A novel processing for multiple gases detection

It is difficult to detect multiple gases by single chemical sensor because of nonlinear and complicated relations between multiple gas and surface of sensitive materials. In this paper, the technology of multisensor data fusion is applied to detect multiple gases. It is presented a novel detection method based on multiobjective genetic algorithm(MOGA) for analyzing and distinguishing each component´s concentration in multiple gases. The multigas detection is transformed to multiobjective optimization problem. In order to avoid premature convergence, sharing function is introduced to maintain the diversity of the population. The theory of multiple gases detection is described in detail. The experimental results are given and the results demonstrate the mechanism proposed in this paper is effective.