Research And Development Of Intelligent And Rapid Design System Of Overhead Crane

At present, the design of the bridge crane domestic is still mainly adopted artificialdesign and calculations, assisted by non-parametric modeling with CAD software, the level ofstudy on bridge crane design automation mostly remained in parametric design of the parts.This article is based on the theory of intelligent design, build an Intelligent and Rapid DesignSystem of Overhead Crane included from concept design to part design.On the basis of Consulted a large number of related materials, summarizes the commonproblems and its development trends in the process of crane design, detailed analysis of thebridge crane design process, and identified the goal of this thesis. Design functioncomposition and module settings of the system according to the needs intelligent design of thebridge crane and human-computer design theory, determine the knowledge base andreasoning mechanism as the key technologies of system, build the framework of system.This paper studied the formation mode of the knowledge base of the bridge craneintelligent and rapid design system. classified related knowledge in the process of overheadcrane design, study and describes key technologies of knowledge base, include therepresentation of design knowledge, the correlation analysis of knowledge and the wayacquiring knowledge, in which the system of knowledge representation methods adopted toproduce style rules and framework for hybrid representation, knowledge acquisition, manualacquisition and automatic access to a mixed mechanism. Build the knowledge base of thesystem according to the process of overhead crane design.Studied the reasoning mechanism of intelligent and rapid design system of overheadcrane, given the dispose approach of large number of fuzzy numerical involved in the processof reasoning. The system uses a hybrid reasoning, case-based reasoning and reasoning aboutknowledge, supplemented by a parameter-driven design approach, to improve the designefficiency. Detailed description of the reasoning process, completed the design of inferenceengine. The dispose approach of fuzzy value include interval function approach used for thesort of interval values, the nearest neighbor method used for the sort of one-way value andcredibility ranking for the sort of uncertainty experience values.The system selected the VC++2005to develop interactive interface and relatedprocedures, and selected UGNX7.0as graphics support platform, Microsoft OfficeAccess2003completed a database design, selected SQL language to develop a datamanagement module, the operation of the database table. Use object-oriented programmingmethod and system integration ideas, development the bridge crane intelligent rapid design system. Finally, take20/5T double girder overhead crane design for example to verify theeffectiveness of the system.