In order to optimize the airport security screening channel, the comparison of traditional security channel equipment configuration and new security channel equipment configuration, the cost of the two types of channels was analyzed under the requirements of saving security resources and security. The response value of security screening equipment was simulated by normal distribution, and the false alarm rate and false clear rate were controlled by equipment threshold. The binary decision tree model was used to characterize two types of error probability formulas. For the two types of channel equipment configuration, a nonlinear programming model was established to minimize the security screening cost with the probability of two types of errors as the constraint condition, and the Monte Carlo simulation algorithm was used to solve the problem. The results show that when the new channel is not sampled, the security screening cost of using the new channel can be saved by about 24% compared with the traditional method. When the new channel is sampled at the traditional channel ratio, the cost of using the new channel security screening can be saved by about 18% compared with the traditional one. When the average number of daily single-channel passengers N₁ is between 1 000 and 2 000, the traditional security screening channel equipment can be replaced by a new type of security screening channel equipment, as the per capita security cost is lower than that of the traditional channel. when N₁ is between 500 and 1000, considering the previous fixed cost input problem, the use of traditional channel equipment can be maintained.