智能制造中的技术融合与人才培养策略研究  

Research on technology integration and talent cultivation strategies in intelligent manufacturing

作　　者：王明瑞[1] 李贤 Wang Mingrui;Li Xian(Zhengzhou Information Engineering College,Zhengzhou,Henan,450100)

机构地区：[1]郑州信息工程职业学院,河南郑州450100

出　　处：《市场周刊》2025年第9期166-169,共4页Market Weekly

基　　金：河南省高等教育教学教改研究与实践(重点)项目“双高背景下基于四链融合的数字工匠人才培养模式研究与实践”(项目编号:2024SJGLX0674);全国高等职业院校信息技术课程改革研究项目“高职教育数字化推进课程思政融入信息技术教学方法变革的研究与实践”(项目编号:KT2024229)。

摘　　要：文章探讨了智能制造中的技术融合和人才需求,分析了算法模型、数据平台及其应用对制造业的推动作用,并重点讨论了虚拟实验室和模拟训练系统在人才培养中的应用。文章提出,随着智能制造技术的快速发展,操作人员的技能需求正向多学科、数据分析和创新决策等方向转变。为此,企业应制订有效的人才培养策略,通过跨学科培训、实战演练、创新能力培养等方式,提升操作人员的综合能力,确保他们能够适应智能制造环境中的技术挑战,推动智能制造产业的持续发展。This article discusses the technology integration and talent demand in intelligent manufacturing,analyzes the role of algo-rithm models,data platforms and their applications in promoting the manufacturing industry,and focuses on the application of virtual labo-ratories and simulation training systems in talent training.The article points out that with the rapid development of intelligent manufacturing technology,the skill requirements of operators are shifting towards multidisciplinary,data analysis and innovative decision-making.To this end,enterprises should formulate effective talent training strategies to improve the comprehensive capabilities of operators through interdis-ciplinary training,actual combat exercises,and innovative ability training,ensure that they can adapt to the technical challenges in the in-telligent manufacturing environment,and promote the sustainable development of the intelligent manufacturing industry.

关 键 词：智能制造 算法模型 技术融合 人才培养策略 

分 类 号：F272.92[经济管理—企业管理]