基金项目

国家自然科学基金项目(52394234) (52394234)

国家重点研发计划课题(2022YFC3204603) (2022YFC3204603)

水利部重大科技项目(SKS-2022117,SKR-2022057) (SKS-2022117,SKR-2022057)

水利学报

OA北大核心

0559-9350

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