Electronic product quality automatic detection method based on knowledge graph

Abstract

The invention relates to an electronic product quality automatic detection method based on a knowledge graph, and belongs to the field of electronic product quality detection and knowledge graphs. Themethod comprises the steps of constructing a domain knowledge graph and realizing a quality detection method; constructing a product domain knowledge graph through related standard literature and technical specification of the electronic product. The electronic product quality detection process is detected from four aspects. The process comprises the steps of adopting an ontology modeling methodto manage a mode layer of the knowledge graph; constructing a data layer on the basis of the mode layer; extracting entities and entity relationships from a plurality of heterogeneous data sources byadopting a Bi-LSTM + Attention + CRF method. The data fusion generally adopts a similarity calculation method. A data layer stores knowledge in a Neo4j graph database by taking facts as units. The product quality detection is carried out by utilizing a product standard domain knowledge graph, and a front-end module is added and is used for directly querying quality detection data.

Description

technical field [0001] The invention belongs to the fields of electronic product quality detection and knowledge map, and relates to an electronic product quality automatic detection method based on knowledge map. Background technique [0002] Electronic products have now become an indispensable part of people's lives. The quality of electronic products is the primary requirement for people to choose. Most of the quality inspections of electronic products use manual inspection methods. Self-inspection, mutual inspection and initial inspection are carried out in product production. Manual inspection will prolong the development cycle, reduce the efficiency of development, and cause many disadvantages. In addition, a large amount of data will be generated during the detection process, but each detection system is independent of each other, which will cause a large amount of data redundancy and inconsistent data structure, and cannot establish the relationship between data know...

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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide an automatic quality detection method for electronic products based on knowledge graphs to solve the problem of excessive manual participation in the quality detection process, low detection efficiency, high technical requirements for detection personnel, and problems between each detection unit. The problem of little data correlation between

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