航母舰载机保障作业任务分配及弹药转运调度优化方法

doi:10.12382/bgxb.2024.0595

摘要/Abstract

摘要：

针对航母舰载机弹药保障作业的时限性和复杂性,在已知保障任务的前提下,通过场景建模和任务分配等手段,提出一种面向阱口的舰载机弹药保障作业的调度优化方法。构建以避障原则的运输路径模型、以均衡原则的弹药分配模型,与兼顾实战性和高效性的舰载机弹药转运调度模型。结合实际作业情况,通过Safe A^*算法和贪婪算法确定各阱口的保障对象,提出一种基于染色体片段编码的改进遗传算法,以最小化弹药保障作业完成时间为目标对调度模型进行求解。研究结果表明,新方法在优化方案耗时和资源利用等方面均优于其他分配策略和调度算法,验证了其在实际弹药保障过程中具有可行性和高效性。

关键词: 航母舰载机, 弹药保障作业, 运输路径, 均衡分配, 调度优化

Abstract:

In view of the time limit and complexity of ammunition support operation of carrier-borne aircraft, a scheduling optimization method is proposed for the ammunition support operation of carrier-borne aircraft facing the elevator hatch through scene modeling and task allocation under the premise of the known support task. A transportation path model with obstacle avoidance principle, an ammunition distribution model with equilibrium principle, and a carrier-based aircraft ammunition transport scheduling model with both actual combat and high efficiency are constructed. Based on the actual operation situation, the guarantee object of each elevator hatch is determined by Safe A^* algorithm and greedy algorithm, and an improved genetic algorithm based on chromosome segment coding is proposed to solve the scheduling model with the goal of minimizing the completion time of ammunition support operation. The results show that the proposed method is better than other allocation strategies and scheduling algorithms in terms of time consuming and resource utilization, which verifies its feasibility and efficiency in the actual ammunition support process.

Key words: carrier-borne aircraft, ammunition support operation, transportation path, balanced distribution, scheduling optimization

中图分类号:

TP273

袁子龙, 何非, 赵建波, 王少参, 江明明. 航母舰载机保障作业任务分配及弹药转运调度优化方法[J]. 兵工学报, 2025, 46(5): 240595-.

YUAN Zilong, HE Fei, ZHAO Jianbo, WANG Shaoshen, JIANG Mingming. Optimization Method of Carrier-borne Aircraft Support Operation Assignment and Ammunition Transport Scheduling[J]. Acta Armamentarii, 2025, 46(5): 240595-.

图/表 19

参考文献 26

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算法:		车辆调度冲突处理与优先级校验修正
输入:		任务列表tasks (包含优先级信息),车辆使用情况vehicle_usage,转运时间transport_times,车辆列表vehicles
输出:		校正后的方案安排
	1	初始化车辆使用表vehicle_usage
	2	对任务列表tasks按优先级从高到低排序
	3	For task in tasks:
	4	取出任务的转运车vehicle,开始时间start_time,优先级priority
	5	If vehicle在使用中:
	6	获取上一次的结束时间last_end_time
	7	计算回程空窗期=last_end_time + transport_times[vehicle]
	8	If start_time <回程空窗期:
	9	检查当前任务与占用任务的优先级
	10	If当前任务优先级较高:
	11	将占用任务的start_time推迟到回程空窗期
	12	更新占用任务的结束时间
	13	else
	14	更新当前任务的start_time=回程空窗期
	15	检查是否有空闲车辆free_vehicle:
	16	If存在free_vehicle:
	17	重新分配任务到free_vehicle,并更新该车辆的使用时间
	18	else
	19	任务必须等待,更新start_time=回程空窗期
	20	重新计算任务的end_time=start_time+duration
	21	更新vehicle_usage[vehicle]=end_time
	22	Back调整后的任务时间安排

算法:		车辆调度冲突处理与优先级校验修正
输入:		任务列表tasks (包含优先级信息),车辆使用情况vehicle_usage,转运时间transport_times,车辆列表vehicles
输出:		校正后的方案安排
	1	初始化车辆使用表vehicle_usage
	2	对任务列表tasks按优先级从高到低排序
	3	For task in tasks:
	4	取出任务的转运车vehicle,开始时间start_time,优先级priority
	5	If vehicle在使用中:
	6	获取上一次的结束时间last_end_time
	7	计算回程空窗期=last_end_time + transport_times[vehicle]
	8	If start_time <回程空窗期:
	9	检查当前任务与占用任务的优先级
	10	If当前任务优先级较高:
	11	将占用任务的start_time推迟到回程空窗期
	12	更新占用任务的结束时间
	13	else
	14	更新当前任务的start_time=回程空窗期
	15	检查是否有空闲车辆free_vehicle:
	16	If存在free_vehicle:
	17	重新分配任务到free_vehicle,并更新该车辆的使用时间
	18	else
	19	任务必须等待,更新start_time=回程空窗期
	20	重新计算任务的end_time=start_time+duration
	21	更新vehicle_usage[vehicle]=end_time
	22	Back调整后的任务时间安排

弹药转运车类型c_g	弹药运输类型d_k	弹药运输类型数量c_gk	运输速度c_g_,v/ (m·min^-1)
Ⅰ	AAM/AGM/ASM	2/2/1	20
Ⅱ	AGM/ASM	2/1	30
Ⅲ	ASM	1	25

弹药转运车类型c_g	弹药运输类型d_k	弹药运输类型数量c_gk	运输速度c_g_,v/ (m·min^-1)
Ⅰ	AAM/AGM/ASM	2/2/1	20
Ⅱ	AGM/ASM	2/1	30
Ⅲ	ASM	1	25

阱口缓冲区	中心坐标/cm	转运车数量/辆			车辆编号c_s
阱口缓冲区	中心坐标/cm	类型Ⅰ	类型Ⅱ	类型Ⅲ	车辆编号c_s
a₁	(37.5,25)	2	4	4	1~10
a₂	(58.5,25)	1	5	4	11~20
a₃	(77.5,25)	3	3	4	21~30
a₄	(87.5,8)	2	2	6	31~40