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An Action Classification Method for Forklift Monitoring in Industry 4.0 Scenarios

机译:行业4.0场景中叉车监控的动作分类方法

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摘要

The I-READ 4.0 project is aimed at developing an integrated and autonomous Cyber-Physical System for automatic management of very large warehouses with a high-stock rotation index. Thanks to a network of Radio Frequency Identification (RFID) readers operating in the Ultra-High-Frequency (UHF) band, both fixed and mobile, it is possible to implement an efficient management of assets and forklifts operating in an indoor scenario. A key component to accomplish this goal is the UHF-RFID Smart Gate, which consists of a checkpoint infrastructure based on RFID technology to identify forklifts and their direction of transit. This paper presents the implementation of a UHF-RFID Smart Gate with a single reader antenna with asymmetrical deployment, thus allowing the correct action classification with reduced infrastructure complexity and cost. The action classification method exploits the signal phase backscattered by RFID tags placed on the forklifts. The performance and the method capabilities are demonstrated through an on-site demonstrator in a real warehouse.
机译:I-READ 4.0项目旨在开发一个集成和自主网络物理系统,用于自动管理非常大的仓库,具有高股旋转指数。由于在超高频(UHF)频段中操作的射频识别(RFID)读取器网络,两个固定和移动,可以在室内场景中实现在室内方案中运行的资产和叉车的有效管理。实现这一目标的关键组件是UHF-RFID智能门,其包括基于RFID技术的检查点基础设施,以识别叉车及其运输方向。本文介绍了具有不对称部署的单个读取器天线的UHF-RFID智能门,从而允许基础设施复杂性和成本降低的正确动作分类。动作分类方法利用放置在叉车上的RFID标签的信号相位反向散射。性能和方法功能是通过真实仓库中的现场演示。

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