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From Code Generator to Engineering Companion: A Plant-Aware Agent for PLC Programming

Joschka Kersting, Gesa A. Benndorf · 2026 · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

DOI: 10.1109/etfa68377.2026.11725227 · cited by 0 works (OpenAlex) · open-access PDF

Hindi

Programable Logic Controller (PLC) कोडिंग अभी भी एक मैनुअल, आईडीई केंद्रित कार्य है जो दस्तावेज़, परियोजना फ़ाइलों और कोड संपादकों के बीच निरंतर संदर्भ स्विच की आवश्यकता होती है। हाल के कार्यों ने दिखाया है कि रिसेप्शन-आउट बड़े भाषा मॉडल उच्च संस्करण दरों पर विक्रेता अनुरूप संरचित पाठ उत्पन्न कर सकते हैं, हालांकि ये सिस्टम कोड जनरेटिंग को एक एकल-शॉट पाइपलाइन के रूप में व्यवहार करते हैं: इंजीनियर एक पूछताछ भेजता है और कोड प्राप्त करता है, विशिष्ट संयंत्र के बारे में किसी भी निरंतर ज्ञान के बिना। हम एक संयंत्र-सही बातचीत कॉलिपोट प्रस्तुत करते हैं जो इस पैरामिडम को तीन दिशा

Machine translation (Meta M2M100); the English original follows.

Abstract

Programmable Logic Controller (PLC) coding remains a manual, IDE-centric task that demands constant context switching between documentation, project files, and code editors. Recent work has demonstrated that retrieval-augmented large language models can generate vendor-compliant Structured Text at high compilation rates \cite{pred}, yet these systems treat code generation as a one-shot pipeline: the engineer submits a query and receives code, with no persistent knowledge of the specific plant. We present a plant-aware conversational copilot that extends this paradigm in three directions: plant-specific context ingestion, a chat-first interaction model for explanation and debugging, and a graduated tool-access ladder from chat to deployment. The system is designed for real plant infrastructure and keeps the engineer in control of each step that produces real-world effects.

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Topics: Computer science, Code (set theory), Programmable logic controller, Generator (circuit theory), Code generation, Programming language

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