水泥散装无人值守系统数据管理

数据的实时性、准确性、全面性和灵活性是水泥散装无人值守高效、稳定、可靠运行的保证。本文主要以某水泥集团散装技改为例,讨论散装无人值守系统中运用的技术手段和对数据的管理。     

Embedded devices for supply chain applications: Towards hardware integration of disparate technologies

The emergence of the RFID technology and its application to supply chain processes has in particular led to the creation of such standards as the EPCglobal’s model of supply networks as a tool for materializing intra- and inter-enterprise visibility of resources and products, collaboration and integration. Among other critical uses, RFID has been deployed by supply networks to improve asset utilization, effectively combat counterfeiting, and advance targeted product recalls. However, new affordable and deployable technologies and microsensors have recently appeared and keep maturing. This paper discusses the needs and the possibilities that exist for leveraging these technologies and sensors with RFID to guarantee continuous and seamless visibility of all assets (fixed and mobile resources and field personnel) of smart enterprises, thereby expanding and complementing the roles of RFID. It examines the design challenges for the integration of these technologies for advanced logistics operations at the level of product classes or their instances. It then outlines our development of an embedded microsystem that combines RFID, GPRS, GPS and environmental sensors for applications in logistics. The prototyped microsystem demonstrated the feasibility of the multi-sensor integration paradigm that the paper proposes.     

自适应天线匹配低频RFID读写器设计

在工业现场、野外甚至水中,RFID读写器天线电特性参数将发生改变,导致阻抗不匹配和发射功率大幅下降,最终降低RFID读写器读写范围和效率。为了解决这个问题,构建了一个自适应天线匹配RFID读写器系统,该系统在基本读写器系统上增加了自适应电容匹配矩阵、正弦波均方根检测和模/数转换器。该系统通过依次配置电容矩阵,扫描天线发射信号幅度,检测出最佳匹配电容,实现天线阻抗的最佳匹配。通过实验表明,在一定范围内该系统能够实现自动的阻抗匹配,获取最大发射功率。     

基于RFID的虚拟标签算法研究与改进

针对室内定位算法VIRE的定位精度,特别是邻近边界目标的定位精度较低的问题,以RFID标签定位为研究基础,从改变VIRE算法中虚拟标签的插值方式和在边界上加入虚拟标签两个方面进行研究和改进。使用拉格朗日插值代替VIRE算法中的线性插值方式,使虚拟标签的数据更加接近实际环境值;在边界上加入虚拟参考标签能增加已知标签数,防止在计算待定位标签坐标时引入误差标签。实验结果表明,标签定位精度有了明显提高,整体能提高了35%,邻近边界标签定位精度提高较大,可达到50%以上。     

A genetic tango attack against the David–Prasad RFID ultra‐lightweight authentication protocol

Radio frequency identification (RFID) is a powerful technology that enables wireless information storage and control in an economical way. These properties have generated a wide range of applications in different areas. Due to economic and technological constrains, RFID devices are seriously limited, having small or even tiny computational capabilities. This issue is particularly challenging from the security point of view. Security protocols in RFID environments have to deal with strong computational limitations, and classical protocols cannot be used in this context. There have been several attempts to overcome these limitations in the form of new lightweight security protocols designed to be used in very constrained (sometimes called ultra‐lightweight) RFID environments. One of these proposals is the David–Prasad ultra‐lightweight authentication protocol. This protocol was successfully attacked using a cryptanalysis technique named Tango attack. The capacity of the attack depends on a set of boolean approximations. In this paper, we present an enhanced version of the Tango attack, named Genetic Tango attack, that uses Genetic Programming to design those approximations, easing the generation of automatic cryptanalysis and improving its power compared to a manually designed attack. Experimental results are given to illustrate the effectiveness of this new attack.     

基于多决策树的RFID入侵检测模型

为了能够有效对RFID系统的已知攻击和未知攻击进行检测和预警,在分析大量RFID安全协议的基础上,提出了利用构建多决策树的方法对RFID系统的入侵行为进行检测。通过分析,得到所构造出的多决策树能够发现针对RFID系统的攻击之间的关系,并且具有可扩展性和高效性,使之能够适用于各种实际的RFID系统的应用。     

基于先验知识的自适应多叉树防碰撞算法

为提高无线射频识别(RFID)系统快速识别大量标签的能力,提出一种基于先验知识的自适应多叉树防碰撞算法。利用标签访问的规律性和标签分布的随机性,在不同的搜索深度,根据已有的先验知识和碰撞比特信息估计待识别的标签数量,从而动态地自适应选择搜索叉树。通过有效减少碰撞和空闲时隙数,大幅提高读写器搜索和识别标签的能力。理论分析与仿真实验结果表明,该算法能克服传统自适应多叉树防碰撞算法的缺点,合理选择初始搜索叉树,尤其在待识别标签数量较多的场合,可有效提高RFID系统的吞吐率。     

一种分段抽取RFID标签防碰撞算法

无线识别技术由于实现成本较低且能够有效简化货物的识别过程而受到各行业的关注。无线识别技术需要从大量的标签中迅速、准确地获取标签信息。由于扫描时间成本和标签成本的限制,无法避免扫描过程中多个标签信息碰撞的发生。以基于树的查询系列算法为代表的确定性防碰撞算法因可靠性高而获得大量应用。但是,这些算法的标签识别时间较长同时识别的总通信量较大。提出一种分段抽取的防碰撞算法。理论分析与仿真表明,该算法与已有典型确定性算法相比,具有更低的标签识别时间和更少的总通信量。     

柔性标签弯曲及对RFID系统识读距离的影响研究

针对平面结构标签在使用过程中经常发生弯曲形变的问题,研究一种柔性标签发生圆弧形弯曲和垂直折叠形变时天线性能的变化以及对RFID系统识读距离的影响。介绍柔性标签天线的研究现状,分析影响RFID系统识读距离的关键因素,通过示意图阐述弯曲天线模型的建模方法,基于HFSS仿真分析阻抗、增益和辐射效率等的变化规律。通过实际测量验证了RFID系统识读距离的仿真结果及该方法的可行性。     

基于射频技术的智能清洁管理系统研究

针对当前城市清洁工出现无效劳动且管理不便的问题,提出并开发了一套基于无线射频识别技术和超声波传感器技术的垃圾桶智能化管理系统。该系统通过超声波传感器自动检测垃圾桶,实现对每个垃圾桶的监控与管理。并通过RFID技术以及3G通信技术,对存储清洁工信息的电子标签进行识别,及时通知清洁工处理。由于本系统实现了城市环境智能检测、及时处理垃圾、方便工作监督的效果,因而具有较高的应用价值。