基于概率图的作战任务智能规划方法

doi:10.3969/j.issn.1001-506X.2020.12.16

Abstract

Abstract:

In view of the low efficiency of manual allocation of combat resources and planning scheme, an intelligent planning method of combat tasks is proposed based on probability graph. The causality between tasks is determined by statistical analysis, and the key events in the task are extracted by using graph neural network (GNN) to construct probability diagram and calculate the success probability of mission planning scheme. Then, the change of battlefield situation can be predicted and the commander can be assisted to achieve intelligent decision based on the time series method. Finally, the method verification is carried out in a joint landing case. The results show that the proposed method can realize the mission planning successfully with interpretability, the prediction and rapid response of the battlefield situation changes, and provide strong support for the army in the battlefield.

Key words: battlefield situation, interpretability, probability graph, graph neural network (GNN), time series prediction

CLC Number:

TP181

Bohan WANG, Chao WU, Wenjun KE, Kaizhi ZHENG, Xiufeng FU, Shan JIANG. Intelligent planning method of combat mission based on probability graph[J]. Systems Engineering and Electronics, 2020, 42(12): 2795-2801.

Figures/Tables 9

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References 30

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序号	元素	含义
1	对象	感兴趣的目标事物
2	谓语	感兴趣的对象特征,可以是正向的也可以是负向的
3	初始态	整个系统初始的状态
4	目标细节	想要达到的目的
5	动作	改变整个系统状态的方式

动作	联合登岛	相似案例	聚类结果
动作1	北滩夺取	登岛部队登陆	夺取陆地权
动作2	防御地空导弹攻击	炮兵火力打击	夺取制空权
动作3	北滩火力支援	火箭炮兵群射击	分支作战线路防御

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Intelligent planning method of combat mission based on probability graph

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