摘要
针对以往藻类水华预测系统在数据源方面存在的不足,采用物联网技术,实现基于三层网络传输结构的监测体系,保证了数据的时间连续性;并对遥感水质参数定量反演方法、中程无线传感网络技术和藻类水华预测预警模型方面进行了改进。在此基础上,开发了太湖蓝藻预测预警平台,运行结果表明蓝藻水华未来3天的平均预测精度达到了80%以上。
To overcome the shortcomings of conventional algal bloom forecast system in acquiring data,this study applied the Internet of Things(IoT) technology to establish a data transmission network with three-layer structure,and thus secured data continuity.With improved retrieval approach of water quality parameters,technology of Wireless Sensor Network(WSN) and forecast model of algal bloom,the blue-green algal bloom forecast platform was developed.The evaluation demonstrates that the platform achieves an overall accuracy of 80% in forecasting blue-green blooms in Taihu Lake in next three days.
出处
《计算机应用》
CSCD
北大核心
2011年第10期2841-2843,2860,共4页
journal of Computer Applications
基金
国家重大科技专项(2011ZX07101-010)
中国科学院知识创新工程重大交叉项目(KZCX1-YW-14)
关键词
太湖
蓝藻水华
物联网
预警平台
Taihu Lake
blue-green algae bloom
Internet of Things(IoT)
forecast platform