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作 者:周德海 应杰 韩鹏[1] ZHOU Dehai;YING Jie;HAN Peng(Northwestern Polytechnical University,Xi’an 710072,China;China Ship Development and Design Center,Wuhan 430064,China)
机构地区:[1]西北工业大学,西安710072 [2]中国舰船研究设计中心,武汉430064
出 处:《兵器装备工程学报》2024年第6期127-133,290,共8页Journal of Ordnance Equipment Engineering
基 金:海洋防务创新中心创新基金项目(TJ-2021-701-02)。
摘 要:以主动声纳方程为出发点,综合考虑海底地形、底质、水温、水质、流速、海况和航速等海洋环境因素,对接收信号信噪比变化量进行了对比分析。结合水雷姿态模型、传播损失模型和噪声模型,准确评估水雷装备的作战能力,通过分析作战效能,为部队训练和作战提供了实用参考和依据。无人艇集群反水雷作业中,提出了基于蚁群算法的协同蚁群算法搜索,仿真表明,在海洋环境恶劣、装备性能比较差的条件下,协同蚁群算法相比于全遍历搜索算法效率提高了18.9%,比蚁群算法搜索提高了10.4%,可以有效减少反水雷作业时间,并提高无人艇协同搜索水雷的效率。最后通过可视化软件搭建海战场水雷装备模型,对海洋环境因素参数进行综合的考虑,对水雷作战选型方案进行数据分析,给作战方案提供决策支撑,可为相关行业人员提供参考和使用。Commencing from the active sonar equation,this study holistically assesses variations in received signal-to-noise ratio,considering marine environmental factors including seabed topography,sediment composition,water temperature,water quality,flow velocity,sea conditions,and sailing speed.By merging mine attitude models,propagation loss models,and noise models,the operational capacity of mine equipment is precisely evaluated.Through an analysis of operational efficiency,practical references and foundations are furnished for military training and operations.In the context of unmanned boat cluster anti-mine operations,a collaborative ant colony algorithm search grounded in the ant colony algorithm is proposed.Simulations demonstrate that the collaborative ant colony algorithm outperforms exhaustive search algorithms by 18.9%,and by 10.4%compared to solitary ant colony algorithm searches under unfavorable marine conditions and suboptimal equipment performance.This method effectively trims the time required for anti-mine operations and enhances the efficiency of collaborative mine search by unmanned boats.Lastly,utilizing visualization software,a naval battlefield mine equipment model is constructed,comprehensively factoring in marine environmental parameters.A data analysis of mine warfare selection schemes is performed,furnishing decision-making support for operational plans and serving as a reference for relevant industry professionals.
关 键 词:海洋环境因素 信噪比变化量 蚁群算法 可视化软件
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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