摘要
数字时代背景下,数据已成为新质生产力中的优质要素,随着人工智能、大模型的快速发展,其与制造业的深度融合正逐渐改变着生产方式。当前,如何利用大模型赋能制造业成为热点,但是如何构建面向大模型的高质量数据底座的研究较少,而高质量的数据是大模型训练以及助力大模型应用的关键点。研究进行了高质量数据管理的分析,提出了一种基于云平台构架的数据底座建设构架,并以某离散生产过程进行工程实践,验证了思路和构架的有效性,对构建面向大模型的离散生产过程数据底座具有一定参考作用。
In the context of the digital age,data has become a high-quality element in the new quality productivity.With the rapid development of artificial intelligence and large-scale models,their deep integration with manufacturing is gradually changing the production mode.Currently,how to empower the manufacturing industry with big models has become a hot topic,but there is relatively little research on how to construct a high-quality data base for big models.High quality data is the key to training and assisting the application of big models.The study conducted an analysis of high-quality data management and proposed a data base construction framework based on cloud platform architecture.Through engineering practice in a discrete production process,the effectiveness of the ideas and framework was verified,which has certain reference value for building a data base for large model oriented discrete production processes.
作者
牛博通
赵京鹤
娄颖
左鹏
王武
高升
Niu Botong;Zhao Jinghe;Lou Ying;Zuo Peng;Wang Wu;Gao Sheng(Northern Navigation Control Technology Co.,Ltd.,Beijing 100176,China;Beijing Aerospace Intelligent Manufacturing Technology Development Co.,Ltd.,Beijing 100141,China;Beijing Union University,Beijing 100101,China;China North Industries Group,Beijing 100821,China)
出处
《数字化转型》
2025年第8期73-86,共14页
Digital Transformation
基金
2023年工业互联网创新发展工程。
关键词
数据底座
大模型
云平台
Data Base
Big Model
Cloud Platform
