摘要
针对物流无人机的配送问题,综合考虑无人机故障、分段电池能耗和飞行可靠性等影响因素构建不确定故障下的无人机配送模型;采用蚁群算法对模型求解,最后运用标准算例场景进行测试。结果表明:在考虑无人机不确定故障场景下,最小需求损失提供的配送方案平均配送成本增加2.77%,可靠性提高7.04%~10.47%;最小综合成本提供的配送方案平均配送成本增加0.81%,可靠性提高2.2%~8.88%。前者所提供配送方案更可靠,但对应成本增加比例相对较大,后者综合考虑成本和损失,以较小的成本代价提高配送网络可靠性。
For the delivery problem of logistics drone,a drone delivery model with uncertain failure was constructed in this paper by considering the influencing factors of drone failure,segmented battery energy consumption and flight reliability.The ant colony algorithm was used to solve the model,and finally a standard example scenario was used to verify the algorithm.The results show that the average delivery cost of the delivery scheme provided by the minimum demand loss increases by 2.77%and the reliability increases by 7.04%~10.47%when the uncertain failure scenario of the drone is considered.The average delivery cost of the delivery scheme provided by the minimum comprehensive cost increases by 0.81%,and the reliability is improved by 2.2%~8.88%.The former delivery scheme is more reliable,but the proportion of the corresponding cost increase is relatively large,while the latter considers the cost and loss comprehensively and improves the reliability of delivery network with a small cost.
作者
任新惠
苟利珍
武彤
REN Xin-hui;GOU Li-zhen;WU Tong(School of Economics and Management,Civil Aviation University of China,Tianjin 300300,China;School of Transportation Science and Engineering,Civil Aviation University of China,Tianjin 300300,China)
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2022年第3期732-745,共14页
Journal of Guangxi University（Natural Science Edition）
基金
国家自然科学基金项目(52102419)
中央高校基本科研业务费项目(3122021091)
中央高校基本科研业务费项目(3122018C035)
中国民航大学研究生科技创新项目(2021YJS050)。
关键词
无人机配送
不确定故障
可靠性
分段能耗
蚁群算法
drone delivery
uncertain failure
reliability
segmented energy consumption
ant colony algorithm
