Research On The Structure For Knowledge Based System Of Heavy Machinery Design For L Company

The productive enterprises of our country have got a great progress recently.The mechanical manufacturing industry belongs to the pillar industries in industry.However,although today's product design and development method have been greatly improved than a few years ago.But the vast majority of enterprises still adopt the lower level traditional geometric model building software in the design process of the product.Only a bit degree of intelligence could be reflected.It is impossible to integrate design knowledge and experience effectively in the design process.Meanwhile it also fails to achieve sharing and storage information.The direct consequence is that the technology of product is out of date,lacking competitiveness in the world.It is imminent to introduce an advanced and effective method of rapid design in this context.There are different kinds of knowledge and complex structures in the field of mechanical product design and the formation of knowledge is also varied.It's the only way to achieve rapid product design and manufacturing by using a knowledge base system to integrate knowledge storage,management and application into an intelligent application system.This paper firstly analyzes the value of developing the knowledge base system and then analyzes the current situation of the research and application of the knowledge base system and lists the necessary theoretical knowledge for building knowledge base.Then this paper makes an elaboration and analysis on the current situation of design knowledge management of L company.And it explains why it is necessary to introduce a knowledge base system to analyze the knowledge base system that can meet the design and management requirements of the company.The implementation mode of key elements that cover knowledge representation,acquisition,reasoning,storage and sharing constructed by these knowledge bases is introduced in detail.And the realization process and practical effect of the knowledge base system are presented briefly.