植入安全工器具RFID标签的无线性能测试分析
Analysis of Wireless Performance Test for Implanted RFID Tags in Safety Tools and Devices
邓元实 1蒲维 2熊兴中 3陈明举 3苏勤 3陈红3
作者信息
- 1. 国网四川省电力公司电力科学研究院,四川 成都 610041;电力物联网四川省重点实验室,四川 成都 610041
- 2. 国网四川省电力公司电力科学研究院,四川 成都 610041
- 3. 四川轻化工大学,四川 宜宾 644000
- 折叠
摘要
电力安全工器具植入射频识别(RFID)标签后具有无线通信、定位、感知、数据交互、工作票联动等功能.针对RFID标签植入工器具后无线通信性能将受工器具材质等因素的影响而下降开展研究:首先,分析了RFID的传输特性与主要性能指标;然后,采用HFSS电磁仿真软件建立植入工器具RFID标签的仿真模型,研究植入深度与材料的介电常数对RFID标签信号传输性能的影响;最后,搭建RFID性能测试平台,测试不同介电常数与植入深度的读取距离以及输入匹配参数和谐振频率,并对不同测试距离的信噪比和接收信号强度指示(RSSI)进行测试.研究表明,RFID标签的植入深度与材质的介电常数将影响RFID的性能,植入工器具的RFID芯片传输距离将减小.
Abstract
The implantation of radio frequency identification(RFID)tags into electric safety tools and devices provides the functions of wireless communication,positioning,perception,data interaction and work ticket coordination.Aiming at the degradation of wireless communication performance of RFID-implanted tools and devices which is affected by their materials,the research is carried out.Firstly,the transmission characteristics and key performance indicators of RFID are analyzed.And then,a simulation model of an RFID tag implanted in tools and devices is established using the HFSS electromagnetic simulation software to investigate the impact of implantation depth and dielectric constant of the materials on the transmission performance of RFID tag signal.Finally,a RFID performance testing platform is constructed to measure the read distance for various dielectric constants and implantation depths,as well as input matching parameters and resonance frequency,and the signal-to-noise ratio(SNR)and received signal strength indication(RSSI)at different testing distances are tested.The research shows that the implantation depth and the dielectric constant of materials of RFID tags significantly affect the performance of RFID,resulting in a reduced transmission distance for the RFID chip implanted in tools and devices.
关键词
RFID/性能测试/安全工器具/介电常数Key words
radio frequency identification(RFID)/performance test/safety tools and devices/dielectric constant引用本文复制引用
出版年
2024
NETL
NSTL
万方数据