School of Computing, Engineering and Physical Sciences, University of West of Scotland, Paisley PA1 2BE, UK.
School of Business and Creative Industries, University of West of Scotland, Paisley PA1 2BE, UK.
Sensors (Basel). 2020 Nov 27;20(23):6783. doi: 10.3390/s20236783.
The evolution of intelligent manufacturing has had a profound and lasting effect on the future of global manufacturing. Industry 4.0 based smart factories merge physical and cyber technologies, making the involved technologies more intricate and accurate; improving the performance, quality, controllability, management, and transparency of manufacturing processes in the era of the internet-of-things (IoT). Advanced low-cost sensor technologies are essential for gathering data and utilizing it for effective performance by manufacturing companies and supply chains. Different types of low power/low cost sensors allow for greatly expanded data collection on different devices across the manufacturing processes. While a lot of research has been carried out with a focus on analyzing the performance, processes, and implementation of smart factories, most firms still lack in-depth insight into the difference between traditional and smart factory systems, as well as the wide set of different sensor technologies associated with Industry 4.0. This paper identifies the different available sensor technologies of Industry 4.0, and identifies the differences between traditional and smart factories. In addition, this paper reviews existing research that has been done on the smart factory; and therefore provides a broad overview of the extant literature on smart factories, summarizes the variations between traditional and smart factories, outlines different types of sensors used in a smart factory, and creates an agenda for future research that encompasses the vigorous evolution of Industry 4.0 based smart factories.
智能制造的发展对全球制造业的未来产生了深远而持久的影响。基于工业 4.0 的智能工厂融合了物理和网络技术,使相关技术更加复杂和精确;在物联网(IoT)时代提高了制造过程的性能、质量、可控性、管理和透明度。先进的低成本传感器技术对于制造企业和供应链收集数据和利用数据有效提高性能至关重要。不同类型的低功耗/低成本传感器允许在制造过程中的不同设备上进行大量扩展的数据收集。虽然已经进行了大量的研究,重点是分析智能工厂的性能、流程和实施,但大多数公司仍然缺乏对传统工厂和智能工厂系统之间差异的深入了解,以及与工业 4.0 相关的各种传感器技术的广泛了解。本文确定了工业 4.0 的不同可用传感器技术,并确定了传统工厂和智能工厂之间的差异。此外,本文还回顾了关于智能工厂的现有研究;因此,本文对智能工厂的现有文献进行了广泛的概述,总结了传统工厂和智能工厂之间的差异,概述了智能工厂中使用的不同类型的传感器,并为未来的研究制定了议程,涵盖了基于工业 4.0 的智能工厂的蓬勃发展。