基于Neo4j的矿井事故预警的知识图谱构建与应用  

Construction and Application of Knowledge Graph Based on Neo4j for Mine Accident Warning

作　　者：刘兴丽 董倩 王海玲 LIU Xingli;DONG Qian;WANG Hailing(School of Computer and Information Engineering,Heilongjiang University of Science and Technology,Harbin 150022,China;Safety Production Command Center of Heilongjiang Longmei Shuangyashan Mining Co.,Ltd.,Shuangyashan 155100,China)

机构地区：[1]黑龙江科技大学计算机与信息工程学院,哈尔滨150022 [2]黑龙江龙煤双鸭山矿业有限责任公司安全生产指挥中心,黑龙江双鸭山155100

出　　处：《煤炭技术》2025年第4期165-168,共4页Coal Technology

基　　金：黑龙江省省属高等学校基本科研业务费项目(2022-KYYWF-0569)。

摘　　要：为了提升矿山安全管理水平,预防和减少矿井事故的发生,设计核心是将矿井里监测的各种数据结合到Neo4j知识图谱中,此知识图谱是一个集成了多种传感器型和网络通信技术Wi-Fi的综合性系统,通过该图谱的页面显示,实现对矿井内部环境的实时监测、事故隐患的快速识别。系统解决了对矿井里异常数据预警的问题,实现了对矿井事故的提前预判,保证矿井及各个煤矿井下作业人员的安全,为矿山安全的实时监测提供有力保障。In order to improve the level of mine safety management,prevent and reduce the occurrence of mine accidents,the core of this design is to combine the various monitoring data in the mine with the Neo4j knowledge graph.This knowledge graph is a comprehensive system that integrates various sensor types and wireless communication technology Wi-Fi.Through the display of this graph,realtime monitoring of the internal environment of the mine and rapid identification of safety hazards can be achieved.This system solves the problem of early warning of abnormal data in the mine and realizes early prediction of mine accidents.It ensures the safety of the mine and underground mining personnel and provides strong support for real-time monitoring of mine safety.

关 键 词：Neo4j 知识图谱 WI-FI 矿井事故预警 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TD76[自动化与计算机技术—计算机科学与技术]