无人机在仓储作业中支持产品安全识别应用中的不良事件分析

A. Tubis, A. Żurek
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引用次数: 0

摘要

目前观察到的工业4.0概念的发展导致了新技术的发展,这些新技术不仅支持智能因素中的生产过程,还支持包括仓库库存安全在内的物流过程。因此,物流4.0系统使用自动数据识别(条形码、RFID)和自动驾驶汽车。在文章中,特别关注了在物流过程中使用无人驾驶飞行器,并感谢在仓库存储操作中使用它们的安全性更高。它们特别用于重复或危险的操作,在这些操作中,人为因素应该受到限制。研究领域是使用无人机来支持与盘点相关的仓库操作。本文的目的是识别无人机任务执行过程中可能发生的不良事件,并根据所选择的分类标准对其进行分类。本文介绍了确定的主要不良事件及其原因。然后,根据它们对测量过程的每个阶段产生的影响对它们进行分类。作为讨论的一部分,提出了控制措施和良好做法,可以减少甚至消除未来已确定的不良事件的发生。在最后的结论中总结了所有的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adverse Event Analysis in the Application of Drones Supporting Safety and Identification of Products in Warehouse Storage Operations
The currently observed development of the Industry 4.0 concept causes the development of new technologies that support not only production processes in the smart factor, but also logistics processes including safety during warehouse inventories. For this reason, Logistics 4.0 systems use automatic data identification (barcodes, RFID) and autonomous vehicles. In the article, particular attention was paid to the use of unmanned aerial vehicles in logistic processes and thanks using them much higher level of safety during warehouse storage operations. They are used in particular for repetitive or hazardous operations where the human factor should be limited. The research area is the use of drones to support warehouse operations that are related to stock-taking. The aim of the article is to identify possible adverse events that may occur during the implementation of the drone mission and to classify them according to the selected classification criteria. The article presents the identified key adverse events and their causes. Then, they were classified based on the effects they generate for each stage of the measurement process. As part of the discussion, control measures and good practices were proposed that may reduce or even eliminate the occurrence of identified adverse events in the future. All the work was summarized in the final conclusions.
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