The Research On Intelligent Decision Support System For Hilly Rainwater Harvest

The theory, method and application of Decision Support System(DSS) have been witnessed booming development since DSS emerged. At present, DSS has widely been applied to the fields of enterprise, military affairs, economic environment, medicine, energy sources, traffic and public security, etc. The application of DSS is an important research task at all times. The development of collecting rain engineering, which is an important part of the agricultural field, plays an important role in the development of agriculture. There are some characters on China's collecting rain of hilly regions .such as low jumping-off point ,weak foundation, lack of management and low efficiency, so building the highly efficient HRH engineering is gradually becoming an important matter of hilly water saving irrigation engineering. In addition, because of the changes of water sources and water demand caused by the changes of the various factors including nature, economy ,society etc, the decision of HRH engineering design becomes more complicate ,and the need cannot be meet by traditional calculation methods for the decision makers while there are few chances of comparison and choice. Therefore, the research of HRHIDSS will be beneficial to resolve the difficult problems of rainwater harvest engineering decision.This study, which analyses the present state of hilly collecting rain and the application of computer for it, points out that building Hilly Rainwater Harvest Intelligent Decision Support System(HRHIDSS),which is based on vast information processed by computer, is a good way to resolve the difficult problems of HRH. The system functions include the interface, establishing system, system statement, data management, model management, knowledge support, decision management, searching information and help etc. Because this study increases knowledge base and reasoning system, the support for decision makers is greatly strengthened by the DSS. So the system construction of four bases and three functions is used. However, the model base has included the method base so that it's construction becomes into three bases and three functions, including data base,model base and knowledge base. The thesis expatiates the design and realization of its each component and emphasizes the design and realization of model base and knowledge. As for model base, because collecting rain activity involves many variables in which there are the complex relationships ,and different decision makers have different decision characters for the problems of HRH, it must build models to support these different characters and complex relationships for HRHIDSS and give decision makers the power of analyzing comparing various methods. It is obvious that the operation of HRHIDSS is supported by the models. This system totally establishes five models ,including the need water quantity of the crop model, the hilly water demand model, the rainwater harvest quantity of the whole year model, the equilibrium of water support and demand analytic model and HRH evaluating model. In addition, because of introducing the artificial intelligent technique .knowledge base must be established in order to store decision and special field experts' experience and knowledge .It will enlarge the common fields of decisions to communicate the thoughts and truly achieve the targets of decision support. HRHIDSS's knowledge comes from the generalization of special field experts for HRH and the rainwater harvest trial data of local or the same region etc. In the HRHIDSS, the knowledge of rainwater harvest is articulated and organized by data knowledge and rule knowledge. The knowledge of HRH is extensive and much of them belongs to constructive and describing knowledge. In the same time, these integrates logic, process, calculation knowledge. So the system uses the knowledge method which is the synthetic knowledge construction of describing frame and the rule base of rule frame and rule body. We adopt the Analytic Hierarchy Process(AHP) and Quantitative Analytic Method to evaluate t...