船舶在进行物资储运过程中,受物资类别与数量较大影响,对物资定位以及详细信息管理难度较大,为此研究RFID技术在船舶物资储运识别中的应用方法。该方法建立基于RFID技术的船舶物资储运识别技术框架,在该技术框架内,将RFID电子标签粘贴到船舶和物资上,利用RFID阅读器收集船舶物资RFID标签信号强度,再使用矢量形式描述待识别船舶物资信号强度与读写器采集到的船舶物资RFID标签信号强度,通过选择参考标签,计算参考标签与待识别船舶物资RFID标签欧几里德距离方式,获得待识别船舶物资位置,并通过二次加权方式对该位置进行修正,识别出船舶物资在储运过程中的位置。实验表明,该方法可有效识别船舶物资在储运过程中的位置,并对其位置误差进行有效修正,具备较好的应用效果。
During the process of material storage and transportation, ships are greatly affected by the type and quantity of materials, making it difficult to locate and manage detailed information. Therefore, this article studies the application method of RFID technology in the identification of ship material storage and transportation. This method establishes a ship material storage and transportation identification technology framework based on RFID technology. Within this technology framework, RFID electronic tags are pasted onto the ship and materials, and the RFID tag signal strength of the materials is collected and propagated using an RFID reader. Then, vector form is used to describe the signal strength of the identified ship material and the RFID tag signal strength of the ship material collected by the reader. After selecting a reference tag, Calculate the Euclidean distance between the reference label and the RFID label of the vessel's materials to be identified, obtain the location of the vessel's materials to be identified, and correct the location through a quadratic weighting method to obtain the position recognition of the vessel's materials during storage and transportation. The experiment shows that this method can effectively identify the position of ship materials during storage and transportation, and effectively correct their position errors, with good application results.
2023,45(24): 184-187 收稿日期:2023-06-11
DOI:10.3404/j.issn.1672-7649.2023.24.034
分类号:TP391
基金项目:江西省教育厅科学技术研究项目(GJJ218410)
作者简介:罗玲玲(1982-),女,硕士,讲师,研究方向为物流管理
参考文献:
[1] 李虎. 交通行业碳达峰愿景下电动船舶的发展[J]. 船舶工程, 2022, 44(11): 76-78,161.
LI Hu. Development of electric ship under the vision of carbon peak in transportation industry[J]. Ship Engineering, 2022, 44(11): 76-78,161.
[2] 王列辉, 陈萍, 张楠翌. 全球航运服务业的空间分布差异研究[J]. 地理学报, 2023, 78(4): 913-929.
WANG Liehui, CHEN Ping, ZHANG Nanyi . Spatial pattern and influencing factors of shipping service industry[J]. Acta Geographica Sinica, 2023, 78(4): 913-929.
[3] 臧俊斌, 白洋. 基于RFID二次认证加密的智能识别系统设计[J]. 电子技术应用, 2021, 47(6): 77-81.
ZANG Junbin, BAI Yang. Design of twice authentication and encryption intelligent recognition system based on RFID[J]. Application of Electronic Technique, 2021, 47(6): 77-81.
[4] 郭凯敏, 谢鑫, 马一杰, 等. 大规模RFID系统中未知标签的快速可靠识别[J]. 计算机工程, 2023, 49(3): 192-202.
GUO Kaimin, XIE Xin, MA Yijie, et al. Fast and reliable unknown tag identification for large-scale RFID system[J]. Computer Engineering, 2023, 49(3): 192-202.
[5] 谢跃雷, 邓涵方. 基于改进ResNet的射频指纹识别方法[J]. 电讯技术, 2022, 62(4): 416-423.
XIE Yuelei, DENG Hanfang. A radio frequency fingerprinting identification method based on improved ResNet[J]. Telecommunication Engineering, 2022, 62(4): 416-423.
[6] 王智鹏, 乔记平, 刘儒平, 等. 基于LabVIEW的UHF RFID射频识别系统的设计[J]. 电测与仪表, 2021, 58(1): 196-200.
WANG Zhipeng, QIAO Jiping, LIU Ruping, et al. Design of UHF RFID radio frequency identification system based on LabVIEW [J]. Electrical Measurement & Instrumentation, 2021, 58(1): 196-200.