随着水下无人系统的快速发展，UUV集群在海洋观测、探测、侦察等应用领域不断拓展。为更好地发挥UUV集群的使用效能，需要根据区域典型环境影响因素，综合设计选取优势布放区域，为兵力合理布势以及任务有序执行提供先期保障。为保障任务海区内合理规划布放UUV集群的需求，提出对任务海区布放优劣性评估的要求。根据区域环境特点、区域限制性、区域安全性等方面，选取典型因素作为网络节点，构建环境因素影响下布放区域评估指标体系，采用贝叶斯估计量化节点参数，基于贝叶斯网络的推理算法可实现对任务海区特点具备良好的映射推理能力，并结合输入指标参数可推理评估出优势布放区域。
With the rapid development of underwater unmanned systems, UUV clusters are constantly expanding in the fields of ocean observation, detection, reconnaissance and other applications. In order to better utilize the effectiveness of UUV clusters, it is necessary to comprehensively design and select the advantageous deployment areas according to the typical regional environmental influencing factors, so as to provide advance guarantee for the reasonable deployment of troops and the orderly execution of tasks. In order to guarantee the demand for rational planning and deployment of UUV clusters in the mission sea area, the requirement of evaluating the advantages and disadvantages of deployment in the mission sea area is put forward. According to the regional environmental characteristics, regional restrictions, regional security and other aspects, typical factors are selected as network nodes to construct the deployment area assessment index system under the influence of environmental factors, Bayesian estimation is used to quantify the node parameters, and the inference algorithm based on the Bayesian network can realize a good mapping inference capability for the characteristics of the mission sea area, and combined with the input index parameters can be inferred and assessed to the advantageous deployment area.
2025,47(5): 166-172 收稿日期：2024-7-19
DOI：10.3404/j.issn.1672-7649.2025.05.025
分类号：U674.941；P715
基金项目：国家重点研发计划项目（2022YFC3103500）；泰山学者工程专项经费资助项目（2021-261）
作者简介：张驰（1990 – ），男，硕士，助理研究员，研究方向为水下作战环境效应仿真与评估
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