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This paper is to set up a temperature monitoring and early warning model in the vaccine cold chain logistics process. Through the temperature prediction by using the BP neural network algorithm, and the effective decision-making early warning by using the fuzzy inference. To reduce the possible losses in the cold chain logistics process . In simulation stage, construct a 13 hidden neurons’ BP neural network. Through MATLAB simulation, training regression R very close to 1, and the desired output is really close on actual value too; the fuzzy inference system use the trapmf function. The simulation of regular surfaces show that the rules have good judgment.