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Lucas Vogt on Muck Rack

Lucas Vogt

As seen in: MDPI, Atlas Obscura
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Articles

Generation of PLC Code using Large Language Models: A Comparative Study

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By Dominic Fröming, TUD Dresden, Lucas Vogt
| tu-dresden.de
Software complexity in industrial automation systems continues to increase, which makes the programming of Programmable Logic Controllers (PLCs) a repetitive and time-consuming engineering task. Traditional programming of IEC 61131-3 code requires domain expertise and manual effort. This study explores the potential of Large Language Models (LLMs) to automate parts of this process by generating PLC code directly from natural-language specifications.
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Automation in Biopharma: Impact of Industrial Control as a Service

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By Lucas Vogt, Leon Urbas
| tu-dresden.de
The biopharmaceutical industry faces challenges in time-to-market, complexity, and scalability due to rigid traditional automation architectures. Industrial Control as a Service (ICaaS) offers a flexible, server-based alternative, virtualizing control functions to enhance the modularity and the pre-qualification of automation systems.
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Automation of Automation: Mapping LLM Capabilities to the Modular Plant Engineering Workflow

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By Lucas Vogt, Professur für Prozessleittechnik, Leon Urbas
| tu-dresden.de
Large Language Models (LLMs) have shown promising capabilities in supporting and automating a variety of clearly defined, structured tasks. The engineering of modular plants also follows standardized workflow structures and uses standardized artifacts such as P&IDs, flow diagrams or HAZOPs. Therefore, the engineering of modular plants has the potential to be significantly supported or automated by AI tools.
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