工作车间
碳纤维
数字化制造
服务(商务)
离散制造
计算机科学
制造业
制造工程
工程类
生产(经济)
业务
嵌入式系统
算法
流水车间调度
宏观经济学
经济
营销
复合数
布线(电子设计自动化)
作业车间调度
作者
Chaoyang Zhang,Weixi Ji
出处
期刊:Procedia CIRP
[Elsevier]
日期:2019-01-01
卷期号:83: 624-629
被引量:33
标识
DOI:10.1016/j.procir.2019.04.095
摘要
Along with the development of sensing and data processing technology, intelligence manufacturing based on cyber physical system (CPS) is a development tendency of manufacturing industry. And digital twin has been regarded as an implement method of CPS. Considering the complexity and uncertainty of discrete manufacturing job-shop, the carbon emission data integration and low-carbon control of the manufacturing systems automatically are two significant challenges. In order to realize the carbon emission reduction in intelligent manufacturing workshop, a digital twin-driven carbon emission prediction and low-carbon control of intelligent manufacturing job-shop is proposed, which includes digital twin model of low-carbon manufacturing job-shop, digital twin data interaction and fusion for low-carbon manufacturing, digital twin-driven carbon emission prediction and low-carbon control. And three key enabling technologies are also studied, i.e., digital twin data processing of low-carbon manufacturing job-shop, carbon emission evaluation and prediction service based on digital twin, digital twin data-driven low-carbon control methods of manufacturing job-shop. This method can integrate the latest information and computing technology with low-carbon manufacturing, and verify and optimize the control schemes through virtual workshop. Meanwhile, the carbon emission evaluation and prediction can be encapsulated into a service of a machine tool for customers.
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