Infrared Laser Gas Detection Filtering for Accurate Concentration Inversion

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Infrared laser gas detection in complex underground environments, such as coal mines, is hindered by interference from rectification effects, ripples, and noise signals, leading to insufficient detection accuracy.

Innovation Solution

A signal filtering and concentration inversion method using a transmissive-type infrared laser gas detection system, which includes signal filtering and concentration inversion models, to suppress noise, enhance detection sensitivity, and achieve precise gas concentration inversion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If infrared laser detection is used in complex underground environments, then detection speed and cost-effectiveness are improved, but detection accuracy deteriorates due to noise interference from rectification effects, ripples, and electromagnetic interference

Engineering Contradiction:

Improvedetection speedVSAvoiddetection accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The detection signal is segmented into different frequency components through harmonic decomposition. The first harmonic signal and second harmonic signal are separated and processed independently, allowing selective filtering of noise components while preserving the useful gas detection signal. This segmentation enables targeted noise suppression without compromising detection speed.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The harmful noise components (rectification effects, ripples, electromagnetic interference) are extracted and removed from the detection signal through signal filtering. The filtering model specifically targets and extracts unwanted frequency components while retaining the characteristic gas absorption signals, thereby improving measurement precision without sacrificing detection efficiency.

Inventive Principle:

Principle #2Taking out (Extraction)

2Measurement precision

If signal filtering is applied to remove noise, then detection accuracy is improved, but system complexity increases due to additional filtering and concentration inversion models

Engineering Contradiction:

Improvedetection accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The signal processing system performs multiple functions through integrated models: the filtering model simultaneously removes various noise types (rectification, ripple, electromagnetic), while the concentration inversion model concurrently handles signal reconstruction and gas concentration calculation. This multi-functionality reduces the need for separate dedicated components for each processing task, thereby limiting the increase in system complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

Complex mechanical or hardware-based noise filtering systems are replaced with software-based signal processing models. The filtering and concentration inversion are achieved through computational algorithms rather than physical filters or additional hardware components, reducing system complexity while maintaining or improving detection accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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 achieves noise suppression, enhanced detection sensitivity, and accurate concentration inversion, enabling precise signal detection and timely emergency responses in hazardous gas conditions.

Implementation Method 1

infrared laser detection technology

Methodology Applied

Scientific EffectAbsorption Spectroscopy: Absorption Spectroscopy

Implementation Method 2

transmissive-type infrared laser gas detection system

Methodology Applied

Scientific EffectBeer-Lambert Law: Absorption (EM radiation)

Implementation Method 3

performing amplification-processing on the first-harmonic signal to obtain a second-harmonic signal

Methodology Applied

Scientific EffectFrequency Multiplication:

Implementation Method 4

introducing the second-harmonic signal into a signal filtering model to obtain a denoised second-harmonic signal

Methodology Applied

Scientific EffectSignal Filtering: Filter (electronic)

Data Source

PatentUS20260029351A1Signal filtering and concentration inversion method for infrared laser detection

Publication Date: 2026.01.29 XIAN UNIV OF SCI & TECH

AI summary

A signal filtering and concentration inversion method for infrared laser detection, implemented through a signal filtering and concentration inversion system for infrared laser detection, includes the following steps: S1, building a transmissive-type infrared laser gas detection system at an on-site detection location, setting fixed parameter information, and establishing normal communication on an optical detection part and obtaining a first-harmonic signal; S2, performing amplification-processing on the first-harmonic signal to obtain a second-harmonic signal, and introducing the second-harmonic signal into a laser filtering-processing model to obtain a denoised second-harmonic signal; S3, inputting the first-harmonic signal and the denoised second-harmonic signal into a concentration inversion model to obtain a concentration signal of a to-be-detected gas; and S4, determining, based on the concentration signal of the to-be-detected gas, whether a hazardous gas limit has been exceeded at the on-site detection location.