摘要
运用大数据技术预测未来事故可能发生的状况,对以往事故进行统计,通过大数据技术分析,摸索事故发生的基本规律,找出发生事故的根源,从源头上提升治理能力,消除或减少事故的发生。论文运用回归分析方法,提出并建立了事故预测数学模型,通过对以往事故数据库的数据分析与归纳,预测了未来事故发生的状况。研究结果显示预测值与实际值基本相符,为事故防范提供了重要参考,对事故预测具有一定的实用价值。
Accident is that people don＇t want incidents,accidents associated with social stability and development of the overall situation,the effective use of information technology is important means to improve the ability to prevent accidents,the core of the large data function is predicted. Use big data technology to predict the future is the purpose of the paper the status of the accident may occur,to the accident statistics before,through the technology of data analysis,grope for the basic law of the accident,find out the root cause of the incident,promote management ability,from the source to eliminate or reduce accidents. By using the regression analysis method,this paper predicts the future accident situation by analyzing and summarizing the data of the previous accident database. The results show that the predicted value is basically consistent with the actual value,which provides an important reference for accident prevention. The conclusion of this paper is that using big data technology to predict accidents has certain practical value.
作者
杨月江
田立勤
兰芸
YANG Yuejiang;TIAN Liqin;LAN Yun(College of Computer,North China Institute of Science and Technology,Yanjiao,065201,China)
出处
《华北科技学院学报》
2018年第4期47-51,共5页
Journal of North China Institute of Science and Technology
基金
国家自然科学基金(61163050
61472137)
关键词
安全
大数据
预防
事故预测
Safety
big data
prevention
accident prediction
