Research On Knowledge Base System Of Intelligent Design Of Sugarcane Harvester

This paper studies the idea of construct knowledge base system in practical way, which include the knowledge representation, knowledge acquirement, knowledge base management and knowledge evaluation on significant part. It can improve the effect of reasoning system, giving knowledge support to intelligent design of sugarcane harvester, achieving the goal of getting rid of knowledge redundancy and conflict, realizing the half auto acquirement, reducing the period of design, improving the quality of production.The following aspects and researches are discussed in this thesis: it constructs the general structure of knowledge base system; After widely gathering and structuring the design knowledge of sugarcane harvester, knowledge base, knowledge base management and knowledge evaluation was build. Basing on its knowledge characteristics, it put forward the commingling modal of the knowledge representation which compose production rule, framework and object-oriented, and it build knowledge base by composing the database, which is proper in design the complex mechanical product. It studies the neural networks and fuzzy-general-evaluation theory and application inimportant sugarcane harvester part's parameter evaluation, using the special evaluation according to the evaluation factor, and construct the neural networks evaluation system for precise evaluation factor and fuzzy-general-evaluation system for important part material selection. It build knowledge base management according to the characteristics of knowledge base, realizing the half auto acquirement and maintenance of knowledge, check knowledge for it's consistent and integrity, in the meanwhile it can be managed in different way by present different power in different role.