基于海恩法则的大数据分析在火灾预防领域的应用

On the Application of Big-data Analysis to Fire Fighting Prediction Based on Hine Law

基于海恩法则,应用关联规则数据挖掘理论,构建了一个在大数据基础上,轻微事故、事前征兆、事故隐患、火灾发生4个因子之间相互关系的分析与计算模式。计算结果形成分析表格,当以上4个因子中有1个被发现时,安全人员即可以按照关联度大小迅速查找与之相关的其他因素并加以整改,提高安全检查效率,增强火灾预防的针对性。

In this paper, a computing and analyzing model of a small fire, foreboding signs, fire causes and fire oc-currences is formulated based on Hine Law and Mining Association Rules. An analysis table is formed in which an association degree between these elements can be known and the improvement can be done accordingly to enhance fire safety.