摘要
本文阐述了企业安全生产预警系统和"大数据"技术的概念,重点研究了如何利用"大数据"技术在数据采集、利用中的特有优势,解决传统方法面临的数据采集困难、数据分散且数量较大、分析结果不准确,以及无法实现预测功能等问题。通过"大数据"技术,可以提高数据采集效率、挖掘数据价值,实现真正的预测预警。同时,本文还提出了企业安全生产预警系统未来研究的四个重点方向。
This paper expounded the concept of enterprise safety precaution system and the ＂ big data＂technology. It mainly researched how to use the unique advantage of ＂big data＂ technology in data collectionand application, to solve the problem of data collection difficultly, scattered and large quantity, the analysisresults is not accurate, and cant achieve the precaution function etc. ＂Big data＂ technology can improve theefficiency of data collection, derive the data value, and achieve the real precaution. At the same time, thispaper also puts forward four key directions for future research of safety precaution system.
出处
《铁路节能环保与安全卫生》
2015年第2期87-89,共3页
Railway Energy Saving & Environmental Protection & Occupational Safety and Health
关键词
大数据
安全管理
安全预警系统
big data
safety management
safety precaution system
