工业4.0车间环境中支持云的智能数据收集

F. Bosi, Antonio Corradi, L. Foschini, S. Monti, Lorenzo Patera, Luca Poli, M. Solimando
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引用次数: 9

摘要

工业4.0的转型使智能工厂的管理发生了显著的变化。现代公司可以在整个生产链上提供新的服务。为了实现工业4.0世界所要求的服务化目标,需要对当前的生产链进行现代化。这种共同需求主要来自制造业,在制造业中,复杂的工作机器与人类工人协同工作。机器产生的数据必须得到快速处理,以便实施预测性维护和远程控制等反应性服务,始终照顾附近人员的安全。本文提出了一种多层体系结构,用于监控客户工厂内运行的遗留生产机器。该平台提供从机器收集的数据的近乎实时的交付,并根据客户需求进行高水平的定制。已执行的测试显示了该平台在具有多台机器工作的生产生态系统中的可扩展性,确认了其在不同需求的不同生产设施中的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud-enabled Smart Data Collection in Shop Floor Environments for Industry 4.0
Industry 4.0 transition is producing a remarkable change in the Smart Factories management. Modern companies can provide new services following products inside the shop floors along the entire production chain. To achieve the goal of servitization that the Industry 4.0 world requires, a modernization of current production chains is needed. This common demand comes mostly from manufacturing sector, where complex work machines collaborate with human workers. The data produced by the machines must be processed quickly, to allow the implementation of reactive services such as predictive maintenance, and remote control, always taking care of the safety of nearby people. This paper proposes a multi-layer architecture to monitor legacy production machines during their operations inside customers plants. The platform provides near real-time delivery of data collected from the machines with a high grade of customization according to customer needs. The performed tests show the scalability of the platform for a productive ecosystem with many machines at work, confirming its feasibility within different production facilities with different needs.
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