工业信息学的巨大挑战

L. Camarinha-Matos
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引用次数: 0

摘要

在过去的十年中,工业信息学一直是工业工程新发展的关键推动者,甚至是主要的诱导者。在由工业4.0“运动”引发的持续数字化转型过程中,这一相关角色变得更加明显。所谓的第四次工业革命,实际上是多种信息和通信技术融合和融合的结果(Camarinha-Matos等,2019)(Zheng等,2021)(Alexa等,2022)。虽然最初关注的是网络世界和物理世界的融合,如“网络物理系统”和“物联网”等术语,但很快这个概念就被逐渐扩展为“智能”/“智能”方面,如“智能设备”、“智能传感器”、“智能机器”、“智能系统”和“智能工厂”等术语。随着工业4.0成为一种流行语,在全球范围内得到强有力的政治支持,其他一些技术,通常被称为“指数技术”,包括智能机器人、人工智能/机器学习、纳米技术、神经技术、传感和感知、增材制造/3D打印、移动计算等,也加入了这一运动,并帮助创造了推动重大产业转型甚至复兴的势头。最近的研究议程,如欧盟委员会的工业5.0 (Breque等人,2021年)(Maddikunta等人,2022年)和社会5.0 (Broeckaert, 2022年)(Deguchi等人,2020年),除了更加强调智能/人工智能之外,还需要更清楚地考虑可持续性和以人为本方面。这也符合“联合国2030年可持续发展议程”(可持续发展目标司,2015年)。因此,工业信息学领域被要求从纯粹的以技术为中心的视角(主要是工业4.0的特征)转向更普遍的视角,即需要普遍的社会关注和以人为中心的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grand challenges in industrial informatics
Industrial Informatics has been a key enabler and even a main inducer of novel developments in industrial engineering along the last decade. This relevant role has become more visible in the context of the ongoing digital transformation processes, triggered by the Industry 4.0 “movement.” The so-called fourth industrial revolution is, in fact, the result of a convergence and integration of multiple information and communication technologies (Camarinha-Matos et al., 2019) (Zheng et al., 2021) (Alexa et al., 2022). Although initially focused on the integration of the cyber and physical worlds, as reflected in the terms “Cyber-Physical Systems” and “Internet of Things”, soon the idea was gradually expanded by the addition of “smartness”/“intelligence” facets, as reflected in the terms “smart devices”, “smart sensors”, “smart machines”, “smart systems”, and “smart factories”. As Industry 4.0 became a kind of buzzword, with strong political support worldwide, several other technologies, often branded as “exponential technologies”, and including intelligent robotics, artificial intelligence/machine learning, nanotechnologies, neuro-technologies, sensing and perception, additive manufacturing/3D printing, mobile computing, etc., joined the movement and helped create momentum driving significant industrial transformation and even revitalization. More recent research agendas, as the European Commission’s Industry 5.0 (Breque et al., 2021) (Maddikunta et al., 2022) and Society 5.0 (Broeckaert, 2022) (Deguchi et al., 2020), in addition to a greater emphasis on smartness/artificial intelligence, put the need to consider sustainability and human-centricity aspects more clearly on the table. This is also well aligned with the “UN Agenda 2030 for sustainable development” (Division for Sustainable Development Goals (DSDG), 2015). The field of Industrial Informatics is thus called upon to move from a purely techno-centric perspective, which mainly characterized Industry 4.0, to a more general perspective in which general societal concerns and human-centric developments are required.
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