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Published on: March 22, 2019
Multi-Gas Detection System Based on Non-Dispersive Infrared (NDIR) Spectral Technology
Manlin Xu1, Bo Peng2, Xiangyi Zhu1
1Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China.
A new non-dispersive infrared (NDIR) system economically detects automobile exhaust gases like carbon dioxide (CO2), carbon monoxide (CO), and propane (C3H8). This energy-efficient system offers accurate gas concentration analysis for improved urban air quality monitoring.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Sensor Technology
Background:
- Automobile exhaust gases, including carbon dioxide (CO2), carbon monoxide (CO), and propane (C3H8), contribute to significant environmental issues like the greenhouse effect, photochemical smog, and haze.
- These pollutants pose a threat to urban atmospheric quality and human health, necessitating effective monitoring solutions.
Purpose of the Study:
- To develop an economical and energy-efficient non-dispersive infrared (NDIR) multi-gas detection system for analyzing automobile exhaust gases.
- To establish and validate a concentration inversion model for accurately quantifying CO2, CO, and C3H8 levels.
- To assess and model the interference between these gases to ensure reliable detection.
Main Methods:
- Development of a non-dispersive infrared (NDIR) system featuring a broadband light source, gas cell, and a four-channel pyroelectric detector.
- Establishment of a concentration inversion model using the least squares method to correlate voltage ratios with gas concentrations (C3H8: 0-5000 ppm, CO: 0-14%, CO2: 0-20%).
- Testing of interference coefficients and development of interference models between the three gases using the least square method.
Main Results:
- The developed NDIR system demonstrated accurate detection ranges for C3H8, CO, and CO2.
- Experimental verification of the concentration inversion model showed a full-scale error of less than 3.5%.
- The system achieved a detection repeatability error below 4.5% and detection stability under 2.7%.
Conclusions:
- The developed NDIR multi-gas detection system is an economical and energy-efficient solution for analyzing key automobile exhaust gases.
- The established concentration inversion and interference models provide a reliable method for quantifying gas levels.
- This technology shows promise for effective monitoring of urban air quality and mitigating the adverse effects of vehicle emissions.
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