Sensor Assembly Validation via Calibration Comparison
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Solution Overview
Problem
Existing meter technologies face challenges in accurately identifying and validating sensor assemblies, particularly in preventing the use of unauthorized or 'knock-off' sensor assemblies that do not meet manufacturer standards, leading to reduced sales and weakened brand recognition due to potential inaccuracies in measurements.
Innovation Solution
A method and apparatus for validating sensor assemblies by comparing received calibration values to known values within a predetermined tolerance, where if the values fall outside this range, the sensor is deemed invalid, and the meter electronics are prevented from operating with it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prior art methods (manual entry, memory codes, calibration data comparison) are used to identify sensor type, then sensor identification is achieved, but the system cannot prevent use of unauthorized knock-off sensor assemblies
Solution Approach 1:
The system performs preliminary validation by comparing received calibration values against stored reference calibration values before allowing operation. This advance checking prevents unauthorized sensor assemblies from being used, as the calibration value comparison occurs prior to sensor activation and data collection.
Solution Approach 2:
The system implements feedback by continuously monitoring whether calibration values fall within acceptable tolerances and automatically preventing operation when values exceed tolerances. This closed-loop validation ensures that only authorized sensor assemblies with correct calibration values can operate the meter electronics.
2Adaptability or versatility
If tolerance range is set wide to accommodate manufacturing variations, then more sensor assemblies are accepted, but unauthorized knock-off sensors may be accepted incorrectly
Solution Approach 1:
The system changes the validation parameter from binary accept/reject to a tolerance-based range validation. By establishing predetermined tolerance ranges around reference calibration values, the system accommodates legitimate manufacturing variations while still rejecting unauthorized sensor assemblies that fall outside these ranges.
3Measurement precision
If tolerance range is set narrow to ensure accuracy, then unauthorized sensors are rejected, but legitimate sensors with normal manufacturing variations are rejected incorrectly
Solution Approach 1:
The system optimizes the tolerance parameter to balance accuracy and compatibility. The predetermined tolerance ranges are calibrated to be narrow enough to reject unauthorized sensor assemblies but wide enough to accommodate normal manufacturing variations in legitimate sensors, achieving both precision and adaptability.
4Reliability
If calibration value comparison validation is implemented, then unauthorized sensor assemblies are prevented from operating, but additional validation steps increase system complexity
Solution Approach 1:
The sensor assembly provides its own authentication credentials through its calibration values, which are automatically compared by the meter electronics. This self-service approach eliminates the need for external authentication hardware or complex manual verification procedures, reducing system complexity while maintaining high reliability.
Data Source
AI summary
A method for validating a sensor assembly of a meter is provided. The method comprises a step of receiving one or more sensor calibration values. The method further comprises a step of comparing the received sensor calibration values to one or more known sensor calibration values. The method can then validate the sensor assembly if the one or more received sensor calibration values are within a predetermined tolerance of the one or more known sensor calibration values.