Abstract:For environmental monitoring, the existing online analysis system is difficult to deal with massive atmospheric particle data.In this paper, we propose an atmospheric particle online analysis system based on real-time technologies, which aims to achieve atmospheric particle statistics, concentration change and the source analysis.The system adopts real-time databases to realize real-time capturing, stores massive atmospheric particle data, and solves the massive data problem in environmental monitoring.Besides, to accelerate data analysis and reduce data scale, the system adopts the ART-2a neural network algorithm and logistic regression model.The experiment results prove that the online analysis system could get accurate analysis result within a reasonable time.Besides, the experiment demonstrates the practical significance of our system.