在工业环境中使用空间抽象

Clemens Holzmann, A. Ferscha, M. Hechinger, Johannes Kepler, Andreas Zeidler, M. D. S. Rocha
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引用次数: 3

摘要

技术在几乎所有事物中的无形整合是普适计算和泛在计算研究的基础,它导致了大量分布在物理空间中的智能对象。它们应该自主运行,即尽可能少的人为干预,并以一种更含蓄的方式与人类互动。在这方面,空间属性和关系是重要的上下文信息,因为它们允许它们以语义上有意义的方式自动适应环境中的空间变化。我们提出了新的概念和框架,用于开发特定于应用领域的智能对象之间关系的定性抽象,并促进了空间感知应用的开发,并在四个工业应用场景中演示了它们的使用。
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Using Spatial Abstractions in Industrial Environments
The invisible integration of technology in literally everything, which is the fundamental of research on pervasive and ubiquitous computing, leads to huge quantities of smart objects which are distributed in physical space. They should operate autonomously, namely with as little human intervention as possible, and interact with humans in a more implicit way. Spatial properties and relations are important context information in this regard, as they allow them to automatically adapt to spatial changes in their environment in a semantically meaningful way. We propose novel concepts and a framework for exploiting qualitative abstractions of relationships between smart objects, which are specific to an application domain and facilitate the development of spatially-aware applications, and demonstrate their use with four industrial application scenarios.
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