Construction and analysis of manufacturing data based on knowledge graph

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.