为了对机场航班延误情况做出较准确的检测,提出了一种基于高斯分布的进出港航班延误免疫检测模型。该模型利用生物免疫机制与航班运行机制的联系,建立了相应的自体集合、检测细胞及它们之间的匹配模型,同时针对每一架飞机每天要执行多个航班,机场进港航班与出港航班形成的前序后继关系,采用高斯分布进行拟合航班链延误波及影响。对国内某机场仿真实验结果表明,该模型有较好的效果。 In order to make a more accurate detection of airport flight delays, a delay immune detection model based on Gaussian distribution is proposed. The model uses the biological immunity mechanism and the flight operation mechanism, establishes the corresponding autologous collection, detects the cells and matching models between them, and at the same time for each aircraft to perform multiple flights daily, airport inbound and outbound flights The formation of the sequence of successors, the use of Gaussian distribution to fit flight delays affect the flight chain. Simulation results of a domestic airport show that the model has good results.