Optical Gas Detector Signal Correction for Faster Leak Detection
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Solution Overview
Problem
Existing optical gas sensors face significant statistical fluctuations in detection signals due to variations in light source emission intensity and photodetector sensitivity, leading to latency issues that hinder fast response times, particularly in applications requiring rapid gas concentration measurements.
Innovation Solution
A method and device for estimating gas concentration using a gas sensor that incorporates a prediction term and penalty factor to correct detection signals, reducing statistical fluctuations by iteratively calculating a corrected signal through weighted sums of previous measurements and variations, and employing a reference photodetector for temporal smoothing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If low-pass filtering is applied to the detection signal to reduce statistical fluctuations, then measurement precision is improved, but response time deteriorates due to introduced latency
Solution Approach 1:
The patent applies a dynamic filtering approach where the filter characteristics are adjusted based on the operational state. The filtering strength is modulated by a factor that varies with the detection signal level, allowing strong filtering during stable conditions and reduced filtering during rapid changes, thus adapting the balance between precision and response time dynamically.
Solution Approach 2:
The patent changes the parameter of filter strength dynamically. By introducing a modulation factor that depends on the detection signal characteristics, the system adjusts the effective filtering level in real-time, reducing latency during critical detection moments while maintaining precision during steady-state measurements.
2Measurement precision
If the detection signal is processed to reduce statistical fluctuations, then measurement precision is improved, but device complexity increases due to additional processing steps
Solution Approach 1:
The patent implements self-service processing where the system uses its own detection signal characteristics to automatically adjust the filtering parameters. The modulation factor is calculated from the detection signal itself, eliminating the need for external control systems or complex configuration mechanisms.
Solution Approach 2:
The patent employs feedback mechanisms where the detection signal is continuously monitored and used to adjust the filtering strength. The modulation factor is derived from the signal's own properties, creating a closed-loop system that automatically optimizes filtering without requiring additional sensors or complex control logic.
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
The method significantly reduces latency in response time while maintaining accuracy, effectively addressing sudden changes in gas concentrations, as demonstrated by reduced overshoot and undershoot phenomena, and achieving faster detection of gas leaks.
Implementation Method 1
Optical sensors allow us to monitor the concentration of a gaseous species based on optical absorption. Thus, knowing the spectral absorption band of a gaseous species, its concentration can be determined by estimating the absorption of light passing through the gas, using Beer-Lambert's law.
Implementation Method 2
a light source and a photodetector, the photodetector being arranged to detect light, emitted by the light source, having propagated between the light source and the photodetector
Data Source
Figure 1~2
Figure 3
Figure 4A~4B
AI summary
A method for estimating a concentration of a gaseous species, comprising, at each measuring time: a) the gas sensor forming a detection signal; b) computing the corrected signal at the measuring time, based on a sum of: - a prediction term of the corrected signal at the measuring time, weighted by a first weighting factor based on the corrected variation signal and the corrected signal; - the detection signal, at the measuring time, assigned a second weighting factor; c) computing a variation signal at the measuring time, the variation signal being established based on a weighted sum: - of a difference between the corrected signals respectively at the measuring time and at the previous time, - of the variation signal at the previous time; d) estimating the concentration of the gaseous species, e) reiterating a) to d).