RFID Tag Localization via Hierarchical Threshold and Dynamic RF Adjustment
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Solution Overview
Problem
Existing RFID-based object localization systems are limited in dynamic sensing reconfiguration and access control, failing to adapt to varying application demands and providing inadequate security measures.
Innovation Solution
A networked RFID system with software modules that utilize hierarchical threshold and probabilistic calculations, adjustable RF settings, and semantic attribute determination to localize RFID tags, enforce access control, and manage access points dynamically based on user input and security levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple location determination is used, then the system is easy to operate, but the adaptability to varying application demands is limited
Solution Approach 1:
The system dynamically reconfigures sensing parameters including RF signal strength, antenna gain, antenna polarization, and antenna orientation based on application demands. The software module adjusts these parameters in real-time to adapt to varying requirements while maintaining ease of operation through automated control.
Solution Approach 2:
The patent changes multiple RF parameters simultaneously to achieve adaptability. The software module modifies RF signal strength, antenna gain, polarization, and orientation parameters dynamically, allowing the system to adapt to different application scenarios without requiring complex manual configuration.
2Measurement precision
If advanced hierarchical threshold and probabilistic calculations are used, then the measurement precision of RFID tag localization is improved, but the device complexity increases
Solution Approach 1:
The localization process is segmented into hierarchical threshold calculations and probabilistic calculations. The system first performs hierarchical threshold limit calculations based on accumulated reading factors from groups of settings, then applies probabilistic threshold calculations. This segmentation allows complex calculations to be broken down into manageable stages, improving precision while organizing system complexity.
Solution Approach 2:
The software module acts as an intermediary that manages the complex calculations. It collects data for each setting during time intervals, calculates aggregate results using weighting functions, and determines localization based on threshold comparisons. This intermediary layer handles the computational complexity while presenting a simplified interface for localization determination.
3Adaptability or versatility
If adjustable RF settings are implemented, then the adaptability to varying application demands is improved, but the device complexity increases
Solution Approach 1:
The software module provides universal control over multiple RF settings including signal strength, antenna gain, polarization, and orientation. A single software component manages all these adjustable parameters, allowing the system to handle various application demands through one multi-functional module rather than requiring separate control mechanisms for each parameter.
Solution Approach 2:
The system performs self-service by automatically adjusting RF settings based on application demands. The software module autonomously modifies configuration settings without requiring manual intervention for each parameter adjustment, reducing operational complexity while maintaining high adaptability to different scenarios.
4Reliability
If access control and security measures are enforced, then the reliability of the system is improved, but the ease of operation decreases
Solution Approach 1:
Access control rules are established in advance with pre-defined time intervals and authorization levels. The system preemptively configures security parameters and access restrictions before operation, allowing reliable security enforcement without requiring complex real-time decisions that would reduce ease of operation.
Data Source
AI summary
A networked radio frequency identification system includes a plurality of radio frequency identification (RFID) tag readers, a computer in signal communication with the RFID tag readers over a network, and a software module for storage on and operable by the computer that localizes RFID tags based on information received from the RFID tag readers using a network model having endpoints and oriented links. In an additional example, at least one of the RFID tag readers includes an adjustable configuration setting selected from RF signal strength, antenna gain, antenna polarization, and antenna orientation. In a further aspect, the system localizes RFID tags based on hierarchical threshold limit calculations. In an additional aspect, the system controls a locking device associated with an access point based on localization of an authorized RFID tag at the access point and reception of additional authorizing information from an input device.