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：Studied the change of passenger cabin environment during the ramp berth of A380, analyzed the main factors that affect the thermal environment of A380 cabin and built factor model, collected temperature data of A380 cabin, and established the predict models of thermal environment through analyze the data. Based on this model, nonlinear aggregation, analyze, study and predict changes in the cabin the cabin temperature curve on the cabin environment operators and historical data with BP neural network of multi-polymerization process neurons and actually predicted the change trend of temperature of the cabin, this modelScan provide a goodSplatform for the study ofScabinSthermal environment controlSalgorithm.