首页|基于大模型的工业互联网物模型智能生成技术研究

基于大模型的工业互联网物模型智能生成技术研究

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针对工业互联网平台中物模型构建效率低下等问题,提出了一种基于大语言模型(LLM)和检索增强生成RAG框架的物模型智能生成技术.首先,介绍了工业互联网平台发展背景及物模型构建的现状和挑战;然后,详细阐述了基于LLM+RAG的物模型智能生成技术原理;最后,以大型工业锻造设备为例,展示了该技术在格物Unilink工业互联网平台上的应用效果.研究表明,该技术能够有效提高物模型生成的效率,为工业互联网平台的应用推广提供有力支撑.
Research on Intelligent Generation Technology of Industrial Internet Thing Model Based on Large Language Model
In order to improve the efficiency of thing model constructing in Industrial Internet platform,an intelligent generation technology based on Large Language Models(LLM)and Retrieval-Augmented Generation(RAG)framework is proposed. At first,the development background of Industrial Internet platforms,the current status and challenges of thing model construction are introduced. Then the technical details of LLM+RAG-based intelligent model generation are elaborated,Finally,taking the thing model of a large scale industrial forging equipment as an example,it demonstrates the application effects of this technology on the Gewu Unilink Industrial Internet platform. The research indicates that this technology can effectively improve the efficiency of model generation,providing robust support for the development of Industrial Internet platforms.

Industrial internetThing modelLarge language modelRetrieval-augmented generation

蒋维、王延红、朱亮、范斌、刘慧、王秀娟、王均

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联通数字科技有限公司,北京100032

中国联合网络通信集团有限公司,北京100033

工业互联网 物模型 大语言模型 检索增强生成

2024

邮电设计技术
中讯邮电咨询设计院有限公司

邮电设计技术

影响因子:0.647
ISSN:1007-3043
年,卷(期):2024.(11)