Online equipment fault diagnosis platform of mobile terminal based on knowledge graph

Abstract

The invention discloses an online equipment fault diagnosis platform of a mobile terminal based on a knowledge graph. The method comprises the following steps: S1, establishing a numerical control machine tool information extraction module; S2, establishing a data cleaning and knowledge graph module; S3, establishing a question and answer extension module; and S4, establishing a background management module. Answers finally adopted by a user can be taken as new nodes to be brought into the relationship of the knowledge graph, and new records are added to a machine tool fault word segmentationdictionary and a problem template, so that a system is more intelligent in use, and the use experience of the user is improved.

Description

technical field

[0001] The invention relates to a mobile terminal online device fault diagnosis platform based on a knowledge graph, belonging to the field of computer technology. Background technique

[0002] With the deepening of industrial production automation, digitization, and intelligence, enterprises have higher and higher requirements for equipment reliability. Therefore, the research on the diagnosis and elimination of equipment faults has great practical significance. The Internet contains a large amount of valuable information, is an important data source for big data, and is also an important territory for experience exchange and retention. By collecting a large amount of scattered Internet data, obtaining related equipment faults and maintenance solutions on the Internet, and forming a knowledge map, the accuracy and application range of fault judgment can be improved.

[0003] At present, the data sources for equipment fault diagnosis in the industry have th...

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