Intuitive and Interactive Generation of Information Models Based on LLMs

There exist diverse machines on a factory shopfloor which aim to work together to achieve a goal. Therefore, it is desired to have a harmonized information model for the machines. However, it is not easy for an engineer to understand the standard specifications (e.g., OPC UA, AAS etc.) which are typically complex and may be based on several further specifications. Additionally, he needs tools which support him for modelling, guidance and best practices. Therefore, in this presentation Aparna will show how to address this problem by leveraging generative AI technologies. In addition, he also shows how AI technologies can be employed to easily retrieve complex information from the machines.

Vorkenntnisse

• OPC UA, Information modelling, knowledge graphs, Generative AI

Lernziele

• Firstly, the talk shows how AI technologies such as Large Language Models, Natural Language Processing and Knowledge Graphs simplify the proces of providing hormonized and uniform interface over OT data
  
• Secondly, the talk shows how complex information from the shopfloor can be easily retrieved and used on the IT layer to gain data insights