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Apriori算法在预测矿井火灾事故中的应用
引用本文:游先中.Apriori算法在预测矿井火灾事故中的应用[J].中州煤炭,2018,0(8):78-81.
作者姓名:游先中
作者单位:(贵州省纳雍县五轮山煤业,贵州 纳雍 553300)
摘    要:矿井火灾一直是制约煤矿安全开采的重大安全因素,为适应现代社会发展信息化的要求,对矿井火灾事故的预测将会成为煤矿安全工作的发展方向。针对目前国内矿井火灾现状,提出了有别于之前的矿井火灾预测预警方法,利用数据挖掘中的Apriori经典关联算法与矿井火灾发生机理相结合,通过数据挖掘,找出各导致矿井火灾的安全因素的潜在关联,分析了发生矿井火灾的可能性,提早防治。

关 键 词:矿井火灾  火灾预测  安全因素  数据挖掘  Apriori

 Application of Apriori algorithm in mine fire accident forecast
You Xianzhong. Application of Apriori algorithm in mine fire accident forecast[J].Zhongzhou Coal,2018,0(8):78-81.
Authors:You Xianzhong
Affiliation:(Wulunshan Coal Industry in Nayong County,Nayong 553300,China)
Abstract:Mine fire of mine safety production is restricted by the major security factors,in order to adapt to the requirements of modern social development information,the forecast of mine fire accident will be the development direction of coal mine safety work.According to the present situation of domestic mine fire,the early warning method different from the former mine fire prediction was proposed,combined with Apriori classical correlation algorithm in data mining and mine fire mechanism,through the data mining,potential link was found out in the cause of mine fire safety factors,the possibility of mine fire was analysed,so as to make prevention in advance.
Keywords:,mine fire, fire prediction, safety factor, data mining, Apriori
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