基于数据挖掘的大坝安全监测数据关联分析

大坝与安全 ›› 2023 ›› Issue (5): 43-47.

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.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

出版日期:2023-10-20 发布日期:2024-01-24
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）

Association analysis of dam safety monitoring data based on data mining

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

Changjiang River Scientific Research Institute

Online:2023-10-20 Published:2024-01-24

摘要/Abstract

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。

关键词:

大坝安全监测, 关联规则, 数据挖掘, Apriori算法

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.

Key words:

dam safety monitoring, association rule, data mining, Apriori algorithm

中图分类号:

TV698.1

胡超, 李程, 郑华康, 李波, 马琨.

基于数据挖掘的大坝安全监测数据关联分析

[J]. 大坝与安全, 2023, 0(5): 43-47.

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

Association analysis of dam safety monitoring data based on data mining

[J]. Dam & Safety, 2023, 0(5): 43-47.

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