摘要
制造企业在数字化转型中的核心任务之一是建立工业数据体系并有效管理数据。然而,在智能化转型过程中,许多企业都面临“工业数据孤岛”的问题。数据湖架构提供了解决这一问题的方案。文章旨在分析制造企业数字化转型的背景下,工业大数据的内涵、典型特征以及现状,探讨数据湖架构在工业领域的应用,以为实现制造业数字化改造和智能化升级提供数据支持。
One of the core tasks for manufacturing enterprises in digital transformation is to establish an industrial data system and effectively manage data.However,in the process of intelligent transformation,many enterprises are facing the problem of“industrial data silos”.The data lake architecture provides a solution to this problem.The article aims to analyze the connotation,typical characteristics,and current situation of industrial big data in the context of digital transformation of manufacturing enterprises,explore the application of data lake architecture in the industrial field,and provide data support for achieving digital transformation and intelligent upgrading of manufacturing industry.
作者
李剑
LI Jian(Beijing University of Civil Engineering and Architecture,Beijing 102627,China)
出处
《计算机应用文摘》
2024年第3期104-106,共3页
Chinese Journal of Computer Application
关键词
智能制造
工业大数据
数据湖
数据仓库
intelligent manufacturing
industrial big data
data lake
data warehouse