Department of Computer Science and Engineering (DISI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.
Sensors (Basel). 2021 Dec 28;22(1):190. doi: 10.3390/s22010190.
We are still in the midst of Industry 4.0 (I4.0), with more manufacturing lines being labeled as smart thanks to the integration of advanced ICT in Cyber-Physical Systems (CPS). While I4.0 aims to provision cognitive CPS systems, the nascent Industry 5.0 (I5.0) era goes a step beyond, aiming to build cross-border, sustainable, and circular value chains benefiting society as a whole. An enabler of this vision is the integration of data and AI in the industrial decision-making process, which does not exhibit yet a coordination between the Operation and Information Technology domains (OT/IT). This work proposes an architectural approach and an accompanying software prototype addressing the OT/IT convergence problem. The approach is based on a two-layered middleware solution, where each layer aims to better serve the specific differentiated requirements of the OT and IT layers. The proposal is validated in a real testbed, employing actual machine data, showing the capacity of the components to gracefully scale and serve increasing data volumes.
我们仍处于工业 4.0(I4.0)时代,由于先进的信息通信技术(ICT)在信息物理系统(CPS)中的集成,更多的制造生产线被标记为智能生产线。虽然工业 4.0 旨在提供认知信息物理系统,但新兴的工业 5.0(I5.0)时代更进一步,旨在构建跨境、可持续和循环价值链,造福整个社会。这一愿景的推动者是在工业决策过程中整合数据和人工智能,而这两个领域(OT/IT)之间尚未表现出协调。这项工作提出了一种架构方法和一个配套的软件原型,以解决 OT/IT 融合问题。该方法基于两层中间件解决方案,其中每一层旨在更好地满足 OT 和 IT 层的特定差异化需求。该提案在实际测试平台中得到了验证,使用实际的机器数据,展示了组件的扩展能力,能够优雅地扩展并处理不断增加的数据量。