Sensor Calibration System Drift Function Automation

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Solution Overview

Problem

Sensors experience gradual sensitivity drift over time due to material degradation, environmental contamination, and mechanical forces, leading to inaccurate measurements, false positives, and false negatives, necessitating inefficient and error-prone manual recalibration.

Innovation Solution

A sensor calibration system that includes a controller connected to sensors, which receives electrical outputs during specific input conditions to determine a drift function, adjusting raw sensor outputs to maintain accurate measurements, and can be semi-automated or fully automated.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual recalibration is performed to correct sensor drift, then measurement accuracy is improved, but the process is inefficient and error-prone

Engineering Contradiction:
Improvesensor measurement accuracyVSAvoidrecalibration efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces manual mechanical recalibration processes with an automated electronic system. The controller automatically performs calibration by sending test signals to the sensor, receiving electrical outputs, calculating drift functions, and adjusting measurement conversions without manual intervention, thereby improving efficiency while maintaining accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-calibration where the controller autonomously manages the entire recalibration process. The controller automatically submits the sensor to test input conditions, processes the electrical outputs, determines drift functions, and applies corrections without requiring operator disconnection or manual adjustment, making the sensor system self-sufficient for maintenance.

Inventive Principle:
Principle #25Self-service

2Reliability

If sensors are replaced frequently to avoid drift inaccuracies, then measurement reliability is improved, but cost and material waste increase

Engineering Contradiction:
Improvemeasurement reliabilityVSAvoidsensor replacement waste
Core Design Contradiction:
ReliabilityVSLoss of substance

Solution Approach 1:

Instead of discarding drifted sensors, the system recovers their functionality through automated recalibration. The controller continuously monitors sensor performance and applies drift compensation functions to extend sensor operational life, preventing premature disposal and reducing material waste while maintaining measurement reliability.

Inventive Principle:
Principle #34Discarding and recovering

3Measurement precision

If manual recalibration is performed, then sensor drift is corrected, but human error increases the risk of inaccuracies

Engineering Contradiction:
Improvesensor measurement accuracyVSAvoidrecalibration accuracy
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent eliminates human intervention from the recalibration process by replacing manual operations with automated electronic calculations. The controller programmatically performs all calibration steps including drift function determination and measurement conversion adjustment, removing the source of human error and improving recalibration reliability.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Measurement precision

If the sensor output conversion function is manually adjusted, then drift offset is reduced, but the process complexity increases

Engineering Contradiction:
Improvesensor measurement accuracyVSAvoidrecalibration process complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent merges the recalibration function into the existing controller that already manages sensor data. The controller integrates drift detection, drift function calculation, and conversion adjustment all within its existing processing architecture, avoiding the need for separate calibration equipment and simplifying the overall system.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20230258483A1Sensor calibration system and method
Publication Date: 2023.08.17 TRANSPORTATION IP HOLDINGS LLC
  • US20230258483A1 patent drawing
  • US20230258483A1 patent drawing

AI summary

A sensor calibration system includes a controller configured to receive a first electrical output generated by a sensor while submitted to a first input condition and a second electrical output generated by the sensor while submitted to a second input condition. The first and second electrical outputs represent lower and upper limits, respectively, of a sensor measurement range. The controller obtains a first reference value that corresponds to the lower limit and a second reference value that corresponds to the upper limit, and determines a drift function of the sensor based on a value of the first electrical output, a value of the second electrical output, the first reference value, and the second reference value. The controller inputs a value of a raw electrical output generated by the sensor into the drift function to determine an adjusted value of the raw electrical output.