摘要
针对应急物资调运时运输机载重和空间利用率偏低问题,面向类型多、尺寸质量差异大、存在捆绑或成比例运输的非标应急物资,研究运输机的混合装载方法。提出基于尺寸的分类标准,将物资分为大中小3类;针对中小型物资建立多目标二维装载模型,融合最低水平线算法与非支配排序遗传算法(NSGA-Ⅲ)求解,将结果视为大型物资;在运输机货舱中,以最大装载面积、业载及最小重心偏差为目标,利用NSGA-Ⅲ生成大型物资装载方案。结果表明:该方法通过物资分类与分阶段求解,可有效降低解空间维度,提高求解效率,生成的装载方案的货舱空间平均利用率达78.09%,载重平均利用率达86.19%,平均重心偏差仅0.222 m,在保障飞行安全的前提下显著提升运输机利用率,为应急救援快速决策提供支持。
In order to address the problem of low payload and spatial utilization rates in the air transportation of emergency supplies,this study focuses on mixed loading schemes for transport aircraft,targeting non-standard emergency materials characterized by diverse types,significant variations in size and mass,and the presence of bundling or proportional transportation requirements.A size-based classification criterion was proposed to divide the materials into three categories:large,medium,and small.For medium and small items,a multi-objective two-dimensional loading model was established and solved by integrating the bottom-left algorithm with NSGA-III.The resulting configurations were then treated as large-sized items.Within the aircraft cargo hold,NSGA-III was further employed to generate loading schemes for these large-sized items,with the objectives of maximizing loaded area and payload weight while minimizing center-of-gravity deviation.The results indicate that,through material classification and staged optimization,the proposed method effectively reduces the dimensionality of the solution space and improves computational efficiency.The generated loading schemes achieve an average cargo space utilization rate of 78.09%,an average payload utilization rate of 86.19%,and an average center-of-gravity deviation of only 0.222 meters.This approach significantly enhances the utilization of transport aircraft while ensuring flight safety,and provides timely decision-making support for emergency relief operations.
作者
唐建勋
岳帅
王岩韬
赵向领
TANG Jianxun;YUE Shuai;WANG Yantao;ZHAO Xiangling(School of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China;Operation Control Center,Air China Limited,Beijing 100621,China)
出处
《中国安全科学学报》
北大核心
2025年第9期244-252,共9页
China Safety Science Journal
基金
国家重点研发课题(2022YFC3002502)。
关键词
非标应急物资
运输机
装载方案
非支配排序遗传算法(NSGA-Ⅲ)
最低水平线
non-standard emergency supplies
air transportation
loading program
non-dominated sorting genetic algorithm(NSGA-Ⅲ)
bottom-left algorithm
