Forecast and Analysis of Water Distribution Channel Flow in Irrigation Area Based on Big Data Analysis
In order to improve the prediction effect of water distribution channel flow in irrigation areas and effectively guide the management of water resources in irrigation areas,the prediction and analysis method of water distribution channel flow in irrigation areas based on Big data analysis was studied.Taking the Manas County irrigation area of Mahe irrigation area as the research project,water level meters are installed at the upstream and downstream of the distribution channels in the irrigation area to collect water level information of the distribution channels.After collecting water level information through RTU terminals,the water level information is transmitted to the upper computer flow prediction terminal through GPRS wireless communication.The flow prediction terminal uses Big data analysis technology to build a flow prediction model based on Particle swarm optimization support vector machine(PSO-SVM),and takes water level information as the model input,Output the predicted flow rate of the distribution channel in the irrigation area.The analysis and research results show that this method can effectively predict the flow rate of water distribution channels in irrigation areas,and the relative error between the predicted flow rate and the actual flow rate is small.This method has practical applicability in predicting the flow of water distribution channels in irrigation areas,and can provide a data basis for water resource planning in irrigation areas.
Big data analysisWater distribution channels in irrigation areasTraffic predictionWireless communicationRTU terminalSupport Vector Machine