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针对当前用于分析瓦斯浓度数据的高斯寻峰算法存在较大误差现象,采用量子粒子群算法,对非均匀采集到的瓦斯浓度数据进行优化。经过实验,得出了量子粒子群算法的瓦斯浓度检测结果比粒子群算法的检测结果精度更高、误差更小,检测速度更快的结论,表明量子粒子群算法在瓦斯浓度检测中有一定的应用价值。
There is a big error phenomenon in the current Gaussian search algorithm for analyzing gas concentration data, and the quantum particle swarm optimization algorithm is used to optimize the gas concentration data collected unevenly. Through experiments, we conclude that the detection results of gas concentration of QPSO algorithm are more accurate and less error than the particle swarm optimization algorithm, and the detection speed is faster. It shows that quantum particle swarm optimization algorithm has certain gas concentration detection Value.