Line-by-line calculation and subtraction method for water vapor spectral line overlapping interference in laser methane detection

By combining dual-channel detection and machine learning with a line-by-line calculation subtraction method, the interference of water vapor and volatile organic compounds in complex industrial environments is dynamically removed, solving the measurement accuracy problem of laser methane detection equipment in complex environments and achieving high-precision and high-reliability detection.

CN122117157BActive Publication Date: 2026-07-07HEFEI QINGXIN SENSING TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
HEFEI QINGXIN SENSING TECH CO LTD
Filing Date
2026-04-28
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing laser methane detection equipment faces spectral line overlap interference caused by high concentrations of water vapor and volatile organic compounds in complex industrial environments, resulting in decreased measurement accuracy and making it difficult to meet the requirements for high-precision real-time detection.

Method used

Employing a dual-channel detection unit and environmental parameter sensors, combined with a pre-defined machine learning model and physical feature library, the system dynamically removes spectral overlap interference from water vapor and other interfering gases through line-by-line calculation and subtraction. It also introduces a multi-level priority fitting and closed-loop verification iteration strategy to adaptively handle complex dynamic environments.

Benefits of technology

It improves the measurement accuracy and environmental adaptability of laser methane detection equipment in harsh environments, enhances the reliability and accuracy of measurements, and can effectively cope with extreme optical path attenuation and electromagnetic shock, reducing data distortion and missed detections.

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Abstract

The application relates to the technical field of laser spectrum detection, and particularly discloses a line-by-line calculation and deduction method for water vapor spectrum line overlapping interference in laser methane detection, which comprises the following steps: target mixed absorption spectrum of a to-be-detected gas and a reference signal are synchronously collected through a measurement channel and a reference channel of a double-channel detection unit, and an environmental parameter is acquired through an environmental parameter sensor; the target mixed absorption spectrum and the environmental parameter are input into a preset machine learning model, and an existing interference gas and a corresponding concentration estimation value thereof are determined in combination with a physical feature library. Through fusion of the preset machine learning model and the physical feature library, in combination with a multi-level priority dynamic line-by-line fitting deduction mechanism and a closed-loop verification iteration strategy, the application can adaptively and high-precisely strip the spectrum line overlapping influence of multiple interference gases in a complex dynamic environment.
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