摘要
为了减少矿山事故,实现安全生产,通过研究事故发生的原因,利用大数据技术开发了矿山安全预警信息系统。采用分布式文件系统HDFS存储数据,利用MapReduce计算框架对数据进行分析和处理。该系统分为3大部分,数据采集、数据处理和预警信息输出。大数据技术为预警系统提供了有效的技术支持,增强了数据处理能力,提高了企业的安全生产能力。
An early warning information system for mine safety ls developed by studying causes of accidents using the big data technology to reduce accidents in mines and realize safety in pro- duction. The data are analyzed and processed by the MapReduce computation framework and stored in the Hadoop distributed file system, which is divided into three parts of data acquisition, data processing, and early warning information output. The use of the big data provides an effective technical support for the early warn- ing information system, strengthening the data orocessing ability and increasing the capability of production safety in the enter- prise.
出处
《化工矿物与加工》
CAS
北大核心
2015年第12期42-44,共3页
Industrial Minerals & Processing
基金
河北省科技计划项目
编号154576129
