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A mobile tag detection method based on a radio frequency identification system

A radio frequency identification system and mobile tag technology, applied in the field of mobile tag detection, can solve the problems of unsatisfactory mobile multi-tag reading performance, misreading and missing reading by readers, etc., so as to improve the detectability and avoid time-consuming. False readings, the effect of reducing reading errors

Inactive Publication Date: 2019-05-28
TAIYUAN UNIV OF TECH
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Problems solved by technology

However, when there are many goods, moving goods and stationary goods exist at the same time, and there are collisions between multi-tags, the reader may misread and miss reading. The existing algorithm is difficult to meet the reading performance of mobile multi-tags.

Method used

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  • A mobile tag detection method based on a radio frequency identification system
  • A mobile tag detection method based on a radio frequency identification system
  • A mobile tag detection method based on a radio frequency identification system

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Embodiment Construction

[0038] Combine Figure 1-2 A further description of the mobile tag detection method based on the radio frequency identification system of the present invention:

[0039] The predictable detection model for mobile tags designed in this solution using machine learning algorithms. The process of model establishment mainly includes three parts. The first part is to extract three input features: tag distribution, moving tag speed, and tag distance from reader antenna. . The second part is to train the proposed SVM model; the third part is to test the SVM model to predict mobile RFID tags. The three major parts of this program are introduced below.

[0040] 1) Feature extraction

[0041] Factors affecting the detectability of readers and mobile RFID tags include: (1) the material of the object; (2) the location distribution of the tag; (3) the moving speed of the tag; (4) the distance between the tag and the reader antenna; (5) ) The external environment of the RFID system, etc. Here ...

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Abstract

The invention discloses a mobile tag detection method based on a radio frequency identification system, which belongs to the technical field of mobile tag detection methods and overcomes the defects in the prior art. The technical problem to be solved is to provide the mobile tag detection method based on the radio frequency identification system. The technical scheme adopted by the invention is that the method comprises the following steps that a machine learning algorithm is designed to predict a mobile tag detection model, the model establishment process mainly comprises three parts, the first part is to extract three input characteristics, namely tag distribution, mobile tag speed and tag distance reader antenna distance, and the second part is to train a proposed SVM model; and the third part is used for testing the SVM model prediction mobile RFID tag. The method is suitable for the field of mobile tag detection.

Description

Technical field [0001] The present invention is a detection method of a mobile tag based on a radio frequency identification system, which belongs to the technical field of mobile tag detection methods. Background technique [0002] Radio frequency identification (RFID) can mark and track moving objects. It has been widely used in automatic identification and tracking of items in the supply chain from production to sale. It can track inventory in warehouses and check vehicles loaded with goods. The data extracted by tags is classified and processed, which greatly improves the efficiency of warehouse logistics. However, when there are many goods, moving goods and stationary goods exist at the same time, and there are collisions between multiple tags, and the reader will misread and miss reading. The existing algorithms cannot meet the reading performance of mobile multiple tags. [0003] Therefore, the design of a mobile tag prediction method to improve the reading performance of t...

Claims

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Application Information

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IPC IPC(8): G06K17/00G06K9/62
Inventor 赵菊敏李灯熬王杨谨
Owner TAIYUAN UNIV OF TECH
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