Tag Data Management System Using Segmented Storage and Intermediary Servers
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Solution Overview
Problem
There is a need for a system and method to store, retrieve, and manage data associated with various types of tags that are linked to any type of object, including physical and abstract, animate and inanimate, for diverse applications such as authentication, tracking, and health monitoring, which existing technologies do not adequately address.
Innovation Solution
A system comprising tags, communication components, receivers, transmitters, and a communication network that allows for the storage, retrieval, and management of data associated with objects, enabling queries and data structures to be constructed and maintained across multiple repositories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data is stored locally in tags for tracking and authentication purposes, then data accessibility and retrieval speed are improved, but device complexity and power consumption increase
Solution Approach 1:
The system divides data storage and processing functions between multiple components: tags store minimal identification data, intermediate servers store object-specific data, and central databases store comprehensive information. This segmentation allows fast local retrieval at each level while distributing system complexity across multiple simplified components rather than concentrating it in single tags.
Solution Approach 2:
The patent introduces intermediate servers as mediators between tags and central databases. These servers cache frequently accessed data and handle complex queries, reducing the burden on tags while maintaining fast retrieval speeds. The intermediary layer absorbs much of the system complexity, allowing tags to remain simple devices.
2Adaptability or versatility
If multiple repositories are used to store tag data across distributed systems, then data accessibility and versatility are improved, but system complexity and difficulty of management increase
Solution Approach 1:
The patent creates a universal data structure format that can represent multiple types of objects (physical objects, digital content, services) and their relationships in a consistent manner. This universal schema allows the same repository structure to handle diverse data types without requiring separate management systems for each object type, thereby achieving versatility without proportional increases in management complexity.
Solution Approach 2:
The system uses configurable parameters to adapt the repository structure to different application needs. Data structures include flexible fields for storing various object attributes, relationships, and metadata. By changing parameters such as data types, relationship schemas, and access permissions, the system can accommodate different repositories with the same underlying management framework.
3Measurement precision
If tags continuously transmit and receive data for monitoring purposes, then data accuracy and real-time tracking are improved, but energy consumption increases
Solution Approach 1:
Instead of continuous transmission, the system implements periodic data updates and queries. Tags transmit data at scheduled intervals or in response to specific events, rather than continuously. This periodic action maintains tracking accuracy for most applications while dramatically reducing power consumption compared to continuous operation.
Solution Approach 2:
The system performs preliminary data processing and filtering at intermediate servers before data is stored or transmitted to central databases. By pre-processing data locally at intermediate nodes, the system reduces the frequency and volume of transmissions required, thereby maintaining data accuracy while reducing the energy burden on battery-powered tags.
Data Source
AI summary
This invention relates generally to a method and system for storing, retrieving, and managing data for tags that are associated in some manner to any type of object. More particularly, the present invention writes data to these tags, reads data from these tags, and manages data that is written to and/or read from these tags.In addition, the invention accesses and/or stores data associated with tags from or into repositories, constructs and maintains data structures from these repositories and responds to queries using the data structures.