飞机生产供应物流智能物料交付单元

Daniel Schoepflin , Julian Koch , Martin Gomse , Thorsten Schüppstuhl
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引用次数: 4

摘要

尽管最近有一些优势,但飞机生产的内部物流主要是手工完成的。缺失或错误加载的组件可能导致代价高昂的延迟。将配送单位转变为数字化物流链的智能参与者,有可能避免这种延误。在这项工作的范围内,我们提出了一个智能交付单元的概念,用于飞机生产现场的内部物流过程。它的主要功能是检测加载组件和材料,处理由预先存在的过程定义的各种识别原则。因此,我们将智能传感器板概念化。通过一种新颖的模块化结构,可以实现不同传感器类型的需求驱动设备。这包括基于人工智能的交付单元组件的视觉检测。我们通过基于低成本传感器的实际实施展示了我们概念的多功能性,并演示了我们的方法如何导致需求驱动的交付单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Material Delivery Unit for the Production Supplying Logistics of Aircraft

Despite recent advantages, internal logistics for aircraft production is mainly performed manually. Missing or wrongfully loaded components can cause costly delays. Transforming delivery units into smart participants of a digitalized logistic chain has the potential to avoid such delays. In the scope of this work, we present a concept of a smart delivery unit for use in intralogistic processes on aircraft production sites. Its main functionality, the detection of loaded components and material, handles a high variety of identification principles that are defined by pre-existing processes. We therefore conceptualize smart sensor boards. Through a novel modularity structure, demand-driven equipment of these boards with different sensor types can be achieved. This includes AI-based, visual detection of components on delivery units. We display the versatility of our concept with a practical implementation based on low-cost sensors and demonstrate how our approach leads to demand-driven delivery units.

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