摘要
随着大表远传及SCADA系统的普及,水司积累了海量的供水生产数据,为数据挖掘利用创造了条件。采用相关、聚类、预测等数据挖掘技术,对小区日供水量数据进行分析,得到多个潜在用水规律。应用实例表明上述用水规律有助于水司开展科学管理。
With the popularization of intelligent water-meter and SCADA system,water company has accumulated a large amount of water supply data,which creates conditions for data mining and utilization.Data mining techniques such as correlation,clustering and prediction are used to analyze the daily water supply data of the residential quarter,and multiple potential water use rules are obtained.The application examples show that the above-mentioned water use rules are helpful for water company to carry out scientific management.
作者
刘超
郑杰
郑栋
王岚
叶圣炯
何必仕
LIU Chao;ZHENG Jie;ZHENG Dong;WANG Lan;YE Shengjiong;HE Bishi(Hangzhou Water Group Co.,Ltd.,Hangzhou 310009,China;Hangzhou Dianzi University,Hangzhou 310018,China)
出处
《给水排水》
CSCD
北大核心
2021年第S01期347-350,共4页
Water & Wastewater Engineering
基金
国家自然科学基金项目(U1509205)
关键词
供水量
数据挖掘
相关
聚类
预测
Water supply
Data mining
Correlation
Clustering
Prediction