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关键词： 社区体育   全民健身   人群计数   共享体育   射频识别  

摘要： 为了提高社区体育资源的普及利用率,满足社区居民的体育锻炼需求,提出了一项智能化社区体育资源信息平台的框架设计。该设计重点应用了物联网相关技术和较前沿的“人群计数”技术,能有效地推进人工智能和实体经济的融合。以自顶向下的方式剖析该设计:通过分析用户人群的运动类需求,设计体育场所人群计数系统、共享体育器材柜及锻炼方案定制、交流平台等功能,确定结构模式,阐释实现逻辑与细节,针对“人群计数”“射频识别”等关键开发技术进行深层次的分析与介绍,为智能化社区体育资源信息平台的构建提供参考意见。

关键词： RFID技术   整车物流   物流管理   信息系统  

摘要： 基于对RFID系统组成以及工作原理的分析,明确以RFID技术为支持的整车物流管理系统需求,进一步地,从系统整体架构、功能模块以及技术架构三个方面展开,对整车物流系统的设计与实现展开研究,对于整车物流管理操作效率的提升以及运作成本的降低具有积极意义。

关键词： 胶印方式   智能标签   RFID/NFC/RF标签  

摘要： 高效率、低成本的印制加工手段是现代制造业生产RFID/NFC/RF标签、智能标签、包装、传感器等的关键要素。以往RFID速发标签等智能标签多由网版印刷加工而成,随着工艺进步,胶印技术在智能包装制造、RFID/NFC/RF标签和智能标签生产中的应用越来越多。

关键词： RFID阅读器   双频带   小型化   微带天线  

摘要： RFID阅读器的天线设计直接决定了阅读器的性能。采用单层FR4介质基板,设计一种双频RFID阅读器天线,通过在辐射贴片中间刻蚀1个四角星和4个边分别刻蚀半个四角星,实现尺寸缩小以及双频的覆盖。通过仿真调试,天线的几何尺寸为68 mm×68 mm×1.6 mm。通过加工与实测,天线的工作频段为0.920~0.935 GHz和2.40~2.51 GHz,相对阻抗带宽分别为1.73%和4.49%,在工作频段内有良好的辐射特性,能够满足手持式RFID阅读器天线低成本小型化的要求。

关键词： VMI供应链管理   供应链金融   区块链  

摘要： 装备制造业作为国民经济提供技术的战略性行业,专业设备的设计生产需要与众多供应商合作,特别是信息化的供应链管理成为了其重点关注的管理手段。因此,数字化时代下,装备制造业形成数字化供应链联盟的整体优势,是提升综合竞争力的发展趋势。基于VMI同一协议下,以RFID物联网仓库建设与区块链部署,搭建起物流、商流、信息流和资金流四流合一的供应链平台,进一步结合COVID-19疫情的影响,为构架装备制造业供应链平台以及区块链供应链金融的实施提出切实可行的建议与优化路径。

关键词： RFID标签   导电油墨   油墨印刷   单位成本   自适应的   华盛顿大学   商用化  

摘要： 来自迪斯尼(Disney)、华盛顿大学(***)以及卡内基梅隆大学(Carnegie Mellon University)的研究人员利用价格低廉、免电池的射频辨识.(RFID)标签以及导电油墨,在简单的纸张上实现互动性。目前,商用化的RFID标签贴纸是由入射RF能量供电,因此无需使用电池,而且其单位成本仅10美分。将这种低成本的RFID贴附在纸张上,就能让使用者以导电油墨作画,并随心所欲地刻制出自己的标签。此外,天线可以使用银奈米粒子油墨印刷,让这种自适应的纸能够与局域运算资源互动。

关键词： Location awareness   Radiofrequency identification   Antennas   Industries   Synthetic aperture radar   Mobile robots   Estimation   Industry 4   0   mobile robot   phase unwrapping   radio frequency identification (RFID) localization   tag localization   warehouse logistics  

摘要： The use of radio frequency identification (RFID) technology for the traceability of products throughout the production chain, warehouse management, and the retail network is spreading in the last years, especially in those industries in line with the concept of Industry 4.0. The last decade has seen the development of increasingly precise and high-performance methods for the localization of goods. This work proposes a reliable 2-D localization methodology that is faster and provides a competitive accuracy, concerning the state-of-the-art techniques. The proposed method leverages a phase-distance model and exploits the synthetic aperture approach and unwrapping techniques for facing phase ambiguity and multipath phenomena. Trilateration applied on consecutive phase readings allows finding hyperbolae as the localization solution space. Analytic calculus is used to compute intersections among the conics that estimate the tag position. An algorithm computes intersections quality to select the best estimation. Experimental tests are conducted to assess the quality of the proposed strategy. A mobile robot equipped with a reader antenna localizes in 2-D the tags placed in an indoor scenario and reconstructs the map of the environment through a simultaneous localization and mapping (SLAM) algorithm.

关键词： RFID   Anti-collision   BSS   ICA   Underdetermined NMF  

摘要： Radio Frequency Identification (RFID) has been one of the critical technologies of the Internet of Things (IoT). With the rapid development of the IoT, the RFID systems are required to be more efficient and with high throughput capacity. In the widespread IoT application scenes, the collision problem of the RFID tags has become the increasingly remarkable problem in RFID systems. Traditionally, the anti-collision algorithms of RFID systems are always based on time division multiple access (TDMA). Although the TDMA based anti-collision algorithms are simple and easy to implement, it often misses tags and costs high time. Afterwards, the anti-collision algorithms based on blind source separation (BSS) have been introduced. These BSS based anti-collision algorithms are more efficient and stable, but they are mostly suitable for the determined or overdetermined case, i.e., the number of tags is less than that of the readers in RFID systems. Only a few anti-collision algorithms are taken into account of the underdetermined collision model. Because this underdetermined RFID collision model will give rise to more difficult solution but with very meaningfully practical IoT applications. Therefore, to investigate high quality underdetermined anti-collision algorithm for RFID system plays an important role in improving the efficiency of RFID system, and enable RFID implement more wide applications in future IoT systems. As a motivation, this paper proposes a new anti-collision algorithm for underdetermined RFID mixed system for performance improvement. In this work, the nonnegative matrix factorization (NMF) with minimum correlation and minimum volume constrains, i.e., the new MCV_NMF algorithm is proposed for anti-collision application in underdetermined RFID systems. This algorithm combines the independent principle of the tag signals with the NMF mechanism to achieve performance enhancement. The experimental results and analysis corroborate that this new algorithm can impl

关键词： Industrialized building construction   Prefabricated construction   Production time   Time prediction   RFID   Machine learning  

摘要： Industrialized building construction is an approach that integrates manufacturing techniques into construction projects to achieve improved quality, shortened project duration, and enhanced schedule predictability. Time savings result from concurrently carrying out factory operations and site preparation activities. In an industrialized building construction factory, the accurate prediction of production cycle time is crucial to reap the advantage of improved schedule predictability leading to enhanced production planning and control. With the large amount of data being generated as part of the daily operations within such a factory, the present study proposes a machine learning approach to accurately estimate production time using (1) the physical characteristics of building components, (2) the real-time tracking data gathered using a radio frequency identification system, and (3) a set of engineered features constructed to capture the real-time loading conditions of the job shop. The results show a mean absolute percentage error and correlation coefficient of 11% and 0.80, respectively, between the actual and predicted values when using random forest models. The results confirm the significant effects of including shop utilization features in model training and suggest that predicting production time can be reasonably achieved.

关键词： RFID   textronics   home appliance   washing machine  

摘要： Modern textronic RFID transponders offer a lot of new possibilities for household appliances designers. Possibility to implement new functions is most evident in clothes washing and ironing techniques, where the information stored in the memory of the RFID transponder sewn into the textiles can be used to choose the most appropriate ironing program for a given type of fabric or to select the best washing program for different clothes placed in a drum of washing machine. The purpose of the work was to propose, design, and develop a laboratory stand to demonstrate usage of RFIDtex transponders in a washing machine. The developed device enabled simulation of the presence of textiles equipped with RFIDtex transponders in a washing machine drum. A set of measurements of the constructed device readout efficiency of textronic transponders placed in the drum was also performed. The device firmware, which manages multiple data readings from tags inside the drum for the performed by integrated RWD (read/write device), was also prepared and implemented. This allowed the efficiency of the identification of textiles equipped with RFIDtex transponders to be increased. RFIDtex transponders can also be used in the future to provide precise information about textiles to the washing machine. Based on this information, device will be able to reduce power consumption.