Context-Driven RFID Tag Automatic Data Update
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Solution Overview
Problem
Current RFID systems face difficulties in efficiently updating data stored in RFID tags and related databases, particularly in response to changes in the physical context of items, requiring manual and often cumbersome processes.
Innovation Solution
A system that includes a monitor module and an RFID communication device to detect changes in physical attributes of items with associated RFID tags, allowing for automatic updates in the tags and databases, as well as updating information based on proximity to a person using a second RFID tag.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used to update RFID tag data and database information, then data accuracy can be maintained through human verification, but the productivity and efficiency of data updating deteriorates due to cumbersome manual operations
Solution Approach 1:
The system enables self-service by allowing RFID tags to automatically update their own data and database information when physical attributes change. The tag detects changes in its physical state (location, temperature, humidity) and autonomously triggers data updates without requiring manual intervention, thus maintaining accuracy while dramatically improving productivity
Solution Approach 2:
The system implements feedback mechanisms where the RFID tag continuously monitors its physical attributes and automatically compares current state with stored data. When discrepancies are detected, the system automatically updates both the tag memory and database, creating a closed-loop system that maintains data accuracy through real-time verification while eliminating manual update steps
2Productivity
If automatic updating based on physical attribute changes is implemented, then productivity and efficiency of data updating is improved, but the device complexity increases due to integration of monitor systems and automatic update mechanisms
Solution Approach 1:
The RFID tag is designed as a multi-functional device that combines identification, physical attribute sensing, and automatic data updating capabilities in a single integrated unit. This universal approach allows the same device to perform multiple functions (tracking location, monitoring environmental conditions, and autonomously updating databases) without requiring separate specialized systems for each function
Solution Approach 2:
The system merges the RFID tag, monitor module, and database update functionality into an integrated system. The physical monitor that detects attribute changes is combined with the RFID communication device, which in turn is integrated with database access capabilities, creating a unified system that reduces overall complexity compared to having separate independent systems for each function
3Adaptability or versatility
If proximity-based person identification is added to update tag information, then the adaptability and versatility of the system is improved, but the device complexity increases due to additional sensing and communication requirements
Solution Approach 1:
The RFID system is enhanced with multi-functionality to handle both item tracking and person identification through proximity detection. The same RFID infrastructure that tracks item physical attributes is also used to detect nearby persons with RFID tags, enabling the system to perform multiple functions (item monitoring and person identification) using the same core technology platform
Solution Approach 2:
The system uses RFID tags as intermediary devices for person identification. Instead of requiring direct complex biometric scanning or visual recognition systems, the patent employs simple RFID tags carried by persons as intermediaries. When a person with an RFID tag approaches the item, the proximity is detected through RFID communication, enabling person identification without requiring complex direct sensing systems
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables automatic and efficient updating of information in RFID tags and databases in response to changes in item location or context, improving data accuracy and reducing manual intervention.
Implementation Method 1
The tag receives the signal, and responds by modulating the signal, 'backscattering' an information signal to the reader
Data Source
AI summary
Methods and apparatuses for tracking an item having an associated radio frequency identification (RFID) tag are described. A change in a physical attribute of the item is detected. Information stored in the tag is updated based on the detected change. Information stored in a database may also be updated based on the detected change. In another aspect, a second tag associated with a person is determined to be located within a predetermined range of a first tag associated with an item. As a result, information is stored in the first tag regarding the person.