Purpose

In manufacturing environments, mobile radio frequency identification (RFID) robots need to quickly identify and collect various types of passive tag and active tag sensor data. The purpose of this paper is to design a robot system compatible with ultra high frequency (UHF) band passive and active RFID applications and to propose a new anti-collision protocol to improve identification efficiency for active tag data collection.

Design/methodology/approach

A new UHF RFID robot system based on a cloud platform is designed and verified. For the active RFID system, a grouping reservation–based anti-collision algorithm is proposed in which an inventory round is divided into reservation period and polling period. The reservation period is divided into multiple sub-slots. Grouped tags complete sub-slot by randomly transmitting a short reservation frame. Then, in the polling period, the reader accesses each tag by polling. When tags’ reply collision occurs, the reader tries to re-query collided tags once, and the pre-reply tags avoid collisions through random back-off and channel activity detection.

Findings

The proposed algorithm achieves a maximum theoretical system throughput of about 0.94, and very few tag data frame transmissions overhead. The capture effect and channel activity detection in physical layer can effectively improve system throughput and reduce tag data transmission.

Originality/value

In this paper, the authors design and verify the UHF band passive and active hybrid RFID robot architecture based on cloud collaboration. And, the proposed anti-collision algorithm would improve active tag data collection speed and reduce tag transmission overhead in complex manufacturing environments.

中文翻译：

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制造环境中的移动RFID机器人的快速标签识别

目的

在制造环境中，移动射频识别（RFID）机器人需要快速识别和收集各种类型的无源标签和有源标签传感器数据。本文的目的是设计一种与超高频（UHF）波段无源和有源RFID应用程序兼容的机器人系统，并提出一种新的防冲突协议，以提高有源标签数据收集的识别效率。

设计/方法/方法

设计并验证了一种新的基于云平台的UHF RFID机器人系统。对于有源RFID系统，提出了一种基于分组预约的防冲突算法，该算法将库存周期分为预约期和轮询期。预留时段被划分为多个子时隙。分组的标签通过随机发送短保留帧来完成子时隙。然后，在轮询期间，读取器通过轮询访问每个标签。当标签发生回复冲突时，阅读器会尝试重新查询冲突的标签一次，而预回复标签会通过随机退避和通道活动检测来避免冲突。

发现

所提出的算法实现了约0.94的最大理论系统吞吐量，并且标签数据帧传输的开销很小。物理层的捕获效果和通道活动检测可以有效提高系统吞吐量，减少标签数据传输。

创意/价值

在本文中，作者设计和验证了基于云协作的UHF波段无源和有源混合RFID机器人体系结构。并且，所提出的防冲突算法将提高主动标签数据的收集速度，并减少复杂制造环境中标签传输的开销。