Construction and analysis of manufacturing data based on knowledge graph

Quanzhou Li; Yanchao Yang; Quan Qiu; Hai Xu; Ning Hu

doi:10.1117/12.3049418

27 September 2024 Construction and analysis of manufacturing data based on knowledge graph

Quanzhou Li, Yanchao Yang, Quan Qiu, Hai Xu, Ning Hu

Proceedings Volume 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024); 132841G (2024) https://doi.org/10.1117/12.3049418
Event: Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 2024, Hangzhou, China

Abstract

Manufacturing companies nowadays are dealing with a huge amount of data in manufacturing process. However, they are facing the problem that these data collected from equipment and production management system often have unclear hierarchies and inconsistent representations. To improve the convenience of data processing, the paper proposed a method using knowledge graph to express hierarchical and internal relationships of manufacturing data. Also with trend and correlation analysis being conducted, potential patterns of these data were found and organized into knowledge. Finally, the summarized knowledge were added to the basic knowledge graph to accumulate knowledge in manufacturing process.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Quanzhou Li, Yanchao Yang, Quan Qiu, Hai Xu, and Ning Hu "Construction and analysis of manufacturing data based on knowledge graph", Proc. SPIE 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 132841G (27 September 2024); https://doi.org/10.1117/12.3049418

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