协助系统支持复杂工业系统的故障排除

Dorota Lang, P. Wunderlich, Mario Heinz, Lukasz Wisniewski, J. Jasperneite, O. Niggemann, C. Röcker
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引用次数: 5

摘要

在不断变化的世界中,工业系统变得越来越复杂。机器以警报和通知的形式反馈,由于其数量不断增长,对操作员来说变得难以应付。此外,与系统可用性相关的期望也在增长。因此,迫切需要新的解决方案来保证快速排除系统运行过程中出现的问题。本研究中提出的方法利用了资产管理Shell、机器学习和人机交互的优势,以创建整体解决复杂工业系统故障排除问题的辅助系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assistance system to support troubleshooting of complex industrial systems
In ever changing world, the industrial systems become more and more complex. Machine feedback in the form of alarms and notifications, due to its growing volume, becomes overwhelming for the operator. In addition, expectations in relation to system availability are growing as well. Therefore, there exists strong need for new solutions guaranteeing fast troubleshooting of problems that arise during system operation. The approach proposed in this study uses advantages of the Asset Administration Shell, machine learning, and human-machine interaction in order to create the assistance system which holistically addresses the issue of troubleshooting complex industrial systems.
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