Abstract

Asset management was a common RFID-based Internet-of-Things (IoT) application scene. RFID tags in the equipment warehouse were usually large, and the communication between the reader and the tag was prone to data collision problems, which affected the recognition efficiency of the device. In practical applications, due to the structural characteristics of the micro-strip UHF RFID tag antenna, the traditional inter-coupling impedance expression had large errors and insufficient accuracy in predicting the mutual coupling effect, such as system frequency shift. In this paper, the 3D initialization model of the tag was used to indirectly extract the electrical parameter values by the ANSYS HFSS software. At the same time, the dual-tag was taken as an example to derive the transimpedance expression between the dense tags to extract the corresponding coupling parameters. Finally, various tag-intensive scenarios in the actual environment were tested and the derivation formula was verified, and the dual-tag UHF RFID near-field frequency shift affected by the environmental factors, such as relative position, attachment, and the stacking method, was discussed. The mutual coupling effect on the minimum transmit power of the reader antenna was also studied. The experimental results showed that the average error of the formula calculated by this method was significantly smaller than that of the traditional formula. When the tag spacing was less than 30 mm, the derived mutual impedance expression was applied to the frequency shift calculation error range (1.6-7.3 MHz). For dense tag systems, the error was less than 9.8% when the number of tags was greater than 7, and the prediction accuracy was higher than the superposition method. The research results provided a theoretical and practical basis for the rapid identification and location of power assets during the dense RFID tag environment.

Highlights

  • Internet of Things (IOT) connects a large number of information-aware devices through various access technologies for information exchange and communication, enabling intelligent identification, location, tracking, monitoring and management for smart homes, personal privacy, traditional industry, intelligent monitoring, engineering control and other fields [1]–[3]

  • The technical contributions of our paper can be concluded as follows: First: this paper studied the mutual impedance expression between the tag antennas combined with transformer model, the inductively coupled tags were densely placed in the UHF RFID sensing near-field region from the perspective of wireless energy transmission

  • Our study only considered the inductive coupling between the tags, and the capacitive coupling was not considered in the near-field region of UHF RFID, that is, the equivalent capacitance C of the tag resonant circuit was a certain value

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Summary

Introduction

Internet of Things (IOT) connects a large number of information-aware devices through various access technologies for information exchange and communication, enabling intelligent identification, location, tracking, monitoring and management for smart homes, personal privacy, traditional industry, intelligent monitoring, engineering control and other fields [1]–[3]. The associate editor coordinating the review of this manuscript and approving it for publication was Vyasa Sai. sensing and identification technologies, network communication technologies, data fusion technologies, cloud computing technologies, nanotechnology, and smart technologies. How to extract multiple data information through the sensing layer is one of the key issues that IOT needs to be solved. RFID is an important technology of the sensing layer, it is a non-contact automatic identification technology which can automatically recognizes target objects and acquires relevant data through radio frequency signals. The identification process can work in various harsh environments without manual intervention [4]

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