摘要
在对水利水电工程施工事故的危险源进行辨识时,传统的辨识方法主观性过强,效率与准确度不高。采用基于数据挖掘的危险源辨识技术对历史施工事故数据进行挖掘,通过研究施工事故、危险源以及能量体的关联属性构建合理的关联规则,提高了危险源辨识的效率和准确度。实际应用结果表明,该方法切实可行,能够较为准确、高效地辨识各类危险源。
Traditional hazard identification methods in construction accident prevention of water conservancy and hydropower projects often have too much subjectivity and low efficiency, so a new hazard identification technology based on data mining is studied herein for improving the efficiency and accuracy of construction hazard identification. This new method can establish reasonable accident association rules by studying the associated attributes of accidents, hazards and energy based on history construction accident data. The actual application shows that this method is feasible and can identify hazard resources accurately and efficiently.
出处
《水力发电》
北大核心
2013年第10期44-46,64,共4页
Water Power
基金
国家自然科学基金重点项目(51139001
51079086)
关键词
施工事故
数据挖掘
危险源辨识
关联规则
construction accident
data mining
hazard identification
association rule
