Dam & Safety ›› 2023, Vol. 0 ›› Issue (5): 43-47.

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Association analysis of dam safety monitoring data based on data mining

HU Chao, LI Cheng, ZHENG Huakang, LI Bo and MA Kun   

  1. Changjiang River Scientific Research Institute
  • Online:2023-10-20 Published:2024-01-24

基于数据挖掘的大坝安全监测数据关联分析

胡 超1,2 ,李 程3 ,郑华康4 ,李 波1,2 ,马 琨1,2
  

  1. 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
  • 作者简介:胡 超(1987—),女,湖南娄底人,高级工程师,主要从事大坝安全监测与高坝结构数值仿真工作。
  • 基金资助:
    国家重点研发计划项目(2022YFC3005503)

Abstract:

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 measurement 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.

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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。

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