摘要
传统的水质监控系统依靠设置特定测试点进行水质采集,测试点分布局限性大,采集盲区多,对水质监控与分析形成错判漏判;提出多传感器信息融合下的水质监控系统,使用各种水质传感器对水质进行采样,采样数据通过无线传感网络融合到上位机的分析端,通过时序数据序列挖掘分析区域水质的变化趋势,实验证明,系统能够对水质进行全面数据采集,上位机的水质监控与预测端能准确预测水质的变化,具有很强的实用价值。
The traditional water quality monitoring system depend on setting specific test point the water quality in the collection, test point distribution limitation, acquisition blind area of water quality monitoring and analysis form to falsely accused of leakage. Proposed multi -sensor information fusion of water quality monitoring system, the use of various sensors to water quality water sampling, sampling data through the wireless sensor network fusion to epistatic machine analysis end, through the sequential data sequence mining analysis regional water quality change trend, the experiment proved that the system can comprehensively on water quality data acquisition, PC water quality monitoring and forecasting end can accurately predict the change of water quality, this has great practical value.
出处
《计算机测量与控制》
北大核心
2013年第4期968-971,共4页
Computer Measurement &Control
基金
广西重大科技攻关项目(桂科攻12118017-6)
国家自然科学基金项目(51074097)
广西自然科学基金项目(2011GXNSFA018165)
关键词
水质监测
无线网络
时序挖掘
数据预处理
Water quality monitoring
Wireless network
Sequence mining
Data preprocessing
