基于大型语言模型的自然语言船舶部件建模
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1.招商局工业集团有限公司;2.江苏大学;3.江苏科技大学

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Natural Language Ship Part Modeling Based on Large Language Models
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1.China Merchants Industry Holding CO., LTD;2.Jiangsu University of Science and Technology

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    摘要:

    研究旨在探索大模型技术在船舶生产设计过程中应用技术路线,验证大模型在辅助快速建模中应用的可行性,以帮助提高生产设计的效率。通过大模型提示词工程,从输入的自然语言文本中提取建模所需的参数,并按标准格式输出通用建模指令。再通过对AVEVA Marine (AM)的二次开发将通用建模指令转换为对三维模型的创建、修改和删除等操作。在AM的二次开发中,使用模型库的方式实现标准部件的快速建模。通过自然语言建模的方法,使用文本、语音输入自然语言即可完成对三维模型的各种操作,实现了生产设计建模中简易且常见的操作。

    Abstract:

    In order to explore the technical route of applying large model technology in the process of ship production design, and to verify the feasibility of the application of large model in assisting rapid modeling, so as to help improve the efficiency of production design. The parameters required for modeling are extracted from the input natural language text by means of large model prompt engineering, and generic modeling instructions are output in a standard format. Then, through the secondary development of AVEVA Marine (AM) platform, the generic modeling commands are converted into operations such as creation, modification and deletion of 3D models. In the secondary development of AM, rapid modeling of standard components is achieved using a model library approach. Through the method of natural language modeling, various operations on 3D models can be completed by using text and voice input natural language, achieving easy and common operations in production design modeling.

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  • 收稿日期:2024-08-01
  • 最后修改日期:2024-08-01
  • 录用日期:2024-08-22
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