Feasibility of 5G-enabled process monitoring in milling operations

IF 1.9 Q3 ENGINEERING, MANUFACTURING
Liwen Hu , Baihui Chen , ElHussein Shata , Shashank Shekhar , Charif Mahmoudi , Ivan Seskar , Qingze Zou , Y.B. Guo
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引用次数: 0

Abstract

5G monitoring holds immense potential for revolutionizing manufacturing processes by enabling real-time data transmission, remote control, enhanced quality control, and increased efficiency. However, it also presents challenges related to 5G monitoring infrastructure. To explore 5G’s potential for process monitoring, this study introduces a novel 5G-enabled architecture designed to address the challenges, enhancing the process monitoring’s efficiency, accuracy, and reliability in the case of milling operation. To investigate the feasibility of this sophisticated 5G network for process monitoring, two testbeds, i.e., the 5G robotic milling testbed and the 5G CNC milling testbed, have been developed. An accelerometer and a laser scanner have been retrofitted with 5G communications capability to capture critical process signals in the testbeds, respectively. It has shown that the sensor data can be upstreamed to a 5G edge server for data analytics and visualization in ultra-low latency. This work highlights the transformative impact of 5G communication on process monitoring for time-critical manufacturing.
在制粉作业中实现 5G 工艺监控的可行性
5G 监控通过实现实时数据传输、远程控制、强化质量控制和提高效率,在彻底改变制造流程方面具有巨大的潜力。然而,它也带来了与 5G 监控基础设施相关的挑战。为了探索 5G 在流程监控方面的潜力,本研究介绍了一种新型 5G 架构,旨在应对挑战,提高铣削操作中流程监控的效率、准确性和可靠性。为了研究这种复杂的 5G 网络用于过程监控的可行性,我们开发了两个测试平台,即 5G 机器人铣削测试平台和 5G 数控铣削测试平台。加速度计和激光扫描仪加装了 5G 通信功能,可分别捕捉试验台中的关键过程信号。研究表明,传感器数据可以上传到 5G 边缘服务器,以超低延迟进行数据分析和可视化。这项工作凸显了 5G 通信对时间关键型制造过程监控的变革性影响。
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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来源期刊
Manufacturing Letters
Manufacturing Letters Engineering-Industrial and Manufacturing Engineering
CiteScore
4.20
自引率
5.10%
发文量
192
审稿时长
60 days
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