摘要
将大数据技术与煤与瓦斯突出、矿井水害、矿井火灾、矿井顶板灾害预防机理相结合,建立了基于大数据的矿井灾害预警模型;提出了各项灾害的预警模型,探讨了数据挖掘Apriori关联算法在灾害预警中的实现方法,并阐述了利用大数据进行灾害预警的步骤。
Combining big data technology with prevention mechanism of coal and gas outburst, mine fire, mine water disaster and roof disaster, we establish mine disaster warning model based on big data, and propose the disaster early warning model, and discuss the data mining Apriori correlation algorithm in the implementation of disaster warning, and expound the use of big data for disaster warning steps.
作者
徐磊
李希建
XU Lei1,2,3, LI Xijian1,2,3(1.Mining College of Guizhou University, Guiyang 550025, China;2.Engineering Center for Safe Mining Technology Under Complex Geologic Condition, Guiyang 550025, China;3. Gas Hazard Prez, ention and Coalbed Methane Development Research Institute, Guizhou University, Guiyang 550025, Chin)
出处
《煤矿安全》
CAS
北大核心
2018年第3期98-101,共4页
Safety in Coal Mines
基金
贵州省重大应用基础研究资助项目(黔科合JZ字[2014]2005)
贵州省教育厅资助项目(黔教合KY字(2013)112)
