A Hardware-Agnostic OPC UA Skill Model for Robot Manipulators and Tools

2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Pub Date : 2019-09-01 DOI:10.1109/ETFA.2019.8869205

Stefan Profanter, Ari Breitkreuz, Markus Rickert, A. Knoll

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引用次数: 21

Abstract

The current trend to lot-size-one production requires reduced integration effort and easy reuse of available devices inside the production line. These devices have to offer a uniform interface to fulfill these requirements.This paper presents a hardware-agnostic skill model using the semantic modeling capabilities of OPC UA. The model provides a standardized interface to hardware or software functionality while offering an intuitive way of grouping multiple skills to a higher hierarchical abstraction.Our skill model is based on OPC UA Programs and modeled as an open source NodeSet. We hereby focus on the reusability of the skills for many different domains. The model is evaluated by controlling three different industrial robots and their tools through the same skill interface. The evaluation shows that our generic OPC UA skill model can be used as a standardized control interface for device and software components in industrial manufacturing. With our solution new components can easily be exchanged without changing the interface. This is not only true for industrial robots, but for any device which provides a controllable functionality.

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一种与硬件无关的机器人操作手和工具OPC UA技能模型

当前批量生产的趋势需要减少集成工作和易于生产线内可用设备的重用。这些设备必须提供统一的接口来满足这些需求。利用OPC UA的语义建模能力，提出了一种与硬件无关的技能模型。该模型为硬件或软件功能提供了一个标准化的接口，同时提供了一种将多种技能分组到更高层次抽象的直观方法。我们的技能模型基于OPC UA程序，并建模为开源的NodeSet。因此，我们将重点放在许多不同领域的技能的可重用性上。通过相同的技能界面控制三个不同的工业机器人及其工具，对模型进行了评估。评估结果表明，我们的通用OPC UA技能模型可以作为工业制造中设备和软件组件的标准化控制接口。使用我们的解决方案，无需更改接口即可轻松交换新组件。这不仅适用于工业机器人，也适用于任何提供可控功能的设备。

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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2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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