Optical Gas Anomaly Detection via Waveform Extraction
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Solution Overview
Problem
Existing optical gas detection systems face challenges in accurately detecting anomalies, such as fires or gas leaks, at their early stages due to reliance on standard gas calibration, which can lead to low detection accuracy when the gas concentration is small.
Innovation Solution
An anomaly detection system and method that uses a receiver to extract a range from an optical signal and determine the presence of an anomaly based on the waveform of the optical signal absorbed by gas molecules, eliminating the need for standard gas calibration by focusing on the waveform features rather than gas concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard gas calibration is used to measure gas concentration, then the measurement can be performed, but the detection accuracy deteriorates when gas concentration is small due to calibration errors
Solution Approach 1:
The patent extracts the useful information (waveform shape characteristics) from the optical signal while discarding the unreliable concentration values obtained through standard gas calibration. By focusing only on waveform features rather than absolute concentration measurements, the system eliminates the source of calibration errors and achieves reliable anomaly detection even at low gas concentrations
Solution Approach 2:
Instead of measuring gas concentration directly through calibration-based methods, the patent inverts the approach by measuring the waveform characteristics of the optical signal and inferring anomaly presence from these characteristics. This inversion transforms the problem from concentration measurement to waveform pattern recognition, bypassing the calibration accuracy limitation
2Speed
If wavelength modulation spectroscopy is used to detect gas concentration, then the detection speed is improved, but the accuracy deteriorates at early anomaly stages due to calibration limitations
Solution Approach 1:
The patent extracts waveform shape information from the optical signal that preserves temporal dynamics while eliminating dependence on concentration calibration. By analyzing waveform characteristics rather than calculated concentration values, the system maintains high detection speed while achieving accurate anomaly identification at early stages
Solution Approach 2:
The patent changes the measurement parameter from gas concentration (which requires calibration) to waveform characteristics (which do not require calibration). This parameter transformation allows the system to maintain fast detection response while achieving high accuracy in early anomaly detection, as waveform shapes change detectably even when concentration changes are minimal
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 allows for accurate detection of anomalies without being influenced by the accuracy of the standard gas, improving detection accuracy even at the initial stages where gas concentration changes are small.
Implementation Method 1
a gas to be measured absorbs energy at a specific wavelength when an optical signal passes through that gas
Data Source
AI summary
A detection unit receives an optical signal that has passed through a space to be measured. A spectrum extraction unit extracts a range to be measured from the optical signal received by the detection unit. The spectrum extraction unit extracts an optical signal formed as a gas molecule of a gas to be measured absorbs energy of the optical signal. A determination unit determines the presence of an anomaly in the space to be measured based on a waveform of the optical signal extracted by the spectrum extraction unit.