A relative position positioning method of RFID tags based on deep learning

A technology of RFID tags and positioning methods, applied in neural learning methods, positioning, and collaborative devices, etc., can solve problems such as low accuracy of RFID tag sorting.

Active Publication Date: 2022-03-04
NANJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a method for relative position positioning of RFID tags based on deep learning. For problems with relatively low rates, the specific technical solutions are as follows:

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A relative position positioning method of RFID tags based on deep learning
  • A relative position positioning method of RFID tags based on deep learning
  • A relative position positioning method of RFID tags based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.

[0025] refer to figure 1 , in an embodiment of the present invention, a method for relative position positioning of RFID tags based on deep learning is provided, the method includes the steps of:

[0026] S1. Arrange a series of RFID tags uniformly and horizontally in a random order, keep an RFID antenna moving parallel to the RFID tags, and use the RFID antenna to continuously read the phase information data and signal strength information data between the RFID tags;

[0027] Specifically, see figure 2 And the corresponding physical diagram image 3 , the method of the present invention moves the RFID antenna parallel to the direction of a series of densely arranged RFID ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for locating relative positions of RFID tags based on deep learning. The method includes steps: S1. Arrange a series of RFID tags uniformly and horizontally in a random order, keep an RFID antenna parallel to the movement of the RFID tags, and use the The RFID antenna continuously reads the phase information data and the signal strength information data between the RFID tags; S2, setting a data arrangement structure, based on the data arrangement structure, the phase information data and the signal strength information data are prepared into training data, and adopt the deep neural network to train the training data, and initially obtain the relative positional relationship between all the RFID tags; The relationship is further sorted to determine the final relative positional relationship between all the RFID tags; the method of the present invention can accurately analyze the sequence of a series of densely arranged RFID tags.

Description

technical field [0001] The invention belongs to the technical field of machine learning and the Internet of Things, and in particular relates to a mutual positioning technology of RFID (Radio Frequency Identification, radio frequency identification), especially a method for relative position positioning of RFID tags based on deep learning. Background technique [0002] Most of the current positioning research is still aimed at the absolute position. However, in many situations, the relative position of the object is more important than its absolute position. For example, in the library, librarians find misplaced books or For archives, we need to obtain the current order of books on the bookshelf rather than their absolute coordinate values; on the conveyor belt, we only need to know the relative relationship between the front and back of the object, and do not need to know the absolute coordinate value of the object. The same is true for the sorting of items in some warehous...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K17/00G01S5/02G01S11/06G06N3/08
CPCG06K17/00G06N3/08G01S5/02G01S11/06
Inventor 徐鹤张卿云沈磊贤庞佳逸李鹏朱枫
Owner NANJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap