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关键词： 数字孪生   装配工时   装配车间   调度算法   射频识别  

摘要： 针对产品个性化定制过程中装配工时不确定、装配车间动态扰动频发问题,提出基于数字孪生的实时装配工时车间调度模型.构建基于数字孪生的装配车间调度整体架构,利用射频识别(Radio Frequency Identification,RFID)技术实时采集物理装配车间的工时数据,用改进的Rete算法进行实时装配工时处理.建立基于实时装配工时的装配车间调度数学模型,采用改进的人工鱼群−禁忌算法对模型求解,以实现实时装配工时车间的调度优化.实证结果表明,模型算法进行实时装配工时车间调度具有一定的可行性及优越性.

关键词： 工程教育认证   RFID技术   教学改革   物联网工程   创新思维培养  

摘要： 针对物联网工程专业多学科交叉融合、系统集成需求突出、创新型人才紧缺等问题,在工程教育认证思想指导下,重新设计核心课程——RFID技术课程教学改革体系。该体系从深挖毕业达成目标入手,定制化设计符合学校办学定位的课程教学目标;通过引入创新思维,优化基于成果为导向的教学内容;借助线上—线下混合教学平台有效提高学习效率,丰富阶段性过程评价和考核体系。两年教学实践证明,该课程改革方案行之有效。

关键词： 煤矿井下精确定位   通信式定位   RFID   ZigBee   UWB  

摘要： 煤矿智能化建设要求采用井下精确定位技术,实现井下人、车等目标的精确定位、人员状态分析、考勤、调度管理,满足井下复杂巷道的全覆盖需求。井下定位按定位机制可分为惯导定位和通信式定位,指出对矿井中数量众多的被定位目标进行定位,可行的技术是通信式定位技术,目前井下使用的通信式定位技术按定位精度从低到高依次是RFID、ZigBee和UWB技术。分析了井下精确定位原理,并结合在矿井人员定位系统、车辆及交通管理系统、井下物流管理系统、井下接近监测、远程/无人车辆驾驶/掘进/综采系统中的具体应用,指出各应用对井下精确定位系统的技术要求。

关键词： 管理平台   RFID   图像识别   IETM  

摘要： 电气系统综合匹配试验中设备、场地、数据的记录和管理依赖人工开展,易出现漏记、错记、管理混乱等问题,且纸质记录给试验过程追溯、试验数据分析等工作带来极大困难。为满足型号常态化高密度任务需求,进一步推动综合试验“高质量、高效率、高效益”实施,结合未来测试模式发展的必然趋势,从系统架构设计的角度对智慧管理平台进行阐述。整合射频识别(Radio Frequency Identification,RFID)、图像识别、交互式电子技术手册(Interactive Electronic Technical Manual,IETM)等技术手段搭建智慧管理平台,实现对实验室各要素的综合智能管理,使测试过程可追溯,保证试验的可靠性,提高测试效率,减少人工参与环节,释放人力资源。

关键词： RFID protocol   Internet of Healthcare Things   RFID authentication   IoT security  

摘要： Exploiting Radio Frequency Identification (RFID) technology in healthcare systems has become a common practice, as it ensures better patient care and safety. However, these systems are prone to security vulnerabilities that can jeopardize patient privacy and the secure management of patient credentials. This paper aims to advance state-of-the-art approaches by developing more secure and private RFID-based healthcare systems. More specifically, we propose a lightweight RFID protocol that safeguards patients' privacy in the Internet of Healthcare Things (IoHT) domain by utilizing pseudonyms instead of real IDs, thereby ensuring secure communication between tags and readers. The proposed protocol has undergone rigorous testing and has been proven to be secure against various security attacks. This article provides a comprehensive overview of how RFID technology is used in healthcare systems and benchmarks the challenges faced by these systems. Then, it reviews the existing RFID authentication protocols proposed for IoT-based healthcare systems in terms of their strengths, challenges, and limitations. To overcome the limitations of existing approaches, we proposed a protocol that addresses the anonymity and traceability issues in existing schemes. Furthermore, we demonstrated that our proposed protocol had a lower computational cost than existing protocols and ensured better security. Finally, our proposed lightweight RFID protocol ensured strong security against known attacks and protected patient privacy using pseudonyms instead of real IDs.

关键词： Chipless RFID tags   tracking   code density   biomass tracking  

摘要： The design of a low-cost, flexible, miniaturized, and a high code density chipless radio-frequency identification (RFID) tag is presented as a solution for tracking the transportation of biomass fuel pellets. The performance of the tag is presented and demonstrates the applicability of the design for different material systems, while maintaining a compact size of 5.06 cm(2). The tag consists of nested concentric hexagonal elements and a central spiral resonator suitable for ID encoding. The tag presented demonstrates code density of 3.6-bits/cm(2), possesses angular stability up to 60 degrees, and high radar cross section (RCS). The tag performance was also observed for tracking 5 kg of fly-ash biomass. Additionally, as the tag mass mostly consists of FR4, PET, or Taconic TLX-0 with a minute mass of either copper, gold, or silver, the tag can be easily combusted and disposed of during biomass combustion. The novel features of this tag are the combination of hexagonal and spiral shape slots for maximum space utilization thereby achieving high RCS signatures along with high code density. All these properties of the proposed chipless RFID tag provide a pioneering pathway for a real-time biomass tracking application.

关键词： UHF RFID   Viterbi   Miller code   Tag collision   Signal separation  

摘要： With the help of perception technologies such as Radio Frequency Identification (RFID), information interaction will expand from communication devices to various non-communication items in daily life, and the era of ubiquitous personal communication networks may come. In an Ultra High Frequency (UHF) RFID system, however, signal collision often occurs during multiple tags identification. The collision resolution across a Media Access Control (MAC) layer and a physical layer can significantly improve communication efficiency. As a delay code, Miller code is often used in the UHF RFID system. Because its baseband signal has more subcarriers, it has higher anti-noise performance. This paper adopt the cross-layer resolution and proposes a new collision separation and decoding algorithm for the Miller code of the RFID system. This algorithm separates the collision signal by clustering and dictionary matrix firstly, and then decode the separated signal by Viterbi method. In this simulation, we generate a set of simulation data to evaluate the proposed algorithm. The simulation results show that the separation efficiency of the proposed algorithm is about 25% higher than that of traditional methods. Furthermore, we evaluate the performance of the proposed algorithm in this measured data, and obtain 8% higher system throughput than a traditional dynamic ALOHA system.

关键词： RFID   voice eavesdropping   glasses   facial dynamics  

摘要： Eavesdropping on human voice is one of the most common but harmful threats to personal privacy. Glasses are in direct contact with human face, which could sense facial motions when users speak, so human speech contents could be inferred by sensing the movements of glasses. In this paper, we present a live voice eavesdropping method, RF-Mic, which utilizes common glasses attached with a low-cost RFID tag to sense subtle facial speech dynamics for inferring possible voice contents. When a user with a glasses, which is attached an RFID tag on the glass bridge, is speaking, RF-Mic first collects RF signals through forward propagation and backscattering. Then, body motion interference is eliminated from the collected RF signals through a proposed Conditional Denoising AutoEncoder (CDAE) network. Next, RF-Mic extracts three kinds of facial speech dynamic features (i.e., facial movements, bone-borne vibrations, and airborne vibrations) by designing three different deep-learning models. Based on the extracted features, a facial speech dynamics model is constructed for live voice eavesdropping. Extensive experiments in different real environments demonstrate that RF-Mic can achieve robust and accurate human live voice eavesdropping.

关键词： Radiological accidents   Radiation detection   UAV   RFID  

摘要： In crowded areas, several potential risks and accident scenarios should be evaluated, followed by proper emergency plans preparation. These plans include radiation emergencies in which population monitoring em-phasizes the identification, screening, measurement, and monitoring of populations for exposure to radiation or contamination from potential radioactive sources. The risk monitoring includes decontamination process for people evacuated due to a large-scale radiation accident. This paper proposed a framework that enables digital monitoring for a potential radiological accident in a crowded area and tracks the involved individuals' move-ment. This proposed system aims to mitigate the hazards arising from the spread of radiation contamination during potential accident scenarios. The suggested framework of digital monitoring of radiological risks (DMRR) consists of four subsystems: mobile radiation detectors, radiological impact assessment, navigation and tracking systems, and emergency procedures application. It is proposed that a mobile application could be supplied with a feature that can track potential risks due to radiation contamination incidents. This system will help to identify the affected group of people in a potential radiological accident and eases the activation of the emergency plans in the contaminated area.

关键词： Blockchain   Supply chain   Vendor managed inventory   RFID   Internet of things  

摘要： Blockchain has recently been associated to Supply Chain Management to solve several problems and change operations management processes. The study proposes to analyse three different scenarios of the Parmigiano Reggiano supply chain considering blockchain technology as an enabler for the use of other technologies such as RFID and the Internet of Things (IoT) and for the exploitation of the Vendor Managed Inventory (VMI) strategy. The study is based on the evaluation of three agent-based simulation scenarios, a traditional "as is" scenario, a second " to be" scenario implementing emerging technologies including blockchain, and a third "to be" scenario that combines the second one with the VMI optimization strategy. The results show how the combined adoption of these technologies improves the procurement process and customer satisfaction. Findings highlight the impacts that the different scenarios have on the supply chain operations in a quantitative way and allows to evaluate the changes in supply chain processes. By employing emerging technologies, order management activities are more automated and time to order and lead time order preparation are reduced. However, to achieve these performances, other data capture tools such as RFID and IoT are needed. Finally, the introduction of the VMI strategy, when enabled by blockchain technology, improves the procurement performances and significantly reduces unfilled orders.