Implementation of a Bi-Directional Digital Twin for Industry 4 Labs in Academia: A Solution Based on OPC UA

A. Protic, Ziyue Jin, R. Marian, K. Abd, D. Campbell, J. Chahl
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引用次数: 6

Abstract

With the increased demands of smarter manufacturing approaches around the world, the process of industrial digital transformation is being pushed in and by both industry and academia. Learning factories and testing laboratories have been developed for decades for teaching and training purposes in Academia. Nowadays, as the future trend in industry, Industry 4 is being merged into the latest development of learning factories and testing laboratories. This paper presents the development and implementation of a bi-directional digital twin application in an Industry 4 testing laboratory at University of South Australia. The solution is based on the establishment of OPC UA connection between two cobots of different brands, the use of NX Siemens as a CAD simulation platform and a SCADA system from Inductive Automation. Due to differences between system interfaces, communication between different modules was challenging. Python OPC UA servers were developed. The digital twin replicates the physical system and is driven by inputs from the assembly cell.
基于OPC UA的工业4.0实验室双向数字孪生实现方案
随着全球对智能制造方法的需求不断增加,工业和学术界正在推动工业数字化转型的进程。学习工厂和测试实验室已经发展了几十年,用于学术界的教学和培训目的。如今,作为工业的未来趋势,工业4正在融合为最新发展的学习型工厂和测试实验室。本文介绍了在南澳大利亚大学工业4测试实验室中双向数字孪生应用的开发和实现。该解决方案基于在两个不同品牌的协作机器人之间建立OPC UA连接,使用NX Siemens作为CAD仿真平台和来自感应自动化的SCADA系统。由于系统接口的差异,不同模块之间的通信具有挑战性。开发了Python OPC UA服务器。数字孪生复制了物理系统,并由装配单元的输入驱动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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