The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process

被引：22

作者：

Farhadi, Ahmad ^{[1
,2
,3
]}

Lee, Stephen K. H. ^{[1
,2
,3
]}

Hinchy, Eoin P. ^{[1
,2
,3
]}

O'Dowd, Noel P. ^{[1
,2
,3
]}

McCarthy, Conor T. ^{[1
,2
,3
]}

机构：

[1] Univ Limerick, Confirm Ctr, Limerick V94 C928, Ireland

[2] Univ Limerick, Bernal Inst, Limerick V94 T9PX, Ireland

[3] Univ Limerick, Sch Engn, Limerick V94 T9PX, Ireland

来源：

SENSORS | 2022年 / 22卷 / 19期

基金：

爱尔兰科学基金会;

关键词：

smart manufacturing; robotic machining; digital twin; TECHNOLOGIES; SYSTEM;

D O I：

10.3390/s22197232

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A digital twin is a digital representation of a physical entity that is updated in real-time by transfer of data between physical and digital (virtual) entities. In this manuscript we aim to introduce a digital twin framework for robotic drilling. Initially, a generic reference model is proposed to highlight elements of the digital twin relevant to robotic drilling. Then, a precise reference digital twin architecture model is developed, based on available standards and technologies. Finally, real-time visualisation of drilling process parameters is demonstrated as an initial step towards implementing a digital twin of a robotic drilling process.

引用

页数：13