Research has defined many formats for standardized data representation of industrial plants. But the adoption in industry is quite low. One main objective is that providing the data in a structured, machine readable format requires additional effort without presenting clear value so far.
    
To show that value we need realistic, structured data. So we have a circular dependency here. To overcome this, a generator for random realistic plant data shall be created.

GOALS:

• understand what characterizes plausible data for several involved domains
• create an ontology from it
• develop a plausible random data generator
• develop measures to proof plausibility of created plant graphs

HELPFUL PRIOR KNOWLEDGE:

• interest in information modelling, ontologies and digital twins
• programming skills and fun in software development
• lecture digital twin engineering provides usefull prior knowledge