RFID Deployment Optimizer for Grid-Based Placement Analysis
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Solution Overview
Problem
Current RFID deployment methods lack systematic approaches for optimizing performance, often relying on trial and error and neglecting environmental factors, leading to inconsistent read ranges and poor performance due to varied environmental conditions and material interactions.
Innovation Solution
A method and optimizer that systematically collect and analyze RFID tag readability data across multiple deployment alternatives, using a grid-based placement strategy with varying positions and orientations, and visually represent results to determine the best deployment configuration, ensuring accurate and efficient RFID system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If trial and error method is used for RFID deployment, then deployment flexibility is maintained, but deployment time and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by conducting simulations and environmental assessments before actual RFID deployment. The system pre-evaluates multiple deployment scenarios, identifies optimal configurations, and prepares deployment plans in advance, avoiding time-consuming trial-and-error during actual implementation.
Solution Approach 2:
The patent uses virtual modeling and simulation to create digital copies of the deployment environment. These virtual models allow testing and optimization of RFID configurations without physical trial-and-error, reducing deployment time while maintaining flexibility through iterative virtual experiments.
2Device complexity
If RFID apparatus is set up based on specification only, then device complexity is reduced, but read range accuracy deteriorates due to environmental factors
Solution Approach 1:
The patent applies parameter changes by adjusting RFID deployment parameters based on environmental assessments. The system measures actual environmental conditions (interference, material properties, spatial layout) and modifies deployment parameters such as antenna placement, power settings, and frequency selection to optimize read range accuracy for each specific environment.
Solution Approach 2:
The patent introduces an environmental assessment system as an intermediary between the RFID specification and actual deployment. This intermediary layer evaluates environmental factors and translates them into optimized deployment configurations, bridging the gap between theoretical specifications and practical performance.
3Measurement precision
If comprehensive environmental assessment is conducted, then read range accuracy is improved, but assessment time and resource consumption increase
Solution Approach 1:
The patent applies segmentation by dividing the environmental assessment into multiple independent components (electromagnetic interference assessment, material property assessment, spatial layout assessment, etc.). Each component can be evaluated separately and in parallel, reducing overall assessment time while maintaining comprehensive evaluation for accurate read range prediction.
Solution Approach 2:
The patent implements a multi-level assessment approach where essential environmental factors are evaluated first to achieve sufficient accuracy, and additional detailed assessments are performed only when needed. This partial action approach balances assessment thoroughness with time efficiency, avoiding unnecessary comprehensive assessments for simple deployments.
Data Source
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AI summary
A method for optimizing the deployment of RFID apparatus, and a RFID deployment optimizer of use thereof are provided. The method includes the steps: A. analyzing the interrogation zone where the RFID apparatus are deployed, B. identifying the readability o RFID tag associated with different sets of placement on a target object inside the interrogation zone, and C. selecting the best deployment alternative based on the analysis result of the interrogation zone attained in the step A and all the readabilities of RFID tag associated with different sets of placement identified in the step B.