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用于分布式数字制造系统的基于现场可编程门阵列的传感器:最新技术综述

FPGA-Based Sensors for Distributed Digital Manufacturing Systems: A State-of-the-Art Review.

作者信息

Khan Laraib, Isanaka Sriram Praneeth, Liou Frank

机构信息

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA.

出版信息

Sensors (Basel). 2024 Dec 2;24(23):7709. doi: 10.3390/s24237709.

Abstract

The combination of distributed digital factories (DFs) with sustainable practices has been proposed as a revolutionary technique in modern manufacturing. This review paper explores the convergence of DF with innovative sensor technology, concentrating on the role of Field Programmable Gate Arrays (FPGAs) in promoting this paradigm. A DF is defined as an integrated framework where digital twins (DTs), sensors, laser additive manufacturing (laser-AM), and subtractive manufacturing (SM) work in synchronization. Here, DTs serve as a virtual replica of physical machines, allowing accurate monitoring and control of a given manufacturing process. These DTs are supplemented by sensors, providing near-real-time data to assure the effectiveness of the manufacturing processes. FPGAs, identified for their re-programmability, reduced power usage, and enhanced processing compared to traditional processors, are increasingly being used to develop near-real-time monitoring systems within manufacturing networks. This review paper identifies the recent expansions in FPGA-based sensors and their exploration within the DFs operations. The primary topics incorporate the deployment of eco-efficient data management and near-real-time monitoring, targeted at lowering waste and optimizing resources. The review paper also identifies the future research directions in this field. By incorporating advanced sensors, DTs, laser-AM, and SM processes, this review emphasizes a path toward more sustainable and resilient DFs operations.

摘要

分布式数字工厂(DFs)与可持续实践相结合,已被视为现代制造业中的一项革命性技术。本文综述探讨了DF与创新传感器技术的融合,重点关注现场可编程门阵列(FPGA)在推动这一模式中的作用。DF被定义为一个集成框架,其中数字孪生(DTs)、传感器、激光增材制造(laser-AM)和减材制造(SM)同步运行。在这里,DTs充当物理机器的虚拟副本,允许对给定的制造过程进行精确监控和控制。这些DTs由传感器补充,提供近实时数据以确保制造过程的有效性。与传统处理器相比,FPGA因其可重新编程、降低功耗和增强处理能力而被识别出来,越来越多地用于开发制造网络中的近实时监控系统。本文综述确定了基于FPGA的传感器的最新扩展及其在DFs操作中的探索。主要主题包括部署生态高效的数据管理和近实时监控,旨在减少浪费和优化资源。本文综述还确定了该领域未来的研究方向。通过结合先进的传感器、DTs、laser-AM和SM工艺,本综述强调了一条实现更可持续和更具弹性的DFs操作的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/593a/11645001/7dbd4f9bcacd/sensors-24-07709-g001.jpg

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