Applying OPC-UA for Factory-Wide Industrial Assistance Systems

Bjorn Barig, Kaja Balzereit, T. Hutschenreuther
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引用次数: 4

Abstract

Condition monitoring of machines is a building block for efficient production chains. However, monitoring of a single machine does not cover complex faults that occur due to the interactions of different machines in the production chain. To identify these problems, possible causes and the actual defect location within the value chain, is a complex process. Assistance systems solve this by applying artificial intelligence to learn the system behaviour and provide detailed diagnostics and fault predictions covering the complete factory/plant. We aim for an Industry 4.0 compliant system. To achieve that, we use OPC UA to cover the communication between all parts of the assistance system and each assistance system carries an asset administration shell to share information within the network. In this paper, contrary to our previous work, we focus on the communication aspects required to integrate the assistance systems into the corresponding Industry 4.0 environment [1]. Besides that, we discuss options and challenges to extend our approach towards a system with multiple assistance systems in parallel to cover whole factories.
OPC-UA在全厂工业辅助系统中的应用
机器状态监测是高效生产链的组成部分。然而,对单个机器的监控并不包括由于生产链中不同机器的相互作用而发生的复杂故障。识别这些问题、可能的原因和价值链中实际的缺陷位置,是一个复杂的过程。辅助系统通过应用人工智能来学习系统行为,并提供覆盖整个工厂/工厂的详细诊断和故障预测,从而解决了这个问题。我们的目标是一个符合工业4.0标准的系统。为了实现这一目标,我们使用OPC UA覆盖辅助系统各部分之间的通信,每个辅助系统都携带一个资产管理外壳,在网络内共享信息。在本文中,与我们之前的工作相反,我们将重点放在将辅助系统集成到相应的工业4.0环境中所需的通信方面。除此之外,我们还讨论了将我们的方法扩展到一个具有多个并行辅助系统的系统以覆盖整个工厂的选择和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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