RFID Sensor Data Extraction Using Type Flags
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Solution Overview
Problem
Existing methods for acquiring data from RFID tags are inefficient as they read all data types, wasting time and resources, and fail to selectively extract the desired sensor data from a network of memory devices.
Innovation Solution
A system and method that uses flags to identify and selectively read sensor data by searching for an indicator, allowing interrogating devices to sort through data types in an RFID network, enabling efficient acquisition of specific data of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all data is read from RFID tags, then complete data acquisition is achieved, but time and resource efficiency deteriorates
Solution Approach 1:
The patent extracts only the necessary sensor data from RFID tags by using selective reading based on data type identifiers. Instead of reading all data stored in the tags, the system identifies and reads only the specific sensor data relevant to the application, thereby reducing time and resource consumption while maintaining data completeness for the required parameters.
Solution Approach 2:
The patent applies local quality by differentiating between various types of data stored in RFID tags and assigning different reading strategies to different data types. Sensor data is selectively read based on its type identifier, while other data types may be handled differently, optimizing the overall data acquisition process by treating different data locally according to its specific requirements.
2Loss of information
If all data is read from RFID tags, then comprehensive data collection is achieved, but resource consumption increases
Solution Approach 1:
The system extracts only the necessary sensor data from RFID tags by using selective reading based on data type identifiers. This extraction approach ensures that energy is consumed only for reading relevant data, significantly reducing overall energy consumption while still achieving complete data collection for the required sensor parameters.
3Loss of information
If data sorting is performed after reading all data, then data classification is achieved, but processing efficiency deteriorates
Solution Approach 1:
The patent implements preliminary action by organizing data with type identifiers during the data storage phase in RFID tags. This preliminary organization allows the reading device to directly identify and read specific sensor data without performing extensive sorting operations after data acquisition, thereby significantly improving data processing efficiency while maintaining proper data organization.
Data Source
AI summary
A system and method of selectively reading sensor data from a memory device is able to search the memory device for an indicator that identifies the sensor data, and read only the sensor data identified by the indicator from the memory device. In this way, interrogating devices are able to sort through sensor data stored in a network of memory devices, such as an RFID network, and report specific data of interest despite the existence of a variety of data types in the network. In some embodiments, flags are stored and associated with specific types of data, such as various sensor data, thereby allowing numerous memory devices and sensors to operate and be read efficiently in the same environment.