Research And Design Remote Monitoring System Of Lakes And Reservoirs Water Quality

In recent years, water pollution is more and more seriously in lakes and reservoirs.How to predict blooms has become a hot issues. Then system of lake and reservoir water quality remote monitoring is based on embedded technology,which combines embedded technology and GPRS wireless transmission technology.It realizes remote monitoring of the water quality of lakes and reservoirs, making full use of the intelligence of embedded systems and real-time features of GPRS network.The system is composed by Multi-probe sensor YSI,ARM module with Windows CE system,GPRS wireless transmission module and PC server. Monitoring terminal is made up of YSI,ARM and GPRS which are linked with Serial cables.PC server is located in monitoring center, used to receive data from the monitoring terminal and store data for inquiring historical data, and finally analyze the data and predict blooms.In the study course of water bloom prediction, combined the advantages of wavelet analysis and artificial neural network to build a bloom forecast model,in order to predict blooms in lakes and reservoirs. The bloom forecast model almost can reflect the changes of chlorophyll in lakes and reservoirs,although the forecast results in trough and crest stage are not satisfactory. After analyzing a amounts of water bloom prediction models, found that the prediction accuracy of single prediction model is very unstable.In this paper,propose a water bloom prediction model based on a combination to resolve this problem.analyzed simulation results, found that the combination forecasting model can describe the water bloom better.The accuracy of the prediction results has been further improved.