Since 2011, fog and haze has been appeared in many places of China. Atmosphere particulates components analysis could help people to know the reason of the fog and haze so that we can take measures to deal with it. The purpose of this system is to name the atmosphere particulates, which means to classify the atmosphere particulates into seven common types. In traditional practice, we need to name the particulates artificially and one by one. But, if we want to do this automatically, there are two difficulties we need to solve. First, the scale of data is large. Secondly, it is hard to make rules to summarize the human experience. In this system, we try to use data mining technology to solve the two problems. To decrease the scale of data, we use the Adaptive Resonance Neural Cluster Algorithm, and to summarize the human experience, we use the Logistic Regression Classification Algorithm. At last, we adjust the models to get a better accuracy and meet the needs of the actual application.