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关键词： Sensors   Sensor phenomena and characterization   Wireless sensor networks   Wireless communication   Couplings   Monitoring   Intelligent sensors   Substrates   Resonators   Sensitivity   Displacement sensor   electromagnetically induced transparency (EIT)   radio frequency identification (RFID)   sensitivity   wireless passive  

摘要： In this work, a wireless passive high-sensitivity displacement sensor operated in the ultrahigh-frequency (UHF) radio frequency identification (RFID) band is proposed for displacement monitoring. The sensor is designed based on the principle of electromagnetically induced transparency (EIT)-like effect, the strip dipole (SD) rendering a bright mode, and a pair of U-shaped ring resonators (USRRs) producing a dark mode. The coupling between these two modes is extremely sensitive to micro displacement, enabling high-sensitivity displacement detection. The bright mode can directly capture the electromagnetic wave energy emitted by the RFID reader antenna and activate the RFID tag chip, enabling passive sensing. The resonant characteristics within the threshold power to activate the tag are utilized for displacement characterization, ensuring reliable wireless measurement. The proposed wireless passive displacement sensor has undergone simulation and experimental validation. The results indicate that the prototype sensor is capable of detecting displacement variations as small as 0.01 mm, consistently achieving deep submillimeter resolution, and demonstrating a detection sensitivity of 110 MHz/mm.

关键词： RFID技术   二维码   智能安防   物联网   多模态感知   深度学习   专用通信网络  

摘要： 针对山区、丛林等特殊地形环境下非制式车辆及人员的识别管理难题,本研究提出了一种融合光学二维码识别与物联网RFID技术的智能安防管理系统解决方案。通过构建多模态感知体系,实现全天候、全场景的目标识别与轨迹追踪。系统采用深度学习算法优化二维码识别准确率,结合RFID技术实现标签防伪校验,通过专用4G传输网络构建端到端安全通信链路,最终形成集信息采集、智能识别、数据校验、轨迹追溯于一体的完整解决方案。实验数据表明,系统在复杂环境下的识别准确率达98.7%,防伪校验响应时间小于200 ms,显著提升了特殊区域的安防管理效能。

关键词： Industrial internet of things (I-IoT)   Radio frequency identification (RFID)   Production system   Manufacturing big data analytics  

摘要： With the rapid development of artificial intelligence (AI), the demand for data has been surging. More attention has been paid to data in their daily processes, such as the production processes. Deployed in manufacturing sites to control and monitor processes, the Internet of Things (IoT) technology specifically radio frequency identification (RFID) in industrial settings has shown its potential as a data collection approach. However, the data collected by the RFID suffers from several challenges such as duplication, missing data, etc. Therefore, this paper focuses on the development of a data processing framework for addressing the challenges. The framework will process real RFID-captured production data from an IoT-enabled manufacturing shop floor with three functionalities: data pre-processing, outlier detection, and big data analytics. For anomaly detection, this framework deals with the passing rate of different production processes with a detection model, which can be used to flag abnormal production cases to facilitate the quality control process. The flagged abnormal production cases will be generalized during big data analytics to investigate the reason behind underperformance.

关键词： 自动化信息管理系统   RFID技术   涂料仓库   系统开发  

摘要： 文章聚焦于涂料仓库自动化信息管理系统,详细阐述了其设计和研发过程。该系统采用“云、边、端”架构,结合RFID无线射频技术,对涂料的入库、出库、库存等环节进行全流程监控,旨在解决涂料仓库管理强度大、成本高以及人工记录易出错等问题。经测试,系统在退料流程、温湿度监测等方面表现良好,为提升涂料仓库管理效率和精细化水平提供了有效的解决方案,推动了仓库管理的智能化发展。

关键词： 超声波检测   ZigBee   RFID   5G网络   实时监控   数据分析  

摘要： 文中设计了基于ZigBee的智能养羊系统,旨在提升羊群养殖管理的效率和精度,降低疾病传播风险。该系统通过智能传感器和数据分析系统,实时监控羊群的健康状况与养殖环境,并在检测到异常时及时发出预警。系统由现场检测、数据分析、监控和通信传输四大模块构成,养殖户可通过手机远程实时查看羊群的状态,进行有效管理。此外,系统集成了5G网络、RFID等先进技术,提供高效、安全的监测和管理手段,全面提升养殖效益,推动养羊业的可持续发展。

关键词： UHF RFID   Quadruped robotics   Warehouse management   Inventory tracking  

摘要： Efficient warehouse management relies on real-time inventory visibility, facilitating accurate tracking of stock levels, locations, and movements. Traditional inventory monitoring processes, typically manual or requiring extensive infrastructure, are not only labor-intensive and time-consuming but also prone to significant human error, resulting in operational inefficiencies and financial drawbacks. The integration of Ultra-High Frequency Radio Frequency Identification (UHF RFID) technology with robotic solutions presents an ongoing area of research attempting to address these challenges. Although RFID-based systems are becoming popular in inventory management, existing research primarily emphasizes Unmanned Aerial Vehicle (UAV) or wheeled unmanned ground vehicle (UGV) applications, with minimal focus on the utilization of legged robots, particularly in manufacturing settings. This study investigates the feasibility and performance of a robot dog equipped with a UHF RFID scanner for inventory mapping in a warehouse environment. A specialized robot dog platform SCOUT (Smart Canine Optimized for UHF Tracking) was designed and fitted with a UHF RFID reader and antenna, and deployed in a controlled factory setting to collect data on passively tagged inventory using a unique Received Signal Strength Indicator (RSSI) triangulation approach. The results indicated that the robot dog’s unique agility and adaptive movement capabilities enabled superior navigation of dynamic environments, potentially surpassing traditional methods and robotic systems. This innovative approach demonstrated the potential to transform inventory management, enhancing accuracy, cutting labor costs, and boosting overall warehouse productivity, laying a foundation for broader industry adoption of robotic inventory solutions with the addition of only a singular UHF RFID sensor.

关键词： RFID射频识别   电力物资   EPC编码体系   管理系统  

摘要： 现有物资仓库管理系统主要通过物资数据之间的相似度,进行物资的聚类存储处理,由于缺乏对物资数据的降维处理,导致系统的管理效果不佳。对此,提出基于RFID射频识别技术的电力物资仓库管理系统。在硬件方面,采用无线射频读取器对电力物资标签数据中的货物信息进行读取,并基于C/S技术架构,对硬件结构进行设计。在软件方面,通过对EPC编码体系的编码规格进行设计,实现物资贴标以及识别处理。对物资标签数据的输出权重进行调整,从而降低标签数据的维度。分别对货物入库/出库以及货物盘点的具体流程进行设计,实现物资仓储管理。最终的测试结果表明,采用提出的系统对电力物资进行管理时,系统录入的物资数据与实际库存数据的贴近度较高,具备较为理想的管理性能。

关键词： 物联网   汽车实训室   RFID   设备管理系统  

摘要： 针对传统汽车实训室设备管理系统系统错误率高、定位误差过大等问题,设计基于物联网的汽车实训室设备管理系统。首先,设计汽车实训室设备管理系统总体框架;其次,通过物联网前端感知设备——射频识别(radio frequency identification,RFID)装置和电流传感器分别采集设备信息和电流信息;最后,通过物联网并发网络将信息传递到物联网终端服务器当中,利用服务器中的功能模块实现实训室资产在线管理、设备追踪定位以及设备状态监测。实验结果表明,系统应用下定位误差均在10 cm范围内,内存资源保持在5%以下,资源消耗缩小。当并发量在300次查询每秒(queries per second,QPS)下,系统错误率仅5.27%,系统运行状况极佳,系统性能有效提升。

关键词： 工业生产自动化   产品特征集   在线实时分拣   RFID自动化分拣   多尺度特征动态调整  

摘要： 随着工业生产自动化程度的不断提高,工业生产能力得到大幅提升,产品数量及种类也越来越多,人们迫切地希望能依据特定的产品特征,实现对产品在线实时分拣。这些特征很多情况下不是单一的诸如颜色、长度、重量等基本特征,特定的产品特征往往是根据用户或生产工艺要求制定的特征集,有些特征集还需要随着生产的进行动态调整。这给物料自动化分拣工作带来了很多困难,不仅特征识别难度提高,即便是下游的自动分拣设备也难于实现。针对下游自动分拣工序给出了一种基于RFID的自动分拣方法。该方法简单有效,能够适应多尺度特征分拣。

关键词： 船舶物资管理   数字化转型   物联网   人工智能   RFID技术  

摘要： 随着新一代信息技术的快速发展数字化转型已成为船舶物资管理领域的重要趋势。本文系统分析了物联网、人工智能、RFID等关键技术对船舶物资管理的影响机理,探讨了数字化转型在提升物资追踪精度、优化供应链协同、降低运营风险等方面的核心价值。研究表明,数字化技术通过构建实时数据链路与智能决策模型显著提升物资全生命周期管理的效率;同时多技术融合促进新型管理模式推动船舶物资管理向网络化、生态化方向发展。但高成本投入与数据安全隐患仍是制约转型深化的关键瓶颈需通过分阶段实施策略与安全体系建设予以应对。