A Frame Breaking Based Hybrid Algorithm for UHF RFID Anti-Collision

Multi-tag collision imposes a vital detrimental effect on reading performance of an RFID system. In order to ameliorate such collision problem and to improve the reading performance, this paper proposes an efficient tag identification algorithm termed as the Enhanced Adaptive Tree Slotted Aloha (EATSA). The key novelty of EATSA is to identify the tags using grouping strategy. Specifically, the whole tag set is divided into groups by a frame of size F. In cases multiple tags fall into a group, the tags of the group are recognized by the improved binary splitting (IBS) method whereas the rest tags are waiting in the pipeline. In addition, an early observation mechanism is introduced to update the frame size to an optimum value fitting the number of tags. Theoretical analysis and simulation results show that the system throughput of our proposed algorithm can reach as much as 0.46, outperforming the prior Aloha-based protocols.     

基于RFID智能感知摄像机的溯源系统

近年来,食品安全案件屡有发生,亟需采用透明、安全、可信的食品安全溯源系统。然而现有的溯源系统高额的视频监测储存和传输费用,限制了溯源平台的推广。设计基于RFID具备联动功能的智能感知摄像机,采用自修复机制改进基于RFID的LANDMARC定位算法,精准定位每一只牲畜的活动区域;利用联动摄像头定量采集牲畜活动信息,建立牲畜活动信息;通过GPRS将采集的照片上传到服务器,极大降低视频存储和传输成本。同时将摄像头的功耗降到最低,使其能在野外用太阳能板为系统供电。用户可以通过扫描二维码查询牲畜档案信息,极大降低绿色健康畜产品溯源成本,推动溯源系统的广泛应用。     

基于物联网无线射频技术的进口葡萄酒安全监管溯源系统设计

本文是基于物联网（RFID）技术，分别通过业务功能设计、框架设计、流程设计和系统应用，构建了一套进口葡萄酒溯源体系，实现了进口葡萄酒从葡萄庄园，葡萄酒酿造者，运输用酒桶，灌装或包装，进出口检验检疫监管、口岸中转、通关、配送等的全过程信息采集、记录和整理，实现了严密监管与源头可溯，能与国际食品安全监管追溯体系接轨，为葡萄酒全溯源提供技术支持。本研究将物联网技术应用于进口葡萄酒行业，借助其提供的数据信息，服务于葡萄原料种植企业、生产企业、流通企业、监管部门和消费者，对加快通关和葡萄酒全供应链溯源监均都具有一定意义。     

Research on the identification performance of UHF RFID system considering the correlation of cascaded channel

The identification rate of UHF RFID system was restricted by multipath propagation effects.The system identification performance was studied considering the correlation coefficient between forward and reverse channels.Based on the generalized Rician fading channel model,the analytical expression of identification rate was derived under independent,full correlation and correlation cases.Compared with the existing analysis,the proposed uniform calculation formula of identification rate was for any correlation coefficient and kinds of channel conditions.The numerical computation and Monte-carlo simulations show that the influences of different correlation coefficients,channel conditions,sensitivity and distance on the identification rate.     

Elliptical slot based polarization insensitive compact and flexible chipless RFID tag

A miniaturized, polarization insensitive, and fully passive chipless radio frequency identification tag is proposed in this research article. The realized tag is based on slotted elliptical structures in a nested loop fashion with identical lengths and widths of slot resonators. Alteration of data sequence is accomplished by addition and elimination of nested resonators in the geometric structure. The tag is capable to encode 10 bits of data and covers spectral range from 3.6 to 15.6 GHz. The formulated structure demonstrates polarization insensitive characteristic. The data encoding structure is analyzed and optimized for different substrates that are, Rogers RT/duroid/5880, Rogers RT/duroid/5870, and Taconic TLX‐0 over the miniaturized footprint of 22.8 × 16 mm². The presented tag is robust, novel, compact, and flexible exhibiting a stable response to impinging electromagnetic waves at various angles of incidence.     

基于RFID标签阵列的睡眠期间呼吸量连续监测系统

睡眠期间连续且准确的呼吸量监测有助于推断用户的睡眠阶段以及提供一些慢性疾病的线索。现有工作主要针对呼吸频率进行感知和监测,缺乏对呼吸量进行连续监测的手段。针对上述问题提出了一种基于商用无线射频识别(RFID)标签的无线感知用户睡眠期间呼吸量的系统——RF-SLEEP。RF-SLEEP通过阅读器连续收集附着在胸部表面的标签阵列返回的相位值及时间戳数据,计算出呼吸引起的胸部不同点的位移量,基于广义回归神经网络(GRNN)构建胸部不同点的位移量与呼吸量之间的关系模型,从而实现对用户睡眠期间呼吸量的评估。RF-SLEEP通过在用户肩膀处附着双参考标签,消除用户睡眠期间翻转身体对胸部位移计算造成的误差。实验结果表明,RFSLEEP对不同用户睡眠期间的呼吸量连续监测的平均精确度为92.49%。     

射频识别技术在钢管制造中的应用

介绍钢管管号识别方式,分析射频识别技术在钢管制作流程中的应用。分析认为:利用射频识别技术自动读取钢管管号,可以解决MES人工输入存在的输入错误、滞后等问题;射频识别设备具有远距离快速识别标签的特点,应用在钢管生产流程中可以最大限度地提高生产效率和准确性。射频识别技术应用近5年来,虽存在重复发卡、数据读取错误等问题,但通过技术和工艺调整,目前使用效果良好。     

基于RFID的远程物资管理系统

提出了基于RFID技术的远程物资管理系统,并对其进行分析与设计。     

RFID中间件技术在汽车装配线中的应用研究

针对现有汽车装配业的生产特点,分析了RFID中间件系统在装配线中的应用需求,构建了一套面向汽车装配线的RFID中间件应用系统架构,描述了RFID中间件的功用及典型结构。对整个装配线系统、RFID读写器管理、数据过滤及消息传送几大关键环节进行了详细的阐述。整个RFID中间件平台中采用JAVA技术开发。     

RFID技术在物料管理信息系统中的应用研究

描述了现代企业生产制造环境中使用RFID技术进行物料管理的重要性,给出了RFID的定义、系统组成及工作原理。应用软件工程方法进行了MMIS的功能和数据分析,设计了应用RFID技术的MMIS功能结构、软硬件架构、数据库E-R模型,给出了进行物料库存盘点模块的详细操作算法。实践结果表明,RFID技术应用于MMIS能显著提升物料识别的准确性,减少物料管理成本,提高员工的管理效率,对中小型制造企业构造智慧型物料管理系统提供了一定的理论与实践参考依据。