面向物流工程的射频识别虚拟仿真实验的教学探索研究
2024-06-21蔡奇
蔡奇



摘 要:随着电子通信的发展和物联网的推广,射频识别(RFID)技术在物流行业有着重要的用途。RFID利用射频信号的空间耦合传输,通过非接触的方式识别目标、读取数据,可以用于物流管理、仓储分拣、安全监测、信息传递等场景。读写器是RFID系统中的关键装置,负责对电子标签进行读取或写入信息。在面向物流工程专业的RFID课程教学中,由于阅读器系统架构复杂、理论性强,使得学生对RFID读写器机制的理解存在困难。在RFID教学中引入射频EDA仿真软件,通过虚拟仿真实验直观展示RFID读写器的工作机理,加强学生的实践和创新能力。文章探索了结合物流行业开展RFID教学活动,通过引入基于虚拟仿真的实践教学环节,提升教学质量,为物流工程专业培养复合型高素质人才。
关键词:射频识别;物流;虚拟仿真实验;教学研究
中图分类号:F259.22;G642;TN925文献标志码:ADOI:10.13714/j.cnki.1002-3100.2024.10.032
Abstract: With the development of electronic communication and the promotion of the Internet of Things, Radio Frequency Identification (RFID) technology has important applications in the logistics industry. RFID utilizes the spatial coupling transmission of radio frequency signals to identify targets and read data in a non-contact manner. It can be used in scenarios such as logistics management, warehouse sorting, security monitoring and information transmission. The RFID reader is a key device in the RFID system to read or write information to tags. In the teaching of RFID courses for logistics engineering majors, due to the complex architecture and strong theoretical nature of RFID reader, it is difficult for students to understand the mechanism of RFID reader. Introducing radio frequency EDA simulation software into RFID teaching, intuitively demonstrating the working mechanism of RFID readers through virtual simulation experiments strengthens students' practical and innovative abilities. The paper explores the implementation of RFID teaching with the logistics industry, by introducing practical teaching links based on virtual simulation, the teaching is improved, and the composite and high-quality talents for the logistics engineering are cultivated.
Key words: Radio Frequency Identification (RFID);logistics;virtual simulation experiment;teaching research
0 引 言
随着社会经济的不断发展,现代物流行业成为我国经济的重要支持。“十四五”规划指出要进一步打造现代化物流体系,加快物流技术的创新与升级。射频识别(RFID)技术早在20世纪90年代就用于物流仓储管理的精细化作业[1-3]。RFID技术利用射频信号的空间耦合,可以实现非接触式信息传递并识别目标对象,具有速度快、效率高、多目标、操作简便、准确精细、性能稳定等特点,结合物联网、大数据、云计算、人工智能等智慧化技术,在现代物流管理的存储、配送、分销、运输、零售、巡检、预警等环节上具有显著优势[4-6]。
物流技术的……
