摘要
当前,大数据在我国发展迅速,在很多行业已得到广泛应用。煤炭行业经过多年的信息化应用,积累了大量的生产和管理数据,但对这些海量数据的深度发掘和利用还远远不够。在当前煤矿经济效益下滑的形势下,安全资金投入不足,开采环境复杂,造成煤矿事故隐患不断增多,安全生产事故时有发生,安全监察监管的难度和防范重特大事故的压力不断加大。文章介绍了如何利用大数据对煤矿基础数据进行深度挖掘,以寻找事故发生的规律,提升煤矿安全的源头治理能力。
Nowadays, big data develops rapidly in China, which has been widely applied in many fields.Coal mine industry has experienced many years of information application and has accumulated plenty of data about production and management, but still far from enough to explore deeply and use this mass of data.Under the situation of coal mine economic benefits declining, investment of safety is not enough, mining environment is complicated, causing the increasing hidden dangers of coal mine safety, work safety accidents happened now and then, safety supervision is more difficult and the pressure of avoiding major accidents is increasing. This article introduced how to use big data to explore deeply the coal mine basic data, to find the regularities in accidents happening, and to enhance the ability of coal mine safety governance from the source.
出处
《无线互联科技》
2016年第11期133-135,共3页
Wireless Internet Technology
关键词
大数据
煤矿
安全管理
big data
coal mine
safety management
作者简介
郑磊（1970-），男,重庆，硕士，高级工程师；研究方向：煤矿安全监察信息系统的建设与管理。
