一句话：探索将LLM用于工业过程自动化中专有语言的编程任务，以加速制造系统开发。
近年来，大量研究探讨了将大语言模型（LLM）用于软件工程的最佳实践，但多数工作集中于Python等通用编程语言，因其训练数据丰富。对于工业过程自动化领域，其使用的语言高度专用且通常仅存在于专有环境中，LLM的效用尚未得到充分探索。本研究旨在将LLM整合到工业开发流程中，解决实际编程任务（例如为机械臂生成运动例程），并加速制造系统的开发周期。目前摘要未报告具体方法与评估结果。
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.