The Method of Division and Classification Quantification for Snow and Ice Removal on Airport Pavement

In the northern cities of China, the winter snow and ice on the airport pavement seriously affects the airport operation efficiency. It is necessary to study the area division and classification quantification of airport pavement snow and ice removal operation in order to scientifically dispatch the equipment group of airport pavement for snow clearance and de-icing. Based on the analysis of the importance of different airport pavements, the airport pavement is divided into different snow removal areas, and the initial priority quantification model is proposed. The gray difference network method is used to predict the operation time of the airport pavement snow removal. Then, the dynamic priority model of the airport pavement is established with the initial priority as the input, and the dynamic status of the airport pavement priority in each stage is generated, and output dynamic priority matrix. Finally, the process of snow and ice removal in a large hub airport is simulated, and the simulation results show that the proposed method is feasible.