华侨大学学报（自然科学版）2026，Vol.47Issue(1)：11-19,9.DOI:10.11830/ISSN.1000-5013.202509040
采用大语言模型和Petri网的智能车间自动规划方法
Automatic Planning Method of Intelligent Workshop Using Large Language Models and Petri Net
摘要
Abstract
To enhance the human-machine interaction friendliness of engineers working with complex work-shop systems,an automatic modeling and planning method for manufacturing workshops based on large lan-guage model and Petri net is proposed.First,a large language model is introduced to transform natural lan-guage descriptions of workshop operations into planning domain definition language(PDDL)specifications.Then,the corresponding Petri net model is generated by a PDDL conversion algorithm.Finally,based on the generated Petri net architecture,an optimal path search algorithm is applied to compute the optimal execution path for workshop operations,thereby realizing the automatic modeling and planning.Experimental results show that the proposed method enables effective control of machining workshop operations directly through natural language,significantly enhancing the interaction efficiency and user-friendliness for engineers in com-plex workshop environments.关键词
大语言模型/规划领域定义语言/Petri网/自动规划Key words
large language model/planning domain definition language/Petri net/automatic planning分类
信息技术与安全科学引用本文复制引用
王桃,林泽轩,孙莎莎,罗继亮..采用大语言模型和Petri网的智能车间自动规划方法[J].华侨大学学报（自然科学版）,2026,47(1):11-19,9.基金项目
国家自然科学基金资助项目(61973130) （61973130）
