计算机工程与应用2024，Vol.60Issue(14)：348-356,9.DOI:10.3778/j.issn.1002-8331.2304-0394
面向矿井提升机的故障知识图谱构建与应用
Construction and Application of Fault Knowledge Graph for Mine Hoist
摘要
Abstract
In view of the problem that the public data in the field of mine hoist fault is less and the fault knowledge is dif-ficult to be effectively utilized,this paper proposes a method for constructing a mine hoist fault knowledge graph.This method firstly introduces a fault text classification process to deal with the information redundancy problem existing in the target corpus.Then it uses dictionary embedding BERT and BiLSTM-CRF combination for entity recognition,uses ERNIE for entity relation extraction,and stores the extracted triples in Neo4j graph database.On this basis,an intelligent question answering system based on mine hoist fault knowledge graph is realized.This knowledge graph can reveal the complex correlation between mine hoist faults,realize the root cause analysis of related faults,and provide support for mine hoist fault diagnosis.关键词
矿井提升机/故障知识图谱/文本分类/实体识别/关系抽取Key words
mine hoist/fault knowledge graph/text classification/entity recognition/relation extraction分类
信息技术与安全科学引用本文复制引用
董晓辉,郭庭甫,朱海江,党小超,李芬芳..面向矿井提升机的故障知识图谱构建与应用[J].计算机工程与应用,2024,60(14):348-356,9.基金项目
国家自然科学基金(62162056) （62162056）
甘肃省高等学校产业支撑计划项目(2021CYZC-06). （2021CYZC-06）
