A knowledge map relational completion method for CNC machine tool equipment maintenance

Abstract

The invention discloses a method for complementing knowledge graph relations for CNC machine tool equipment maintenance. All the complete relationship paths of all the complete relationship paths; construct the knowledge graph completion model; select any query relationship from the candidate relationship text, and input all the complete relationship paths of the query relationship and the corresponding training triples into the knowledge graph completion model, and The query relationship and entity pairs corresponding to the probability score greater than or equal to the set completion threshold form triplets and complete them into the knowledge graph; The solution to new faults integrates data together, effectively eliminates the problem of data islands, completes incomplete knowledge graphs, and fills the gap in graph completion methods in the field of CNC machine tool equipment maintenance.

Description

technical field [0001] The invention relates to the field of maintenance of numerical control machine tool equipment, in particular to a knowledge map relation complementing method for the maintenance of numerical control machine tool equipment. Background technique [0002] CNC machine tool equipment is the material and technical basis of production activities. Ensuring the healthy and continuous operation of equipment and reducing the occurrence of risks and failures is the prerequisite for the normal operation of every manufacturing enterprise. However, with the development of economic globalization, the gap between enterprises Competition is constantly increasing, and equipment is becoming more and more mechanized, automated, and intelligent. At the same time, the complexity of equipment system structure is increasing, and the difficulty of equipment fault detection, diagnosis, prediction, and daily comprehensive maintenance is also increasing. If any part of the equipme...

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Problems solved by technology

[0002] CNC machine tool equipment is the material and technical basis of production activities. Ensuring the healthy and continuous operation of equipment and reducing the occurrence of risks and failures is the prerequisite for the normal operation of every manufacturing enterprise. However, with the development of economic globalization, the gap between enterprises Competition is constantly increasing, and equipment is becoming more and more mechanized, automated and intelligent. At the same time, the complexity of equipment system structure is increasing, and the difficulty of equipment fault detection, diagnosis, prediction and daily comprehensive maintenance is also increasing. If any part of the equipment system fails, it will affect the normal operation of the entire equipment system

[0003] The existing CNC machine tool equipment maintenance technology adopts the general retrieval method, but due to the scattered and complicated data, the effect obtained by the general retrieval method is very unsatisfactory; and there is actually a correlation between each data, such as equipment and various fault maintenance methods, There is a close relationship between the two, and the general retrieval method does not have a certain correlation with these data, resulting in poor correlation between data and data; in addition, the general retrieval method relies on the experience and knowledge of maintenance personnel and maintenance documents, knowledge is very Scattered, when equipment fails, it is difficult to quickly and effectively carry out maintenance work

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