Animal Management System Using RFID Segmentation
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Solution Overview
Problem
Current RFID devices have limited memory for data storage, restricting their ability to encode and update information, and there is a lack of computer-implemented animal management systems for integrating RFID data with databases for remote monitoring and tracking of animals.
Innovation Solution
A computer-implemented animal management system that retrieves information from RFID devices implanted in animals and integrates it with relational and storage database tables, providing modules for data entry, analysis, alert generation, and sorting of animals based on sensed characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If RFID device memory size is increased to store more animal information, then data storage capacity is improved, but device cost and size increase
Solution Approach 1:
The system divides data storage between two components: the RFID device stores only essential identification data (device ID, animal ID), while the external database stores comprehensive animal information (medical records, ownership, characteristics). This segmentation allows the RFID device to remain small and inexpensive while the system as a whole achieves large storage capacity.
Solution Approach 2:
The patent introduces an external database as an intermediary between the RFID device and the user. The database acts as a mediator that stores and manages large amounts of animal data, which can be retrieved when the RFID device is scanned. This eliminates the need for large onboard memory in the RFID device itself.
2Loss of information
If RFID device memory is increased to store updated animal information, then data completeness is improved, but device complexity and cost increase
Solution Approach 1:
The system performs preliminary data collection and organization in the external database before RFID scanning occurs. Animal information is pre-processed, validated, and structured in the database, so that when scanning occurs, only retrieval operations are needed rather than complex local data management.
Solution Approach 2:
The patent extracts data management functions from the RFID device and places them in the external database. The RFID device is reduced to a simple identification tool, while the database handles all complex operations including data storage, retrieval, updating, and analysis.
3Device complexity
If manual data entry is used for animal information, then system complexity is reduced, but time consumption and labor costs increase
Solution Approach 1:
The patent replaces manual mechanical data entry with automated electronic data capture. RFID scanners automatically read device IDs and retrieve corresponding animal information from the database, eliminating the need for operators to manually type data. This substitution of automated electronic systems for manual processes dramatically reduces time consumption while maintaining manageable system complexity.
4Reliability
If RFID readers are deployed throughout animal facilities, then monitoring capability is improved, but system cost and infrastructure complexity increase
Solution Approach 1:
The patent designs the RFID reader system to perform multiple functions: animal identification, location tracking, monitoring animal movement between areas, and triggering data retrieval from the database. This multi-functionality justifies the infrastructure investment by providing comprehensive monitoring capabilities through a single integrated system.
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 efficient remote monitoring, tracking, and management of animals by automatically entering and analyzing RFID data, generating alerts for abnormal conditions, and sorting animals optimally for treatment and location.
Implementation Method 1
A first RFID reader retrieves a first RFID object identification information from a first RFID device implanted in a first animal
Data Source
AI summary
Specifically, a computer implemented animal management program having modules which function to match animal information retrieved from a radiofrequency identification device(s) implanted in an animal(s) with animal information retrieved from a database of at least one computer to assess animal condition and time treatment events.