计算机科学 ›› 2025, Vol. 52 ›› Issue (6A): 240900071-9.doi: 10.11896/jsjkx.240900071
杨镇宇, 戢晓峰, 马武彬, 吴亚辉
YANG Zhenyu, JI Xiaofeng, MA Wubin, WU Yahui
摘要: 深海探测潜水器在故障失联后会面临严峻考验,及时预测其所在位置并展开救援极为重要。然而,受洋流、海水盐度、海底地形等多种不确定因素影响,精确预测潜水器位置非常困难。针对此问题,传统的单个因素分别分析方法存在巨大缺陷,难以准确描述复杂海洋环境下的潜水器运动模式。对深海环境中的不确定因素进行了耦合分析,建立了基于微分方程的多因素耦合下失联后潜水器的运动模型,分类仿真了潜水器在8种地形等多种因素影响下的运动轨迹并进行了可视化展示,为深海探测潜水器的定位和寻找提供决策支撑。经实验验证,该模型能够准确地判定在复杂海洋环境中的潜水器位置,准确率相比其他基线算法均有提升。
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