Research Of Water Optimal Operation In Irrigation Area Base On Advanced Intellegence Technique

With rapid economy development and population increase, it is more and more important for irrigation area to take coordinative dispatch of surface water and groundwater and real time optimal regulation. How to realize efficient utilization of water resources in irrigation area by management? This is the hotspot and difficulty in water resources field. This paper establishes the multi-purpose model of coordinative dispatch of surface water and groundwater in irrigation area on basis of the research trend in the world, puts forward methods for forecasting irrigation schedule based on uncertain and incomplete theory, and suggests real time optimal model for irrigation regulation with the technique of data mining. The main results of this paper are as follows:(1) Chaos algorithm is introduced to analyze optimal irrigation schedule for crop. Put forward hyperplane real code genetic algorithm with which optimal irrigation schedule for irrigation area is established. These methods improve greatly the accuracy and speed of calculation for non-linear programming. Better irrigation schedule of typical year can be gotten by these models.(2) Establish multi-purpose coordinative dispatch model of surface water and groundwater with simulation technique of groundwater movement and chaos algorithm. This model takes the dynamic variance of groundwater level into account, and is solved by Chebysher's method that is efficient, feasible, objective, and comprehensive. By controlling groundwater level properly, sustainable utilization of groundwater can be realized and environmental problem can be avoided.(3) Suggest judgment model based on procedures of precipitation and water demanding of crop. This model defines again the adequate and inadequate extent of year from the matching degree of two procedures, avoiding the shortcoming of traditional judgment method.(4) Based on cloud theory, model for establishing irrigation schedule of middle and long term is brought forth. It can consider random and fuzzy uncertainty in forecast problem, and get better results by mining uncertain knowledge from historical data.(5) Information diffusion theory is used to take research to establishing irrigation schedule too. Model with information diffusion technique can take advantage of more information under the condition of data shortage and get better results than other classic methods.(6) Bring forth evaportranspiration model of reference crop based on genetic programming. Analyze the forecast problem of precipitation in growth phase with cloud model, considering lengthways precipitation value and transverse precipitation proportion. This model with cloud theory can get better results than traditional forecast methods. Based on the forecast model, real time optimal regulation model of irrigation area is put forward, which realizes the coupling between short-range regulation and long-range regulation.