摘要
针对山洪形成原因的复杂性和不确定性,本文通过BP神经网络对历史数据进行整理,提出了基于多传感器信息融合的数据汇聚平台的设计。此平台可以实现实时汇聚小流域水位、降雨量等监测数据,对汇聚数据进行数据解析、信息融合,通过GPRS将采集的数据发送到远程后台数据中心。本文在硬件上设计完成了基于S3C2440的数据汇聚平台;在软件上完成了节点的控制、山洪监测数据显示、预警临界值设定及山洪预警功能的设计。通过实验表明,山洪监测系统利用此设计平台进行安全评价是有效的、可靠的。
Aiming at the complexity and uncertainty of the reasons formed for flash flood, a data aggregation platform based onmulti-sensor information fusion is designed to carry out safety evaluation in this paper by applying BP neural network. This platform can collect the basin real-time water level, rainfall and other monitoring data, analysises and aggregatesthese data. It sends the data to the remote back-end data center through GPRS. The design of this data aggregationplatform hardware is based on S3C2440. The design of this data aggregation platform software completes node control,flash flood monitoring data management, warning of critical value set and flash flood warn. Experiments show that theflash flood monitoring using this data aggregation platform is effective and reliable.
出处
《自动化技术与应用》
2013年第6期37-41,共5页
Techniques of Automation and Applications
基金
国家科技型中小企业技术创新基金项目"无线传感器网络的山洪监测系统"(编号09C262131335)
关键词
山洪监测
无线传感器网络
多传感器信息融合
BP神经网络
数据汇聚台
basin flash flood monitoring
wireless sensor networks
multi-sensor information fusion
BP neural network
dataaggregation platform