Optimizing parallel assembly lines using knowledge graphs

A computer implemented method for monitoring parallel assembly lines, the method comprising:

• extracting a plurality of data and relations from an automation project related to each assembly line;
• converting the extracted plurality of data and relations into a knowledge graph for each assembly line;
• extracting real-time data from a monitoring system related to each assembly line and applying transformation rules to convert the extracted data into a format wherein the extracted data is directly usable, wherein the monitoring system is configured to monitor a plurality of devices present in the assembly line and provide a real-time data, including health and diagnostic information, periodically about the plurality of devices;
• integrating the extracted data from the monitoring system into the respective knowledge graph;
• and
• comparing the knowledge graph of an assembly line with the knowledge graph of parallel assembly lines using a machine learning algorithm and providing an output for optimizing the parallel assembly lines.