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作 者:王萌 彭飞 郑杰 孙慧[1] 石惠文[1] WANG Meng;PENG Fei;ZHENG Jie;SUN Hui;SHI Huiwen(Tangshan Polytechnic College,Tangshan 063299,China)
出 处:《工业技术与职业教育》2023年第6期1-6,共6页Industrial Technology and Vocational Education
基 金:河北省高等学校科学技术研究项目“基于数字孪生和深度学习的产线智能维护”(课题编号:QN2022201),主持人王萌。
摘 要:随着信息技术的飞速发展,数字孪生体建模作为数字化制造的核心概念之一,已经在制造业取得了显著性突破。旨在研究智能制造产线数字孪生体的构建、方法和应用意义,以推动智能制造的发展。首先探讨了智能制造产线数字孪生体的背景,分析了制造业数字化转型的必要性。其次介绍了构建智能制造产线数字孪生体的方法,其中包括数据采集、传感器技术、模型构建和数据分析等关键步骤。最后,以华中数控的智能制造产线为例构建了数字孪生体,验证了智能制造产线数字孪生构建的有效性。实验证明,该系统满足智能制造生产线多层次、多视角、多任务的管控需求,可有效提高智能制造产线的数字化、透明化水平。With the rapid development of information technology,digital twin modeling,as one of the core concepts of digital manufacturing,has made significant breakthroughs in the manufacturing industry.This paper aims to study the construction,methods,and application significance of digital twins in intelligent manufacturing production lines,in order to promote the development of intelligent manufacturing.Firstly,this paper explores the background of the digital twin of intelligent manufacturing production lines and analyzes the necessity of digital transformation in the manufacturing industry.Secondly,this paper introduces the methods for constructing digital twins in intelligent manufacturing production lines,including key steps such as data acquisition,sensor technology,model construction,and data analysis.Finally,this paper takes the intelligent manufacturing production line of Huazhong CNC as an example to construct a digital twin,verifying the effectiveness of the digital twin construction of the intelligent manufacturing production line.Experiments have s hown that this system meets the multi-level,multi perspective,and multi tas k control requirements of intelligent manufacturing production lines,and can effectively improve the digitalization and transparency level of intelligent manufacturing production lines.
分 类 号:TH166[机械工程—机械制造及自动化] TP399[自动化与计算机技术—计算机应用技术]
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