煤矿安全2019，Vol.50Issue(10)：79-83,5.DOI:10.13347/j.cnki.mkaq.2019.10.018
乌东矿瓦斯涌出异常大数据技术研究与应用
Big Data Research and Application for Abnormal Gas Emission in Wudong Mine
摘要
Abstract
This paper studies the influencing factors of gas emission anomalies and the realization process of early warning technology for gas emission anomaly by theoretical analysis and field measurement. According to the characteristics and laws of gas outburst in Wudong Mine, big data technology is used to study gas monitoring data. The early warning index system for gas outburst suitable for Wudong Mine is studied, and the data model of gas emission anomaly in Wudong Mine is established. The real-time intelligent warning system for gas outburst hazard in working face and heading face is realized. The effectiveness of the platform is verified by the application results in Wudong Mine.关键词
瓦斯涌出异常/预测预报/大数据/瓦斯治理/预警技术Key words
abnormal gas emission/forecasting and early warning/big data/gas control/early warning index分类
矿业与冶金引用本文复制引用
刘琼,刘勇,孙秉成,张庆华,王麒翔,王沉..乌东矿瓦斯涌出异常大数据技术研究与应用[J].煤矿安全,2019,50(10):79-83,5.基金项目
贵州省科技计划资助项目(黔科合平台人才[2017]5788号) （黔科合平台人才[2017]5788号）
贵州省本科高校一流专业建设资助项目(SJZY2017006) （SJZY2017006）
