Machining error knowledge base system

Abstract

The invention relates to a machining error knowledge base system. The machining error knowledge base system comprises a human-computer interaction interface; the human-computer interaction interface comprises a machining error knowledge construction interface and a machining error knowledge acquisition interface; an expert from a machining error field and knowledge from a machining error knowledge source are converted into a production rule by using a machining error knowledge acquisition mechanism; the production rule is stored into a machining error knowledge base through a knowledge base management system; a user submits a machining error fact to a synthesis database through a machining error knowledge acquisition interface of the human-computer interaction interface; an inference machine is used for carrying out matching processing on the machining error fact submitted by the user in the synthesis database and an antecedent of the production rule in the machining error knowledge base, and then a consequent of a found matched rule is considered as an inference conclusion which is then stored to the synthesis database; the user acquires the inference conclusion through the machining error knowledge acquisition interface. The machining error knowledge base system has the advantages of favorable reliability, expandability, intelligence and the like.

Description

technical field [0001] The invention relates to the technical field of knowledge bases, in particular to a machining error knowledge base system. Background technique [0002] There are many types of machining errors in the process of mechanical manufacturing, and the problems involved are characterized by complexity, diversity and ambiguity. Operators or process technicians often analyze processing errors based on practical experience or with the help of process manuals and other materials. The lack of a comprehensive, systematic analysis method that can quickly give answers to questions may easily cause incomplete or inaccurate analysis results, which is not conducive to Take the right process improvement actions. [0003] At the same time, the knowledge related to machining errors acquired in practice has the characteristics of uncertainty, unstructured, and unsystematic. With the development of computer science and technology, information processing technology has ente...

AI Technical Summary

Problems solved by technology

Operators or process technicians often analyze processing errors based on practical experience or with the help of process manuals and other materials. The lack of a comprehensive, systematic analysis method that can quickly give answers to questions may easily cause incomplete or inaccurate analysis results, which is not conducive to Take the right process improvement measures

[0003] At the same time, the knowledge related to machining errors acquired in practice has the characteristics of uncertainty, unstructured, and unsystematic.

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