Synoptix and Loughborough University were awarded funding through Innovate UK (UKRI) for a 4-month Accelerated Knowledge Transfer (AKT) project entitled: Extraction and Visualisation of Model Views using Data Analytics. As the complexity, scale and scope of MBSE system models grow, it becomes harder to generate both model content and value-added cross-cutting model views. Current modelling tools have limited capability for anything beyond the simplest data analysis and do not allow us to meet the challenges of Industry 4.0. 

Our approach

We undertook to:

• Create model extension mechanisms to enable dual-way labelling of model views onto model elements 

• Create scripts to utilise and process the labels to produce view-based diagrams 

• Analyse the data within RStudio to transform the data set into a useable data structure 

• Carry out statistical analysis of the data structure to derive patterns in the use of natural language with associated model semantics 

• Develop rule-based algorithms for automated model-view annotation 

• Explore the use of large language models for model view extraction

Benefits

This joint industry/academic project offers:

• Increased explainability for stakeholders with no modelling experience

• A reduced barrier to entry for customer modelling efforts

• Cost savings in model generation and increased consistency of outputs

• We intend to continue to develop the relationship with Loughborough University to deliver further research-based collaborations, with the aim of incorporating these world-leading techniques into our service offering