人民黄河2025，Vol.47Issue(11)：133-138,6.DOI:10.3969/j.issn.1000-1379.2025.11.021
面向智能运维的梯级泵站群知识图谱构建
Construction of Knowledge Graph for Intelligent Operation and Maintenance of Cascade Pump Stations
摘要
Abstract
Operational knowledge of cascade pumping station groups is typically recorded in textual form,characterized by large volumes and severe fragmentation,making data mining applications difficult.To address this issue,a method for intelligently mining pumping station group operational knowledge from unstructured data was proposed.By integrating Bidirectional Encoder Representations from Transformers(BERT),Bidirectional Long Short-Term Memory networks(BiLSTM),Conditional Random Fields(CRF),and Word Vectors,an entity recognition model for the operation and maintenance of cascade pumping station groups was established to identify entity types in the text.The BERT-BiGRU-Attention model was used to extract relationships between entities.By utilizing the Neo4j database,a knowledge graph for the operation and maintenance of cascade pumping station groups was constructed,converting large-scale unstructured data into structured knowl-edge and clarifying the logical relationships between knowledge elements.The model and knowledge graph were practically applied by using the cascade pumping station showes of the Shandong main line in the eastern route of the South-to-North Water Diversion Project as an exam-ple.Application situation showes that the proposed method can accurately identify and extract entities and relationships in the operation and maintenance text of pumping station groups.Based on the knowledge graphs,it realizes the visualization and efficient utilization of knowl-edge,intelligently recommends optimization schemes for the operation of cascade pumping station groups,and provides support for improving the efficiency of pumping station group operation and maintenance.关键词
梯级泵站群/运维/实体识别/关系抽取/知识图谱/智能/南水北调东线山东干线Key words
cascade pumping station group/operation and maintenance/entity recognition/relation extraction/knowledge graph/intelli-gence/Shandong main line in eastern route of South-to-North Water Diversion Project分类
建筑与水利引用本文复制引用
谢津平,李喆,钟千有,付超,刘敏..面向智能运维的梯级泵站群知识图谱构建[J].人民黄河,2025,47(11):133-138,6.基金项目
水利部重大科技项目(SKS-2022133) （SKS-2022133）
天津大学自主创新基金资助项目(2023XJD-0065) （2023XJD-0065）
中国长江三峡集团有限公司企业科研项目(202103551) （202103551）
