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关键词： 无线射频识别   生猪溯源   效益  

摘要： 动物产品质量追溯系统建设,可以提高产品市场竞争力,促进农业增效,农民收入,提升追溯企业知名度。实行动物及其产品标识与可追溯管理是有效解决动物卫生与动物产品安全问题的重要措施。详细介绍了生猪溯源系统信息网络及监管平台建设,分析了生猪溯源系统建设后的经济、社会效益。

关键词： 室内定位   射频识别   载波相位   扩展卡尔曼滤波  

摘要： 为解决现有超高频射频识别定位方法受室内环境干扰导致定位精度不高的问题,提出了一种基于跳频辅助的RFID载波相位室内扩展卡尔曼滤波(EKF)定位算法。利用跳频获取的虚拟大带宽进行距离粗估计以实现多径抑制,并通过多径抑制后的相位完成可靠双频点选择以及参数优化,最终采用EKF算法实现高精度快速定位。实验结果表明,所提算法平均定位误差为9.35 cm,定位解算实时性比传统的基于中国剩余定理(CRT)的解整周方法提高了近10倍。

关键词： 物联网   主设备   智慧管控   特高压  

摘要： 在特高压变电站的建设过程中,缺少一个从计划、生产、运输、安装、运维等全过程的主设备管理平台,无法对主设备各个阶段进行有效管理。构建了一种特高压变电站主设备全过程智慧管控平台,介绍了该平台的系统目标,给出了系统架构及技术框架,对无线射频技术、二维码扫描技术等关键技术进行了阐述,经工程应用表明,该平台实现了主设备及关键组成部分的生产制造、运输、现场安装、试验调试全过程质量环节管控,满足质量控制要点、全过程追溯要求。

关键词： 图书馆   RFID   应用影响  

摘要： RFID(射频识别)技术是一种凭借无线电讯号以非接触方式读写数据并识别特定目标的通信技术。其具有多目标识别、信号发射远、响应速度快、存储容量大、环境友好、耐用、安全等优点。RFID(射频识别)技术引入传统图书馆,改变了传统图书馆的管理模式,改变了图书馆员的角色职能,优化提升了图书馆的读者服务内涵和能力,强化提升了传统图书馆的服务功能。但RFID技术也还是不断完善发展中的新技术,其与物联网等技术的结合运用更是有着诱人的应用前景,其服务功能的拓展开发以及应用安全性仍是未来智能图书馆面临的挑战。

关键词： 仓储定位   RFID   Mesh组网   物联网  

摘要： 目前,仓储管理存在管理信息化程度低、数据采集方式落后、准确性低等问题,不利于物流业的长远发展。随着科技的发展,越来越多的新技术被应用到仓储自动化系统中。基于此,笔者结合仓储管理的实际情况和仓储内部空间的结构特征,提出基于射频识别技术(Radio Frequency Identification,RFID)和Mesh组网的仓储定位方法,以期为相关研究提供借鉴。

关键词： RFID   Doppler signal   Single peak detection   Radio frequency tomography technology   Tag array  

摘要： The protection laws of minors in various countries have clearly banned minors from smoking. However, due to various social factors and the psychological conditions of minors, smoking among minors cannot be effectively controlled. A typical example is that many countries ban smoking in public places, and many places have special smoking areas. Previous work designed wearable sensor devices or used wireless signals (e.g., WIFI and Bluetooth etc.) to identify smoking activities. System deployment and implementation are rarely considered in existing system application scenarios. Here, we show that we can use the backscatter signal of the passive RFID tag, combined with the improved radio frequency chromatographic imaging technology, to analyze the RSSI signal of the human smoking action. Therefore, the system is specially designed for application scenarios and can realize the height detection of minors and the recognition of smoking behavior. In the end, related comparative experiments were also carried out to verify the effectiveness and real-time performance of the system. Aiming at the classification problem of different age groups, this paper proposed to distinguish population categories and identify smoking behaviors by analyzing RSSI signals extracted from commercial readers. Finally, the validity and real-time performance of the system are verified by comparative experiments.

关键词： 室内定位   单站   RFID   载波相位   MUSIC  

摘要： 面向室内厘米级定位及单站定位技术难点,借助射频识别(Radio Frequency Identification,RFID)收发相位同步技术优势,建立基于跳频的多载波相位距离观测方程,计算各载波在不同整周下的链路距离,利用距离方差快速求解整周模糊度,提升整周求解的鲁棒性.利用跳频并改进多重信号分类(MUltiple SIgnal Classification,MUSIC)算法建立跳频测向求解模型,消除短距离测向不同天线来波方向不平行带来的误差,实现两天线短距离标签反射信号的精确测向.最后联合载波相位测距对双天线测向结果进行筛选,实现RFID标签的单站厘米级精确定位.通过测试验证,平均定位误差低于4 cm.

关键词： 种鸭   鸭腿病   RFID   体重   铝制翅号  

摘要： 为研究RFID电子标签在优化鸭育种生产流程中减少鸭腿病数量的潜能及个体识别的准确率,试验选择温氏白羽番鸭N101品系公鸭600只,随机分为2组,试验组出雏时佩戴电子标签,对照组佩戴铝制翅号,置于相同的环境下进行饲养,分别在35、49、63、77日龄完成个体称重并统计称重过程中出现腿病的鸭数量。结果显示:在35日龄称重后试验组和对照组腿病鸭只数量差异不显著(P>0.05),49日龄差异显著(P<0.05),63和77日龄差异极显著(P<0.01);77日龄时试验组和对照组体重差异显著(P<0.05)。研究表明,种鸭佩戴电子标签能够有效减少称重过程中出现腿病的鸭数量,并且能够提高个体识别准确率。

关键词： 种质库   区块链   RFID   物联网   电子围栏  

摘要： 分别对区块链、RFID、物联网、电子围栏等四种技术在种质库中的应用场景及其技术特性进行分析。结合种质库的应用场景,探讨区块链、RFID、物联网、电子围栏等4种技术与种质库运行管理相结合的模式,为提高种质库的信息化、智能化、平台化管理水平提供新思路。

关键词： RF sensing   RF imaging   RFID   deep learning   customer activity monitoring   browsing behavior   retail technology  

摘要： In this paper, we propose to use commercial off-the-shelf (COTS) monostatic RFID devices (i.e. which use a single antenna at a time for both transmitting and receiving RFID signals to and from the tags) to monitor browsing activity of customers in front of display items in places such as retail stores. To this end, we propose TagSee, a multi-person imaging system based on monostatic RFID imaging. TagSee is based on the insight that when customers are browsing the items on a shelf, they stand between the tags deployed along the boundaries of the shelf and the reader, which changes the multi-paths that the RFID signals travel along, and both the RSS and phase values of the RFID signals that the reader receives change. Based on these variations observed by the reader, TagSee constructs a coarse grained image of the customers. Afterwards, TagSee identifies the items that are being browsed by the customers by analyzing the constructed images. The key novelty of this paper is on achieving browsing behavior monitoring of multiple customers in front of display items by constructing coarse grained images via robust, analytical model-driven deep learning based, RFID imaging. To achieve this, we first mathematically formulate the problemof imaging humans using monostatic RFID devices and derive an approximate analytical imaging model that correlates the variations caused by human obstructions in the RFID signals. Based on this model, we then develop a deep learning framework to robustly image customers with high accuracy. We implement TagSee scheme using a Impinj Speedway R420 reader and SMARTRAC DogBone RFID tags. TagSee can achieve a TPR of more than similar to 90% and a FPR of less than similar to 10% in multi-person scenarios using training data from just 3-4 users.