研究目的
To design a low-cost UHF RFID tag antenna for metallic cans using characteristic mode analysis for IoT applications, specifically for a smart refrigerator system enabling automatic billing and product restoration.
研究成果
The proposed low-cost RFID tag antenna effectively tags metallic cans with a read range over 2.5 meters and covers the entire UHF band. The smart refrigerator system achieves high accuracy in automatic billing and enables product tracking and restoration, demonstrating potential for IoT applications in supply chain management and consumer devices.
研究不足
The tag may have reduced read range in certain orientations or when multiple cans are packed together; fabrication tolerances can cause slight shifts in performance; the system requires integration with online payment apps and may have security concerns in uncontrolled environments.
1:Experimental Design and Method Selection:
The study uses characteristic mode analysis (CMA) to design an RFID tag antenna that exploits the metallic can structure as the main radiator. An inductive coupling element (ICE) is designed and optimized using CST Microwave Studio for impedance matching and radiation efficiency.
2:Sample Selection and Data Sources:
A 330 ml metallic beverage can is used as the sample. Simulations are performed with in-house MATLAB code and CST Microwave Studio.
3:List of Experimental Equipment and Materials:
Equipment includes Tagformance Pro setup from Voyantic, handheld RFID reader, Impinj R420 RFID reader, linear polarized antenna (6 dBi gain), foam spacer, laptop, conductive ink (15 μm silver with σ =
4:5x10^6 S/m), PET substrate (100 μm), and Impinj Monza R6 RFID chip. Materials include metallic cans and paint layers for embedding. Experimental Procedures and Operational Workflow:
The ICE is fabricated using inkjet printing on PET substrate or embedded in paint layers. It is mounted on the metallic can. Read range is measured using Tagformance Pro and handheld reader. A smart refrigerator setup with RFID reader antennas and LCD is used for automatic billing experiments.
5:Data Analysis Methods:
Data analysis includes impedance matching, return loss, gain radiation patterns, read range calculation using Friis equation, and correlation coefficient for pattern similarity.
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