Intelligent assembly process design method based on morpheme division and artificial neural network

Abstract

The invention discloses an intelligent assembly process design method based on morpheme division and an artificial neural network. The method comprises two parts of assembly process knowledge expression and assembly process knowledge reasoning, and mainly comprises the following steps of: 1) dividing assembly process knowledge morphemes; 2) constructing, storing and expressing an assembly structure tree; 3) constructing an assembly process knowledge base; 4) calculating and comparing assembly structure tree structure similarity; 5) carrying out multi-constraint matching and retrieval on the assembly process knowledge; and 6) matching the intelligent weight adjustment with the auxiliary knowledge of the artificial neural network training model. According to the method, repeated manual laborof technicians can be reduced; the error-tolerant rate in the process design engineering is improved; the time cost in an assembly process design project is saved, the production efficiency is improved, and meanwhile, in order to establish an assembly process knowledge base, in combination with the reasoning ability of people and support an automatic assembly process design method, more comprehensive and effective guidance can be provided for assembly process design, and the assembly process design efficiency and accuracy are improved.

Description

technical field [0001] The invention belongs to the technical field of assembly process knowledge base construction and assembly process design, and in particular relates to an intelligent assembly process design method based on morpheme division and artificial neural network. Background technique [0002] The assembly process planning and design of mechanical products is an important part of the production process of mechanical products. The enterprise has accumulated a wealth of process knowledge and production experience in years of production practice, but most of it is only stored in the minds of relevant process personnel or in paper documents (process cards, drawings, etc.), resulting in the current process in the enterprise. Knowledge organization is unsystematic, lacks organization, low inheritance, low degree of reusability, time-consuming utilization, and prone to human error. This greatly affects the efficiency and quality of assembly process design. Contents ...

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Problems solved by technology

[0003] The purpose of the present invention is to provide an intelligent assembly process design method based on morpheme division and artificial neural network in view of the problems of low efficiency, repetitive labor, low intelligence and low degree of automation in the traditional manual assembly process design of enterprises

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