基于数据挖掘技术的溪洛渡大坝施工期温度监测数据分析  

Analysis of Temperature Monitoring Data of Xiluodu Dam during Construction Based on Data Mining

作　　者：苏振华[1] 周宜红[1] 赵春菊[1] 周华维[2] 彭云枫[1] 

机构地区：[1]三峡大学水利与环境学院,湖北宜昌443002 [2]武汉大学水利水电学院,湖北武汉430072

出　　处：《水电能源科学》2016年第3期70-73,共4页Water Resources and Power

基　　金：国家自然科学基金项目(51479103)

摘　　要：针对溪洛渡大坝施工期大量的温度监测数据难以集成和访问的问题,基于数据仓库相关理论和设计方法,构建了溪洛渡大坝温度监测数据仓库,在已建成数据仓库的基础上,以冷却水温与最高温度两个指标量之间的关联关系为目标,采用关联分析方法对温度数据进行深度挖掘。结果表明,在溪洛渡大坝施工过程中要严格控制冷却通水温度不超过15℃,以防止最高温度超过上限影响大坝安全。In consideration of the limitations that amount of temperature monitoring data was difficult to integrate and access in the construction of Xiluodu Dam,temperature monitoring data warehouse was constructed based on the related theory and design method of the data warehouse.With the incidence relation for the goal between two indicators of cooling water temperature and maximum temperature,temperature data was mined deeply by adopting the method of correlation analysis based on the constructed data warehouse.The result shows that cooling water temperature should be strictly controlled no more than 15 ℃to prevent the highest temperature exceed the upper limit which will affect the safety of the dam.

关 键 词：数据仓库 数据挖掘 关联分析方法 温度监测 溪洛渡大坝 

分 类 号：TV512[水利工程—水利水电工程]