基于物联网技术的太湖蓝藻水华预警平台

Blue-green algae bloom forecast platform with Internet of things

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.