基于数据挖掘的大坝安全监测数据关联分析  

Association analysis of dam safety monitoring data based on data mining

作　　者：胡超[1,2] 李程 郑华康 李波 马琨[1,2] HU Chao;LI Cheng;ZHENG Huakang;LI Bo;MA Kun(Changjiang River Scientific Research Institute)

机构地区：[1]长江水利委员会长江科学院,湖北武汉430014 [2]水利部水工程安全与病害防治工程技术研究中心,湖北武汉430014 [3]芜湖市水利工程建设管理处,安徽芜湖241000 [4]长江勘测规划设计研究有限责任公司,湖北武汉430010

出　　处：《大坝与安全》2023年第5期43-47,共5页Dam & Safety

基　　金：国家重点研发计划项目(2022YFC3005503)。

摘　　要：监测数据之间的关系复杂,且大多是隐藏的。将关联规则扩展到大坝安全监测领域,介绍了关联规则挖掘算法和关联规则有效性测度指标,并采用关联规则算法进行了单支仪器与环境量监测数据、多仪器与多环境量监测数据的关联分析。算例结果表明,关联规则分析结果简单易懂,且有助于发现潜在的对大坝安全监控有价值的信息。The association between monitoring data is complex and often implicit.This paper extends the association rule to dam safety monitoring,introduces the association rule mining algorithm and mea-surement indicators of the effectiveness of association rules,and uses the association rule algorithm to analyze the association between single instrument data and environmental data,as well as between multi-instrument data and multi-environmental data.The results show that the association rule analysis is simple and easy to understand,and can help to discover potential and valuable information for dam safety monitoring.

关 键 词：大坝安全监测 关联规则 数据挖掘 APRIORI算法 

分 类 号：TV698.1[水利工程—水利水电工程]