煤矿安全态势分析预测预警系统的研究  

Research on Prediction and Early Warning System of Coal Mine Safety Situation Analysis

作　　者：刘波[1] Liu Bo(Xinglongzhuang Coal Mine of Yanzhou Coal Industry Co.,Ltd.,Shandong Yanzhou 272102)

机构地区：[1]兖州煤业股份有限公司兴隆庄煤矿,山东兖州272102

出　　处：《山东煤炭科技》2021年第9期193-195,共3页Shandong Coal Science and Technology

摘　　要：基于物联网煤矿安全大数据和“云交互数据管道”建立了兴隆庄煤矿安全态势分析预测预警系统,并投入实践应用。该应用实现了煤矿安全的及时准确预警,预警准确率达到了95%以上,对于减少煤矿安全事故的发生具有积极的理论和实践意义。Based on the Internet of things coal mine safety big data and"cloud interactive data pipeline",a Xinglongzhuang Coal Mine safety situation analysis,prediction and early warning system is established and put into practical application.The application realizes the timely and accurate early warning of coal mine safety,and the early warning accuracy rate reaches more than 95%,which has positive theoretical and practical significance for reducing the occurrence of coal mine safety accidents.

关 键 词：安全态势 预测预警 安全 

分 类 号：TD76[矿业工程—矿井通风与安全]