A Gas Concentration Detection Algorithm Based on Biochemistry Molecular Relaxation Models

In this paper, we establish some multi-dimensional biochemistry molecular relaxation recognition pattern models for the concentrations of gas mixture constituents versus effective relaxation frequency, multi-relaxation absorption, and acoustic velocity, respectively. Based on these match models and measured parameters, we propose a biochemistry molecular relaxation pattern recognition algorithm to detect concentration of each component in gas mixture. As a sample of carbon monoxide, water vapor, nitrogen and oxygen gas mixture, the simulation results demonstrate that this algorithm can gain the concentration of gas with arbitrary concentration and polar.