RFID Aggregate User Grouping by Location and Time
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Solution Overview
Problem
Existing RFID technologies lack systems for grouping users based on collected wireless ID information and for searching or providing information about products that are not currently in the vicinity or have been misplaced, with no methods for comparing and aggregating RFID data across multiple users.
Innovation Solution
A user grouping apparatus and method that aggregates wireless ID data by location and time, evaluates proximity between user aggregates, and classifies users into groups when the proximity meets a predetermined threshold, enabling effective user grouping and information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RFID tags are read out and stored individually without aggregation, then each user can access product information independently, but users cannot be grouped based on their RFID collection patterns and location data
Solution Approach 1:
The patent segments RFID data into user-specific aggregates organized by location and time periods. Each user's RFID tags are grouped into location-based aggregates, which are further divided into time-based sub-aggregates. This segmentation enables user grouping while maintaining manageable data structure and retrieval efficiency.
Solution Approach 2:
The patent adds temporal and spatial dimensions to RFID data organization. Instead of storing only RFID tags, the system creates aggregates structured by location (spatial dimension) and time (temporal dimension). This dimensional expansion enables proximity-based user grouping and sophisticated search capabilities across multiple dimensions.
2Measurement precision
If RFID information is stored without location and time associations, then storage is simpler, but the system cannot evaluate proximity between users or provide location-based search functionality
Solution Approach 1:
The patent performs preliminary organization of RFID data into location and time aggregates at the time of collection. By pre-grouping RFID tags according to their readout location and time before any search or analysis operation, the system enables efficient proximity evaluation and user grouping without requiring complex real-time processing of raw data.
3Duration of action of moving object
If the system only provides immediate product information without historical data, then response time is faster, but users cannot search for previously encountered products or track their movement patterns
Solution Approach 1:
The patent segments historical RFID data into time-based aggregates (e.g., daily, weekly, monthly). This temporal segmentation allows users to efficiently search and retrieve historical information within specific time ranges without processing the entire historical dataset, thereby reducing search time while maintaining comprehensive data retention.
Data Source
AI summary
An RFID aggregate storage stores a radio-frequency ID aggregate structure. The RFID aggregate structure is an aggregated data structure of a plurality of RFIDs, in which each RFID is associated with a location and time read out from a RFID tag, and RFID related information, hierarchically constructed by classifying RFIDs based on the readout location and further by classifying them based on the readout time. A proximity evaluator evaluates the proximity between the first user's RF ID aggregate and the second user's RFID aggregate. A user classifier classifies the first user and the second user in one group when the proximity is smaller than a predetermined threshold value.