Survey of Application of Knowledge Graph in Field of Intelligent Manufacturing

doi:10.3969/j.issn.1006-2475.2025.05.007

Abstract

Abstract: With the rapid promotion of new-goneration artifica intelligence， computing， and other technologies， the manufacturing field urgently needs to undergo intelligence and digitalization and upgrading. Through literature review and applied case studies， it is found that the construction of knowledge graph can promote the development of industrial intelligence， so the field of intelligent manufacturing has begun to apply knowledge graph to manage and optimize intelligent manufacturing equipment data and processes. At present， knowledge graph technology has been maturely applied in the direction of intelligent question answering， personalized recommendation， etc.， in order to explore the greater application potential of knowledge graph technology in the field of intelligent manufacturing， the current literature and application status is studied in detail and conduded. This paper firstly starts with the popular technologies such as knowledge acquisition， knowledge fusion， and knowledge reasoning involved in knowledge graphs， and then focuses on the research and analysis of several popular application directions such as industrial fault diagnosis， digital twins， human-computer collaborative interaction， and risk management based on knowledge graphs， and summarizes the general architecture， and discusses the future development trends and difficulties such as the combination with AIGC technology， and puts forward future prospects to provide reference for promoting intelligent manufacturing knowledge graphs.

Key words: , intelligent manufacturing, knowledge graph, artificial intelligence, industrial digitalization, industrial intelligence

CLC Number:

TP399

JIANG Sulun1, 2, 3, YUAN Decheng1, GUO Qingda2, 3, LIU Jian3, YU Guangping2, 3. Survey of Application of Knowledge Graph in Field of Intelligent Manufacturing[J]. Computer and Modernization, 2025, 0(05): 48-59.

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