Industrial Tag Reader Using Model-Based Error Correction
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Solution Overview
Problem
Current machine-readable tags in industrial environments face issues with erroneous or incomplete sensor outputs due to object movement, leading to increased process time, energy consumption, and mechanical stress, as they require specific physical constraints to ensure accurate reading, which can disrupt production processes.
Innovation Solution
A method and system that uses a model to derive accurate tag values from erroneous sensor outputs by training with data from both high-velocity and low-velocity tag readings, allowing for reliable tag reading without modifying production processes, and an industrial device with processors to execute this method.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical constraints are imposed to ensure accurate tag reading (such as deceleration to total stop), then measurement precision is improved, but productivity decreases and energy consumption increases
Solution Approach 1:
The patent changes the parameter of tag reading by transitioning from traditional optical/camera-based reading to RFID-based reading. This parameter change allows tags to be read at higher velocities without requiring deceleration or stopping, thereby maintaining measurement precision while improving productivity and reducing energy consumption.
Solution Approach 2:
The patent replaces the mechanical constraint system (deceleration mechanisms, pneumatic stoppers) with an RFID reading system that can operate at higher velocities. This substitution eliminates the need for mechanical intervention to ensure accurate reading, allowing continuous motion and improving overall process efficiency.
2Measurement precision
If physical constraints are imposed to ensure accurate tag reading (such as deceleration to total stop), then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent changes the reading parameter from optical/camera-based to RFID-based, enabling accurate tag reading without deceleration. This eliminates the energy-consuming deceleration and acceleration cycles, significantly reducing energy consumption while maintaining reading accuracy.
Solution Approach 2:
The patent substitutes the mechanical deceleration system with an RFID reading system that operates effectively at higher velocities. This eliminates the need for energy-intensive mechanical intervention, reducing overall energy consumption in the process.
3Measurement precision
If physical constraints are imposed to ensure accurate tag reading (such as deceleration to total stop), then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent changes the fundamental reading parameter from optical/camera-based to RFID-based technology. This parameter change eliminates the need for complex mechanical constraint devices such as pneumatic stoppers and deceleration mechanisms, simplifying the overall system while maintaining reading accuracy.
Solution Approach 2:
The patent replaces complex mechanical constraint systems with a simplified RFID reading system. This substitution removes the need for additional mechanical components, reducing device complexity and eliminating maintenance requirements for mechanical deceleration and positioning mechanisms.
Data Source
AI summary
A method of reading a tag located on an object, wherein the tag includes tag values associated with the object, where the method includes obtaining a first sensor output, by reading the tag using a tag reader, the first sensor output being at least one of an erroneous and incomplete representation of the tag values of the tag and includes deriving at least one tag value from the first sensor output using a model, where the model is based on a first set of sensor outputs generated by the tag reader by reading a plurality of tags and tag values associated with the plurality of tags, and where the first set of sensor outputs includes a plurality of sensor outputs, where each sensor output includes at least one of an erroneous and incomplete representation of at least one tag value of the corresponding tag.