Gas Sensor Segmentation for Low Concentration Detection
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Solution Overview
Problem
Current semiconductor gas sensors are limited in detecting small concentrations of gases due to internal factors like diffusion and recombination, and are not effective in analyzing gaseous mixtures with low concentrations, as they rely on invalid logarithmic relationships that are destabilized by temperature and flow changes.
Innovation Solution
A method and device that use a new process to analyze gaseous mixtures by determining domains of dynamic stability and instability, allowing for selective and sensitive detection of individual gases in mixtures, using a system of differential equations and a custom logic block to regulate and control measurement parameters, and account for destabilizing factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional semiconductor gas sensors are used to detect gas concentrations, then the device structure is simple, but the measurement precision deteriorates at low concentrations due to diffusion and recombination effects
Solution Approach 1:
The patent divides the measurement process into distinct operational domains (stable and unstable) and uses multiple sensors to measure different parameters simultaneously. This segmentation allows the system to achieve high measurement precision at low concentrations by selecting appropriate domains for measurement while managing complexity through structured data processing.
Solution Approach 2:
The patent introduces a custom logic block as an intermediary that processes sensor data and determines the current operational domain. This intermediary layer manages the complexity by automating the selection of measurement parameters and stabilizing the measurement process, thereby enabling high precision detection without proportionally increasing overall system complexity.
2Reliability
If logarithmic relationship is used for gas concentration measurement, then the device operation is simple, but the reliability deteriorates due to destabilizing factors like temperature and flow changes
Solution Approach 1:
The patent dynamically adjusts the measurement approach by identifying whether the system is in a stable or unstable domain and selecting appropriate measurement parameters accordingly. This dynamic adaptation maintains reliability under varying temperature and flow conditions while the custom logic block manages the operational complexity through automated domain determination.
Solution Approach 2:
The patent changes the measurement parameters based on the operational domain. In stable domains, conventional measurements are used, while in unstable domains, alternative parameters are selected that are less sensitive to temperature and flow variations. This parameter adaptation maintains reliability while the systematic approach manages operational complexity.
3Measurement precision
If conventional gas sensors are used for mixture analysis, then the device structure is simple, but the measurement precision deteriorates for low concentration gases in mixtures
Solution Approach 1:
The patent segments the gaseous mixture measurement into multiple independent sensor channels, each measuring specific parameters. This segmentation enables the detection of low concentration gases by isolating their signals from the mixture while the structured data processing in the custom logic block manages the complexity of analyzing multiple sensor outputs simultaneously.
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
Enables high selectivity and sensitivity in detecting low concentrations of gases and analyzing gaseous mixtures, providing accurate and non-invasive monitoring and diagnostics by distinguishing between domains of stability and instability, and allowing for real-time monitoring without prior calibration.
Implementation Method 1
atoms and molecules interacting with semiconductor surfaces influence surface properties of semiconductors, such as conductivity and surface potential
Implementation Method 2
the absorption and/or subsequent reaction of a gas on the surface of the oxide produces an electrical conduction change in the metal-oxide itself
Implementation Method 3
the absorption and/or subsequent reaction of a gas on the surface of the oxide produces an electrical conduction change
Data Source
AI summary
Method and device for detection and quantitative and qualitative analysis of components in a gaseous mixture distinguished by high selectivity and high resolution. Method allows to distinguish the influence of individual gases, by themselves or in a mixture, on the microstructure of a sensor's sensitive layer and utilizing the variations of measured parameters to analyze and derive the characteristics of gases, for example, the concentration of a gas or multiple gases in a mixture. As an example, the method could be utilized in medicine for non-invasive detection of the blood glucose level in diabetics. Device realizing the method is described.


