煤矿地质灾害知识图谱构建与可视化  

Construction and Visualization of Knowledge Graph of Coal Mine Geological Disasters

作　　者：张盼青 杨政 何亮 马健 许睿 ZHANG Panqing;YANG Zheng;HE Liang;MA Jian;XU Rui(Ningxia Hui Autonomous Region Bureau of Coal Geology,Yinchuan 750001,China)

机构地区：[1]宁夏回族自治区煤炭地质局,银川750001

出　　处：《煤炭技术》2025年第4期186-189,共4页Coal Technology

基　　金：2023年宁夏一般公共预算财政拨款项目(640000233000000010963);宁夏自然科学基金项目(2023AAC03776)。

摘　　要：传统的煤矿地质灾害的预防及抢险救援决策主要依赖于人工经验,智能化水平相对较低。以煤矿地质灾害为研究对象,针对常见的顶板事故、瓦斯爆炸、煤尘爆炸、水害、火灾等煤矿地质灾害数据,利用自然语言处理工具LTP,对数据进行预处理和知识抽取,通过知识图谱技术,将煤矿地质灾害核心概念数据进行有效整合和可视化,将错综复杂的煤矿地质灾害知识构建成语义网络,使用开源图数据库系统Neo4j存储知识图谱数据,实现煤矿地质灾害数据的可视化管理和知识查询。研究成果可为煤矿抢险救援提供辅助决策服务,对煤矿地质灾害的安全教育与预防具有重要意义。Traditional coal mine geological disaster prevention and emergency rescue decision mainly depends on the artificial experience,intelligent level is relatively low.Taking the field of coal mine geological disasters as the research object,natural language processing tool LTP is utilized to preprocess and extract knowledge of common coal mine geological disaster data such as roof accident,gas explosion,coal dust explosion,water disaster and fire,and the core concept data of coal mine geological disasters is effectively integrated and visualized through knowledge graph technology.The complex coal mine geological disaster knowledge is constructed into semantic network,and the open source graph database system Neo4j is used to store the knowledge graph data and realize the visual management and knowledge query of coal mine geological disaster data.The research results can provide auxiliary decision-making service for coal mine rescue,and it’s of great significance to the safety education and prevention of coal mine geological disasters.

关 键 词：煤矿地质灾害 知识图谱 语义网络 煤矿安全 

分 类 号：TD76[矿业工程—矿井通风与安全] TP391.41[自动化与计算机技术—计算机应用技术]