The Sugar Cane Harvest Intelligent Design System Knowledge Base Instance Of The Database System Of Key Technologies

This thesis constructs knowledge base system and case base system throughing analyszing the designed aim and function of intelligent design system of sugarcane harvester, taking into account characteristics of designed field in sugarcane harvester. Study the key technic of constructed system.This thesis presents general structure of manage system of knowledge base and case base and functional model studied in this thesis by according to the function which would be practiced of knowledge base system and case base system: knowledge base, case base, evaluated system, knowledge acquirement system, reasoning mechanism, the models of knowledge base and case base management system.The studys of knowledge base and case base mostly aim at knowledge representative and storage structure. This thesis puts forward the commingling model of the knowledge representation and commingling model of the case levels representation which both face object, in order to respectively express the knowledge and case of the design filed according their characteristics, its storage structure is in the form of classified levels structure; The studys of evaluated system mostly aim at improvement and development of the old evaluate methods and old models, so that they can work better in the broader design filed; And we can find the best way to solve problems if we combine it to reasoning system. The evaluated technic is fuzzy-general-evaluation theory and neural networks in system. The studys of knowledge acquirement system mostly aim at the process, ways and methods of knowledge acquirement. This thesis discusses the development and practices of the semi-automatic requirement system based on effort in the past. The studys of the reasoning mechanism includes two aspects primary: Rule-based Reasoning(RBR) and Case-based Reasoning(RBC).We use a similar match principle because case knowledge can't be reprecented by simple rules, we put forward a Multi-level synthesis retrieval match model which fix the cases in design filed, we adopt a kind of neural network and productive rules which improved and so on; The studys of management of the knowledge base system and case base system aim at browse, search, add, amend and maintenance. This thesis puts forward methods to deal with redundancy cases by using similar principle, analyze technic dispose junk cases and hot cases by using the tendency of digging up ordinal data. Moreover, system can be managed in different way by allot role popedom according to different user.