Gas Sensor Baseline Correction via Heating Element Resistance
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Solution Overview
Problem
Sensing systems, particularly resistive gas sensors, face challenges in maintaining high sensitivity and accuracy due to external environmental factors such as temperature, humidity, and electromagnetic interference, which cause baseline variation and reduce their ability to detect target analytes accurately.
Innovation Solution
A method and device that corrects for baseline variation by processing sensor data using reference data points to determine correlations, adjusting sensor data points, and normalizing them, allowing the system to operate effectively across varying environmental conditions without requiring specific temperature settings and enabling adaptive corrections in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensitivity of sensor device is improved to detect low concentrations of target analytes, then detection capability is enhanced, but influence of external environmental factors increases which decreases sensor accuracy
Solution Approach 1:
The sensor device is segmented into multiple sensing elements with different sensitivities to target analytes and environmental factors. By dividing the sensing function across multiple elements, the system can differentiate between signals caused by target analytes and those caused by environmental interference, thereby maintaining high detection capability while improving accuracy through comparative analysis of the segmented sensor responses.
2Adaptability or versatility
If sensor device operates in varying environmental conditions without temperature control, then energy consumption is reduced and adaptability is improved, but baseline variation increases which reduces measurement accuracy
Solution Approach 1:
The sensor device utilizes parameter changes in the resistance values of heating elements and sensing elements in response to environmental conditions. By monitoring and analyzing these parameter changes across multiple elements, the system adapts to varying environmental conditions without requiring active temperature control, maintaining measurement accuracy through computational compensation of baseline variations.
3Speed
If real-time detection is implemented with high sensitivity, then response time is reduced, but noise from environmental factors increases which complicates signal interpretation
Solution Approach 1:
The system implements feedback by continuously monitoring the resistance values of multiple sensing elements and using this information to dynamically adjust the interpretation of sensor signals. The processor uses feedback from reference elements and environmental sensors to compensate for noise in real-time, enabling fast response while maintaining signal quality through continuous adaptive correction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the sensitivity of gas sensors to detect low concentrations of target analytes, such as parts-per-million or parts-per-billion levels, while reducing the impact of environmental factors, thereby improving accuracy and adaptability.
Implementation Method 1
A heating element is disposed within the first substrate. The gas sensor overlaps the heating element.
Implementation Method 2
detection events may be based on the change in resistance or capacitance of a semiconducting thin-film structure that is influenced by the adsorption of gas molecules
Data Source
AI summary
The present disclosure relates to a sensor device including a gas sensor disposed on a first substrate, a heating element disposed within the first substrate so that the gas sensor overlaps the heating element, a processor operatively coupled to the gas sensor and the heating element, and a memory storing a program to be executed by the processor. The gas sensor is configured to measure first sensor data points and second sensor data points. The program includes instructions for performing the following steps in real-time: recording first resistance values and second resistance values of the heating element; adjusting the second sensor data points using the first sensor data points, the first resistance values, and the second resistance values to obtain corrected sensor data points; and determining sensed values from the corrected sensor data points.