arXiv:2602.23331cs.SEcs.AI2026-02被引 2

用大模型辅助工业自动化编程,提速制造系统开发

Utilizing LLMs for Industrial Process Automation

  • 将大模型应用于专用工业编程语言,解决实际开发任务
  • 可生成机器人臂运动程序等真实场景代码,提升开发效率
  • 适合工业软件开发者与自动化系统工程师参考

近年来,越来越多的研究探讨如何在软件工程中应用大语言模型(LLMs)。然而,现有工作大多聚焦于Python等通用编程语言,因其广泛使用和丰富的训练数据。对于工业过程自动化领域中使用的高度专业化、通常仅限于专有环境的编程语言,大模型的应用仍鲜有探索。本研究旨在将大模型融入工业开发流程,解决真实的编程任务(如生成机器人臂的运动程序),并加速制造系统的开发周期。

原文摘要 · Abstract (English)

A growing number of publications address the best practices to use Large Language Models (LLMs) for software engineering in recent years. However, most of this work focuses on widely-used general purpose programming languages like Python due to their widespread usage training data. The utility of LLMs for software within the industrial process automation domain, with highly-specialized languages that are typically only used in proprietary contexts, remains underexplored. This research aims to utilize and integrate LLMs in the industrial development process, solving real-life programming tasks (e.g., generating a movement routine for a robotic arm) and accelerating the development cycles of manufacturing systems.

工业自动化大模型应用代码生成

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