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Condition-based Monitoring Architecture for CNC Machine Tools based on Global Knowledge

机译：基于全球知识的CNC机床的基于条件的监控架构

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摘要

Nowadays, new challenges are arising in the multiple industrial sectors focused on the application or adaptation of the digitalized solution with a high grade of optimization in the process, traceability, information & knowledge generation, products personalization, connectivity, customer feedback, etc. The aim is to provide an excellent product or service, increasing your productivity, competitiveness and presence in the market. In particular, manufacturing processes adopt solution with higher sensor system levels based on Cyber-Physical System approaches to obtain process parameters and control machine tools, robots and industrial drives on the shop floor, plant or global production stations. The present article introduces a condition-based monitoring architecture to manage alarm and events based on global information captured by multiple sensors integrated a family of CNC machine tools. The architecture is divided in two modules: a local system embedded in each machine and a cloud as a service system to supervise the local accuracy based on global system knowledge. Finally, an industrial CPS study case based on a bearing benchmark is simulated, validating the local condition-based monitoring stability in function of the update provides by the global module.
机译：如今，新的挑战在多个工业部门，专注于数字化解决方案的应用程序或适应，在过程中，可追溯性，信息和知识生成，产品个性化，连接，客户反馈等。目的是提供优质的产品或服务，提高您的生产力，竞争力和市场存在。特别是，制造过程采用基于网络地理系统的较高传感器系统水平的解决方案，以获得商店地板，植物或全球生产站的工艺参数和控制机床，机器人和工业驱动器。本文介绍了一种基于条件的监视架构，用于基于由多个传感器捕获的全局信息集成了CNC机床的全局信息来管理警报和事件。该架构分为两个模块：嵌入在每台计算机中的本地系统和作为服务系统的云，以根据全球系统知识监督局部精度。最后，模拟了基于轴承基准的工业CPS研究案例，验证了全局模块的更新功能中的基于本地条件的监视稳定性。

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