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Disruptive data visualization towards zero-defects diagnostics

机译:恢复缺陷诊断的破坏性数据可视化

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摘要

Innovative processes become available due to the high processing capacity of emergent infrastructures, such as cloud and ubiquitous computing and organizational infrastructures and applications. However, these intense computation processes are difficult to follow, where co-decision is required, for which the existence of disruptive visualization and collaboration tools that offer a visual tracing capacity with integrated decision supporting tools, are critical for its sustainable success.This project proposes: a) a set of immersive and disruptive visualization tools, supported by virtual and augmented reality, that enables a global perspective of any production agents; b) a data analytics tool to complement and assist the decision making; c) a resource federated network that allows the brokering and interaction between all existing resources; and d) a dynamic context-aware dashboard, to improve the overall productive process and contribute to intelligent manufacturing systems.The application domain addressed is Zero-Defects Diagnostics in manufacturing as well as in Industry 4.0 in general.
机译:由于云和普遍存在的计算和组织基础设施和应用程序,创新过程是由于高处理能力的高处理能力,如云和无处不在的计算和组织基础设施和应用程序。然而,这些强烈的计算过程难以遵循,其中需要共同决定,其中存在具有集成决策支持工具的可视追踪容量的中断可视化和协作工具的存在对其可持续成功至关重要。本项目提出:a)一系列的沉浸式和破坏性可视化工具,由虚拟和增强现实支持,可实现任何生产代理的全球视角; b)数据分析工具以补充和协助决策; c)资源联合网络,允许所有现有资源之间的经纪和交互;而d)动态上下文感知的仪表板,以改善整体生产过程,并贡献智能制造系统。所解决的应用程序域是零缺于制造业的诊断以及工业4.0中的诊断。

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