[A research of stability method for non-dispersive infrared gas analysis based on multi-parameter model]

Area of Science:

• Environmental monitoring
• Analytical chemistry
• Infrared spectroscopy

Context:

• Non-dispersive infrared (NDIR) gas analysis traditionally faces challenges with long-term zero and temperature drift.
• Electronic and detector response drifts necessitate manual zeroing procedures.
• Maintaining stable and accurate gas concentration measurements over time is crucial for environmental and industrial applications.

Purpose:

• To develop an automated solution for zero and temperature drift in NDIR gas analyzers.
• To improve the long-term stability and precision of gas monitoring instruments.
• To reduce the need for manual calibration and maintenance.

Summary:

• A novel multi-parameter model was developed to automatically correct zero and temperature drifts in NDIR gas analysis.
• The model incorporates parameters such as zero gas intensity, reference channel intensity, and temperature variations.
• Field trials demonstrated monitoring precisions below 5% full-scale across different temperatures and extended periods.

Impact:

• Significantly improved average precision for carbon monoxide monitoring from 9.26% to 1.23%.
• Enhanced average precision for hydrocarbon monitoring from 10.61% to 0.70%.
• Reduced instrument maintenance costs and eliminated the need for frequent periodic calibration.